Analysis of factor Leading to Mobile Commerce Adoption in Semarang City
Article Sidebar
Read Counter : 740
Download : 490
Main Article Content
Abstract
Mobile phones were originally wireless devices for one-on-one voice communication. Mobile commerce has changed the purpose and capabilities of mobile devices. This study aims to examine the factors that enable the adoption of m-commerce in Semarang. The theories used in this research are UTAUT and SERVQUAL as well as the constructs of trust and security. A quantitative approach method based on SEM-PLS was applied. Respondents were drawn from m-commerce users across different platforms in Semarang, Indonesia, through an online questionnaire. The findings of this study found positive and significant evidence of an integrated model with consumers' behavioral intention in utilizing m-commerce. This means that researchers and practitioners can gain a more comprehensive understanding of how consumers respond to m-commerce and what influences their intention to use it. The combination of UTAUT and service quality measured by SERVQUAL can provide valuable insights into optimising consumer experience in m-commerce and increasing the adoption rate of the platform.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Author (s) hold copyrights and retain copyrights of articles if the article is accepted for publishing.
- The author grants the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
- The article and any associated published material are distributed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Public allowed to Share (copy and redistribute the material in any medium or format) and Adapt (remix, transform, and build upon the material) this journal article content.
References
Abdallah, N., Iqbal, H., Alkhazaleh, H., Ibrahim, A., Zeki, T., Habli, M., & Abdallah, O. (2020). Determinants of M-commerce Adoption: An Empirical Study. Journal of Theoretical and Applied Information Technology, 9(9), 1479–1489.
Alaskar, T. H., & Alsadi, A. K. (2023). Drivers of mobile commerce adoption intention by Saudi SMEs during the COVID-19 pandemic. Future Business Journal, 9(1), 1–13. https://doi.org/10.1186/s43093-023-00190-8
Almaududi Ausat, A. M., Suherlan, S., & Peirisal, T. (2021). Analisis Faktor Yang Mempengaruhi Adopsi Mobile Commerce. CogITo Smart Journal, 7(2), 265–277.
Arnold, M. J., & Reynolds, K. E. (2003). Hedonic shopping motivations. Journal of Retailing, 79, 77–95.
Attar, R. W., Almusharraf, A., Alfawaz, A., & Hajli, N. (2022). New Trends in E-Commerce Research: Linking Social Commerce and Sharing Commerce: A Systematic Literature Review. Sustainability, 14(23).
Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological Review, 84(2), 191–215.
Ben Youssef, A., & Dahmani, M. (2023). Examining the Drivers of E-Commerce Adoption by Moroccan Firms: A Multi-Model Analysis. Information, 14(7), 378.
Bhuian, S., & Sharma, S. K. (2017). Predicting Consumer Pro-Environmental Behavioral Intention: The Moderating Role of Religiosity. Review of International Business and Strategy, 27(3), 352–368.
Ciupac-Ulici, M., Beju, D.-G., Bresfelean, V. P., & Zanellato, G. (2022). Which Factors Contribute to the Global Expansion of M-Commerce? Electronics, 12(1), 197.
Dachyar, M., & Banjarnahor, L. (2017). Factors influencing purchase intention towards consumer-to-consumer e-commerce. Intangible Capital, 13(5), 948.
Dakduk, S., Santalla-Banderali, Z., & Siqueira, J. R. (2020). Acceptance of mobile commerce in low-income consumers: evidence from an emerging economy. Heliyon, 6(11), e05451.
Elliott, M. T., Speck, P. S., Elliott, M. T., & Speck, P. S. (2016). Site Factors that Affect Attitude Toward a Retail Web Site. Journal of Marketing Theory and Practice, 13(1), 40–51.
Ghazali, E. M., Mutum, D. S., Chong, J. H., & Nguyen, B. (2018). Do consumers want mobile commerce? A closer look at M-shopping and technology adoption in Malaysia. Asia Pacific Journal of Marketing and Logistics, 30(4), 1064–1086.
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2011). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433.
Han, L., Ma, Y., Addo, P. C., Liao, M., & Fang, J. (2023). The Role of Platform Quality on Consumer Purchase Intention in the Context of Cross-Border E-Commerce: The Evidence from Africa. Behavioral Sciences, 13(5), 385.
Heinze, J., Fischer, P., & Thomann, M. (2017). Ladders to m-commerce resistance: A qualitative means-end approach. Computers in Human Behavior, 73, 362–374.
Hsu, C. W., & Yeh, C. C. (2018). Understanding the critical factors for successful M-commerce adoption. International Journal of Mobile Communications, 16(1), 50–62.
Hung, C.-L., & Chou, J. C.-L. (2014). Examining the cultural moderation on the acceptance of mobile commerce. International Journal of Innovation and Technology Management, 11(2), 1–19.
Jeannot, F., Jongmans, E., & Dampérat, M. (2022). Visual design and online shopping experiences: When expertise allows consumers to refocus on website attractiveness. Recherche et Applications En Marketing (English Edition), 37(1), 59–81.
Kamarudin, F. S. F. (2016). The impact of globalization on the performance of Banks in South Africa. Review of International Business and Strategy, 26(4), 517–542.
Kang, J. M., & Johnson, K. K. P. (2013). How does social commerce work for apparel shopping? Apparel social e-shopping with social network storefronts. Journal of Customer Behaviour, 12(1), 53–72.
Khan, L. M. (2019). The Separation of Platforms and Commerce. Columbia Law Review, 119(4), 973–1098.
Lee, & Jin. (2019). The Role of Ethical Marketing Issues in Consumer-Brand Relationship. Sustainability, 11(23), 6536.
Liu, J., Wang, C., & Xiao, X. (2021). Internet of Things (IoT) Technology for the Development of Intelligent Decision Support Education Platform. Scientific Programming, 2021, 1–12.
Luzak, J., Wulf, A. J., Seizov, O., Loos, M. B. M., & Junuzović, M. (2023). ABC of Online Consumer Disclosure Duties: Improving Transparency and Legal Certainty in Europe. Journal of Consumer Policy, 7, 1–27.
Madan, K., & Yadav, R. (2017). Understanding and predicting antecedents of mobile shopping adoption: a developing country perspective. Asia Pacific Journal of Marketing and Logistics, 3(1), 139–162.
Mollick, J., Cutshall, R., Changchit, C., & Pham, L. (2023). Contemporary Mobile Commerce: Determinants of Its Adoption. Journal of Theoretical and Applied Electronic Commerce Research, 18(1), 501–523.
Ngubelanga, A., & Duffett, R. (2021). Modeling Mobile Commerce Applications’ Antecedents of Customer Satisfaction among Millennials: An Extended TAM Perspective. Sustainability, 13(11), 5973.
Omonedo, P., & Bocij, P. (2017). Potential impact of perceived security, trust, cost and social influence on M-Commerce adoption in a developing economy. World, 7(1), 147–160.
Parasuraman, S., Sam, A., Yee, S. K., Chuon, B. C., & Ren, L. (2017). Smartphone usage and increased risk of mobile phone addiction: A concurrent study. International Journal of Pharmaceutical Investigation, 7(3), 125–131.
Pipitwanichakarn, T., & Wongtada, N. (2021). Leveraging the technology acceptance model for mobile commerce adoption under distinct stages of adoption. Asia Pacific Journal of Marketing and Logistics, 33(6), 1415–1436.
Puiu, S., Demyen, S., Tănase, A.-C., Vărzaru, A. A., & Bocean, C. G. (2022). Assessing the Adoption of Mobile Technology for Commerce by Generation Z. Electronics, 11(6), 866.
Sharma, S. K. (2015). Adoption of e-government services The role of service quality dimensions and demographic variables. Transforming Government: People, Process and Policy, 9(2), 207–222.
Subagja, A. D., Ausat, A. M. A., Sari, A. R., Wanof, M. I., & Suherlan, S. (2023). Improving Customer Service Quality in MSMEs through the Use of ChatGPT. Jurnal Minfo Polgan, 12(2), 380–386.
Sun, J., & Chi, T. (2017). Key factors influencing the adoption of apparel mobile commerce : an empirical study of Chinese consumers. The Journal of The Textile Institute, 5000(October), 0.
Sutrisno, S. (2023). Exploring the Potential of ChatGPT to Improve Customer Service in MSMEs. Innovative: Journal Of Social Science Research, 3(2), 653–664.
Sutrisno, S., Kuraesin, A. D., Siminto, S., Irawansyah, I., & Ausat, A. M. A. (2023). The Role of Information Technology in Driving Innovation and Entrepreneurial Business Growth. Jurnal Minfo Polgan, 12(2), 586–597.
Tarhini, A., Alalwan, A. A., Shammout, A. B., Al-badi, A., Tarhini, A., & Al-badi, A. (2019). An analysis of the factors affecting mobile commerce adoption in developing countries Towards an integrated model. Review of International Business and Strategy, 29(3), 157–179.
Vasileiadis, A. (2014). Security concerns and trust in the adoption of m-commerce. Socialines Technologijos, 4(1), 179–191.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. Forthcoming in MIS Quarterly, 36(1), 157–178.
Wasiq, M., Johri, A., & Singh, P. (2022). Factors affecting adoption and use of M-commerce services among the customers in Saudi Arabia. Heliyon, 8(12), e12532.
Zhou, T., Lu, Y., & Wang, B. (2010). Computers in Human Behavior Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760–767.