Designing a Structural-interpretive Model of the Dynamic Capabilities of Information Technology in Small and Medium-sized Companies

Abstract

The aim of the current research is to identify, stratify and analyze the main dimensions and indicators affecting the dynamic capabilities of information technology in small and medium-sized companies using the structural-interpretive modeling (ISM) technique. The dimensions and indicators of the dynamic capabilities of information technology have been identified based on the literature study and content analysis and comparisons of related researches and interviews with experts and specialists, and then, using structural-interpretive modeling, the relationships between the dimensions and indicators of the dynamic capabilities of information technology have been determined as Integrated analysis. Finally, by using MICMAC analysis, the types of variables have been determined according to their influence and effectiveness on other variables. The results show that the variable of digitalization of business processes is among the linked variables and has a high power of influence and dependence. This variable with the greatest influence is considered as the driver and motivator of the dynamic capabilities of information technology in small and medium-sized companies, and any action on this variable causes the change of other variables. Also, measurement variables, resources and competencies and coordination are among the key variables for the development of dynamic capabilities of information technology in small and medium companies. These variables have a great impact on the realization and promotion of dynamic capabilities of information technology in small and medium-sized companies and have high influence and low dependence.

Keywords

• dynamic capabilities of information technology
• structural-interpretive modeling
• small and medium enterprises
• micmac analysis