Analysis of Factors that Influence the Acceptance of Using Online Retail Applications: A Case Study of XYZ Wholesale and Retail Stores

Authors

  • Suci - Inayah Universitas Indonesia
  • Dana Indra Sensuse Universitas Indonesia
  • Sofian Lusa Universitas Indonesia

DOI:

https://doi.org/10.32736/sisfokom.v13i1.2051

Keywords:

online retail applications, UTAUT2, PLS-SEM, user acceptance

Abstract

E-commerce users in Indonesia continue to increase along with advances in digitalization. This causes a trend to occur where many offline shop entrepreneurs are responding to changes in consumer behavior by creating online shopping applications to maintain the existence of their business to be consistent with time progress. The purpose of this research is to find out what factors affect user acceptance of online retail applications used for online shopping at XYZ stores using the UTAUT2 acceptance model. In line with changes, case studies were conducted on grocery stores and retail stores that carried out digital innovation by creating online retail applications for their consumers. The research was conducted using a mixed method, data was collected through interviews with sources and using a questionnaire spread to 149 research sample consumers. The data processing technique uses PLS-SEM with SmartPLS tools. The research results show that 4 factors influence the use of online retail applications, including hedonic motivation, habit, behavioral intention, and application use. The results of this research can be used as material for management considerations to increase the excellence of the application so that user interest in online shopping using the application at XYZ store increases

References

We Are Social and Hootsuite. 2023. Digital Data Indonesia 2023.

Prihastomo, Y., Meyliana, Hidayanto, AN, & Prabowo, H. The Key Success Factors in E-Marketplace Implementation: A Systematic Literature Review. Proceedings of 2018 International Conference on Information Management and Technology , ICIMTech 2018, pp. 443–448. 2018.

Hagen, D., Spierings, B., Weltevreden, J., Risselada, A., & Atzema, O.. What drives consumers to use local online retail platforms? The influence of non-place-specific and place-specific motives. Journal of Retailing and Consumer Services, 2023, 77. 2023.

Rosa, A., Iisnawati, I., & Daud, I. Key Factors Analysis of E-Commerce and Marketplace Purchasing Decision in Palembang. Sriwijaya International Journal of Dynamic Economics and Business , 2(4), pp. 347. 2019.

Gheni AY, Jusoh YY, Jabar MA, Ali NM. The Critical Success Factors (CSFs) for IT Projects. Journal of Telecommunication, Electronic and Computer Engineering. 9(3-3), pp. 13-17. 2017.

Regulation of the Minister of Trade of the Republic of Indonesia. Regulation of the Minister of Trade of the Republic of Indonesia Number 31 of 2023 concerning Business Licensing, Advertising, Guidance, and Supervision of Business Actors in Trading Through Electronic Systems. 3, 1–14. 2023

Information, THAI Platform Or Wholesale? A Strategic Tool For Online Retailers To Benefit From. 41(3), 763–786. 2017

Kuzman, B., Prdic, N., & Dobras, Z. The importance of the wholesale markets for trade in agricultural products. Poljoprivrede Economics, 64(3), 1177–1190. 2017.

Hagen, D., Spierings, B., Weltevreden, J., Risselada, A., & Atzema, O. Journal of Retailing and Consumer Services What drives consumers to use local online retail platforms? The influence of non-place-specific and place-specific motives. Journal of Retailing and Consumer Services, 77(November 2023), 103649. 2024.

Nasir M. Evaluation of Student Information Technology Acceptance in Palembang Using the UTAUT Model. National Seminar on Information Technology Applications (SNATI), 12, 36–40. 2013.

Aeni Hidayah, N., Hasanati, N., Novela Putri, R., Fiqry Musa, K., Nihayah, Z., & Muin, A. Analysis Using the Technology Acceptance Model (TAM) and DeLone McLean Information System (DM IS ) Success Model of AIS Mobile User Acceptance. 2020 8th International Conference on Cyber and IT Service Management, CITSM 2020.

Kalia, P., Kaur, N., & Singh, T. A Review of Factors Affecting Online Buying Behavior. Apeejay Journal of Management & Technology, 11(2), 49. 2018.

Bajdor, P. Simulations of the relationship between the experience level of e-commerce customers and the adopted variables - Implications for management in the area of online shopping. Procedia Computer Science, 192, 2576–2585. 2021.

LI, J., & Guo, X. Global Deployment Mappings and Challenges of Contact-tracing Apps for COVID-19. SSRN Electronic Journal, 1–7. 2020.

Melović, B., Šehović, D., Karadžić, V., Dabić, M., & Ćirović, D. Determinants of Millennials' behavior in online shopping – Implications on consumers' satisfaction and e-business development. Technology in Society, 65. 2021.

Hair JE., Ringle CM., Sarstedt M. PLS-SEM : Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), pp. 139–151. 2011.

Hair, Joseph F., Risher, J.J., Sarstedt, M., & Ringle, C.M. When to use and how to report the results of PLS-SEM. European Business Review, 31(1), pp. 2–24. 2019.

Gutabaga Hugilo, G., & Budiyanto Setyohadi, D. Journal of Internet Banking and Commerce Factors Influencing Acceptance Of Online Shopping In Tanzania Using UTAUT2. Journal of Internet Banking and Commerce, 25(1), pp. 78-92. 2020.

Tak, P., & Panwar, S. Using UTAUT 2 model to predict mobile app-based shopping: evidence from India. Journal of Indian Business Research, 9(3), pp. 248–264. 2017.

Venkatesh, V., Morris, MG, Davis, GB, & Davis, FD User Acceptance of Information: Toward a Unified View. MIS Quarterly, 27(3), pp. 425–478. 2012.

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Published

2024-02-15

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