فهرست مطالب احمدرضا اعتمادی

The purpose of this study is to study the role of knowledge management in organizational performance through the mediation of organizational entrepreneurship variables in knowledge-based companies. For this purpose, first, by reviewing the research literature and research background, the theoretical framework of the research was developed. Based on this framework, a conceptual model of the research was presented and research hypotheses were developed. In order to test the research hypotheses, the statistical population, including managers and experts of knowledge-based companies, one of the subdivisions of one of the universities in the country was selected, but due to the small size of the population of 90 people, a census was performed. Then, a questionnaire whose questions were extracted from reliable sources and its validity and reliability were confirmed was distributed among this number. Due to the abnormality of data distribution and the shape of the research model, the partial least squares method and Smart PLS 3 software were used for statistical analysis. All three were confirmed based on significant values related to the hypotheses. The effect of knowledge management on organizational performance was equal to 0.713, the effect of knowledge management on organizational entrepreneurship was equal to 0.548 and the effect of organizational entrepreneurship on organizational performance was equal to 0.407. The main suggestion is to focus on knowledge sharing in the organization, by which ideas are created and shared among employees.

Home appliance industry is one of the most important domestic industries of the country, which includes a wide range of domestic companies and factories directly and indirectly. Reverse logistics (RL) activities include the reuse, recycling, or disposal of used materials and products. The purpose of this research is to provide a strategic model for the implementation of reverse logistics in the home appliance industry. The present study is exploratory in terms of purpose and applied in terms of the type of use, in which qualitative research strategy and thematic analysis method are used. The statistical population consists of all executive and academic experts in the field of reverse logistics and home appliance industries. To collect research data, interview with 11 executive and academic experts were conducted. The number of interviews were determined by purposeful and snowball sampling. Data analysis showed that the strategic model of reverse logistics includes five main categories, including management strategies, technology development strategies, culture building strategies, financing and legal strategies, and cooperative marketing strategies. This means that, informed by more research and development, new strategies should be formulated in this field, attention should be paid to culture-building for cooperation, and finally the rules of the competitive market should be amended. The use of reverse logistics (RL) will help various industries, including home appliances, to achieve their resource recovery goals and move towards sustainable development.

This research, as one of the most elementary studies in the field of digital talent in Iran, has explained the model of digital talent management in Iran's banking industry (Mixed Method).

The research approach in this study is grounded theory and structural equation modeling. Data were obtained through semi-structured interviews with organizational experts in the banking industry and a quantitative questionnaire among employees.

The findings include the final categories: philosophical and organizational orientations, situational analysis of digital talent, recognizing situational and perspective patterns, directions of strategic measures in the development of DTs, and improving the level of individual and organizational performance. In the quantitative part, the organizational and philosophical orientations have affected its three direct structures, i.e. digital talent situational analysis, recognition of situational patterns, and digital talent developing. In the studied structural model, the recognition of situational patterns structure is considered as the most effective structure in relation to digital talent developing and strategic actions orientations in digital talents development in the conceptual model.

In general, the spread of digital thinking in various elements of banking is important and the development of internal orientations of banks towards digital ideology is a policy that can create more capabilities and capacities in the HR department, and the bring banks to better competitive advantages in the field of digital talents.

The present study has developed a dynamic model of bank strategy in uncertainty using the system dynamics approach. After examining the Iran's banking system and Detection of future uncertainties with the participation of policymakers of Saderat bank, a causal diagram of the banking system's performance in conditions of uncertainty was designed. The Dynamic accumulation and flow model was designed based on banking data and simulated over a 20-year horizon. After validation of the model, based on the results of sensitivity analysis, bank strategies and policies were extracted and analyzed in conditions of uncertainty. According to the research findings, four strategies of managing the bank's assets and expenses, attracting financial resources and profitability, empowering the bank's management and developing the banking infrastructure, as well as selected combinations were identified and simulated. As a result, the selected Strategy simulation is a combination of policies, show the best perfomance including: 1-three times increase in investment in banking infrastructure; 2- Creating special mechanisms for collection of receivables; 3- Managing a 5% reduction in bank costs through streamlining processes and empowering human resources, as well as monitoring the bank's costs and expenses. 4- Increasing 4 times the efficiency of the appropriate accreditation process for customers. Financial transparency reports and effective communication with key stakeholders were provided. 5- Twice the increase of depositors' trust and security by presenting financial transparency reports and effective communication with key stakeholders, which as a result of applying these strategies, improves the bank's profitability, increases receivables and reduces costs. We will be.

A new trend in human resources, especially in the last decade, is the issue of digital talent. This event is certainly influenced by the evolution of the digital economy and the effects that digital technologies such as artificial intelligence have left on the business environment. As little research has been done on digital talent, there is still insufficient knowledge on what digital talent is and what to do about it. Therefore, this study, as one of the earliest studies in the field of digital talent, has investigated this issue in the banking industry. The research approach in this study is grounded theory. Data were obtained through interviews. At the end of the research, the extraction of 326 common first-order open source codes (out of 434 first-order codes), 72 second-order open source codes (resulting from common open source coding), 24 axial categories and 5 selective categories including: Philosophical and organizational orientations of digital business; Cognitive mapping of digital talent based on digitization initiatives; Recognize situational patterns and perspectives with the aim of understanding environmental events; Orientations of strategic actions in the development of DTs; And improved the level of individual and organizational performance.

Today, the maintenance and sustainability of human resources is one of the most vital issues in organizations. Hereby, talent management is one of the significant cases and the professional competencies of personnel play an essential role in improving talent management. In fact, people have the opportunity to develop different talents, but not much attention is paid to them and people's potential is not used much. This study was conducted in one of the subdivisions of law enforcement cooperatives. The purpose of this study is to provide a competency model for managers to manage talent. Accordingly, interviews were conducted with 15 managers of the organization who were purposefully selected. Then, using the qualitative method of theme analysis in interviews, the factors affecting the proper management of talents were identified. In the next step, the research model was presented using an interpretive structural process. In this model, the underlying factors are: "Knowledge of the organization, responsibility, familiarity with information technology and ethics and beliefs." Accordingly, theism, piety, hereafter and such principles, managers' familiarity with information technology, acceptance of responsibility and knowledge of the organization, are the most important factors that lead to optimal talent management

Nowadays application of learning and teaching tools such as IT and Internet for teaching organizational personnel is being rapidly developed. Electronic learning is one of most prominent learning environments in Information Age but the effective factors on function and admission of these systems by organizational personnel compared with traditional learning systems are the priority to be researched.In this regard, this research is intended “to survey the effect of organizational support and digital literacy on electronic learning performance considering mediator role electronic teaching continuity”. The theories of this research peruse the effect of Digital Literacy, Effort, function, organizational support expectations on intent of electronic teaching continuity and occupational function. Statistical society of this research consists of Municipal Workers in Tehran, Dist. 2 which 100 persons were surveyed in one sample via questionnaire consisting 16 questions. In this test, the theories were utilized by structural equation model (SEM) via smartPLS software Version 2. The results indicate that all hypothesizes approved and : digital literacy of the surveyed personnel having positive effect on their function equal to 47%; organizational support having positive effect on electronic teaching continuity for 49% and on electronic teaching continuity on electronic learning performance is positive and equal to 86%. A basic offer to the organization of training sessions and familiarizing staff with the features of e-learning and its benefits.

Time management helps people to organize their professional life. However, the existing literature on how time management leads to important outcomes such as problem-solving and a better quality of life is unclear. Therefore, this study aimed to predict problem-solving and quality of life based on time management mediated by mindfulness in NAJA managers.

This research is applied in terms of purpose and descriptive correlation in terms of method. The statistical population was the managers of the NAJA in Tehran in 2021, from which 73 people who were willing and interested in completing and returning the questionnaire were selected by the available sampling method. Then they answered the mindfulness questionnaire of Bayer et al. (2006), the time management questionnaire of Karami Moghaddam (1998), the quality of life questionnaire of the World Health Organization (1996), and the problem-solving questionnaire of Hepner and Patterson (1982). In order to analyze the data, the structural equation modeling method and smart-PLS software version two were exerted.

The research model had a good fit. All direct and indirect relationships were significant and the model was validated. Time management positively predicted mindfulness, problem solving, and quality of life. In addition, mind management through mindfulness also predicted problem solving skills and quality of life (P <0.05).

 In order to better solve the problem and increase the quality of life of managers in difficult job situations, time management can be emphasized and measures can be taken to increase managers' mindfulness so that more effective planning and goal setting can be done.

The development of intelligent technologies requires planning,organizing,controlling and monitoring.The main purpose of this study is to design a structural model of components for the development of intelligent technologies in the telecommunications industry. The present study is a qualitative-quantitative (mixed) research. The population studied in the qualitative part of this research consists of 10 experts in this field in Ilam Province Infrastructure Communications Company.Also, the study population in the quantitative and modeling sections are the same 10 experts. In this research, first, using semi-structured interviews and their analysis,153 codes,9 main categories and 4 general themes were identified as technological, managerial, marketing and cultural infrastructures.In the next step, bydistributing the pairwise comparison questionnaire related to9 main categories and analyzing them, an interpretive structural model of the research was obtained.This model consists of 5 levels,among which, knowledge is at the lower level and is the underlying variable for the development of intelligent technologies.At the next level, it is the training variable that is the next priority.The variables of awareness, belief and attractiveness are important in the next category that paying attention to these factors,in order of importance, can be very useful and effective in the development of intelligent technologies in the telecommunications industry.

Internet addiction has become a serious public health problem in world Wilde. Recent studies indicate an increasing trend of this addiction among married women. Therefore, the present study was conducted to predict Internet addiction based on the variables of loneliness and sleep quality mediated by emotion regulation in married women.

The present study was a descriptive correlation with the structural equation method. The statistical population of the study was married women in Tehran, 363 of who were selected by convenience sampling. Data collection tools included the Davis Internet Addiction Questionnaire (2001), short form of the DiTommasso et al (2004) for Adult Socio-Emotional Feeling of Loneliness Scale, the Pittsburgh Sleep Quality Questionnaire (1989), and the Grass & John Emotion Regulation Questionnaire (2003).

Data analysis using structural equation analysis with correlation, regression and path analysis showed that the research model has a goodness of fit. All direct and indirect relationships were confirmed and it was found that the variables of feeling lonely and sleep quality, with the mediation of emotion regulation, can predict Internet addiction in married women (P <0.05).

According to the findings, it seems that the necessary training for the optimal use of the Internet, measures to reduce feelings of loneliness by improving interpersonal relationships, especially in marital relationships, increasing sleep quality through sleep health education, and improving strategies Emotion regulation through proper control and expression of emotions in married women should be considered.

Today, Companies can use different supply chain paradigms to achieve better performance and improve their competitiveness. Lean supply chain is one of these paradigms that focuses on eliminating waste along the chain. On the other hand, the lean approach emphasizes three dimensions of economic, social and environmental along the chain and can lead to sustainability in supply chain. In fact, sustainability refers to a good balance between economic development, social assets and environmental issues. Due to the importance of the oil and gas industry in our country, the implementation of a lean supply chain based on sustainability in active organizations in this area is very important.

In order to conduct this study that has been carried out in one of the largest companies operating in the offshore sector, first, by reviewing the literature and opinion poll at the experts, the ten factors that lead to lean supply chain were identified. Then, using an interpretive structural modeling approach, the research framework was developed.

in this framework, "management and leadership" as the most influential and the two factors, "minimization of delivery time" and "flexibility" were determined as the most influential factors.

Accordingly, the "management and leadership” was the basis of this framework and should be much considered. Finally, some suggestions were made to achieve lean procurement process with sustainable approach in the offshore sector of the oil and gas industry.

Supply chain management is now regarded as an effective factor in achieving competitive advantage in different organizations. It can be suggested that it is not the organizations which compete against one another. Rather, it is the supply chains which are competing for extensive markets. Organizations have found out that knowledge is the most strategic source and is regarded as the axis of competition and survival. Knowledge management and its implementation in the supply chain can be viewed as an effective factor in increasing the efficiency of the supply chain. The purpose of this study, which was conducted in the largest and most active company in the field of offshore oil and gas, is to investigate the role of knowledge management in the effectiveness of the supply chain. Based on the research literature, a conceptual model was designed according to which the hypotheses are proposed. The statistical population of this study includes managers and experts of the Marine Construction Engineering Company, 33 people of whom were selected based on the purposive nonrandom targeting approach. Due to the limited number of statistical sample, structural equations and Smart PLS software 2 were resorted to test the hypotheses. According to data analysis, all hypotheses were confirmed and priorities were established on the basis of factor loadings. For knowledge management, it is the knowledge Management Index with the coefficient of 0.612 which is regarded as the most effective, and it is the "knowledge sharing" index with the coefficient of 0.391 which has the least effect on the efficiency of the supply chain. Due to the significant role of maintaining knowledge indicators, we can effectively support supply chain by the establishment of an appropriate information technology and timely storage of knowledge through these infrastructures and systems.

Today, due to the ever-increasing competition between organizations and uncertain environments that have been created by many changes in customer needs, using an efficient supply chain can be considered as a competitive advantage for any organization. In this regard, one solution is lean approach. Lean approach helps to eliminate waste in the supply chain. On the other hand, based on the state of Iran and the abundance of oil and gas resources, the implementation of lean approach in the supply chain of the organizations operating in this field is very important.In order to conduct this study, that has been carried out in one of the largest companies operating in the offshore sector and the objective is to achieve an supply chain. First, by reviewing the literature, eight key factors that lead to the lean of the supply chain were identified and using the tool of the questionnaire and distributing between statistical sample and statistical analysis were effective. Then, using an interpretive structural modeling approach, the research model was developed. In the next step, the model was validated in quantitative and statistical analyzes as well as qualitative and based on it, the factors: financing, leadership and management, and communication with the supplier were identified as the most influential and minimizing the delivery time and flexibility were identified as the most impressive factor. Finally, some suggestions were made to achieve lean procurement process in the offshore sector of the oil and gas industry.

Today, due to the ever-increasing competition between organizations and uncertain environments that have been created by many changes in customer needs, using an efficient supply chain can be considered as a competitive advantage for any organization. In this regard, one solution is lean approach. Lean approach helps to eliminate waste in the supply chain. On the other hand, based on the state of Iran and the abundance of oil and gas resources, the implementation of lean approach in the supply chain of the organizations operating in this field is very important. In order to conduct this study that has been carried out in one of the largest companies operating in the offshore sector and the aim of this research is to provide a lean supply chain model in offshore oil and gas industry and accordingly, executive solutions can be presented.  First, by reviewing the literature and opinion poll at the experts, the 11 factors that lead to lean supply chain were identified. Then, using fuzzy analytical heararchy process and interpretive structural modeling approach, the research model was developed and based on it, the factor: “leadership and management”, “information sharing”, ‘financing” and “supplier contact” identified as the most influential and “minimizing the delivery time” was identified as the most influential factor. In the next step, the model was validated in quantitative and statistical analyzes as well as qualitative. Finally, some suggestions were made to achieve lean procurement process in the offshore sector of the oil and gas industry.

Nowadays, Internet as a quick and inexpensive mean of communication has changed different aspects of human life.In this regard, the Statistics shows that the number of Internet users has been increased greatly in different countries in recent years.Meanwhile, the companies that provide Internet services to their customers are looking for their basic needs. One of the main ways to hear the voice of customers is the quality function deployment approach. This study has been conducted in one of the companies providing Internet services in Iran. In the process of study, first, the needs of customers were identified. Then analytic hierarchy process method and quality function deployment approach were used to implement the needs in Internet services. The results of study indicated that “appropriate price for the provided services was the most important needs of customers and among engineering characteristics, “utilizing expert, motivated, and skilled employees was in the highest priorities. So, more focus on these important factors play crucial role in achieving success.

Supplier selection issue is one on the basic problem in all of industries especially in oil industry. In such issues¡ multiple criteria and sometimes contradictory criteria must be considered. So¡ these problems are considered as multi-criteria problems. Suppliers can have a huge impact on the performance of companies in different categories like¡ price¡ quality and delivery. Experts believe that there is not the best way for evaluating and selection and there are different methods in this field. In this study¡ first¡ with investigating other studies and interviews with experts and the basic criterias for supplier selection were identified and prioritized with Analytic Hierarchy Process. In the next step¡ according to the criteria and alternatives (suppliers)¡ a hierarchical analysis model prepared and alternatives were also prioritized. In order to determine economic order quantity for one of the main needed parts¡ a hybrid goal programing and analytic hierarchy process has presented and by using real data¡ model run and the optimum order for the part was determined for each supplier.

Nowadays, Oil and gas industry has made fundamental changes in growth and development of our country and contemporary demands for oil products and their various applications, in parallel, our country’s potential in this fields leads to noticeable investments of government on this industry. In this regard, the first step is supplying equipment which are needed for transformation the hydrocarbon resources to refineries. Next step is applying specific operations and processes to produce the favorable products. Supplying equipment in shortest time and highest quality make the supply chain more efficient and help organization to reach its mission. The main aim of this study is to increase efficiency of supply chain by lean supply chain. This process commences with recognition of waste parameters in supplying equipments in Iranian Offshore Engineering and Construction Company, and then the parameters sort based on priority and finally led to propose some solution for omission or decline of wastes. So, consulting with professionals, 10 main wastes have been recognized and sorted by applying AHP method by Expert Choice software. In conclusion several solutions have been proposed for decreasing of wastes.