Document Type : Original Article (Mixed)
Authors
1
Department of Cultural Management and Planning, Kish International Branch, Islamic Azad University, Kish, Iran.
2
Department of Industrial Design, Tehran West Branch, Islamic Azad University, Tehran, Iran.
3
Department of Archaeology, Izeh Branch, Islamic Azad University, Izeh, Iran.
4
Department of Industrial Design, Yadegar-e-Imam Khomeini (RAH) Branch, Islamic Azad University, Tehran, Iran.
5
Department of Cultural Management, Tehran North Branch, Islamic Azad University, Tehran, Iran.
Abstract
The Present Study aims to develop an organizational flexibility model for the Ministry of Cultural Heritage, Tourism, and Handicrafts. In terms of purpose, this research is applied, and methodologically, it adopts a mixed-methods (qualitative-quantitative) approach. The first phase followed a qualitative approach within the interpretative paradigm based on the thematic analysis strategy. The data collection instrument consisted of semi-structured interviews with 10 purposively selected experts. To validate the model, two strategies of external audit and triangulation were employed. The qualitative findings revealed that the organizational flexibility model in the Ministry of Cultural Heritage, Tourism, and Handicrafts encompasses 7 global themes (human resource work flexibility, structural flexibility, job flexibility, organizational agility, intellectual capital enhancement, organizational learning development, and organizational creativity and innovation development) and 33 organizing themes.In the second phase, to design the quantitative model of organizational flexibility, the statistical population comprised managers and employees of the Ministry of Cultural Heritage, Tourism, and Handicrafts, exceeding 1,500 individuals. Based on Krejcie and Morgan’s table, a sample size of 305 was determined. A researcher-made questionnaire served as the data collection instrument, whose validity was confirmed via face validity and its reliability through Cronbach’s alpha coefficient. Following data collection, statistical data analysis was performed at two levels: descriptive (using indices such as frequency, percentage, and mean) and inferential (confirmatory factor analysis [CFA]) utilizing SPSS 22, LISREL 8.54, and Excel..
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