The aim of this study is to analyze the relationships between leadership effectiveness, knowledge sharing behavior, business performance, firm strategy, and firm performance. In this study, to reveal the relationships, statistical analyses were applied to the data collected using one-to-one questionnaire techniques while the relationships between the variables were tried to be revealed. In this study, the importance of knowledge sharing behavior and the positive effects of both independent variable and mediator variable on the organization are emphasized. In addition, the positive effect of leadership effectiveness and knowledge sharing behavior on work performance, firm strategy, and firm performance variables was detected. Analysis was made using LISREL, IBM SPSS 23 software program, and SPSS PROCESS V.3 add-in, and confirmatory and explanatory factor analysis and reliability analysis were performed on questions using Likert-type scale. In the analysis of the relationships between variables in the correlation menu of the main menus of SPSS Program, the regression menu was used to test the hypotheses and to reveal the mediation variable effect of the PROCESS V.3 add-in. Confirmatory factor analysis was performed by LISREL program.

Purpose: Aritificial intelligence (AI)-focused enterprises purpose to provide value-creating and differentiated products and services using innovative technologies. For this reason, it is aimed to examine the effects of value creation, intellectual property and organizational creativity variables to make evaluations to increase the success of such enterprises.Design/methodology/approach: Random sampling method was used in the research. The population of the research consists of AI-oriented enterprises in technoparks. On the specified days, short-term visits and surveys were conducted face-to-face. Name and similar personal information was not taken in the research and participation was made on a voluntary basis. A sample size of 500 units is a sufficient size at the 0.05 significance level. SmartPLS (4.0.8.4) licensed software was used in the research.Findings: As a result of the collected data, it has been supported by hypotheses that value creation, intellectual property and organizational creativity have positive effects so that artificial intelligence-oriented enterprises can be successful in performance criteria.Research limitations/implications: Since the research was conducted by collecting data from artificial intelligence-oriented enterprises in technoparks in Istanbul, it would not be correct to evaluate the analysis results by making generalizations. For this reason, it is recommended that similar studies planned to be conducted in the future should contribute to the literature by developing the research model, taking into account the limited situation in the sample.Practical implications: According to the results of the analysis of the effects of value creation, intellectual property and organizational creativity in artificial intelligence-oriented enterprises, in order to increase the success of such enterprises, they should offer more value to their customers, protect their technologies and increase their innovation capacity.Originality/value: Value creation, intellectual property, and organizational creativity in AI-focused enterprises are important topics in a rapidly growing industry such as AI-focused enterprises. Therefore, a research investigating these variables together offers a different perspective than previous studies.

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 article is to examine the concepts of knowledge management strategies, innovation and service quality in information technology companies that have research and development (R&D) departments in the technoparks of research universities.Design/methodology/approach: The research was carried out in information technology companies with R&D departments in the technoparks of universities. Due to the “innovation” focus of the research, 302 engineers were selected by random sampling from engineers working in information technology companies in technoparks, and the prepared scale was sent to them via e-mail. In total, 302 units of data were subjected to path analysis and mediation effect analysis using the SmartPLS program.Findings: In the research, it is supported by hypotheses that both knowledge management strategies and organizational innovation have a positive effect on the success of service quality and product innovation in information technology companies with R&D departments. At the same time, it can be explained as a result of analysis that innovation capability has both an independent and an intermediary variable effect.Research limitations/implications: Considering the limitations of the research, it is not correct to generalize the results of the analysis because the research was conducted only in information technology companies located in technoparks, and the data were collected from engineers working in these companies. For this reason, it is recommended that similar studies that are planned to be conducted in the future should do their research by taking this situation into account. At the same time, it is recommended to carry out future studies in different sectors and to bring the results obtained to the literature by comparing them.Practical implications: The importance of information is increasing in technology-oriented companies where competition is increasing. Companies that cannot go beyond imitation or offer similar products and/or services cannot compete with their competitors in a competitive environment. The fact that companies can be successful in a competitive environment is supported by hypotheses as a result of the analysis that they need to develop organizational innovation and knowledge, as well as develop innovation capability at the same time.Originality/value: The research is an original study in terms of examining the R&D departments of information technology companies operating in the technoparks of universities. Innovation and knowledge management strategies are examined within the scope of the research model by collecting data from information technology companies with R&D departments.

Purpose: The increasing global emphasis on environmental sustainability necessitates a better understanding of the antecedents of green creativity (GC) and business sustainability (BSE). However, research on this topic is limited, and these antecedents have not been examined holistically. Considering this research gap, in this study, we examined the interconnected roles of green dynamic capabilities (GDC), green technology adoption (GTA), green business strategies (GBS) and green knowledge management (GKM) in influencing GC and BSE. Design/methodology/approach: We collected the research data through surveys applied to 874 companies operating in the manufacturing and service sectors in Turkey and analyzed the data using the partial least squares structural equation modeling (PLS-SEM) method. Findings: The study shows that GDC positively influence GBS, GC and GKM. Additionally, GTA positively affects GBS, BSE and GKM. However, GBS only impacts GC, while GKM positively influences GC and BSE. Our mediation analysis results indicate that GBS mediates the relationships between GDC–GTA and GC. Furthermore, GBS mediates the relationship between GTA and BSE. Similarly, GKM mediates the relationships between GDC and GC–BSE. Finally, it was determined that GKM mediates the relationships between GTA and GC–BSE. Research limitations/implications: The focus of the research on Türkiye limits the generalizability of the findings. Future research can examine the relationships between the variables in different geographical and industrial settings and provide deeper insights into the causal mechanisms underlying these relationships. Practical implications: The analysis results of the research provide actionable insights for companies aiming to improve their sustainability practices. In addition, managers can use GDC and GTA to strengthen GBS and GKM, thus realizing their positive impacts on GC and BSE. The importance of integrating green strategies and knowledge management to take environmental challenges into account is emphasized. Originality/value: The research is one of the important studies that comprehensively examine the interaction between GDC, GTA, GBS and GKM in the positive impacts of GC and BSE. The research provides insights into green transformation efforts in emerging economies, expanding the literature beyond the manufacturing sector to include the service sector.