Purpose:
The research purpose is to investigate the impact of green entrepreneurial orientation ... more Purpose: The research purpose is to investigate the impact of green entrepreneurial orientation (GEO) on operational performance (OP) in renewable energy companies, with a particular focus on the mediating roles of green innovation strategy (GIS) and green innovation culture (GIC).
Design/methodology/approach: Data were collected through interactive surveys with 338 middle and senior managers of renewable energy companies prioritizing sustainability. The relationships between variables were analyzed using SmartPLS and Jamovi software, which facilitates structural equation modeling.
Findings: The analysis revealed that GEO had a significant positive impact on both GIS and GIC, followed by OP. It is supported by the hypotheses that mediating variables GIS and GIC positively influence OP, and their important role in transforming entrepreneurial efforts into operational success is confirmed.
Research limitations/implications: The research is limited to renewable energy companies and findings may not be generalizable to other sectors. Future research could expand the scope to include different industries and geographic contexts. Additionally, dimensional research studies can provide deeper insights into the long-term effects of GEO, GIS and GIC on OP.
Practical implications: The findings suggest that renewable energy companies should encourage a strong entrepreneurial orientation towards green practices. Emphasizing innovation strategies and developing a green culture within organizations can lead to improved OP, supporting overall sustainability goals.
Originality/value: The research provides a comprehensive framework for understanding the drivers of OP in the renewable energy sector, providing a new perspective by combining GEO with innovation strategies and cultural elements. The originality of the research lies in the application of these concepts to an industry where sustainability is very important.
Purpose: The purpose of the research is to examine the effects of technology orientation (TO) on ... more Purpose: The purpose of the research is to examine the effects of technology orientation (TO) on information technology companies, not as a dimension of strategic orientation (SO), but as an independent variable and together with technology innovation strategy (TIS).
Design/methodology/approach: In the research, technoparks operating in the province of Istanbul were determined as the main population. The questionnaire used was applied to the participants working in senior and middle management positions in the companies in these technoparks. Questionnaires were sent via e-mail to the participants (by random sampling method) after obtaining the necessary permissions. In total, the data of 665 participants were included in the analysis. SmartPLS program was used for analysis.
Findings: Asaresultoftheanalysis, it is supported by hypotheses that TO, TIS and SO havepositiveeffects onperformance variables.
Research limitations/implications: However, when looking at the situation that researchers should consider in terms of the limitations of the research, the data were collected only from information technology companies located in technoparks in Istanbul. Therefore, it may not be correct to make a general judgment.
Practical implications: Because future technology investments among information technology companies are important, it can be argued according to the results of the analysis that TO and technology innovation strategies are important in terms of gaining competitive advantage. At the same time, it is supported by hypotheses that SO is important to be successful in the field of technology against competitors.
Social implications: The research emphasizes how companies that are proactive in adopting and integrating new technologies can achieve superior performance results. A detailed perspective is presented on how companies can benefit from SO to maximize the return they receive from their technological investments. Additionally, focusing on technoparks as unique environments that facilitate the integration of industrial and technological resources, the research emphasizes the importance of such ecosystems in promoting innovation and economic development.
Originality/value: The research is important research that will contribute to the literature in terms of collecting and examining data from information technology companies in technoparks and examining the effects of TOandTISofinformation technology companies in technoparks.
International Journal of Quality & Reliability Management, 2025
Purpose: The research examines the impact of creativity-oriented human resources management (HRM)... more Purpose: The research examines the impact of creativity-oriented human resources management (HRM) and quality management (QM) on firm performance, social sustainability and environmental performance, focusing on the mediating role of commercialization.
Design/methodology/approach: Data were collected from 527 experts based in Istanbul with at least 5 years of experience in the information technologies (IT) sector. The sample includes a demographic distribution according to age ranges and educational qualifications. Using a survey containing 47 scales, confirmatory factor analysis (CFA) and structural equation modeling (SEM) analyzes were conducted through Jamovi 2.3.28.
Findings: The results show that both creativity-oriented HRM and QM positively affect commercialization. In addition, commercialization positively affects firm performance, social sustainability and environmental performance, thus establishing a mediating role in the relationship between management practices and performance results.
Research limitations/implications: The research is limited to the IT sector in Istanbul, Turkey, and may not be generalizable to other regions or sectors. Future research may expand geographic and sectoral coverage to confirm and extend these findings.
Practical implications: Companies can leverage creative HRM and QM strategies not only to increase commercialization efforts but also to achieve superior firm performance, social sustainability and environmental outcomes. This highlights the strategic role of HR and quality initiatives in driving overall business success.
Social implications: In the research, it is stated that creativity-oriented HR is important to promote human capital as an important driver of performance improvement, supported by the resource-based view (RBV) theory. Also, by supporting the dynamic capabilities theory, by promoting quality and creativity, innovations can be better commercialized and both performance outcomes and sustainability results can be positively affected.
Originality/value: This research provides new insights into the mediating effects of commercialization between internal management practices and broad performance measures in the IT sector. It underlines the importance of promoting innovative HR and quality practices to achieve sustainable business performance.
International Journal of Productivity and Performance Management, 2025
Purpose:
In order to make a difference in a globally competitive environment, companies should a... more Purpose: In order to make a difference in a globally competitive environment, companies should analyze their competitors, which is one of the factors around them, well, do research, observe the environment and know how to adapt. For this purpose, the research examines the effects of competitive intensity and marketing and sales capabilities, together with the global capabilities of logistics companies operating internationally (third-party logistics companies (3PL)), which are examined.
Design/methodology/approach: To establish and test the model, a sample of 504 participants working at senior levels in internationally operating logistics companies (third-party logistics companies (3PL)) with their headquarters in Istanbul was taken and a scale consisting of a total of 32 statements was presented to them. Analyses were performed using Jamovi and SmartPLS 3.3.5. This program was used because, in addition to estimating path models with latent variables, it also calculated standard results evaluation criteria. First, the results of factor analysis are given. After these analyses were completed, the hypotheses were tested.
Findings: This research is supported by hypotheses as a result of the analysis that global capabilities are an important factor for logistics companies at the international level, and that the competitive intensity also affects the performance outputs and that marketing and sales capabilities also have an impact.
Research limitations/implications: Since data are collected from logistics companies operating globally, it is necessary to pay attention when the analysis results are compared with different sectors. Because the intensity of competition may vary depending on the sector and market in which companies operate. At the same time, the data were collected from authorized white-collar employees working at a senior level in logistics companies. Because, in terms of the level of being able to answer the questions about the variables examined in the research model, data were collected from high-level officials.
Practical implications: It is getting harder and harder to compete on a global scale by going beyond national borders. The results of the analysis show how important the global capabilities of logistics companies are, especially the increasing importance of logistics activities for countries. For this reason, logistics companies operating on an international scale need to attach importance to the competitive intensity and develop their marketing and sales capabilities.
Originality/value: The research is original in that it examines the global capabilities of logistics companies in their international activities and the effects of competition intensity. In addition, it is important for companies in this sector to examine the effects of marketing and sales capabilities so that logistics companies can reach more customers in their international activities and be more effective in the market compared to their competitors.
Navigating Organizational Behavior in the Digital Age With AI, 2025
The intersection of entrepreneurship, digital technologies, and artificial intelligence (AI) is s... more The intersection of entrepreneurship, digital technologies, and artificial intelligence (AI) is shaping the modern business landscape and future economic opportunities. It is important to examine entrepreneurial behavior patterns and entrepreneurial intent, the motivations, attitudes, and actions of contemporary entrepreneurs in terms of digital technology and AI. In the context of Industry 4.0, digitalization presents both challenges and opportunities, encouraging businesses to adapt to advanced technologies such as AI and automation while contributing to sustainable development goals. The chapter examines the evolving digital entrepreneurship ecosystem, emphasizing the role of infrastructures, policies, and funding that support innovation. The future of AI is assessed, discussing technological advances and the societal challenges that need to be addressed to ensure that AI serves as a force for sustainable growth and positive societal impact.
Considering the critical intersection of entrepreneurship, competitiveness and digital transforma... more Considering the critical intersection of entrepreneurship, competitiveness and digital transformation in the age of Artificial Intelligence (AI), the drivers of economic growth and social progress and the transformative power of digitalization for firms become even more important. In particular, it is necessary to consider how digital entrepreneurship is reshaping industries and providing new opportunities for innovation and value creation. The theoretical framework for the adoption of AI and insights into organizational characteristics are presented, and the importance of AI in enhancing firms' competitive advantage is becoming increasingly evident.Therefore, in this chapter, AI applications in industries that demonstrate the significant impact of AI on decision- making processes and future business strategies are explained, and AI is examined as an important element in shaping the strategic direction and sustainability of companies in an increasingly competitive global market.
Journal of Economic and Administrative Sciences, 2024
Purpose:
The purpose of the study is to examine the effects of innovative working behavior and l... more Purpose: The purpose of the study is to examine the effects of innovative working behavior and leader support of employees in marketing and advertising companies, one of the sectors where creative ideas and innovative thoughts are common.
Design/methodology/approach: Within the scope of the research, a questionnaire was applied to 443 authorized employees working in marketing and advertising companies headquartered in Istanbul in order to examine innovative work behavior and leader support. The collected data were analyzed using the SmartPLS 3.3.9 package program.
Findings: As a result of the analysis of the collected data, it is supported by hypotheses that innovative work behavior and leadership support have positive effects on employees.
Research limitations/implications: It is not possible to make generalizations because a questionnaire was administered to 443 authorized employees working in marketing and advertising companies whose research centers are located in Istanbul. However, it should be taken into account as a source to provide a basic idea for future research.
Practical implications: As a result of the analysis of the data collected from the marketing and advertising sectors, where creativity and innovation are common, it can be explained that innovative work behavior has positive effects, and that the positive effects continue with the effect of leader support on innovative work behaviors.
Originality/value: The research is original since it is carried out in marketing and advertising companies where traditional activities are not accepted, constantly innovative ideas and thoughts are stated and innovative behavior of employees is important in terms of raising awareness.
PurposeDrawing from dynamic capability (DC) theory, this study aims to investigate how big data a... more PurposeDrawing from dynamic capability (DC) theory, this study aims to investigate how big data analytics (BDA)-enabled dynamic capabilities (DCs) prompt firm performance. This study proposes that BDA-enabled DCs lead firms toward simultaneous exploration and exploitation of new knowledge about markets and products (i.e. marketing ambidexterity) which in turn improves firms' market and financial performance. This study also examines if environmental dynamism strengthens the aforementioned relationship.Design/methodology/approachThis study uses survey questionnaire and data were collected in the form of two heterogeneous samples from Turkey and Pakistan. Partial least square-structural equation modeling (PLS-SEM) was used to test the hypotheses.FindingsResults reveal that BDA-enabled DCs positively affect both dimensions of marketing ambidexterity (exploration and exploitation). Marketing exploration and exploitation have positive effects on firms' market and financial performance. Results also demonstrate that environmental dynamism moderates the link between BDA-enabled DCs and firms' marketing exploitation. The moderating effect for BDA-enabled DCs and firms' marketing exploration was not consistent across both samples.Research limitations/implicationsThis study contributes to the literature of BDA and marketing ambidexterity in the light of DC theory in a way that when and how the marketing ambidexterity, derived from BDA-enabled DCs, has a positive impact on firm performance. Moreover, findings imply that the development and enhancement of BDA-enabled DCs facilitate firms to calibrate marketing exploitation and exploration to seek new knowledge about markets and products and using such knowledge to achieve superior performance.Originality/valueThe novelty of present study is development of dynamic capabilities-based framework which sheds light on the role of big data for sensing, seizing and (re)configuring firms' resources to develop marketing ambidextrous capabilities in order to stay successful. From methodological perspective, this study uses two heterogeneous samples to assess robustness of results for ensuring greater generalizability and theoretical resonance.
Purpose:
The purpose of this study is to understand how the level of readiness for artificial in... more Purpose: The purpose of this study is to understand how the level of readiness for artificial intelligence (AI) affects the overall performance of companies, determine the role of organizational flexibility in adapting to new technologies and business models and assess the importance of lean sustainability and value creation for technology-focused companies.
Design/methodology/approach: Technology companies working in technoparks in Istanbul were determined, and a questionnaire was applied to senior employees such as experts, engineers and managers working in these companies. The results were processed with a sample of 456 units. SmartPLS program was used for analysis.
Findings: As a result of the analyzes, it is supported by hypotheses that AI readiness and organizational flexibility have positive effects on lean sustainability and value creation.
Research limitations/implications: When evaluated in terms of the limitations of the research, it would not be correct to evaluate the results of the analysis in general, since the data were collected from technology-focused companies in technoparks in Istanbul.
Practical implications: Examining the variables that make up the research model in technology-oriented companies helps to understand the critical factors for the future success of companies. At the same time, this research is important for companies to make more informed decisions in their strategic planning, technological transformation processes and value creation strategies.
Originality/value: This research topic offers a unique approach in terms of bringing together topics such as AI readiness, organizational flexibility, sustainability and value creation. These issues play an important role in the strategic planning of technology-focused companies, and when considered together, they are important in terms of examining the critical factors that affect the future success of companies.
Purpose:
The research paper’s purpose is to contribute to the literature by analysing the essent... more Purpose: The research paper’s purpose is to contribute to the literature by analysing the essential resources and processes required for successful commercialisation, the contemporary challenges and opportunities of artificial intelligence initiatives in Türkiye, and the diverse models and methods employed by these initiatives.
Design/methodology/approach: Within the scope of the research, interviews were conducted with 10 entrepreneurs who established artificial intelligence-oriented enterprises in technoparks in Istanbul and Antalya. All 10 interviews were analysed using the MAXQDA20 software tool. Structured qualitative content analysis was used for the data analysis procedure.
Findings: Based on the research, external factors have a significant impact on the future growth opportunities of the market. Expanding the client base, gaining international recognition, and securing financing are crucial for success. However, the findings reveal challenges in the relatively young local ecosystem. One major criticism is the lack of support in marketing and sales activities for refined products. To address this, providing financial incentives and knowledge transfer to those in need is vital.
Research limitations/implications: Since the research was conducted only with entrepreneurs who established and successfully commercialised artificial intelligence-oriented enterprises, it is recommended that future studies be performed with a widespread sample group, considering this limited situation. Furthermore, to overcome survivorship bias, it is recommended that posterior studies include failed commercialisation attempts in AI ventures.
Practical implications: It can be argued that there is no deliberate approach or model for commercialization. Entrepreneurs often draw from their own prior experiences or observe industry trends. Given the limited financial resources available in the domestic market and the challenge of attracting foreign investors to Turkish brands, entrepreneurs tend to rely on internal approaches for commercialisation.
Originality/value: This research delves into the commercialisation prospects and obstacles encountered by AI start-ups in Türkiye. It comprises qualitative insights into business models, commercialisation approaches, opportunities, and challenges. The data were obtained from interviews with entrepreneurs operating in the industry.
Journal of advances in management research, Jun 20, 2024
Purpose: The main purpose of examining innovation development (ID), technology management (TM) an... more Purpose: The main purpose of examining innovation development (ID), technology management (TM) and big data analytics capability (BDAC) from the perspective of information technology companies is to help these companies optimize their business strategies and increase their competitiveness. When these concepts are considered together, it is aimed to present suggestions that information technology companies can increase their innovation capacities, optimize their technology portfolios and develop their big data analytics capacities. Design/methodology/approach: Data were collected from information technology companies working on big data analytics in technoparks in Istanbul. In the research, the Marmara region of Turkey was preferred because it is the region where the information technology sector is most common. In total, 503 questionnaires were collected. SmartPLS (4.0.8.4) licensed software was used in the research, and the results are presented with tables and figures. Findings: As a result of the analysis of the data, it is supported by hypotheses that ID and TM have positive effects as independent variables and BDAC has positive effects as both independent and mediation variables. Research limitations/implications: In terms of the limitations of the research, since the data were collected only from the information technology companies in the technoparks in Istanbul, it would not be correct to generalize the analysis results. For this reason, it is recommended to develop a research model and contribute to the literature by considering this limited situation for similar studies to be conducted in the future. Practical implications: By focusing on ID, it is important for companies to analyze their innovation processes and increase their ID capacity. On the subject of TM, analyses help companies identify their current technological infrastructure and development needs and optimize their technology portfolios. Big data analytics is an important tool that companies can use in their decision-making processes. Therefore, analyses of big data analytics can evaluate companies' current data analytics capacities and offer improvement suggestions. Originality/value: So why are ID, TM and BDAC important? Why should a research model be developed to examine the effects of these variables? This situation can be understood by looking at the investments made by two world-class companies with headquarters in Istanbul/Turkey. L'Oréal Turkey integrates big data, cloud computing, artificial intelligence and digital platforms into its business processes by investing in new technologies and also makes a difference with innovation in environmental sustainability and social responsibility. PepsiCo, on the other hand, placed a great emphasis on innovation by opening its third Design and Innovation Center in Turkey and Europe in Istanbul. For this reason, examining the effects of ID, TM and big data analytics together in the research is important for the originality of the research. Examining these variables by focusing on their interactions and effects increases the originality of the subject.
Purpose: In today’s economic conditions, businesses face great challenges related to competitiven... more Purpose: In today’s economic conditions, businesses face great challenges related to competitiveness. The effort to respond flexibly to the changing business environment and customers’ demands constantly puts pressure on innovation. For this reason, research purpose to examine the effects of learning capabilities and market orientation in logistics companies during the pandemic. Design/methodology/approach: In this research, a quantitative method was adopted and partial least squares structural equation modeling (PLS-SEM) was applied. The research is based on four variables. A conceptual research model was established through literature review and the model was tested. Within the scope of this research, A sample of 544 participants was taken to construct and test the model, and a 39-statement scale was presented to them. After presenting the reliability and validity values on the model, hypotheses were tested. Analyses were conducted using Smart-PLS 3.3 software. Findings: As a result of the research conducted in logistics companies, the positive effects of learning orientation on performance outputs and the positive effects of market orientation as both a mediator and an independent variable show that these concepts are important for company management. Research limitations/implications: Considering the limitations of the research, it would be wrong to generalize the results of the analysis for different sectors because the data were collected from experts working in logistics companies. Therefore, it is necessary to make evaluations taking into account the limitations of the research. In future studies, it is recommended to make comparisons with research in different sectors, taking into account the limitations, and to enrich the literature with more research in this area. Practical implications: Because of the importance of logistics activities seen in all countries with the pandemic period, it can be explained as a result of the analyses that the performance outputs are positively affected by the learning orientation, the companies’ adaptation to continuous change and development and their emphasis on market orientation at the same time. Originality/value: The research is an original study as it analyzes the effects of learning orientations of logistics companies on the problems and opportunities experienced in the supply and distribution channel along with the pandemic process.
Logistics companies played a vital role in the supply and distribution of products in a timely an... more Logistics companies played a vital role in the supply and distribution of products in a timely and effective manner during the COVID-19 pandemic. The research sought to know how financial authorities in these companies managed the financial process and how they approached resolving issues due to the economic and financial problems experienced during the COVID-19 pandemic. Using data from 30 experts from the accounting-finance departments of logistics companies, we found that the COVID-19 pandemic caused a decrease in revenues of the logistics companies in Turkey and increased demands for loan payments before their maturity date. According to this study, the most important factors affecting logistics companies during this health crisis were unpredictable changes in exchange rates, currency depreciation (Turkish lira), and increased rental fees. Through this research, we learned how the economic and financial problems experienced by logistics companies were managed by financial experts during the COVID-19 pandemic.
Business ethics is a scientific discipline that analyzes and explains norms and values that guide... more Business ethics is a scientific discipline that analyzes and explains norms and values that guide the business world. When the books and academic researches about business ethics are examined, it is understood that interest in business ethics has started to increase. Among the most important reasons for business interest, ethics is the impact of economic development and globalization. The story of the economy and the adaptation to the global market with each passing day has brought unethical practices to the agenda. It is considered that models that improve the decision-making mechanisms of managers against corrupt practices are deemed necessary. In the study, many studies have been cited as references to explain business ethics' individual and organizational factors. It aims to contribute to the literature with the results and results of the academic research conducted on these models.
To provide a better and happier society, the framework of certain principles and the history of t... more To provide a better and happier society, the framework of certain principles and the history of the concept of ethics aims to direct the people's behaviours constituting that society. The first known philosophers discussed the concept of ethics at that time. The continuation of discussions about ethics to the present day shows that the importance of the image in human life has never changed and has not lost its actuality. In fact, it isn't easy to show a specific and bordered area of business ethics. In this case, it is possible to narrow the definition of business ethics by excluding some important elements or extending it to a wide area that is completely encompassing. In this study, the historical importance of business ethics and human resources are evaluated.
The international journal of organizational analysis, Sep 26, 2023
Purpose The purpose of this paper is to analyze the relationship of the organization and whether ... more Purpose The purpose of this paper is to analyze the relationship of the organization and whether employees in the companies operating in the textile sector receive leadership support when they experience depression. Design/methodology/approach Data were obtained from personnel working in textile companies in organized industrial zones located within five provinces: Istanbul, Ankara, Bursa, Izmir and Antalya (defined as industrial cities of Turkey). The reason for choosing these companies was related to the question of whether the mental state of the personnel may have had an impact on the success of the company, especially as the textile industry works with more manpower and knowledge due to the nature of the job. The moderation relationship of leadership support to the relationship of this situation on organizational culture and organizational commitment was analyzed using the SmartPLS program. Findings As a result of the analyzes, it was determined that the depression of the employees weakens the organizational commitment, thereby leading to a negative relationship within the organizational culture. But, with leadership support, the organizational commitment increases and the organizational culture is positively affected. Research limitations/implications As the research was conducted in companies in the textile sector in Istanbul, this limitation should be taken into account in future research. In addition, as data is collected from white-collar employees in the administrative staff position (the sample group), this situation should also be taken into account. Considering the questions asked in the questionnaire, it is recommended that future research be conducted on blue-collar workers. Practical implications It can be concluded that the leadership role is an important factor for organizations to prevent employees from being depressed and employees should receive positive support to ensure organizational commitment. At the same time, it can be concluded that the organizational culture is positively affected if the depression of the employees has decreased. Originality/value The research is an original study in terms of investigating the relationship of depression status to the leadership support of employees working in textile companies in an environment where competition is consistently intense.
The appearance and versatile structure of digital commerce (e-business) is increasing its importa... more The appearance and versatile structure of digital commerce (e-business) is increasing its importance day by day. Digital human resources management forms the basis for this increasing importance in various digital applications that transform today's businesses, such as accounting, marketing, production management and general business management. Artificial intelligence (AI) technologies are beginning to be used for their profound impact on labor and employment dynamics, with potential for both job displacement and job creation. The impact of computerized automation on unemployment rates and the emergence of new professions supported by artificial intelligence-driven productivity gains are being carefully followed in all sectors. Overall, valuable information is addressed regarding the evolving pipeline of digital businesses and their intersection with artificial intelligence technologies in reshaping employment paradigms and organizational strategies.
Purpose: The main purpose of examining innovation development (ID), technology management (TM) a... more Purpose: The main purpose of examining innovation development (ID), technology management (TM) and big data analytics capability (BDAC) from the perspective of information technology companies is to help these companies optimize their business strategies and increase their competitiveness. When these concepts are considered together, it is aimed to present suggestions that information technology companies can increase their innovation capacities, optimize their technology portfolios and develop their big data analytics capacities.
Design/methodology/approach: Data were collected from information technology companies working on big data analytics in technoparks in Istanbul. In the research, the Marmara region of Turkey was preferred because it is the region where the information technology sector is most common. In total, 503 questionnaires were collected. SmartPLS (4.0.8.4) licensed software was used in the research, and the results are presented with tables and figures.
Findings: As a result of the analysis of the data, it is supported by hypotheses that ID and TM have positive effects as independent variables and BDAC has positive effects as both independent and mediation variables.
Research limitations/implications: In terms of the limitations of the research, since the data were collected only from the information technology companies in the technoparks in Istanbul, it would not be correct to generalize the analysis results. For this reason, it is recommended to develop a research model and contribute to the literature by considering this limited situation for similar studies to be conducted in the future.
Practical implications: By focusing on ID, it is important for companies to analyze their innovation processes and increase their ID capacity. On the subject of TM, analyses help companies identify their current technological infrastructure and development needs and optimize their technology portfolios. Big data analytics is an important tool that companies can use in their decision-making processes. Therefore, analyses of big data analytics can evaluate companies' current data analytics capacities and offer improvement suggestions.
Originality/value: So why are ID, TM and BDAC important? Why should a research model be developed to examine the effects of these variables? This situation can be understood by looking at the investments made by two world-class companies with headquarters in Istanbul/Turkey. L'Oréal Turkey integrates big data, cloud computing, artificial intelligence and digital platforms into its business processes by investing in new technologies and also makes a difference with innovation in environmental sustainability and social responsibility. PepsiCo, on the other hand, placed a great emphasis on innovation by opening its third Design and Innovation Center in Turkey and Europe in Istanbul. For this reason, examining the effects of ID, TM and big data analytics together in the research is important for the originality of the research. Examining these variables by focusing on their interactions and effects increases the originality of the subject.
Purpose:
The research purpose is to investigate the impact of green entrepreneurial orientation ... more Purpose: The research purpose is to investigate the impact of green entrepreneurial orientation (GEO) on operational performance (OP) in renewable energy companies, with a particular focus on the mediating roles of green innovation strategy (GIS) and green innovation culture (GIC).
Design/methodology/approach: Data were collected through interactive surveys with 338 middle and senior managers of renewable energy companies prioritizing sustainability. The relationships between variables were analyzed using SmartPLS and Jamovi software, which facilitates structural equation modeling.
Findings: The analysis revealed that GEO had a significant positive impact on both GIS and GIC, followed by OP. It is supported by the hypotheses that mediating variables GIS and GIC positively influence OP, and their important role in transforming entrepreneurial efforts into operational success is confirmed.
Research limitations/implications: The research is limited to renewable energy companies and findings may not be generalizable to other sectors. Future research could expand the scope to include different industries and geographic contexts. Additionally, dimensional research studies can provide deeper insights into the long-term effects of GEO, GIS and GIC on OP.
Practical implications: The findings suggest that renewable energy companies should encourage a strong entrepreneurial orientation towards green practices. Emphasizing innovation strategies and developing a green culture within organizations can lead to improved OP, supporting overall sustainability goals.
Originality/value: The research provides a comprehensive framework for understanding the drivers of OP in the renewable energy sector, providing a new perspective by combining GEO with innovation strategies and cultural elements. The originality of the research lies in the application of these concepts to an industry where sustainability is very important.
Purpose: The purpose of the research is to examine the effects of technology orientation (TO) on ... more Purpose: The purpose of the research is to examine the effects of technology orientation (TO) on information technology companies, not as a dimension of strategic orientation (SO), but as an independent variable and together with technology innovation strategy (TIS).
Design/methodology/approach: In the research, technoparks operating in the province of Istanbul were determined as the main population. The questionnaire used was applied to the participants working in senior and middle management positions in the companies in these technoparks. Questionnaires were sent via e-mail to the participants (by random sampling method) after obtaining the necessary permissions. In total, the data of 665 participants were included in the analysis. SmartPLS program was used for analysis.
Findings: Asaresultoftheanalysis, it is supported by hypotheses that TO, TIS and SO havepositiveeffects onperformance variables.
Research limitations/implications: However, when looking at the situation that researchers should consider in terms of the limitations of the research, the data were collected only from information technology companies located in technoparks in Istanbul. Therefore, it may not be correct to make a general judgment.
Practical implications: Because future technology investments among information technology companies are important, it can be argued according to the results of the analysis that TO and technology innovation strategies are important in terms of gaining competitive advantage. At the same time, it is supported by hypotheses that SO is important to be successful in the field of technology against competitors.
Social implications: The research emphasizes how companies that are proactive in adopting and integrating new technologies can achieve superior performance results. A detailed perspective is presented on how companies can benefit from SO to maximize the return they receive from their technological investments. Additionally, focusing on technoparks as unique environments that facilitate the integration of industrial and technological resources, the research emphasizes the importance of such ecosystems in promoting innovation and economic development.
Originality/value: The research is important research that will contribute to the literature in terms of collecting and examining data from information technology companies in technoparks and examining the effects of TOandTISofinformation technology companies in technoparks.
International Journal of Quality & Reliability Management, 2025
Purpose: The research examines the impact of creativity-oriented human resources management (HRM)... more Purpose: The research examines the impact of creativity-oriented human resources management (HRM) and quality management (QM) on firm performance, social sustainability and environmental performance, focusing on the mediating role of commercialization.
Design/methodology/approach: Data were collected from 527 experts based in Istanbul with at least 5 years of experience in the information technologies (IT) sector. The sample includes a demographic distribution according to age ranges and educational qualifications. Using a survey containing 47 scales, confirmatory factor analysis (CFA) and structural equation modeling (SEM) analyzes were conducted through Jamovi 2.3.28.
Findings: The results show that both creativity-oriented HRM and QM positively affect commercialization. In addition, commercialization positively affects firm performance, social sustainability and environmental performance, thus establishing a mediating role in the relationship between management practices and performance results.
Research limitations/implications: The research is limited to the IT sector in Istanbul, Turkey, and may not be generalizable to other regions or sectors. Future research may expand geographic and sectoral coverage to confirm and extend these findings.
Practical implications: Companies can leverage creative HRM and QM strategies not only to increase commercialization efforts but also to achieve superior firm performance, social sustainability and environmental outcomes. This highlights the strategic role of HR and quality initiatives in driving overall business success.
Social implications: In the research, it is stated that creativity-oriented HR is important to promote human capital as an important driver of performance improvement, supported by the resource-based view (RBV) theory. Also, by supporting the dynamic capabilities theory, by promoting quality and creativity, innovations can be better commercialized and both performance outcomes and sustainability results can be positively affected.
Originality/value: This research provides new insights into the mediating effects of commercialization between internal management practices and broad performance measures in the IT sector. It underlines the importance of promoting innovative HR and quality practices to achieve sustainable business performance.
International Journal of Productivity and Performance Management, 2025
Purpose:
In order to make a difference in a globally competitive environment, companies should a... more Purpose: In order to make a difference in a globally competitive environment, companies should analyze their competitors, which is one of the factors around them, well, do research, observe the environment and know how to adapt. For this purpose, the research examines the effects of competitive intensity and marketing and sales capabilities, together with the global capabilities of logistics companies operating internationally (third-party logistics companies (3PL)), which are examined.
Design/methodology/approach: To establish and test the model, a sample of 504 participants working at senior levels in internationally operating logistics companies (third-party logistics companies (3PL)) with their headquarters in Istanbul was taken and a scale consisting of a total of 32 statements was presented to them. Analyses were performed using Jamovi and SmartPLS 3.3.5. This program was used because, in addition to estimating path models with latent variables, it also calculated standard results evaluation criteria. First, the results of factor analysis are given. After these analyses were completed, the hypotheses were tested.
Findings: This research is supported by hypotheses as a result of the analysis that global capabilities are an important factor for logistics companies at the international level, and that the competitive intensity also affects the performance outputs and that marketing and sales capabilities also have an impact.
Research limitations/implications: Since data are collected from logistics companies operating globally, it is necessary to pay attention when the analysis results are compared with different sectors. Because the intensity of competition may vary depending on the sector and market in which companies operate. At the same time, the data were collected from authorized white-collar employees working at a senior level in logistics companies. Because, in terms of the level of being able to answer the questions about the variables examined in the research model, data were collected from high-level officials.
Practical implications: It is getting harder and harder to compete on a global scale by going beyond national borders. The results of the analysis show how important the global capabilities of logistics companies are, especially the increasing importance of logistics activities for countries. For this reason, logistics companies operating on an international scale need to attach importance to the competitive intensity and develop their marketing and sales capabilities.
Originality/value: The research is original in that it examines the global capabilities of logistics companies in their international activities and the effects of competition intensity. In addition, it is important for companies in this sector to examine the effects of marketing and sales capabilities so that logistics companies can reach more customers in their international activities and be more effective in the market compared to their competitors.
Navigating Organizational Behavior in the Digital Age With AI, 2025
The intersection of entrepreneurship, digital technologies, and artificial intelligence (AI) is s... more The intersection of entrepreneurship, digital technologies, and artificial intelligence (AI) is shaping the modern business landscape and future economic opportunities. It is important to examine entrepreneurial behavior patterns and entrepreneurial intent, the motivations, attitudes, and actions of contemporary entrepreneurs in terms of digital technology and AI. In the context of Industry 4.0, digitalization presents both challenges and opportunities, encouraging businesses to adapt to advanced technologies such as AI and automation while contributing to sustainable development goals. The chapter examines the evolving digital entrepreneurship ecosystem, emphasizing the role of infrastructures, policies, and funding that support innovation. The future of AI is assessed, discussing technological advances and the societal challenges that need to be addressed to ensure that AI serves as a force for sustainable growth and positive societal impact.
Considering the critical intersection of entrepreneurship, competitiveness and digital transforma... more Considering the critical intersection of entrepreneurship, competitiveness and digital transformation in the age of Artificial Intelligence (AI), the drivers of economic growth and social progress and the transformative power of digitalization for firms become even more important. In particular, it is necessary to consider how digital entrepreneurship is reshaping industries and providing new opportunities for innovation and value creation. The theoretical framework for the adoption of AI and insights into organizational characteristics are presented, and the importance of AI in enhancing firms' competitive advantage is becoming increasingly evident.Therefore, in this chapter, AI applications in industries that demonstrate the significant impact of AI on decision- making processes and future business strategies are explained, and AI is examined as an important element in shaping the strategic direction and sustainability of companies in an increasingly competitive global market.
Journal of Economic and Administrative Sciences, 2024
Purpose:
The purpose of the study is to examine the effects of innovative working behavior and l... more Purpose: The purpose of the study is to examine the effects of innovative working behavior and leader support of employees in marketing and advertising companies, one of the sectors where creative ideas and innovative thoughts are common.
Design/methodology/approach: Within the scope of the research, a questionnaire was applied to 443 authorized employees working in marketing and advertising companies headquartered in Istanbul in order to examine innovative work behavior and leader support. The collected data were analyzed using the SmartPLS 3.3.9 package program.
Findings: As a result of the analysis of the collected data, it is supported by hypotheses that innovative work behavior and leadership support have positive effects on employees.
Research limitations/implications: It is not possible to make generalizations because a questionnaire was administered to 443 authorized employees working in marketing and advertising companies whose research centers are located in Istanbul. However, it should be taken into account as a source to provide a basic idea for future research.
Practical implications: As a result of the analysis of the data collected from the marketing and advertising sectors, where creativity and innovation are common, it can be explained that innovative work behavior has positive effects, and that the positive effects continue with the effect of leader support on innovative work behaviors.
Originality/value: The research is original since it is carried out in marketing and advertising companies where traditional activities are not accepted, constantly innovative ideas and thoughts are stated and innovative behavior of employees is important in terms of raising awareness.
PurposeDrawing from dynamic capability (DC) theory, this study aims to investigate how big data a... more PurposeDrawing from dynamic capability (DC) theory, this study aims to investigate how big data analytics (BDA)-enabled dynamic capabilities (DCs) prompt firm performance. This study proposes that BDA-enabled DCs lead firms toward simultaneous exploration and exploitation of new knowledge about markets and products (i.e. marketing ambidexterity) which in turn improves firms' market and financial performance. This study also examines if environmental dynamism strengthens the aforementioned relationship.Design/methodology/approachThis study uses survey questionnaire and data were collected in the form of two heterogeneous samples from Turkey and Pakistan. Partial least square-structural equation modeling (PLS-SEM) was used to test the hypotheses.FindingsResults reveal that BDA-enabled DCs positively affect both dimensions of marketing ambidexterity (exploration and exploitation). Marketing exploration and exploitation have positive effects on firms' market and financial performance. Results also demonstrate that environmental dynamism moderates the link between BDA-enabled DCs and firms' marketing exploitation. The moderating effect for BDA-enabled DCs and firms' marketing exploration was not consistent across both samples.Research limitations/implicationsThis study contributes to the literature of BDA and marketing ambidexterity in the light of DC theory in a way that when and how the marketing ambidexterity, derived from BDA-enabled DCs, has a positive impact on firm performance. Moreover, findings imply that the development and enhancement of BDA-enabled DCs facilitate firms to calibrate marketing exploitation and exploration to seek new knowledge about markets and products and using such knowledge to achieve superior performance.Originality/valueThe novelty of present study is development of dynamic capabilities-based framework which sheds light on the role of big data for sensing, seizing and (re)configuring firms' resources to develop marketing ambidextrous capabilities in order to stay successful. From methodological perspective, this study uses two heterogeneous samples to assess robustness of results for ensuring greater generalizability and theoretical resonance.
Purpose:
The purpose of this study is to understand how the level of readiness for artificial in... more Purpose: The purpose of this study is to understand how the level of readiness for artificial intelligence (AI) affects the overall performance of companies, determine the role of organizational flexibility in adapting to new technologies and business models and assess the importance of lean sustainability and value creation for technology-focused companies.
Design/methodology/approach: Technology companies working in technoparks in Istanbul were determined, and a questionnaire was applied to senior employees such as experts, engineers and managers working in these companies. The results were processed with a sample of 456 units. SmartPLS program was used for analysis.
Findings: As a result of the analyzes, it is supported by hypotheses that AI readiness and organizational flexibility have positive effects on lean sustainability and value creation.
Research limitations/implications: When evaluated in terms of the limitations of the research, it would not be correct to evaluate the results of the analysis in general, since the data were collected from technology-focused companies in technoparks in Istanbul.
Practical implications: Examining the variables that make up the research model in technology-oriented companies helps to understand the critical factors for the future success of companies. At the same time, this research is important for companies to make more informed decisions in their strategic planning, technological transformation processes and value creation strategies.
Originality/value: This research topic offers a unique approach in terms of bringing together topics such as AI readiness, organizational flexibility, sustainability and value creation. These issues play an important role in the strategic planning of technology-focused companies, and when considered together, they are important in terms of examining the critical factors that affect the future success of companies.
Purpose:
The research paper’s purpose is to contribute to the literature by analysing the essent... more Purpose: The research paper’s purpose is to contribute to the literature by analysing the essential resources and processes required for successful commercialisation, the contemporary challenges and opportunities of artificial intelligence initiatives in Türkiye, and the diverse models and methods employed by these initiatives.
Design/methodology/approach: Within the scope of the research, interviews were conducted with 10 entrepreneurs who established artificial intelligence-oriented enterprises in technoparks in Istanbul and Antalya. All 10 interviews were analysed using the MAXQDA20 software tool. Structured qualitative content analysis was used for the data analysis procedure.
Findings: Based on the research, external factors have a significant impact on the future growth opportunities of the market. Expanding the client base, gaining international recognition, and securing financing are crucial for success. However, the findings reveal challenges in the relatively young local ecosystem. One major criticism is the lack of support in marketing and sales activities for refined products. To address this, providing financial incentives and knowledge transfer to those in need is vital.
Research limitations/implications: Since the research was conducted only with entrepreneurs who established and successfully commercialised artificial intelligence-oriented enterprises, it is recommended that future studies be performed with a widespread sample group, considering this limited situation. Furthermore, to overcome survivorship bias, it is recommended that posterior studies include failed commercialisation attempts in AI ventures.
Practical implications: It can be argued that there is no deliberate approach or model for commercialization. Entrepreneurs often draw from their own prior experiences or observe industry trends. Given the limited financial resources available in the domestic market and the challenge of attracting foreign investors to Turkish brands, entrepreneurs tend to rely on internal approaches for commercialisation.
Originality/value: This research delves into the commercialisation prospects and obstacles encountered by AI start-ups in Türkiye. It comprises qualitative insights into business models, commercialisation approaches, opportunities, and challenges. The data were obtained from interviews with entrepreneurs operating in the industry.
Journal of advances in management research, Jun 20, 2024
Purpose: The main purpose of examining innovation development (ID), technology management (TM) an... more Purpose: The main purpose of examining innovation development (ID), technology management (TM) and big data analytics capability (BDAC) from the perspective of information technology companies is to help these companies optimize their business strategies and increase their competitiveness. When these concepts are considered together, it is aimed to present suggestions that information technology companies can increase their innovation capacities, optimize their technology portfolios and develop their big data analytics capacities. Design/methodology/approach: Data were collected from information technology companies working on big data analytics in technoparks in Istanbul. In the research, the Marmara region of Turkey was preferred because it is the region where the information technology sector is most common. In total, 503 questionnaires were collected. SmartPLS (4.0.8.4) licensed software was used in the research, and the results are presented with tables and figures. Findings: As a result of the analysis of the data, it is supported by hypotheses that ID and TM have positive effects as independent variables and BDAC has positive effects as both independent and mediation variables. Research limitations/implications: In terms of the limitations of the research, since the data were collected only from the information technology companies in the technoparks in Istanbul, it would not be correct to generalize the analysis results. For this reason, it is recommended to develop a research model and contribute to the literature by considering this limited situation for similar studies to be conducted in the future. Practical implications: By focusing on ID, it is important for companies to analyze their innovation processes and increase their ID capacity. On the subject of TM, analyses help companies identify their current technological infrastructure and development needs and optimize their technology portfolios. Big data analytics is an important tool that companies can use in their decision-making processes. Therefore, analyses of big data analytics can evaluate companies' current data analytics capacities and offer improvement suggestions. Originality/value: So why are ID, TM and BDAC important? Why should a research model be developed to examine the effects of these variables? This situation can be understood by looking at the investments made by two world-class companies with headquarters in Istanbul/Turkey. L'Oréal Turkey integrates big data, cloud computing, artificial intelligence and digital platforms into its business processes by investing in new technologies and also makes a difference with innovation in environmental sustainability and social responsibility. PepsiCo, on the other hand, placed a great emphasis on innovation by opening its third Design and Innovation Center in Turkey and Europe in Istanbul. For this reason, examining the effects of ID, TM and big data analytics together in the research is important for the originality of the research. Examining these variables by focusing on their interactions and effects increases the originality of the subject.
Purpose: In today’s economic conditions, businesses face great challenges related to competitiven... more Purpose: In today’s economic conditions, businesses face great challenges related to competitiveness. The effort to respond flexibly to the changing business environment and customers’ demands constantly puts pressure on innovation. For this reason, research purpose to examine the effects of learning capabilities and market orientation in logistics companies during the pandemic. Design/methodology/approach: In this research, a quantitative method was adopted and partial least squares structural equation modeling (PLS-SEM) was applied. The research is based on four variables. A conceptual research model was established through literature review and the model was tested. Within the scope of this research, A sample of 544 participants was taken to construct and test the model, and a 39-statement scale was presented to them. After presenting the reliability and validity values on the model, hypotheses were tested. Analyses were conducted using Smart-PLS 3.3 software. Findings: As a result of the research conducted in logistics companies, the positive effects of learning orientation on performance outputs and the positive effects of market orientation as both a mediator and an independent variable show that these concepts are important for company management. Research limitations/implications: Considering the limitations of the research, it would be wrong to generalize the results of the analysis for different sectors because the data were collected from experts working in logistics companies. Therefore, it is necessary to make evaluations taking into account the limitations of the research. In future studies, it is recommended to make comparisons with research in different sectors, taking into account the limitations, and to enrich the literature with more research in this area. Practical implications: Because of the importance of logistics activities seen in all countries with the pandemic period, it can be explained as a result of the analyses that the performance outputs are positively affected by the learning orientation, the companies’ adaptation to continuous change and development and their emphasis on market orientation at the same time. Originality/value: The research is an original study as it analyzes the effects of learning orientations of logistics companies on the problems and opportunities experienced in the supply and distribution channel along with the pandemic process.
Logistics companies played a vital role in the supply and distribution of products in a timely an... more Logistics companies played a vital role in the supply and distribution of products in a timely and effective manner during the COVID-19 pandemic. The research sought to know how financial authorities in these companies managed the financial process and how they approached resolving issues due to the economic and financial problems experienced during the COVID-19 pandemic. Using data from 30 experts from the accounting-finance departments of logistics companies, we found that the COVID-19 pandemic caused a decrease in revenues of the logistics companies in Turkey and increased demands for loan payments before their maturity date. According to this study, the most important factors affecting logistics companies during this health crisis were unpredictable changes in exchange rates, currency depreciation (Turkish lira), and increased rental fees. Through this research, we learned how the economic and financial problems experienced by logistics companies were managed by financial experts during the COVID-19 pandemic.
Business ethics is a scientific discipline that analyzes and explains norms and values that guide... more Business ethics is a scientific discipline that analyzes and explains norms and values that guide the business world. When the books and academic researches about business ethics are examined, it is understood that interest in business ethics has started to increase. Among the most important reasons for business interest, ethics is the impact of economic development and globalization. The story of the economy and the adaptation to the global market with each passing day has brought unethical practices to the agenda. It is considered that models that improve the decision-making mechanisms of managers against corrupt practices are deemed necessary. In the study, many studies have been cited as references to explain business ethics' individual and organizational factors. It aims to contribute to the literature with the results and results of the academic research conducted on these models.
To provide a better and happier society, the framework of certain principles and the history of t... more To provide a better and happier society, the framework of certain principles and the history of the concept of ethics aims to direct the people's behaviours constituting that society. The first known philosophers discussed the concept of ethics at that time. The continuation of discussions about ethics to the present day shows that the importance of the image in human life has never changed and has not lost its actuality. In fact, it isn't easy to show a specific and bordered area of business ethics. In this case, it is possible to narrow the definition of business ethics by excluding some important elements or extending it to a wide area that is completely encompassing. In this study, the historical importance of business ethics and human resources are evaluated.
The international journal of organizational analysis, Sep 26, 2023
Purpose The purpose of this paper is to analyze the relationship of the organization and whether ... more Purpose The purpose of this paper is to analyze the relationship of the organization and whether employees in the companies operating in the textile sector receive leadership support when they experience depression. Design/methodology/approach Data were obtained from personnel working in textile companies in organized industrial zones located within five provinces: Istanbul, Ankara, Bursa, Izmir and Antalya (defined as industrial cities of Turkey). The reason for choosing these companies was related to the question of whether the mental state of the personnel may have had an impact on the success of the company, especially as the textile industry works with more manpower and knowledge due to the nature of the job. The moderation relationship of leadership support to the relationship of this situation on organizational culture and organizational commitment was analyzed using the SmartPLS program. Findings As a result of the analyzes, it was determined that the depression of the employees weakens the organizational commitment, thereby leading to a negative relationship within the organizational culture. But, with leadership support, the organizational commitment increases and the organizational culture is positively affected. Research limitations/implications As the research was conducted in companies in the textile sector in Istanbul, this limitation should be taken into account in future research. In addition, as data is collected from white-collar employees in the administrative staff position (the sample group), this situation should also be taken into account. Considering the questions asked in the questionnaire, it is recommended that future research be conducted on blue-collar workers. Practical implications It can be concluded that the leadership role is an important factor for organizations to prevent employees from being depressed and employees should receive positive support to ensure organizational commitment. At the same time, it can be concluded that the organizational culture is positively affected if the depression of the employees has decreased. Originality/value The research is an original study in terms of investigating the relationship of depression status to the leadership support of employees working in textile companies in an environment where competition is consistently intense.
The appearance and versatile structure of digital commerce (e-business) is increasing its importa... more The appearance and versatile structure of digital commerce (e-business) is increasing its importance day by day. Digital human resources management forms the basis for this increasing importance in various digital applications that transform today's businesses, such as accounting, marketing, production management and general business management. Artificial intelligence (AI) technologies are beginning to be used for their profound impact on labor and employment dynamics, with potential for both job displacement and job creation. The impact of computerized automation on unemployment rates and the emergence of new professions supported by artificial intelligence-driven productivity gains are being carefully followed in all sectors. Overall, valuable information is addressed regarding the evolving pipeline of digital businesses and their intersection with artificial intelligence technologies in reshaping employment paradigms and organizational strategies.
Purpose: The main purpose of examining innovation development (ID), technology management (TM) a... more Purpose: The main purpose of examining innovation development (ID), technology management (TM) and big data analytics capability (BDAC) from the perspective of information technology companies is to help these companies optimize their business strategies and increase their competitiveness. When these concepts are considered together, it is aimed to present suggestions that information technology companies can increase their innovation capacities, optimize their technology portfolios and develop their big data analytics capacities.
Design/methodology/approach: Data were collected from information technology companies working on big data analytics in technoparks in Istanbul. In the research, the Marmara region of Turkey was preferred because it is the region where the information technology sector is most common. In total, 503 questionnaires were collected. SmartPLS (4.0.8.4) licensed software was used in the research, and the results are presented with tables and figures.
Findings: As a result of the analysis of the data, it is supported by hypotheses that ID and TM have positive effects as independent variables and BDAC has positive effects as both independent and mediation variables.
Research limitations/implications: In terms of the limitations of the research, since the data were collected only from the information technology companies in the technoparks in Istanbul, it would not be correct to generalize the analysis results. For this reason, it is recommended to develop a research model and contribute to the literature by considering this limited situation for similar studies to be conducted in the future.
Practical implications: By focusing on ID, it is important for companies to analyze their innovation processes and increase their ID capacity. On the subject of TM, analyses help companies identify their current technological infrastructure and development needs and optimize their technology portfolios. Big data analytics is an important tool that companies can use in their decision-making processes. Therefore, analyses of big data analytics can evaluate companies' current data analytics capacities and offer improvement suggestions.
Originality/value: So why are ID, TM and BDAC important? Why should a research model be developed to examine the effects of these variables? This situation can be understood by looking at the investments made by two world-class companies with headquarters in Istanbul/Turkey. L'Oréal Turkey integrates big data, cloud computing, artificial intelligence and digital platforms into its business processes by investing in new technologies and also makes a difference with innovation in environmental sustainability and social responsibility. PepsiCo, on the other hand, placed a great emphasis on innovation by opening its third Design and Innovation Center in Turkey and Europe in Istanbul. For this reason, examining the effects of ID, TM and big data analytics together in the research is important for the originality of the research. Examining these variables by focusing on their interactions and effects increases the originality of the subject.
Stakeholder management and competitive strategy concepts are very important for a company’s posit... more Stakeholder management and competitive strategy concepts are very important for a company’s position and its corporate structure and for understanding which sectors or customer groups have an effect on business, how the company can be successful and whether the company can respond to the demands and needs of stakeholders. In the traditional view, stakeholders include employees, shareholders, suppliers and customers; however, the society, nongovernmental organizations, governments and media also have a significant impact on business. Therefore, stakeholders have been examined as internal and external ones. To achieve sustainability for their business, companies should strategically analyze and evaluate the stakeholders, who are at the core of their activities and fulfill their necessary responsibilities. This study illustrates the performance results of the stakeholder management theory analyses and competitive strategy on globalization: (i) the stakeholders and competitive strategy of the companies suitable for their employees and management team’s expectations; (ii) determining how to meet the expectations of stakeholders; (iii) relations between stakeholders and business performance; and (iv) finally, relationships with stakeholders, the strategies for managing stakeholders, and the relationship between the business performance and stakeholders.
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Papers by Zafer ADIGUZEL
The research purpose is to investigate the impact of green entrepreneurial orientation (GEO) on operational performance (OP) in renewable energy companies, with a particular focus on the mediating roles of green innovation strategy (GIS) and green innovation culture (GIC).
Design/methodology/approach:
Data were collected through interactive surveys with 338 middle and senior managers of renewable energy companies prioritizing sustainability. The relationships between variables were analyzed using SmartPLS and Jamovi software, which facilitates structural equation modeling.
Findings:
The analysis revealed that GEO had a significant positive impact on both GIS and GIC, followed by OP. It is supported by the hypotheses that mediating variables GIS and GIC positively influence OP, and their important role in transforming entrepreneurial efforts into operational success is confirmed.
Research limitations/implications:
The research is limited to renewable energy companies and findings may not be generalizable to other sectors. Future research could expand the scope to include different industries and geographic contexts. Additionally, dimensional research studies can provide deeper insights into the long-term effects of GEO, GIS and GIC on OP.
Practical implications:
The findings suggest that renewable energy companies should encourage a strong entrepreneurial orientation towards green practices. Emphasizing innovation strategies and developing a green culture within organizations can lead to improved OP, supporting overall sustainability goals.
Originality/value:
The research provides a comprehensive framework for understanding the drivers of OP in the renewable energy sector, providing a new perspective by combining GEO with innovation strategies and cultural elements. The originality of the research lies in the application of these concepts to an industry where sustainability is very important.
Design/methodology/approach: In the research, technoparks operating in the province of Istanbul were determined as the main population. The questionnaire used was applied to the participants working in senior and middle management positions in the companies in these technoparks. Questionnaires were sent via e-mail to the participants (by random sampling method) after obtaining the necessary permissions. In total, the data of 665 participants were included in the analysis. SmartPLS program was used for analysis.
Findings: Asaresultoftheanalysis, it is supported by hypotheses that TO, TIS and SO havepositiveeffects onperformance variables.
Research limitations/implications: However, when looking at the situation that researchers should consider in terms of the limitations of the research, the data were collected only from information technology companies located in technoparks in Istanbul. Therefore, it may not be correct to make a general judgment.
Practical implications: Because future technology investments among information technology companies are important, it can be argued according to the results of the analysis that TO and technology innovation strategies are important in terms of gaining competitive advantage. At the same time, it is supported by hypotheses that SO is important to be successful in the field of technology against competitors.
Social implications: The research emphasizes how companies that are proactive in adopting and integrating new technologies can achieve superior performance results. A detailed perspective is presented on how companies can benefit from SO to maximize the return they receive from their technological investments. Additionally, focusing on technoparks as unique environments that facilitate the integration of industrial and technological resources, the research emphasizes the importance of such ecosystems in promoting innovation and economic development.
Originality/value: The research is important research that will contribute to the literature in terms of collecting and examining data from information technology companies in technoparks and examining the effects of TOandTISofinformation technology companies in technoparks.
Design/methodology/approach: Data were collected from 527 experts based in Istanbul with at least 5 years of experience in the information technologies (IT) sector. The sample includes a demographic distribution according to age ranges and educational qualifications. Using a survey containing 47 scales, confirmatory factor analysis (CFA) and structural equation modeling (SEM) analyzes were conducted through Jamovi 2.3.28.
Findings: The results show that both creativity-oriented HRM and QM positively affect commercialization. In addition, commercialization positively affects firm performance, social sustainability and environmental performance, thus establishing a mediating role in the relationship between management practices and performance results.
Research limitations/implications: The research is limited to the IT sector in Istanbul, Turkey, and may not be generalizable to other regions or sectors. Future research may expand geographic and sectoral coverage to confirm and extend these findings.
Practical implications: Companies can leverage creative HRM and QM strategies not only to increase commercialization efforts but also to achieve superior firm performance, social sustainability and environmental outcomes. This highlights the strategic role of HR and quality initiatives in driving overall business success.
Social implications: In the research, it is stated that creativity-oriented HR is important to promote human capital as an important driver of performance improvement, supported by the resource-based view (RBV) theory. Also, by supporting the dynamic capabilities theory, by promoting quality and creativity, innovations can be better commercialized and both performance outcomes and sustainability results can be positively affected.
Originality/value: This research provides new insights into the mediating effects of commercialization between internal management practices and broad performance measures in the IT sector. It underlines the importance of promoting innovative HR and quality practices to achieve sustainable business performance.
In order to make a difference in a globally competitive environment, companies should analyze their competitors, which is one of the factors around them, well, do research, observe the environment and know how to adapt. For this purpose, the research examines the effects of competitive intensity and marketing and sales capabilities, together with the global capabilities of logistics companies operating internationally (third-party logistics companies (3PL)), which are examined.
Design/methodology/approach:
To establish and test the model, a sample of 504 participants working at senior levels in internationally operating logistics companies (third-party logistics companies (3PL)) with their headquarters in Istanbul was taken and a scale consisting of a total of 32 statements was presented to them. Analyses were performed using Jamovi and SmartPLS 3.3.5. This program was used because, in addition to estimating path models with latent variables, it also calculated standard results evaluation criteria. First, the results of factor analysis are given. After these analyses were completed, the hypotheses were tested.
Findings:
This research is supported by hypotheses as a result of the analysis that global capabilities are an important factor for logistics companies at the international level, and that the competitive intensity also affects the performance outputs and that marketing and sales capabilities also have an impact.
Research limitations/implications:
Since data are collected from logistics companies operating globally, it is necessary to pay attention when the analysis results are compared with different sectors. Because the intensity of competition may vary depending on the sector and market in which companies operate. At the same time, the data were collected from authorized white-collar employees working at a senior level in logistics companies. Because, in terms of the level of being able to answer the questions about the variables examined in the research model, data were collected from high-level officials.
Practical implications:
It is getting harder and harder to compete on a global scale by going beyond national borders. The results of the analysis show how important the global capabilities of logistics companies are, especially the increasing importance of logistics activities for countries. For this reason, logistics companies operating on an international scale need to attach importance to the competitive intensity and develop their marketing and sales capabilities.
Originality/value:
The research is original in that it examines the global capabilities of logistics companies in their international activities and the effects of competition intensity. In addition, it is important for companies in this sector to examine the effects of marketing and sales capabilities so that logistics companies can reach more customers in their international activities and be more effective in the market compared to their competitors.
The purpose of the study is to examine the effects of innovative working behavior and leader support of employees in marketing and advertising companies, one of the sectors where creative ideas and innovative thoughts are common.
Design/methodology/approach:
Within the scope of the research, a questionnaire was applied to 443 authorized employees working in marketing and advertising companies headquartered in Istanbul in order to examine innovative work behavior and leader support. The collected data were analyzed using the SmartPLS 3.3.9 package program.
Findings:
As a result of the analysis of the collected data, it is supported by hypotheses that innovative work behavior and leadership support have positive effects on employees.
Research limitations/implications:
It is not possible to make generalizations because a questionnaire was administered to 443 authorized employees working in marketing and advertising companies whose research centers are located in Istanbul. However, it should be taken into account as a source to provide a basic idea for future research.
Practical implications:
As a result of the analysis of the data collected from the marketing and advertising sectors, where creativity and innovation are common, it can be explained that innovative work behavior has positive effects, and that the positive effects continue with the effect of leader support on innovative work behaviors.
Originality/value:
The research is original since it is carried out in marketing and advertising companies where traditional activities are not accepted, constantly innovative ideas and thoughts are stated and innovative behavior of employees is important in terms of raising awareness.
The purpose of this study is to understand how the level of readiness for artificial intelligence (AI) affects the overall performance of companies, determine the role of organizational flexibility in adapting to new technologies and business models and assess the importance of lean sustainability and value creation for technology-focused companies.
Design/methodology/approach:
Technology companies working in technoparks in Istanbul were determined, and a questionnaire was applied to senior employees such as experts, engineers and managers working in these companies. The results were processed with a sample of 456 units. SmartPLS program was used for analysis.
Findings:
As a result of the analyzes, it is supported by hypotheses that AI readiness and organizational flexibility have positive effects on lean sustainability and value creation.
Research limitations/implications:
When evaluated in terms of the limitations of the research, it would not be correct to evaluate the results of the analysis in general, since the data were collected from technology-focused companies in technoparks in Istanbul.
Practical implications:
Examining the variables that make up the research model in technology-oriented companies helps to understand the critical factors for the future success of companies. At the same time, this research is important for companies to make more informed decisions in their strategic planning, technological transformation processes and value creation strategies.
Originality/value:
This research topic offers a unique approach in terms of bringing together topics such as AI readiness, organizational flexibility, sustainability and value creation. These issues play an important role in the strategic planning of technology-focused companies, and when considered together, they are important in terms of examining the critical factors that affect the future success of companies.
The research paper’s purpose is to contribute to the literature by analysing the essential resources and processes required for successful commercialisation, the contemporary challenges and opportunities of artificial intelligence initiatives in Türkiye, and the diverse models and methods employed by these initiatives.
Design/methodology/approach:
Within the scope of the research, interviews were conducted with 10 entrepreneurs who established artificial intelligence-oriented enterprises in technoparks in Istanbul and Antalya. All 10 interviews were analysed using the MAXQDA20 software tool. Structured qualitative content analysis was used for the data analysis procedure.
Findings:
Based on the research, external factors have a significant impact on the future growth opportunities of the market. Expanding the client base, gaining international recognition, and securing financing are crucial for success. However, the findings reveal challenges in the relatively young local ecosystem. One major criticism is the lack of support in marketing and sales activities for refined products. To address this, providing financial incentives and knowledge transfer to those in need is vital.
Research limitations/implications:
Since the research was conducted only with entrepreneurs who established and successfully commercialised artificial intelligence-oriented enterprises, it is recommended that future studies be performed with a widespread sample group, considering this limited situation. Furthermore, to overcome survivorship bias, it is recommended that posterior studies include failed commercialisation attempts in AI ventures.
Practical implications:
It can be argued that there is no deliberate approach or model for commercialization. Entrepreneurs often draw from their own prior experiences or observe industry trends. Given the limited financial resources available in the domestic market and the challenge of attracting foreign investors to Turkish brands, entrepreneurs tend to rely on internal approaches for commercialisation.
Originality/value:
This research delves into the commercialisation prospects and obstacles encountered by AI start-ups in Türkiye. It comprises qualitative insights into business models, commercialisation approaches, opportunities, and challenges. The data were obtained from interviews with entrepreneurs operating in the industry.
Design/methodology/approach: Data were collected from information technology companies working on big data analytics in technoparks in Istanbul. In the research, the Marmara region of Turkey was preferred because it is the region where the information technology sector is most common. In total, 503 questionnaires were collected. SmartPLS (4.0.8.4) licensed software was used in the research, and the results are presented with tables and figures.
Findings: As a result of the analysis of the data, it is supported by hypotheses that ID and TM have positive effects as independent variables and BDAC has positive effects as both independent and mediation variables.
Research limitations/implications: In terms of the limitations of the research, since the data were collected only from the information technology companies in the technoparks in Istanbul, it would not be correct to generalize the analysis results. For this reason, it is recommended to develop a research model and contribute to the literature by considering this limited situation for similar studies to be conducted in the future.
Practical implications: By focusing on ID, it is important for companies to analyze their innovation processes and increase their ID capacity. On the subject of TM, analyses help companies identify their current technological infrastructure and development needs and optimize their technology portfolios. Big data analytics is an important tool that companies can use in their decision-making processes. Therefore, analyses of big data analytics can evaluate companies' current data analytics capacities and offer improvement suggestions.
Originality/value: So why are ID, TM and BDAC important? Why should a research model be developed to examine the effects of these variables? This situation can be understood by looking at the investments made by two world-class companies with headquarters in Istanbul/Turkey. L'Oréal Turkey integrates big data, cloud computing, artificial intelligence and digital platforms into its business processes by investing in new technologies and also makes a difference with innovation in environmental sustainability and social responsibility. PepsiCo, on the other hand, placed a great emphasis on innovation by opening its third Design and Innovation Center in Turkey and Europe in Istanbul. For this reason, examining the effects of ID, TM and big data analytics together in the research is important for the originality of the research. Examining these variables by focusing on their interactions and effects increases the originality of the subject.
The research purpose is to investigate the impact of green entrepreneurial orientation (GEO) on operational performance (OP) in renewable energy companies, with a particular focus on the mediating roles of green innovation strategy (GIS) and green innovation culture (GIC).
Design/methodology/approach:
Data were collected through interactive surveys with 338 middle and senior managers of renewable energy companies prioritizing sustainability. The relationships between variables were analyzed using SmartPLS and Jamovi software, which facilitates structural equation modeling.
Findings:
The analysis revealed that GEO had a significant positive impact on both GIS and GIC, followed by OP. It is supported by the hypotheses that mediating variables GIS and GIC positively influence OP, and their important role in transforming entrepreneurial efforts into operational success is confirmed.
Research limitations/implications:
The research is limited to renewable energy companies and findings may not be generalizable to other sectors. Future research could expand the scope to include different industries and geographic contexts. Additionally, dimensional research studies can provide deeper insights into the long-term effects of GEO, GIS and GIC on OP.
Practical implications:
The findings suggest that renewable energy companies should encourage a strong entrepreneurial orientation towards green practices. Emphasizing innovation strategies and developing a green culture within organizations can lead to improved OP, supporting overall sustainability goals.
Originality/value:
The research provides a comprehensive framework for understanding the drivers of OP in the renewable energy sector, providing a new perspective by combining GEO with innovation strategies and cultural elements. The originality of the research lies in the application of these concepts to an industry where sustainability is very important.
Design/methodology/approach: In the research, technoparks operating in the province of Istanbul were determined as the main population. The questionnaire used was applied to the participants working in senior and middle management positions in the companies in these technoparks. Questionnaires were sent via e-mail to the participants (by random sampling method) after obtaining the necessary permissions. In total, the data of 665 participants were included in the analysis. SmartPLS program was used for analysis.
Findings: Asaresultoftheanalysis, it is supported by hypotheses that TO, TIS and SO havepositiveeffects onperformance variables.
Research limitations/implications: However, when looking at the situation that researchers should consider in terms of the limitations of the research, the data were collected only from information technology companies located in technoparks in Istanbul. Therefore, it may not be correct to make a general judgment.
Practical implications: Because future technology investments among information technology companies are important, it can be argued according to the results of the analysis that TO and technology innovation strategies are important in terms of gaining competitive advantage. At the same time, it is supported by hypotheses that SO is important to be successful in the field of technology against competitors.
Social implications: The research emphasizes how companies that are proactive in adopting and integrating new technologies can achieve superior performance results. A detailed perspective is presented on how companies can benefit from SO to maximize the return they receive from their technological investments. Additionally, focusing on technoparks as unique environments that facilitate the integration of industrial and technological resources, the research emphasizes the importance of such ecosystems in promoting innovation and economic development.
Originality/value: The research is important research that will contribute to the literature in terms of collecting and examining data from information technology companies in technoparks and examining the effects of TOandTISofinformation technology companies in technoparks.
Design/methodology/approach: Data were collected from 527 experts based in Istanbul with at least 5 years of experience in the information technologies (IT) sector. The sample includes a demographic distribution according to age ranges and educational qualifications. Using a survey containing 47 scales, confirmatory factor analysis (CFA) and structural equation modeling (SEM) analyzes were conducted through Jamovi 2.3.28.
Findings: The results show that both creativity-oriented HRM and QM positively affect commercialization. In addition, commercialization positively affects firm performance, social sustainability and environmental performance, thus establishing a mediating role in the relationship between management practices and performance results.
Research limitations/implications: The research is limited to the IT sector in Istanbul, Turkey, and may not be generalizable to other regions or sectors. Future research may expand geographic and sectoral coverage to confirm and extend these findings.
Practical implications: Companies can leverage creative HRM and QM strategies not only to increase commercialization efforts but also to achieve superior firm performance, social sustainability and environmental outcomes. This highlights the strategic role of HR and quality initiatives in driving overall business success.
Social implications: In the research, it is stated that creativity-oriented HR is important to promote human capital as an important driver of performance improvement, supported by the resource-based view (RBV) theory. Also, by supporting the dynamic capabilities theory, by promoting quality and creativity, innovations can be better commercialized and both performance outcomes and sustainability results can be positively affected.
Originality/value: This research provides new insights into the mediating effects of commercialization between internal management practices and broad performance measures in the IT sector. It underlines the importance of promoting innovative HR and quality practices to achieve sustainable business performance.
In order to make a difference in a globally competitive environment, companies should analyze their competitors, which is one of the factors around them, well, do research, observe the environment and know how to adapt. For this purpose, the research examines the effects of competitive intensity and marketing and sales capabilities, together with the global capabilities of logistics companies operating internationally (third-party logistics companies (3PL)), which are examined.
Design/methodology/approach:
To establish and test the model, a sample of 504 participants working at senior levels in internationally operating logistics companies (third-party logistics companies (3PL)) with their headquarters in Istanbul was taken and a scale consisting of a total of 32 statements was presented to them. Analyses were performed using Jamovi and SmartPLS 3.3.5. This program was used because, in addition to estimating path models with latent variables, it also calculated standard results evaluation criteria. First, the results of factor analysis are given. After these analyses were completed, the hypotheses were tested.
Findings:
This research is supported by hypotheses as a result of the analysis that global capabilities are an important factor for logistics companies at the international level, and that the competitive intensity also affects the performance outputs and that marketing and sales capabilities also have an impact.
Research limitations/implications:
Since data are collected from logistics companies operating globally, it is necessary to pay attention when the analysis results are compared with different sectors. Because the intensity of competition may vary depending on the sector and market in which companies operate. At the same time, the data were collected from authorized white-collar employees working at a senior level in logistics companies. Because, in terms of the level of being able to answer the questions about the variables examined in the research model, data were collected from high-level officials.
Practical implications:
It is getting harder and harder to compete on a global scale by going beyond national borders. The results of the analysis show how important the global capabilities of logistics companies are, especially the increasing importance of logistics activities for countries. For this reason, logistics companies operating on an international scale need to attach importance to the competitive intensity and develop their marketing and sales capabilities.
Originality/value:
The research is original in that it examines the global capabilities of logistics companies in their international activities and the effects of competition intensity. In addition, it is important for companies in this sector to examine the effects of marketing and sales capabilities so that logistics companies can reach more customers in their international activities and be more effective in the market compared to their competitors.
The purpose of the study is to examine the effects of innovative working behavior and leader support of employees in marketing and advertising companies, one of the sectors where creative ideas and innovative thoughts are common.
Design/methodology/approach:
Within the scope of the research, a questionnaire was applied to 443 authorized employees working in marketing and advertising companies headquartered in Istanbul in order to examine innovative work behavior and leader support. The collected data were analyzed using the SmartPLS 3.3.9 package program.
Findings:
As a result of the analysis of the collected data, it is supported by hypotheses that innovative work behavior and leadership support have positive effects on employees.
Research limitations/implications:
It is not possible to make generalizations because a questionnaire was administered to 443 authorized employees working in marketing and advertising companies whose research centers are located in Istanbul. However, it should be taken into account as a source to provide a basic idea for future research.
Practical implications:
As a result of the analysis of the data collected from the marketing and advertising sectors, where creativity and innovation are common, it can be explained that innovative work behavior has positive effects, and that the positive effects continue with the effect of leader support on innovative work behaviors.
Originality/value:
The research is original since it is carried out in marketing and advertising companies where traditional activities are not accepted, constantly innovative ideas and thoughts are stated and innovative behavior of employees is important in terms of raising awareness.
The purpose of this study is to understand how the level of readiness for artificial intelligence (AI) affects the overall performance of companies, determine the role of organizational flexibility in adapting to new technologies and business models and assess the importance of lean sustainability and value creation for technology-focused companies.
Design/methodology/approach:
Technology companies working in technoparks in Istanbul were determined, and a questionnaire was applied to senior employees such as experts, engineers and managers working in these companies. The results were processed with a sample of 456 units. SmartPLS program was used for analysis.
Findings:
As a result of the analyzes, it is supported by hypotheses that AI readiness and organizational flexibility have positive effects on lean sustainability and value creation.
Research limitations/implications:
When evaluated in terms of the limitations of the research, it would not be correct to evaluate the results of the analysis in general, since the data were collected from technology-focused companies in technoparks in Istanbul.
Practical implications:
Examining the variables that make up the research model in technology-oriented companies helps to understand the critical factors for the future success of companies. At the same time, this research is important for companies to make more informed decisions in their strategic planning, technological transformation processes and value creation strategies.
Originality/value:
This research topic offers a unique approach in terms of bringing together topics such as AI readiness, organizational flexibility, sustainability and value creation. These issues play an important role in the strategic planning of technology-focused companies, and when considered together, they are important in terms of examining the critical factors that affect the future success of companies.
The research paper’s purpose is to contribute to the literature by analysing the essential resources and processes required for successful commercialisation, the contemporary challenges and opportunities of artificial intelligence initiatives in Türkiye, and the diverse models and methods employed by these initiatives.
Design/methodology/approach:
Within the scope of the research, interviews were conducted with 10 entrepreneurs who established artificial intelligence-oriented enterprises in technoparks in Istanbul and Antalya. All 10 interviews were analysed using the MAXQDA20 software tool. Structured qualitative content analysis was used for the data analysis procedure.
Findings:
Based on the research, external factors have a significant impact on the future growth opportunities of the market. Expanding the client base, gaining international recognition, and securing financing are crucial for success. However, the findings reveal challenges in the relatively young local ecosystem. One major criticism is the lack of support in marketing and sales activities for refined products. To address this, providing financial incentives and knowledge transfer to those in need is vital.
Research limitations/implications:
Since the research was conducted only with entrepreneurs who established and successfully commercialised artificial intelligence-oriented enterprises, it is recommended that future studies be performed with a widespread sample group, considering this limited situation. Furthermore, to overcome survivorship bias, it is recommended that posterior studies include failed commercialisation attempts in AI ventures.
Practical implications:
It can be argued that there is no deliberate approach or model for commercialization. Entrepreneurs often draw from their own prior experiences or observe industry trends. Given the limited financial resources available in the domestic market and the challenge of attracting foreign investors to Turkish brands, entrepreneurs tend to rely on internal approaches for commercialisation.
Originality/value:
This research delves into the commercialisation prospects and obstacles encountered by AI start-ups in Türkiye. It comprises qualitative insights into business models, commercialisation approaches, opportunities, and challenges. The data were obtained from interviews with entrepreneurs operating in the industry.
Design/methodology/approach: Data were collected from information technology companies working on big data analytics in technoparks in Istanbul. In the research, the Marmara region of Turkey was preferred because it is the region where the information technology sector is most common. In total, 503 questionnaires were collected. SmartPLS (4.0.8.4) licensed software was used in the research, and the results are presented with tables and figures.
Findings: As a result of the analysis of the data, it is supported by hypotheses that ID and TM have positive effects as independent variables and BDAC has positive effects as both independent and mediation variables.
Research limitations/implications: In terms of the limitations of the research, since the data were collected only from the information technology companies in the technoparks in Istanbul, it would not be correct to generalize the analysis results. For this reason, it is recommended to develop a research model and contribute to the literature by considering this limited situation for similar studies to be conducted in the future.
Practical implications: By focusing on ID, it is important for companies to analyze their innovation processes and increase their ID capacity. On the subject of TM, analyses help companies identify their current technological infrastructure and development needs and optimize their technology portfolios. Big data analytics is an important tool that companies can use in their decision-making processes. Therefore, analyses of big data analytics can evaluate companies' current data analytics capacities and offer improvement suggestions.
Originality/value: So why are ID, TM and BDAC important? Why should a research model be developed to examine the effects of these variables? This situation can be understood by looking at the investments made by two world-class companies with headquarters in Istanbul/Turkey. L'Oréal Turkey integrates big data, cloud computing, artificial intelligence and digital platforms into its business processes by investing in new technologies and also makes a difference with innovation in environmental sustainability and social responsibility. PepsiCo, on the other hand, placed a great emphasis on innovation by opening its third Design and Innovation Center in Turkey and Europe in Istanbul. For this reason, examining the effects of ID, TM and big data analytics together in the research is important for the originality of the research. Examining these variables by focusing on their interactions and effects increases the originality of the subject.