Combining fsQCA and PLS-SEM to assess policyholders’ attitude towards life settlements
Dublin Core
Title
Combining fsQCA and PLS-SEM to assess policyholders’ attitude towards life settlements
Subject
Life settlements
fsQCA
PLS-SEM
Technology acceptance mode
fsQCA
PLS-SEM
Technology acceptance mode
Description
Life settlements (LSs) can be considered a novel and innovative financial asset in countries where they are not yet established. This paper aims to assess the attitude (ATT) of policyholders towards participating in LSs in
such countries by evaluating various variables: performance expectancy (PE), expected easiness (EE), social influence (SI), perceived ethical problems (EP), and bad feelings (BF) that may arise from this type of transaction. To achieve this goal, a questionnaire was administered to 89 individuals in Spain who possessed extensive knowledge of financial and insurance matters. The data analysis employed fuzzy set qualitative comparative analysis (fsQCA) as the basis, supplemented by partial least squares-structural equation modelling (PLS-SEM). The fsQCA results enabled the identification of policyholder profiles associated with the acceptance or rejection of LSs. Meanwhile, PLS-SEM provided insights into the net strength and statistical significance of the impact of each variable on ATT. Methodologically, this study demonstrates that fsQCA is valuable in constructing a reliable and concise framework for subsequent PLS-SEM estimation. A significant practical implication of this research is the importance of the interaction between PE and SI in the successful development of LS markets. A positive perception of financial advisors regarding these agreements emerges as a crucial factor in market growth. Moreover, the study reveals that EP and BF may significantly influence resistance towards LSs.
such countries by evaluating various variables: performance expectancy (PE), expected easiness (EE), social influence (SI), perceived ethical problems (EP), and bad feelings (BF) that may arise from this type of transaction. To achieve this goal, a questionnaire was administered to 89 individuals in Spain who possessed extensive knowledge of financial and insurance matters. The data analysis employed fuzzy set qualitative comparative analysis (fsQCA) as the basis, supplemented by partial least squares-structural equation modelling (PLS-SEM). The fsQCA results enabled the identification of policyholder profiles associated with the acceptance or rejection of LSs. Meanwhile, PLS-SEM provided insights into the net strength and statistical significance of the impact of each variable on ATT. Methodologically, this study demonstrates that fsQCA is valuable in constructing a reliable and concise framework for subsequent PLS-SEM estimation. A significant practical implication of this research is the importance of the interaction between PE and SI in the successful development of LS markets. A positive perception of financial advisors regarding these agreements emerges as a crucial factor in market growth. Moreover, the study reveals that EP and BF may significantly influence resistance towards LSs.
Creator
Jorge De Andres-Sanchez , Laura Gonzalez-Vila Puchades
Source
https://www.sciencedirect.com/journal/european-research-on-management-and-business-economics/vol/29/issue/2
Publisher
Elsevier Espana, S.L.U
Date
8 June 2023
Contributor
Sri Wahyuni
Rights
ISSN: 2444-8834
Format
PDF
Language
English
Type
Text
Coverage
Jurnal Internasional European Research on Management and Business Economics 2023
Files
Collection
Citation
Jorge De Andres-Sanchez , Laura Gonzalez-Vila Puchades, “Combining fsQCA and PLS-SEM to assess policyholders’ attitude towards life settlements,” Repository Horizon University Indonesia, accessed February 5, 2025, https://repository.horizon.ac.id/items/show/6849.