Investigating the intention of purchasing private pension scheme based on an integrated FBM-UTAUT model: The case of China

Wu, Guo and Gong, Jiaying 2023. Investigating the intention of purchasing private pension scheme based on an integrated FBM-UTAUT model: The case of China. Frontiers in Psychology 14 , 1136351. 10.3389/fpsyg.2023.1136351

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Abstract

The newly established private pension scheme in China has received great attention as it would be an important supplement to China’s social safety net and corporate annuity amid an aging population. It provides a way of helping to address the challenge of ensuring adequate retirement income, and the scheme is expected to grow significantly in the coming years. This study investigates factors affecting the intention of purchasing the private pension scheme using a conceptual model based on the integration of Fogg Behavioral Model (FBM) and Unified Theory of Acceptance and Use of Technology (UTAUT) model. The questionnaire-based data from a sample of 462 respondents had been analyzed. Both exploratory factor analysis and confirmatory factor analysis were used to assess validity. The hypothesized relationships in the integrated FBM-UTAUT model were tested using structural equation modeling. The research findings indicate that anticipation, social influence, effort expectancy, performance expectancy, side benefits and facilitating conditions have significant positive impacts on intention to purchase. According to the exploratory factor analysis, the integrated FBM-UTAUT model can explain more than 70% of the total variance. Meanwhile, effort expectancy can be affected by time effort, thought effort and physical effort collectively, while performance expectancy can be affected by risk and trust. It is revealed that the integrated FBM-UTAUT model can be effective in explaining purchase intentions in a private pension scheme context, and this study is expected to offer helpful advice on the design of pension products and the reform of pension policies.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Business (Including Economics)
Publisher:	Frontiers Media
ISSN:	1664-1078
Date of First Compliant Deposit:	3 April 2023
Date of Acceptance:	15 February 2023
Last Modified:	02 May 2023 18:08
URI:	https://orca.cardiff.ac.uk/id/eprint/158343

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