Understanding why Chinese contractors are not willing to purchase construction insurance
Author(s): |
Junying Liu
Sen Lin Yingbin Feng |
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Medium: | journal article |
Language(s): | English |
Published in: | Engineering, Construction and Architectural Management, March 2018, n. 2, v. 25 |
Page(s): | 257-272 |
DOI: | 10.1108/ecam-08-2016-0186 |
Abstract: |
PurposeConstruction insurance has been advocated as a useful financial means to transfer risks and mitigate potential project losses. However, there is a general reluctance to purchase construction insurance in China. The purpose of this paper is to develop an extended theory of planned behavior (TPB) model to understand and predict contractors’ construction insurance purchasing intention. Design/methodology/approachQuantitative data were collected through a questionnaire survey. The respondents comprise 130 project directors/managers and contract managers/administrators who were involved in or familiar with the construction insurance purchasing or managing. Data were analyzed using structural equation modeling. FindingsThis study developed an extended TPB model to explain the contractors’ intention formation. The results indicated that the insurance purchasing intention was mainly influenced by attitudes and subjective norm, rather than perceived behavioral control. The analyses also revealed that the added variables (risk perception and past experience) had a significant impact on the attitudes and perceived behavioral control. Originality/valueThis study identified the factors leading to Chinese contractors’ low willingness to purchase construction insurance by extending the TPB model to the context of construction insurance purchasing. The extended TPB model may serve as a theoretical framework and basis for the Chinese contractors, insurers, and regulators to understand the root causes of contractors’ low willingness to purchase construction insurance and make joint efforts to address the risks and insurance in the construction industry. |
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10576626 - Published on:
26/02/2021 - Last updated on:
26/02/2021