The Model Policy- making Formulation for social security organization with a Postmodernism Approach (Mixed Research Method)

Subject Areas : ‌Family

motahar ebrahimi ¹ , Hosein Shariat ² , Masoud pourkiani ³

1 - Department of Management, Kerman Branch, Islamic Azad University, Kerman, Iran
2 - Department of Management, Kerman Branch, Islamic Azad University, Kerman, Iran
3 - Department of Management, Kerman Branch, Islamic Azad University, Kerman, Iran

Received: 2017-10-23 Accepted : 2018-03-11 Published : 2018-02-20

Keywords: post-modernism, social security organization, policy- making models,

Abstract :

The aim of the present research is to design the policy-making model in social security organization with post-modernism approach. The research is of the mixed, exploratory type. Therefore, the approach in this research is qualitative- quantitative (mixed). The statistical universe of the first phase (qualitative) and the second phase (quantitative) of the research consisted of academic experts familiar to the literature of social welfare and policy making, and specialists in social security. In the first phase, 23 individuals were selected employing targeted sampling with snowball sampling technique while in the second phase, 30 individuals were selected employing targeted sampling with judge mental sampling technique. In the first phase, data was gathered through questionnaires, instructing essentials and in the form of semi-structured, while in the second phase, it was gathered through half-open questionnaires with 61 items. In the first phase, data was analyzed through lab ling obtained from theorization (data-based), employing Atlasti software. In the second phase, the model test, obtained from the first stage of research was used in the form of modeling structural equations, using PLS software and descriptive statistics, central indexes and the percentage of consensus on model. 93 percent of participants had consensus on the conceptual model of the present research, so that all dimensions of the data-based extracted model were explained.