Factors influencing the intention to use m-commerce in Malaysian: an extended IS success model

The progress of mobile technology has undergone substantial development in recent years, leading to the emergence of new and creative ideas. This paper investigates the factors influencing consumers' intentions to use mobile commerce in Malaysia. The DeLone and McLean updated information system success model served as the basis for this study's proposed model. A convenience sampling method was employed to collect 310 surveys from smartphone owners who conduct mobile commerce activities in Malaysia. A “two-stage structural equation modeling” (SEM) technique assessed the research model and the study's assumptions. The findings revealed that “information quality”, “service quality”, “system quality”, and “trust” significantly influence consumers' “intention to use mobile commerce in Malaysia”. The findings further reveal that “system quality” is the strongest factor influencing the “intention to use mobile commerce in Malaysia”. Therefore, the research outcomes will benefit academicians, researchers, policymakers, and practitioners in the mobile commerce industry in Malaysia. To the best of the authors’ knowledge, this is the first empirical study that expanded the “information system success model” by including “trust” in the context of Malaysian mobile commerce users’ “intentions”. However, further research is recommended to explore the factors influencing consumers' “intention to use mobile commerce in Malaysia”.

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Publication Details

Journal
International Journal of Advances in Applied Sciences
Published
2024-10-17
DOI
https://doi.org/10.11591/ijaas.v13.i4.pp957-969
Citations
2
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
2.10
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article

Factors influencing the intention to use m-commerce in Malaysian: an extended IS success model

Ahasanul Haque, Muhammad Tahir Jan, Moussa Barry
2 citations
International Journal of Advances in Applied Sciences
Technology Adoption and User Behaviour
2.10
article

Factors influencing the intention to use m-commerce in Malaysian: an extended IS success model

Ahasanul Haque, Muhammad Tahir Jan, Moussa Barry
article en
2 citations

Abstract

The progress of mobile technology has undergone substantial development in recent years, leading to the emergence of new and creative ideas. This paper investigates the factors influencing consumers' intentions to use mobile commerce in Malaysia. The DeLone and McLean updated information system success model served as the basis for this study's proposed model. A convenience sampling method was employed to collect 310 surveys from smartphone owners who conduct mobile commerce activities in Malaysia. A “two-stage structural equation modeling” (SEM) technique assessed the research model and the study's assumptions. The findings revealed that “information quality”, “service quality”, “system quality”, and “trust” significantly influence consumers' “intention to use mobile commerce in Malaysia”. The findings further reveal that “system quality” is the strongest factor influencing the “intention to use mobile commerce in Malaysia”. Therefore, the research outcomes will benefit academicians, researchers, policymakers, and practitioners in the mobile commerce industry in Malaysia. To the best of the authors’ knowledge, this is the first empirical study that expanded the “information system success model” by including “trust” in the context of Malaysian mobile commerce users’ “intentions”. However, further research is recommended to explore the factors influencing consumers' “intention to use mobile commerce in Malaysia”.

International Journal of Advances in Applied SciencesVol. 13(4)
International Islamic University Malaysia (MY)
Openalex Percentile: Top 8%
Technology Adoption and User Behaviour
2.10
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Factors influencing the intention to use m-commerce in Malaysian: an extended IS success model — Ahasanul Haque, Muhammad Tahir Jan, et al. · International Journal of Advances in Applied Sciences (2024) | TGRS Research Map | TGRS