Dynamic Capabilities

In the technology-driven industries like automotive industry, the success of the companies depends on their ability to provide new and continuous innovations to the market. In this regard, technological capabilities lead to a competitive advantage. The purpose of this study is to identify the effective factors in the technology assessment based on the dynamic capabilities of small and medium automotive supply chains. In this study, by using the principal components analysis (PCA) method, the identification of the important factors according to the views of automotive industry experts has been addressed. The results show that from the perspective of dynamic capabilities, Absorbency and learning, Innovative capability and integration capabilities are the most effective factors. In terms of technology assessment, Processes and organizational structure and level of technology development are the most important factors identified in order to assess the technology of these companies. In addition, in this study, due to the effective factors, a new technology assessment model with dynamic capabilities approach has been proposed and a relevant questionnaire has been developed. The results of reliability analysis show that the proposed questionnaire has an appropriate accuracy and reliability in technology assessment of small and medium automotive supply chain companies.

Due to the rapid changes and developments caused by technology in the digital age and the growing importance of achieving sustainability for the survival of businesses, the need to create the capabilities needed to innovate in the business model of organizations has become inevitable. This research is trying to provide a model for business model innovation with the aim of sustainability by considering the external factor of digitalization (digital transformation) and the internal factor of dynamic capabilities. The method of this research is mixed so that in the first stage the qualitative method of Meta-Synthesis is used and in the second stage the quantitative method of Interpretive Structural Modeling (ISM) is used. In this research, based on the systematic review of previous researches in scientific databases, 402 related articles were identified and then 46 final articles were selected during the screening process. Based on the thematic analysis, a total of 4 main categories and 14 factors were extracted. In the second stage of the research, an interpretive structural model (ISM) is developed to show the inter‐relationship of different factors and their levels of importance in the food industry.   The 8-level hierarchy model of factors influencing the sustainable business model innovation in the digital age with a dynamic capabilities approach was proposed. Results show that a new component called network value has been added to the traditional business model components. Furthermore, the MICMAC approach has been used to categorise factors according to their driving power and dependence. finally, digital technologies and Sensing were found to be the factors with the highest independence and the highest driving power, and “Economic Sustainability” was identified as the factor with the highest dependence and the least driving power

Purpose: Education is one of the important factors of economic and social development and the education industry is one of the largest and most tangible industries in the world. Therefore, the aim of this study was to providing a customer value maturity model based on the dynamic capabilities of educational institutions. Methodology: This study in terms of purpose was applied and in terms of implementation method was qualitative. In this study number of 15 people after checking the inclusion criteria such as work experience of at least 10 years and at least bachelor's education with using the purposive sampling method were selected from among the experts of non-governmental educational institutions of the senior school in Tehran city. The tool of the current research was a semi-structured interview with selected experts, which its validity was confirmed by the triangulation method and its reliability was calculated by the method of the coefficient of agreement between two coding 0.88. Data were analyzed by content analysis method. Findings: The results of the present study indicated that for the customer value maturity model based on the dynamic capabilities of educational institutions were identified number of 268 open codes in 5 core codes or levels, respectively including the analysis the value proposition of customer, definition and design the value proposition of customer, management and expansion the value proposition of customer, implementation and execution the value proposition of customer and evaluation and optimization the value proposition of customer. Therefore, the educational programs in the customer value maturity model based on the dynamic capabilities of educational institutions were drawn at five levels based on the level of maturity and value. Conclusion: According to the identified codes and levels for the customer value maturity model based on the dynamic capabilities of educational institutions can be taken an effective step in the direction of customer value maturity.

Dynamic environments provide sports organizations with various threats and opportunities for optimization and development. This study aims to examine the effect of dynamic capabilities on organizational performance with the mediating role of ambidexterity and digital platforms in the Tehran Municipality Sports Organization. This practical, developmental, and quantitative study was conducted at the Tehran Municipal Sports Organization in Iran. A total of 213 questionnaires were obtained through Google Forms and the data analysis was conducted using SPSS26 and Smart PLS version 4. This study highlights the importance of digital platforms and ambidexterity mediators in the relationship between dynamic capabilities and organizational performance. It also addresses the lack of an effect of technological and market turbulence on the relationship between ambidextrous capabilities and performance. Finally, suggestions for future research are presented.

Objective: “The purpose of this paper was to identify the factors affecting the dynamics of sports business after the COVID-19 pandemic and to find ways to meet the needs of having clear foresight and radical progress in this constantly changing environment.Methods This research was of a qualitative type, using the thematic analysis method. The statistical population includes managers of sports businesses, faculty members of entrepreneurial management faculties, faculty members of physical education and sports science faculties with expertise in entrepreneurship and business management, and members of the employment and entrepreneurship working group of the Ministry of Sports and Youth. We used the snowball sampling method to select the research sample. A total of 19 interviews were conducted and recorded in this study.Findings In this research, six themes were identified: management capabilities with three factors, organizational capabilities with three factors, marketing capabilities with four factors, technological capabilities with two factors, macro level challenges with four factors, and networking capabilities with three factors. Conclusions Considering the extent and importance of sports businesses, as well as the unique features of this type of business, identifying the factors that affect the dynamics can help sports businesses in organizational planning to get out of the crisis.