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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.

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.

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.

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.

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.

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.

The purpose of this study is to investigate the relationship between supplier orientation, which is Porter's general competitive strategy, and the market and financial performance in the Turkish Information and Communication Technologies (ICTs) sector, taking into account the problems in the supply chain during the pandemic process.

This study used a quantitative research design where 550 questionnaires were collected from respondents operating in various ICT companies in Turkey to obtain necessary data to test the hypotheses developed for the study. Mediation effect and path analysis were used to analyze the research data. Smart PLS 3.3 version was used for all the mentioned analyzes.

The results of the analysis revealed that supplier orientation was positively and significantly related to financial and market performance. The findings of this study also showed that Porter’s generic competitive strategies have a mediator role in the relations of supplier orientation, financial and market performance.

These findings contribute to the understanding of the importance of supplier orientation along with competitive strategies to increase market and financial performance in ICT companies, especially during the pandemic process. These findings provide recommendations for researchers, professionals and senior and supply chain managers to apply at their firms.

This is a study that adequately covers the relationship between supplier orientation, general competitive strategies and market and financial performance in the Turkish ICT sector, taking into account the pandemic process.

The purpose of this study is to examine the effects of production capabilities, competition intensity and marketing and sales capabilities on the export and production performances of textile companies engaged in export-oriented production return to normal life from the pandemic.

Within the scope of the research, a sample of 683 white-collar expert participants was taken and a scale consisting of 29 statements in total was presented to them. The structural equation modeling (SEM) model was analyzed with the study SmartPLS. At the first stage, the relations between the scale expressions and the variables were given with factor loads and weights, validity/reliability analyzes were made for the model, and finally, the research model was tested.

As a result of the analysis in the research, it can be explained that the production capabilities and marketing and sales capabilities are important for the performance of the companies, at the same time the intensity of competition keeps the companies in a dynamic structure and the intensity of competition is also important for the companies to develop themselves.

Considering the limitations of the research, data were collected from white-collar employees working in export-oriented textile companies in Istanbul. Because in order to answer the questions about the variables representing the research model, expert and authorized employees were required.

It can be explained that the performance of companies in the production sector is positively affected if they discover opportunities in risky environments so that they can gain an advantageous position over their competitors in an intense competitive environment. Because it can be assumed as a result of the analysis that textile companies want to evaluate the opportunities in the competitive environment by using their production, marketing and sales abilities during the pandemic process.

The research is unique in that it sets an example for future studies by examining the effects of production capabilities, competitive intensity and marketing and sales capabilities, which are likely to affect the performance of textile companies in the return of normal life from pandemic conditions.

The aim of the research is to analyze sustainability in energy companies in terms of financial innovation, innovation strategy and organizational innovation.

The analysis of this research was done by using the Mplus 7 package program, and the research model was tested using the existing latent variables and their expressions. Data from 298 administrative staff (white collar) working in companies operating in the energy sector were analyzed.

Both independent and mediation effects of financial innovation and innovation strategy positively affect sustainability performance. Therefore, it can be concluded that in order for sustainability performance to be positive, importance should be given to financial innovation, innovation strategy and organizational innovation activities.

As the data were collected from energy companies in this research, it is not correct to generalize the evaluations. Therefore, in terms of the limitations of the research, the sector and sample size should be taken into account in future studies.

This research conducted in energy companies focuses on the importance of sustainability and has a unique value in the literature as the data is collected and analyzed from white-collar employees.

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.

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.

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.

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.

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 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.

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.

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.

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.

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.

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.

Companies must implement sustainability measures in order to survive due to the relationship between financial, social and environmental performances. These elements must be integrated into the business in a complementary manner in this regard. As a result, this study aims to investigate the effects of entrepreneurial leadership on sustainability, as well as financial and process innovation.

Within the scope of the research, a survey was conducted with 295 white-collar employees working in energy companies. SPSS 25, the LISREL program, and SOBEL analysis were used to determine the relationships between the variables.

In the research, financial innovation perceptions and process innovation activities have a positive effect on business sustainability and entrepreneurial leadership. As both an independent and a mediating variable, entrepreneurial leadership has a positive impact on business sustainability.

Companies engaged in renewable energy production, operating in the Marmara region, constitute the sample mass. For this reason, it would be more accurate to evaluate the results obtained in this research only for companies producing renewable energy.

It is concluded that energy companies should prioritize financial and process innovations and that entrepreneurial leadership is required to ensure the sector's long-term viability.

This paper is an innovative study in terms of the scope and content of the research as data are collected and analyzed from companies that produce renewable energy.