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

 Today, many development policy makers refer to tourism as the main pillar of the economic development of societies. The development of tourism as a type of invisible export will increase tax revenues, exports and economic growth of countries. Sports tourism is one of the fastest developing sectors in the tourism industry. The purpose of the current research was to provide a model of sports tourism development with an emphasis on entrepreneurial marketing in the northern provinces of Iran. The current research is applied in terms of purpose and descriptive-correlation based on the method. In the first step, the factors affecting the development of sports tourism were identified with an emphasis on entrepreneurial marketing through interviews with 11 academic experts. The output of this step was 31 components in 7 dimensions format. Then, in the second step, the identified dimensions were leveled with interpretive structural modeling method and clustered with Micmac analysis, which was analyzed using Excel software. The results showed that the dimension of value creation is at the first level and the dimensions (progressiveness, focus on innovation, opportunity-oriented, customer orientation, leveraging resources) are at the second level, and the dimension of risk management is at the third level, and the dimension of value creation is in the dependent cluster, dimensions ( Being a leader, focusing on innovation, opportunity-oriented, customer orientation, leveraging resources) are placed in the connected cluster and risk management dimension in the independent cluster.

Political entrepreneurship is the driving force behind creating institutional changes that make it possible to change outdated processes. Political entrepreneurs have played an essential role in the policy-making process to create policy changes, and they can create different economic and social dimensions by presenting political strategies. The consensus of key and politically influential people on the issue of entrepreneurship in the country can accelerate the process of program development and solve process challenges. Therefore, identifying the development strategies of political entrepreneurship and strengthening the presence of these people leads to value creation and economic and social growth. Therefore, this research aims to interpret the structural modeling of political entrepreneurship strategies. Political entrepreneurship strategies were identified through semi-structured interviews with a qualitative content analysis method based on the theoretical saturation technique and purposeful sampling method with 24 entrepreneurship, policy-making, and management professors. The validity and reliability of the interviews were confirmed by the methods of relative content validity and Cohen's kappa index, respectively. Coding interviews using MAXQDA2020 software led to the identification of 11 strategies. In order to level the identified strategies, the opinions of 94 entrepreneurs and senior managers of government organizations were used with the stratified random sampling method and with the help of a questionnaire. The validity and reliability of the questionnaire were confirmed using content validity and the test-post-test method. The strategies identified by the interpretative structural method led to the formation of five levels, where political networking was the most effective and streamlining was the most impressionable factor.

One of the most important challenges for public administration is the coordination of economic policies at the national and provincial levels. Development policies require the synchronization of efforts and effective interaction between economic institutions in the provinces. Accordingly, the purpose of this study was to interpretive structural modeling the factors affecting the coordination of economic policies in the provinces. This research is one of the researched studies in terms of applied purpose and typology in terms of qualitative and quantitative approach in deductive-inductive paradigm. The factors affecting the coordination of economic policies were identified through semi-structured interviews based on theoretical saturation with 26 university professors and experts in the field of policy-making, public administration and former and current deputy coordinators of economic affairs in the provinces. The validity and reliability of the interviews were confirmed by the method of content validity and Kappa Cohen index, respectively. In the quantitative part, in order to model the coordination of economic policies, the opinions of 72 senior and middle managers of the governorates and economic institutions of the provinces were used by Convenience sampling method. The validity and reliability of the questionnaire were confirmed by content validity and test-post-test method, respectively. The coding of the interviews using Atlas ti software identified 13key factors in the coordination of economic policies in the provinces. Modeling the identified indicators by interpretive structural method and MICMAC analysis led to the formation of six levels that Coordination mechanisms, process re-engineering, comprehensive information system and systemic thinking were the most effective and counter-bias and prevention of sabotage were the most impressionable factors in coordinating economic policies in the provinces.

The purpose of this study was to identify and leveling factors affecting on the quality of training courses in the industry based on interpretative structural modeling .The research method is case study and the statistical population of the present study consists of human resources managers of industry and education specialists working in the industrial sector, among which 21 were selected as research sample based on purposeful sampling. To assess the validity of the questionnaire, a content validity criterion was used .In this way, the questionnaire was first reviewed by experts in the field of industry and human resources and after the reforms, final factors were formulated .The results of this study showed that 11 factors are considered as the final factors affecting the quality of in-service training courses in industries. The data analysis also led to the leveling of the model to eight levels. The eighth level of the model, including the needs of the learners; Level seventh, the specialty of instructors and course editors, and management and executive support; Sixth level, Continuity of in-service courses; Level five; the suitability of the provided educational content; and the participation of instructors and learners in the design process; fourth level, the relationship of the training with the actual working environment and the quality of the educational equipment The third level is the application of appropriate teaching methods, the second level, the continuous and appropriate assessment of learners, and ultimately the first level, is to stimulate learners in learning.

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.