An Exploratory Study of the Factors Influencing Consumer Behavior in Adopting Free Wi-Fi Services in Yogyakarta: An Approach Based on the Technology Acceptance Model (TAM)

Authors

  • Muhammad Sofiyudin Universitas Nahdlatul Ulama Yogyakarta
  • Budi Sutiono Pratama Nugraha Universitas Nahdlatul Ulama Yogyakarta

DOI:

https://doi.org/10.55681/sentri.v4i7.4252

Keywords:

Free Wi-Fi, Perceived Ease of Use, Perceived Usefulness, SEM PLS, Security Concerns, Social Influence, Technology Adoption

Abstract

This study aims to analyse the factors influencing consumer behavior in adopting free Wi-Fi services in the city of Yogyakarta. The adoption of technology, particularly free Wi-Fi, is a crucial issue in the context of smart cities and enhancing public access to information. This research employs the Technology Acceptance Model (TAM) to explore the impact of perceived usefulness (PU) and perceived ease of use (PEOU) on intention to use, as well as how security concerns and social influence moderate these relationships. The research methodology utilizes Structural Equation Modelling (SEM) with Partial Least Squares (PLS) technique. Data was collected through a survey involving 100 respondents who are users of free Wi-Fi services at various strategic locations in Yogyakarta. The results indicate that perceived usefulness (PU) and perceived ease of use (PEOU) have a significant positive impact on users' intention to adopt free Wi-Fi, while security concerns are found to be a significant inhibitory factor. Additionally, social influence plays a role in enhancing the intention to use free Wi-Fi, although with a smaller effect. This study contributes to the understanding of consumer behavior in adopting free Wi-Fi technology and can serve as a reference for public policy development related to Wi-Fi infrastructure in major cities, particularly in Indonesia.

Downloads

Download data is not yet available.

References

Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.

APJII. (2024). Laporan Survei Internet APJII 2024: Penetrasi & Perilaku Pengguna Internet Indonesia. Asosiasi Penyelenggara Jasa Internet Indonesia. https://apjii.or.id/survei

Choi, M., & Kim, S. (2015). The adoption of public Wi-Fi: Exploring the roles of perceived service quality, perceived security, and user demographics. Telecommunications Policy, 39(9), 706–719. https://doi.org/10.1016/j.telpol.2015.07.001

Choi, M., & Kim, Y. (2015). Factors influencing the intention to use public Wi-Fi: An empirical study in South Korea. Telematics and Informatics, 32(2), 345–355. https://doi.org/10.1016/j.tele.2014.09.005

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Dinas Komunikasi dan Informatika Kota Yogyakarta. (2023). Data titik akses Wi-Fi publik di Kota Yogyakarta. Yogyakarta: Diskominfo.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Prentice Hall.

Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Thousand Oaks, CA: SAGE Publications.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

Hsu, C. L., Lin, J. C. C., & Tang, Y. C. (2016). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(6), 1182–1191.

Hsu, C. L., Lin, J. C. C., & Tang, Y. C. (2016). Why users are willing to pay for social networking services. Online Information Review, 40(3), 354–375. https://doi.org/10.1108/OIR-10-2015-0335

Kim, H. W., Chan, H. C., & Gupta, S. (2011). Value-based adoption of mobile internet: An empirical investigation. Decision Support Systems, 43(1), 111–126. https://doi.org/10.1016/j.dss.2005.05.009

Kim, S., Park, E., & Choi, B. (2011). A study on the impact of Wi-Fi service quality on customer satisfaction and reuse intention. Journal of Information Systems, 20(1), 45–60.

Kotler, P., & Keller, K. L. (2016). Marketing management (15th ed.). Pearson Education.

Kwon, H. S., & Wen, Y. (2010). An empirical study of the factors affecting social network service use. Computers in Human Behavior, 26(2), 254–263. https://doi.org/10.1016/j.chb.2009.04.011

Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222. https://doi.org/10.1287/isre.2.3.192

Park, E., Kim, H., & Kwon, S. J. (2014). Social influence on consumers' usage intention of mobile media: Empirical study on Korean youth. Computers in Human Behavior, 36, 354–362.

Park, N., Roman, R., Lee, S., & Chung, J. E. (2014). User acceptance of a digital library system in developing countries: An application of the Technology Acceptance Model. International Journal of Information Management, 24(6), 473–486. https://doi.org/10.1016/j.ijinfomgt.2004.08.001

Schiffman, L. G., & Kanuk, L. L. (2010). Consumer behavior (10th ed.). Pearson Education.

Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926

Zhou, T. (2008). Exploring mobile user acceptance based on TAM model: A case study in China. Computer Science and Information Technology, 5(5), 31–35.

Zhou, T. (2008). Exploring mobile user acceptance based on UTAUT and contextual offering. Proceedings of the 2008 International Symposium on Electronic Commerce and Security, 241–245. https://doi.org/10.1109/ISECS.2008.131

Downloads

Published

2025-07-29

How to Cite

Sofiyudin, M., & Nugraha, B. S. P. (2025). An Exploratory Study of the Factors Influencing Consumer Behavior in Adopting Free Wi-Fi Services in Yogyakarta: An Approach Based on the Technology Acceptance Model (TAM). SENTRI: Jurnal Riset Ilmiah, 4(7), 470–487. https://doi.org/10.55681/sentri.v4i7.4252