مجله علوم پزشکی صدرا (Apr 2024)

Designing an Entrepreneurial Model Using Organizational Learning and Structural Equation Modeling: A Case Study of the Iran Health Insurance Organization

  • Shahrzad Inanloo,
  • Ali Mehdizadeh Ashrafi,
  • Majid Jahangirfard

DOI
https://doi.org/10.30476/smsj.2024.98850.1414
Journal volume & issue
Vol. 12, no. 2
pp. 275 – 286

Abstract

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Introduction: This study aimed to develop a learning-based model of organizational entrepreneurship, utilizing structural equation modeling, within the context of Iran’s health insurance organization.Methods: The study’s statistical population consisted of all managers and employees of the Iran Health Insurance Organization, estimated to be 500 individuals. Using the Cochran equation, 217 individuals were randomly selected as a statistical sample. Data was collected via a researcher-made questionnaire consisting of 86 items. Thirty experts confirmed the questionnaire’s face and content validity, and its reliability exceeded 0.7 in a preliminary test with 30 subjects across all variables under investigation. Descriptive statistics methods were employed for data analysis using SPSS version 22 software, while inferential statistics were conducted using structural equation modeling in Smart PLS version 2 software.Results: The study’s findings showed that causal factors significantly influence the central phenomenon and that the background factors, the central phenomenon, and intervening factors all impact the strategies employed. Furthermore, these organizational strategies influence the consequences. Specifically, an increase of 1 unit in strategies results in an increase of 0.919 in consequences.Conclusion: Based on the results obtained, it can be inferred that organizational learning enhances creativity and fosters the generation of knowledge and new ideas. Therefore, it is crucial to consider the impact of causal factors on the central phenomenon, the role of contextual factors, and the influence of intervening factors on strategies, which subsequently affect the consequences.

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