Providing A Model for the Development Drivers of Knowledge-based Companies in Deprived Areas (Case Study: Sistan and Baluchestan, Hormozgan, Kerman, South Khorasan Provinces)

Subject Areas : Journal of Iranian Social Development Studies

Niki Razazzadeh ¹ , Mojtaba Bazrafshan Moghadam ² , Nour Mohammad Yaghoubi ³ , Aleme Keykha ⁴ , Ebrahim Haddadi ⁵

1 - Department of Public Management, Zahedan Branch, Islamic Azad University, Zahedan, Iran
2 - Associate Professor, Department of Educational Management and Human Resource Development, Ferdowsi University of Mashhad, Mashhad, Iran
3 - Professor, Faculty of Management and Economics, University of Sistan and Baluchestan, Zahedan, Iran
4 - Assistant Professor ,Faculty of Management and Economics, University of Sistan and Baluchestan, Zahedan, Iran
5 - Department of Management, Zahedan Branch, Azad University, Zahedan, Iran

Received: 2021-06-23 Accepted : 2021-06-23 Published : 2021-05-22

Keywords: deprived areas, Development drivers of knowled, Colaizzi's method,

Abstract :

The basic role of knowledge-based companies as the engine of economic development of developing countries is very important in deprived areas which have special capacities. The purpose of this study is to provide a model for the development drivers of knowledge-based companies in deprived areas. The research method used in this research is exploratory mixed method. The statistical population in the qualitative part of this study is the relevant elites including academic elites and science and technology parks and executive elites and bureaucrats of the Iranian administrative system who were engaged in policy making; 13 people were interviewed due to the adequacy of the data. To analyze the interviews, Colaizzi's phenomenological analysis method was used and as a result, the initial model was extracted at two levels, & 41 subcomponents out of 11 components of organizational culture, marketing activities, business space, human resources, technical capability, technology, infrastructures, community culture, supportive policies, legal contexts and knowledge management were identified. In the quantitative section, data were collected from managers of 107 companies among 148 managers of knowledge-based companies in deprived areas by stratified random sampling and a questionnaire was provided to these managers to measure and fit the model. The results of confirmatory factor analysis showed that all components and subcomponents were confirmed.