SYSTEMATIC LITERATURE REVIEW : ANALISIS SISTEMATIS PERAN INFRASTRUKTUR NIRKABEL DALAM TRANSFORMASI EKOSISTEM MOBILE COMMERCE
DOI:
https://doi.org/10.35446/bisniskompetif.v4i2.2419Keywords:
systematic literature review, wireless infrastructure, mobile commerce, digital ecosystem, mobile connectivityAbstract
ecosystem. This study aims to systematically analyze the role of wireless infrastructure in the transformation of the mobile commerce ecosystem using a Systematic Literature Review (SLR) approach. Of the 200 articles obtained, 5 articles met the inclusion criteria and were further analyzed. The rapid development of wireless technology has become a major catalyst in the transformation of the mobile commerce (m-commerce) ecosystem, enabling faster, safer, and more personalized digital transactions. Wireless infrastructure such as 4G, 5G, Wi-Fi, and Internet of Things (IoT) networks play a central role in supporting high connectivity, low latency, and scalability of m-commerce services. However, a comprehensive understanding of the contribution of this infrastructure in a global context remains fragmented. This study presents a systematic literature review (SLR) to analyze the role of wireless infrastructure in the evolution of the m-commerce ecosystem, based on a synthesis of 5 leading scientific studies from 2020 to 2025 drawn from the Scopus database. Through a PRISMA-based methodological approach, this study identifies three main themes: (1) the impact of wireless technology on performance and user experience, (2) implementation challenges including cybersecurity, digital disparity, and infrastructure costs, and (3) integration trends with supporting technologies such as edge computing, AI, and digital payments. The results show that 5G and Wi-Fi 6 are key drivers of m-commerce innovation, particularly in real-time applications such as mobile payments, augmented reality (AR) shopping, and smart logistics. The study also uncovers gaps in infrastructure access in developing regions that hinder digital inclusion. The findings from this SLR provide a conceptual foundation for researchers, technology developers, and policymakers in designing strategies for developing a more inclusive, secure, and sustainable m-commerce ecosystem in the era of high connectivity.
References
Aljohani, N. R. (2023). Utilization of Data Science Analytics on Mobile Commerce Applications Marketing Strategies: An Example of the Influence of Personalized Offers on the Usage Intentions of Saudi Consumers. International Journal of Interactive Mobile Technologies (iJIM), 17(20), 72–87. https://doi.org/10.3991/ijim.v17i20.34968
Rîndas, S.-M., Ionescu, B.-S., & Ionescu-Feleagă, L. (2022). Post-Pandemic M-Commerce—Leveraging Users’ Review Comments to Enhance Mobile Grocery-Shopping Applications (MGSAs). Electronics, 11(17), 2653. https://doi.org/10.3390/electronics11172653
Cui, Y., Xiao, W., & Zhang, X. (2021). Application of Mobile Big Data and Artificial Intelligence in the Efficiency of E-Commerce Industry. Mobile Information Systems, 2021, 1–10. https://doi.org/10.1155/2021/5587605
Chotipanichkul, T., Cooharojananone, N., & Khlaisang, J. (2020). E-Commerce Competence Assessment Mobile Application Development for SMEs in Thailand. International Journal of Interactive Mobile Technologies (iJIM), 14(11), 67–74. https://doi.org/10.3991/ijim.v14i11.11358
Salameh, A. A., Abu-AlSondos, I. A., Ali, B. J. A., & Alsahali, A. F. (2020). From Citizens Overview: Which Antecedents’ Can Assist to Increase Their Satisfaction Towards the Ubiquity of Mobile Commerce Applications? International Journal of Interactive Mobile Technologies (iJIM), 14(17), 41–55.
Ahn, J.; Williamson, J.; Gartrell, M.; Han, R.; Lv, Q.; Mishra, S. Supporting healthy grocery shopping via mobile augmented reality. ACM Transactions on Multimedia Computing, Communications, and Applications 2015, 12, 1–24. https://doi.org/10.1145/2818375
Alaimo, L.S.; Fiore, M.; Galati, A. Measuring consumers’ level of satisfaction for online food shopping during COVID-19 in Italy using POSETs. Socio-Economic Planning Sciences 2022, 82, 101064. https://doi.org/10.1016/j.seps.2021.101064
Blanke, J.; Billieux, J.; Vögele, C. Improving food shopping behaviour: A model-based review of mobile applications to assist with healthy and sustainable grocery shopping. Computers in Human Behavior Reports 2021, 4, 100147. https://doi.org/10.1016/j.chbr.2021.100147
Cao, P. Big data in customer acquisition and retention for eCommerce – taking Walmart as an example. In Proceedings of the 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021); Atlantis Press: Beijing, China, 2021; pp. 259–262. https://doi.org/10.2991/assehr.k.211209.043
Cui, Y.; Mou, J.; Cohen, J.; Liu, Y.; Kurcz, K. Understanding consumer intentions toward cross-border m-commerce usage: A psychological distance and commitment-trust perspective. Electronic Commerce Research and Applications 2020, 39, 100920. https://doi.org/10.1016/j.elerap.2019.100920
De Marez, L.; Verleye, G. Innovation diffusion of mobile services: An empirical analysis of the adoption of mobile entertainment. International Journal of Mobile Communications 2004, 2, 1–18. https://doi.org/10.1504/IJMC.2004.003461
Eriksson, E.; Norrman, A.; Kembro, J. Understanding the transformation toward omnichannel logistics in grocery retail: A multiple case study. Telematics and Informatics 2022, 71, 101839. https://doi.org/10.1016/j.tele.2022.101839
Groen, E.C.; Kopczyńska, S.; Hauer, M.P.; Krafft, T.D.; Doerr, J. Users—the hidden software product quality experts?: A study on how app users report quality aspects in online reviews. In Proceedings of the 2017 25th IEEE International Requirements Engineering Conference (RE), Lisbon, Portugal, 4–8 September 2017; pp. 80–89. https://doi.org/10.1109/RE.2017.33
Hassan, S.; Tantithamthavorn, C.; Bezemer, C.P.; Hassan, A.E. Studying the dialogue between users and developers of free apps. Empirical Software Engineering 2018, 23, 1344–1374. https://doi.org/10.1007/s10664-017-9549-1
Hillman, S.; Neustaedter, C.; Bowes, J.; Antle, A. Trust in mobile social networks: An interdisciplinary review. Personal and Ubiquitous Computing 2012, 16, 1031–1044. https://doi.org/10.1007/s00779-011-0454-3
Khalid, H.; Shihab, E.; Nagappan, M.; Hassan, A.E. What do mobile app users complain about? IEEE Software 2014, 32, 70–77. https://doi.org/10.1109/MS.2014.102
Kim, H. Use of Mobile Grocery Shopping Application: Motivation and Decision-Making Process among South Korean Consumers. Journal of Theoretical and Applied Electronic Commerce Research 2021, 16, 2672–2693. https://doi.org/10.3390/jtaer16070154
Downloads
Published
Versions
- 2025-09-13 (2)
- 2025-09-13 (1)







