Mobile Application and Customer Effort: A Multigroup Analysis Among Energy Customers in Malaysia

This study examines the impact of mobile applications (mobile apps) on customer effort across two main customer categories (residential and business) of a prominent energy provider in Malaysia. A questionnaire survey was administered to 951 respondents selected via stratified sampling, and Partial Least Squares Structural Equation Modelling (PLS-SEM), SmartPLS 4.0, was employed to analyse the data using bootstrapping and multigroup analysis. The results indicate that customer effort was influenced by functionality and design quality. Conversely, social trust and information quality negatively impacted customer effort in both customer categories. The multigroup analysis revealed no substantial variances among all variables on customer effort. These findings can assist energy companies in standardising their mobile app services across various customer segments, thus improving customer experience and satisfaction. Future research can expand the study by including other industries for better generalisability of the findings.

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Publication Details

Journal
International Journal of Industrial Management
Published
2025-12-05
DOI
https://doi.org/10.15282/ijim.19.4.2025.12176
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
0.00

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article

Mobile Application and Customer Effort: A Multigroup Analysis Among Energy Customers in Malaysia

Abdul Rahman Zahari, Elinda Esa
International Journal of Industrial Management
Technology Adoption and User Behaviour
article

Mobile Application and Customer Effort: A Multigroup Analysis Among Energy Customers in Malaysia

Abdul Rahman Zahari, Elinda Esa
article en

Abstract

This study examines the impact of mobile applications (mobile apps) on customer effort across two main customer categories (residential and business) of a prominent energy provider in Malaysia. A questionnaire survey was administered to 951 respondents selected via stratified sampling, and Partial Least Squares Structural Equation Modelling (PLS-SEM), SmartPLS 4.0, was employed to analyse the data using bootstrapping and multigroup analysis. The results indicate that customer effort was influenced by functionality and design quality. Conversely, social trust and information quality negatively impacted customer effort in both customer categories. The multigroup analysis revealed no substantial variances among all variables on customer effort. These findings can assist energy companies in standardising their mobile app services across various customer segments, thus improving customer experience and satisfaction. Future research can expand the study by including other industries for better generalisability of the findings.

International Journal of Industrial ManagementVol. 19(4)
Sultan Haji Ahmad Shah Hospital (MY), Universiti Tenaga Nasional (MY)
Tenaga Nasional Berhad, Universiti Tenaga Nasional
Openalex Percentile: Top 65%
Technology Adoption and User Behaviour
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