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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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 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.