interpretive structure modeling

Customer knowledge management is one of the important factors in improving the performance of banking organizations. Using the digital marketing approach in customer knowledge management can help to improve relationships with customers and improve the level of banking services. Therefore, the aim of this research is to provide a framework for explaining customer knowledge management with digital marketing approach in the banking system.In this research, two qualitative methods of content analysis and structural-interpretive modeling have been used. In the content analysis section, all existing texts related to customer knowledge management were carefully analyzed and reviewed to implement the structural-interpretive modeling methodology. Also, the opinion of 15 experts who used the snowball method in the form of a questionnaire became the basis of the The results showed that customer knowledge management with a digital marketing approach in the banking system should have features such as customer knowledge, knowledge management capabilities, implementation of digital banking marketing, training and development of digital innovation. Finally, these results were classified into 12 basic themes, 4 organized themes and one overarching theme. In the second step, with the use of structural-interpretive modeling and pair communication, the relationships between the comprehensive topics were discovered and prioritized in four levels. Customer knowledge management with digital marketing approach in the banking system is the main tool to improve customer experience and increase their satisfaction. This approach not only improved banking communication, but also information obtained from customers as a valuable knowledge for improvement. has

Iranian governments have tried to increasing the non-oil export by providing export incentives in various forms and shapes. Because of the potential ability of Iran in the export of auto parts، this study identified the impact of export incentives in the automotive industry and determined the levels and their relationships in the form of an Interpretative structural model. The Statistical population of this research includes senior managers of auto-part companies in Tabriz city that which are active in the export of auto parts. Research final result includes an integrated model of export incentives in the automotive part industry with unilateral or bilateral ties. This integrated model is obtained by examining the relationships and levels of export affecting incentives the automotive industry. This model helps administrators and decision-makers in the field of trade and export، to have comprehensive view on the complex relationships between effective incentives affecting the areas export of auto parts export. It also enables managers and decision makers to have proper orientation and to identify priorities in their policy.

In regard to different structure of factors affective to personnel productivity in different organizations, this research is performed with the purpose of designing and fitness of conceptual model of personnel productivity using interpretive structure modeling in Ferdowsi University of Mashhad. The survey method and researcher-made questionaire was used for data collection in this research. The statistical population consisted of the university managers and personnel in the year of 2010. From these two populations, 86 managers and 181 of personnel were selected by random- classify sampling method. The Delphi method was utilized to identify factors affective to personnel productivity. The Delphi method result showed that, conceptual model includes 59 criteria in subset of 7 dimensions. The Conceptual Model designed by interpretive structure modeling technique through manager’s approach. Test and fitness of model performed by personnel approach through lisrel software. The result shows meaningful Path coefficient between dimensions and finally approval of model. The model consists of two levels. The under level includes work environment dimension and higher level includes other six dimensions. Therefore, the process of personnel productivity should be started with work environment dimension, and then the base of productivity will be provided for other dimensions in higher level.