Seyed Farid Mirnezami; Behrooz Ghasemi; Ahmad Vadadi; Mansoureh Aligholi
Abstract
Purpose: This article was conducted with the aim of identifying competitiveness indicators with emphasis on human capital training in the country's banking industry. Methodology: This research was based on empirical philosophy and deductive-inductive method. The present study was an applied-developmental ...
Read More
Purpose: This article was conducted with the aim of identifying competitiveness indicators with emphasis on human capital training in the country's banking industry. Methodology: This research was based on empirical philosophy and deductive-inductive method. The present study was an applied-developmental research in terms of purpose and a cross-sectional research in terms of data collection method. Since quantitative and qualitative methods were used in this study, so it was a mixed research. The statistical population of this article included marketing professors and managers of the Iranian banking network. A non-probabilistic and purposeful method was used for sampling and finally 12 of the mentioned experts participated in this study. In this paper, the meta-combined method was used to identify the underlying categories of competitiveness and with emphasis on human resource training in the banking industry. Also, the results were validated using fuzzy Delphi method. Data analysis was performed using MaxQDA and MatLab software. Findings: The results showed that the main indicators of competitiveness based on the banking industry are: organizational knowledge management, training and development of human capital, customer experience management, market orientation, brand equity, bank structure, change management, customer satisfaction and loyalty, knowledge, technology Information and communication and financial management. These indicators can be monitored and measured based on 45 items. Conclusion: According to the research findings, identifying competitiveness indicators with emphasis on human capital education in the country's banking industry, creates a platform for healthy competition and ultimately leads to growth and improvement of the country's economic situation.
Mehrdad Bandari; Soheil Sarmad Saeedi; Behrooz Ghasemi
Abstract
Purpose: The aim of this study was to identify and rank the attitudinal factors related to e-commerce education in shopping. Methodology: The research method was applied in terms of purpose and descriptive-survey in terms of data collection method. The statistical population of the study consisted of ...
Read More
Purpose: The aim of this study was to identify and rank the attitudinal factors related to e-commerce education in shopping. Methodology: The research method was applied in terms of purpose and descriptive-survey in terms of data collection method. The statistical population of the study consisted of all students in the electronic department of Kharazmi University. In this study, sampling was done among the students of Kharazmi University electronic department in an available cluster method. Data collection tool was AHP questionnaire whose reliability was confirmed using an incompatibility rate of IR = 0.02 which was less than 0.1. AHP technique and Expert Choice and Excel software were used to analyze the data. Results: According to the experts' answers and the results of hierarchical analysis: quality of electronic services with a weight of 0.095 in the first priority and mental norms with a weight of 0.089 in the second priority and perceived usefulness with a weight of 0.082 in the third priority Perceived risk with a weight of 0.075 in the fourth priority, Innovation with a weight of 0.017 in the fifth priority, Technology facilitation conditions with a weight of 0.070 in the sixth priority, Online shopping attitude with a weight of 0.066 in the priority Seventh, motivation to buy with a weight of 0.063 in the eighth priority, past effects of shopping on consumer behavior with a weight of 0.060 in the ninth priority, product quality with a weight of 0.057 in the tenth priority, ease of use perceived with a weight of 0.051 in the eleventh priority, comparative advantage with a weight of 0.050 in the twelfth priority, ease of access to resources with a weight of 0.048 in the thirteenth priority and perceived value with a weight of 0.047 in the fourteenth priority, product compatibility with behavior Consumer purchases with a weight of 0.046 in the 15th priority and trust with a weight of 0.029 in the 16th priority Identify and rank the attitudinal factors related to e-commerce education (Case study: Students of Kharazmi University Electronic Unit) were included in the purchase. Conclusion: According to the experts and the results of hierarchical analysis: quality of electronic services with a weight of 0.095 in the first priority and mental norms with a weight of 0.089 in the second priority and perceived usefulness with a weight of 0.082 in the third priority Perceived risk with a weight of 0.075 were in the fourth priority, innovation with a weight of 0.017 were in the fifth priority.
