Performance And Effort Expectancy As Antecedents Of Mobile Life Insurance Purchase Intention In Zimbabwe

The COVID-19 pandemic severely crippled the traditional face-to-face life insurance distribution model, which dominated the global life insurance market for centuries. Digital distribution channels that life insurers have long ignored now present the only viable alternative. This article assessed consumers’ perceptions of using mobile technology in purchasing life insurance in Zimbabwe. It was underpinned by The Unified Theory of Acceptance and Use of Technology (UTAUT) model. Data were collected from 250 randomly selected customers of a large Zimbabwean life assurance firm using an online, five-point Likert scale questionnaire. Hierarchical multiple linear regression modelling was adopted to evaluate the effects of performance expectancy and effort expectancy on mobile insurance purchase intentions (PI), after controlling for the effects of age and education. The results revealed that customers’ mobile life insurance purchase intentions were significantly influenced by performance expectancy (p

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Publication Details

Journal
International Journal of Mobile Applications and Technologies
Published
2025-05-27
DOI
https://doi.org/10.51137/wrp.ijmat.2025.pgpt.45791
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00
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article

Performance And Effort Expectancy As Antecedents Of Mobile Life Insurance Purchase Intention In Zimbabwe

Stephen Mago, Misheck Diza, Pascal Gubwe
International Journal of Mobile Applications and Technologies
Technology Adoption and User Behaviour
article

Performance And Effort Expectancy As Antecedents Of Mobile Life Insurance Purchase Intention In Zimbabwe

Stephen Mago, Misheck Diza, Pascal Gubwe
article en

Abstract

The COVID-19 pandemic severely crippled the traditional face-to-face life insurance distribution model, which dominated the global life insurance market for centuries. Digital distribution channels that life insurers have long ignored now present the only viable alternative. This article assessed consumers’ perceptions of using mobile technology in purchasing life insurance in Zimbabwe. It was underpinned by The Unified Theory of Acceptance and Use of Technology (UTAUT) model. Data were collected from 250 randomly selected customers of a large Zimbabwean life assurance firm using an online, five-point Likert scale questionnaire. Hierarchical multiple linear regression modelling was adopted to evaluate the effects of performance expectancy and effort expectancy on mobile insurance purchase intentions (PI), after controlling for the effects of age and education. The results revealed that customers’ mobile life insurance purchase intentions were significantly influenced by performance expectancy (p

International Journal of Mobile Applications and TechnologiesVol. 1(1)
Openalex Percentile: Top 88%
Technology Adoption and User Behaviour
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