Application of planned behavior model in explaining micro-savings behavior

Document Type : Research Paper

Authors

1 Graduate of Business Management, Faculty of Management and Economics, Tehran Branch of Science and Research, Islamic Azad University, Tehran, Iran.

2 Professor of Business Management, Faculty of Management and Economics, Science and Research Branch, Islamic Azad University, Tehran, Iran. (Corresponding Author)

3 Professor of statistics, Department of Mathematical Science and Computer, Faculty of Economics, Allameh Tabataba’i University, Tehran, Iran

Abstract

Introduction: Research on explaining behavior with respect to psychological variables is important for researchers; therefore; The purpose of this study is to Application of planned behavior model in explaining micro-savings behavior.
Methods: This study is applied in terms of purpose and in terms of descriptive-survey nature and in terms of cross-sectional time. Data collection was done in two ways: library and field. After removing incomplete and discarded samples, 161 samples were analyzed, which according to Halinsky and Flort in this study has reached the adequacy of the sample. A questionnaire was used to collect the desired information. The initial questionnaire was provided to 15 experts to assess the validity and reliability and was used after ensuring the validity and reliability. Structural equation modeling (SEM) and partial least squares (PLS) method and SmarPLS software were used to analyze the data.
Results: The results showed that the GOF‌ criterion for the overall model fit was calculated to be 0.69, which indicates a strong fit of the model. Also, based on the standardized root mean square index (SRMR), which has recently been preferred, the acceptable fit of this model has been confirmed.
Conclusion: It seems that using the planned behavior model in explaining micro-savings behavior in order to identify and strengthen the factors affecting micro-savings behavior is useful and effective.

Keywords

medical journal of mashhad university of medical sciences
Volume 63, Special Psychology
Special Psychology
May and June 2020

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