نشریه ارزش آفرینی در مدیریت کسب و کار
سال دوم شماره 1 (پیاپی 3، بهار 1401)

The purpose of this research is to design and explain the behavior model of buyers of luxury goods centered on the gold market. In this regard, while reviewing concepts such as buyers' behavior, luxury goods and the gold market, with interviews from experts and professors in the field of luxury and gold industry as well as marketing, qualitative analysis method was used to present the pattern of behavior of buyers of luxury goods centered on the gold market. The studied community includes all experts and professors in the field of luxury and gold industry as well as marketing. The sample size of the study includes 10 experts in the field of luxury and gold industry as well as marketing, which was selected by the theoretical saturation method. Semi-structured interview and Delphi method were used to collect data in this research. The results of qualitative analysis by Max Kyoda software showed that the components of designing and explaining the behavior model of luxury goods buyers centered on the gold market by thematic analysis method include: 1- social factors, 2- cultural factors, 3- individual factors, 4- economic factors, 5- consumer attitude, 6- consumption motivation, 7- value, 8- experience, 9- awareness and 10- consumer behavior. Also, for these components, 65 indicators were finally approved by the experts.

The purpose of this research is to identify the needs of customers in providing services through electronic channels with a mixed approach. The statistical population includes two groups of managers and experts in the field of electronic banking services, and all customers of Bank Mellat in Ilam city. The sampling of the qualitative part was done in the form of a snowball; and 10 experts and managers were selected, and 384 people were selected in the quantitative part by simple random sampling and through Cochran's formula. The tool for data collection is semi-structured interviews in the qualitative part and researcher-made questionnaires in the quantitative part. To analyze the data, the qualitative part was analyzed by the theme analysis, and the quantitative part by the structural equation model. The results showed that a total of 28 components were identified and extracted in the 5 main categories of service characteristics, service reliability and security, access and service delivery time, understanding and recognition, communication with the customer, and price and cost. Also, the results of the structural equations indicate that the 5 identified categories are among the factors affecting the needs of customers.

The purpose of this research, which was conducted with a quantitative approach and using a questionnaire tool, is to validate one of the conceptual models available in the literature and provide a framework of factors affecting the development of the digital economy in Iran. The statistical population of this research includes the founders, managers, employees and experts of businesses based on information technology and digital economy activists in the country, and the minimum sample size for the validity of the results according to the method used for quantitative analysis is 160. In this research, the findings of the reference qualitative research were implemented in the form of a questionnaire using the Google Form tool and sent to a community of industry activists. The data received through 240 completed questionnaires were analyzed using the confirmatory factor analysis method, and the results were presented in the form of a final model. The results of this research show that the development of the digital economy requires simultaneous attention to environmental factors and inter-organizational factors, and the government as a policy maker plays a key role in the development of digital businesses.

The current research deals with the effectiveness of the knowledge management model in achieving the goal of improving its position in Bank Tejarat. The European Organizational Excellence Model (EFQM) was also chosen because the nine criteria included in this excellence model include the basic concerns of the bank. The analysis has been done by considering 5 main hypotheses based on 5 enabling criteria of the model and 5 sub-hypotheses according to the respondents' service units. The statistical population is experts and managers who are based in the headquarters of Tejarat Bank in Tehran. Using stratified random sampling, a total of 270 questionnaires containing 24 questions were distributed, of which 250 complete responses were received and analyzed. In this research, the methods of reviewing documents and questionnaires were used to collect information, and SPSS software was used to perform calculations. The results of the investigations show that, from the perspective of the employees of Tejarat Bank, in this discussion, among the components of the European model of organizational excellence, the human resources component has the highest priority and the component of business partners has the least importance.

The main goal of the current research is to model the structural equations of the impact of senior management's green commitment on environmental performance with the mediating role of green human resource management (a case study of Shahrekord manufacturing companies). The current research is applicable in terms of purpose, and descriptive-survey in terms of data collection. In this research, Daly et al.'s (2007) questionnaire was used to measure the green commitment variable of senior management, Jabour's (2011) questionnaire was used to measure the green human resources variable, and Kim et al.'s (2016) questionnaire was used to measure environmental performance. The statistical population of this research is 168 managers of manufacturing companies in Shahrekord, 117 of them were selected as a sample using Morgan's table, and the questionnaire was distributed among them by simple random sampling. SPSS and PLS software were used to analyze the data and test the hypotheses. The results show that the green commitment of senior management has a significant positive effect on the company's environmental performance. Also, the senior management's green commitment has a significant positive effect on the company's green human resources management. But green human resource management does not have a positive effect on environmental performance.

Green commitment and environmental performance is the result of feeling the concerns of people in the organization regarding environmental issues. Of course, there is no consensus in the academic literature regarding the definition of commitment regarding environmental issues, and even above this, perhaps there is no correct understanding of the commitment arising from individuals and organizations. The main goal of the current research is to model the structural equations of the impact of senior management's green commitment on environmental performance with the mediating role of green human resource management (a case study of Shahrekord manufacturing companies). The current research is practical in terms of purpose and descriptive-survey in terms of data collection. In this research, the questionnaire of Daly et al. (2007) was used to measure the variable of green commitment of senior management, the questionnaire of Jabour (2011) was used to measure the variable of green human resources, and the questionnaire of Kim et al. (2016) was used to measure the environmental performance. The statistical population of this research is 168 managers of manufacturing companies in Shahrekord, 117 of them were selected as a sample using Morgan's table, and the questionnaire was distributed among them by simple random sampling. SPSS and PLS software were used to analyze the data and test the hypotheses. The results show that the green commitment of senior management has a significant positive effect on the company's environmental performance. Also, the senior management's green commitment has a significant positive effect on the company's green human resources management. But green human resource management does not have a positive effect on environmental performance.