The main purpose of this study is to present a framework on the construct, knowledge hoarding by investigating and distinguishing it from related concepts such as knowledge sharing and knowledge hiding. Furthermore, it aims to strengthen our understanding of knowledge hoarding by defining the construct in detail while seeking answers to why employees hoard their knowledge. The present study contains a discussion of related research on knowledge hoarding and its implications for organizations, managers and employees. By integrating research from the fields of knowledge man-agement, human resources management and organizational behavior, this paper attempts to clarify a number of issues about this concept and aims to offer a factual report on what research has to say about it. Knowledge is not an individual, but an organizational asset. In today’s business environ-ment, hoarding knowledge erodes one’s power rather than constituting a source of power. In order to remain competitive in the future, organizations will need to abandon their ideas of information hoarding and embrace knowledge management. Downsizing in organizations and the potential loss of employment due to the global economic crisis alerts the managers to be sensitive to the reasons why the individuals avoid sharing their knowledge. The managerial level should attempt to break the hoarding cycle and create new models for interaction and knowledge sharing. It is important to examine why some employees would sometimes prefer to keep knowledge to themselves. Thus, the present study seeks an answer to that area of under-investigated research.

The collaboration between the universities and industries is currently in the focus of attention globally. Governments, universities, and industries are interested in good and effective collaboration, which would be beneficial for all parties. To foster University-Industry Collaboration, and to help transfer the knowledge and technology between these two parties, academics, politicians and companies are paying attention to science and technology policies more than ever. In this study, the factors affecting the improvement of University-Industry Collaboration are identified and prioritized. In the first step, 20 factors are identified and 12 factors are selected using the Fuzzy Delphi method. Then, using the BWM method, prioritizing the extracted factors is determined for industry sponsorship of the university research. Finally, based on the results, the discussion is conducted and six major strategies are presented to improve this relationship.

This paper examined the relationship between job stress and job performance, along with the moderating effect of emotional intelligence (EI) and perceived organizational support (POS) among employees in the Istanbul financial sector. 564 employees and their 78 immediate supervisors were surveyed. The findings of this study suggest that job stress was negatively associated with job per-formance, where EI and POS were able to reduce the effect of stress on job performance. The re-sults largely support the significant impact of job stress on job performance, moderated through EI and POS as hypostasized. This paper demonstrates the important role of the job stress on job per-formance which contributes to conceptual understanding of organizational efficiency. The study has used self-reports- as well as supervisor reports to study the effects of job stress on organizational performance.

Six Sigma approach is based on decreasing defects and variations in the products and processes, and it provides important benefits to healthcare organizations. This study aims to identify managers’ opinions, who work in private healthcare organizations, about the reasons behind not using Six Sigma in their organizations. The research was performed between December 2016 and March 2018 in private healthcare organizations (private hospitals and medical centers) operating in Turkey and not using Six Sigma approach. Data were collected from managers, who have knowledge about Six Sigma, through using surveys. In this study, survey methodology was used to collect data. According to the results, the biggest barrier related to not using Six Sigma is based on the lack of knowledge about Six Sigma. The other important barrier about the diffusion of Six Sigma within this organizations is related to the lack of support from top management and leaders. Another finding about the reasons of not applying Six Sigma approach is that there is not a statistically significant difference among managers in terms of their managerial position. In order to overcome the lack of knowledge about Six Sigma, it is advised that managers should take steps in the direction of promoting Six Sigma within their current organization, and provide necessary support and leadership about the process.

Traditional project management methods have been used for many years in the implementation and management of projects. With the publication of the agile manifesto in 2001, the interest in agile methods increased and successful results were obtained in the execution and solution of complex projects with agile approaches. Agile approach consists of different structures that can be named as framework or method. Among these agile methods, which are selected and applied according to the suitability and purpose of the project, the most frequently preferred one is SCRUM. In this study, SCRUM, an agile project management technique that has been used frequently in recent years in order to develop a flexible project management process, has been examined, and the effectiveness of the events of the SCRUM technique in minimizing the risks that arise in project management has been evaluated. Determining the effectiveness of these SCRUM events, which each agile project team implements in turn, is very important for the correct and effective allocation of resources. For this purpose, a multi-criteria decision-making model has been proposed to evaluate the effectiveness of 4 SCRUM events within the scope of this study. While the importance weights of the 24 project management risk factors proposed in the solution phase of the created model were determined by the SWARA method, the SCRUM events were evaluated with the WASPAS, COPRAS and EDAS methods and the solution values found by three different methods were compared.

Closed-loop supply chain management is an effective and efficient solution for a set of activities to retrieve a product from a customer and improve its value or to dispose it. Today, designing and planning a closed-loop chain is an inevitable but difficult task. In this research, a scenario-based modeling approach is presented by considering both forward and reverse flows as a closed-loop supply chains in steel industry. The proposed study also develops a multi-product and multi-period model based on a mixed integer linear programming (MILP) approach for profit maximization. The study also considers uncertainty in the amount of raw material, processing, storage and distribution of several products flow. Uncertainty is associated with the quantity and quality of the products in the reverse flow, which are directly affected by customers and sorting centers, respectively. Finally, the model is deployed in Steel industry with real data. The results show that by increasing the quality level of returned products the need for raw materials is reduced and the total profit of the supply chain is increased.

The study examines how Instagram interactions impact customer response in the restaurant context using the Stimulus-Organism-Response (SOR) framework. It explores how interactions on Instagram influence customers' intention to visit a restaurant, online engagement (OEG), and customer involvement (CI). The study highlights the significance of Instagram as a platform for effective interaction and relationship-building with customers, emphasizing its role in the hospitality industry. The study focuses on restaurant pages on Instagram, utilizing structural equation modeling to analyze data from a sample of 242 Instagram users in Turkey who are restaurant customers. The findings reveal that social media (SM) interactions are positively and significantly related to OEG, CI, and visit intention (VI). Furthermore, the results suggest that OEG and CI mediate the relationship between social media interactions (SMI) and VI, supporting the hypotheses concerning the indirect relationships between these variables. This research contributes to understanding SM dynamics and provides insights for restaurant marketers to enhance customer engagement and drive business growth.

In recent years, one of the goals of any company is to increase overall production and process reliability. Hereupon supply chain reliability has been gaining growing attention and provides a technical framework for quantifying supply chain risks and uncertainties. In this paper, supply chain reliability was investigated in a two-stage stochastic programming model to design reliable closed-loop green four-echelon forward/backward supply chain networks. The purpose of this model was to maximize the total reliability of the supply chain based on the structural reliability theory. Our proposed model also minimized the cost of the supply chain by definition of recycling centres and the cost of penalizing unauthorized carbon emission and damages. The model optimized the locations of factories, warehouses, and recycling centres considering stochastic modes for demands and carbon price, as well as the flow between different sectors and the optimal orders. As the proposed model was a mixed-integer nonlinear problem, both e-constraint method and the metaheuristic algorithm (NSGA-II) were used in different scales and the sensitivity analysis was performed for critical parameters.

The purpose of this paper is to examine the extent to which the Intelligent Enterprise Resource Planning (I-ERP) System can be used in company operations. Machine learning is embedded in a decision tree algorithm to demonstrate the viability of intelligent technology in an ERP system and to enhance the quality of operations through an I-ERP system. The study consists of two steps. In the first step, the algorithm uses the decision tree algorithm to demonstrate the application of intelligent technology in an ERP system. In the second step, the proposed model analyzes four quality criteria related to company operations through I-ERP system in order to determine whether or not I-ERP has significant improvement on managers’ decisions. As a result, the use of I-EPR may improve the quality of operations, agile respond to market demand, increase the efficiency and the competitiveness in organizations. An illustration example is provided to demonstrate the application of I-ERP.

Recently, there has been tremendous interest worldwide in the possibility of using chaos in communication systems. Many different chaos-based secure communication schemes have been proposed up until now. However, systems with strong chaoticity are more suitable for chaos-based secure communication. From the viewpoint of Lyapunov exponents, a chaotic system with a larger positive Lyapunov exponent is said to be more complex. This paper constructing a multistable chaotic system that can produce coexisting attractors is an attractive field of research due to its theoretical and practical usefulness. An innovative 3D dynamical system is presented in this research. It can display various coexisting attractors for the same values of parameters. The new system is more suitable for chaos-based applications than recently reported systems since it exhibits strong multistable chaotic behavior, as proved by its large positive Lyapunov exponent. Furthermore, the accuracy of the numerical calculation and the system's physical implementations are confirmed by analog circuit simulation. Finally, implementing the proposed voice encryption is done using a four-wing chaotic system based on the PRNG.