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The Role of Perceived Ease of Use, Perceived Usefulness, Attitude Towards Using, and Compatibility on E-Money Usage Intention: Study At Jombang, Indonesia

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DOI: 10.18535/sshj.v9i02.1642· Pages: 6739-6759· Vol. 9, No. 02, (2025)· Published: February 12, 2025
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Abstract

This study aims at testing and analyzing the influence of perceived ease of use, perceived usefulness, and attitude towards using on behavioral intention to use e money and moderated by compatibility. The population of this study is customers from a café in Jombang, Indonesia. Purposive sampling is the sampling technique used in this study, with the criteria Navila Café & Resto Jombang’s customers who directly visited during the study. This study uses physical questionnaire to collect data. The total number of respondents is 113 people. This study uses SEM-PLS as data analysis technique, while the analysis tool is Smart PLS 4. The finding of this study reveals, first, perceived ease of use gives positive significant influence towards perceived usefulness. Second, perceived ease of use gives positive significant influence towards attitude towards using. Third, perceived usefulness gives positive significant influence towards attitude towards using. Fourth, perceived usefulness has complementary mediation effect between perceived ease of use and attitude towards using. Fifth, attitude towards using gives positive significant influence towards behavioral intention to use. Sixth, compatibility doesn’t have moderation effect between attitude towards using and behavioral intention to use.  

Keywords

Diffusion Innovation Theory (DIT)Technology Acceptance Model (TAM)digital payment

References

  1. Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 299-415.Google Scholar ↗
  2. 1002/hbe2.195Google Scholar ↗
  3. Al Hakim, R. R. (2022). Daily Behavior and Demographic Profile Affect Electricity Bill Increase During Covid-19 in Indonesia: SEM-PLS Approach. AKUA: Journal of Accounting and Finance, 1(1), 68-76. https://doi.org/10.54259/akua.v1i1.217DOI ↗Google Scholar ↗
  4. Al-Rahmi, W. M., Yahaya, N., Aldraiweesh, A. A., Alamri, M. M., Aljarboa, N. A., Alturki, U., Aljeraiwi, A. A. (2019). Integrating Technology Acceptance Model With Innovation Diffusion Theory: An Empirical Investigation on Students' Intention to Use E-Learning Systems. IEEE Access, 7, 26797-26809.Google Scholar ↗
  5. 1109/ACCESS.2019.2899368Google Scholar ↗
  6. Aristio, A. P., Supardi, S., Hendrawan, R. A., Hidayat, A. A. (2019). Analysis on Purchase Intention of Indonesian Backpackers in Accommodation Booking through Online Travel Agent. Procedia Computer Science, 161,885-893. https://doi.org/10.1016/j.procs.2019.11.196DOI ↗Google Scholar ↗
  7. Assaker, A. (2019). Age and gender differences in online travel reviews and user generated-content (UGC) adoption: extending the technology acceptance model (TAM) with credibility theory. Journal of Hospitality Marketing & Management, 29(4),428-449. https://doi.org/10.1080/19368623.2019.1653807DOI ↗Google Scholar ↗
  8. Astari, A. A. E., Yasa, N. N. K., Sukaatmadja, I. P. G., Giantari, I. G. A. K. (2022). Integration of technology acceptance model (TAM) and theory of planned behavior (TPB): An e-wallet behavior with fear of covid-19 as a moderating variable. International Journal of Data and Network Science, 6(4), 1427–1436.Google Scholar ↗
  9. 5267/j.ijdns.2022.5.008Google Scholar ↗
  10. Aulifin & Dewi (2022). Analisis Penerimaan Penggunaan ShopeePay Sebagai Sistem Pembayaran Elektronik Menggunakan Technology Acceptance Model (TAM) di Wilayah Kota Bogor. Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi), 6 (1)Google Scholar ↗
  11. Buabeng-Andoh, Charles & Baah, Charles (2020). Pre-service teachers' intention to use learning management system: an integration of UTAUT and TAM. Interactive Technology and Smart Education, 17(4), 455-474. https://doi.org/10.1108/ITSE-02-2020-0028DOI ↗Google Scholar ↗
  12. Candy, Shellyna, Justyanita, Kristianti, N. (2022). E-wallet Adoption: Technology Acceptance Model and COVID-19. Journal of Economic Innovation, 7(1), 91- 100. https://doi.org/10.22219/jiko.v7i01.20385DOI ↗Google Scholar ↗
  13. Chawla, D. & Joshi, H. (2019). Consumer attitudes and intention to adopt mobile wallets in India – An empirical study. International Journal of Bank Marketing, 37(7), 1590-1618. https://doi.org/10.1108/IJBM-09-2018-0256DOI ↗Google Scholar ↗
  14. Davis, F. (1989). User Acceptance of Information Systems: The Technology Acceptance Model (TAM). University of Michigan, School of Business Administration, Division of Research. https://quod.lib.umich.edu/b/busadwp/images/b/1/4/b1409190.0001.001.pdfGoogle Scholar ↗
  15. Elhajjar, S. & Ouaida, F. (2019). An analysis of factors influencing mobile banking adoption. International Journal of Bank Marketing, 38(2), 352-367. https://doi.org/10.1108/IJBM-02-2019-0055DOI ↗Google Scholar ↗
  16. Hadianti, S., Nurlela, S., Sungkar, H., Rifai, A., Dewi, R. K., Kurniawari, L. (2020). Analysis of Technology Acceptance Model of Ilmukomputer.Com Website Acceptance on Informatics Engineering Students. Journal of Information and Applied Technology (J-TIT), 7(1), 33-38Google Scholar ↗
  17. Hair, J.F., Hult, G.T.M., Ringle, C.M. & Sarstedt, M. (2017) A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) 2nd Edition. Publisher Sage Publications Inc., Thousand Oaks, CAGoogle Scholar ↗
  18. Haji, L., Valizadeh, N., Rezaei-Moghaddam, K., Hayati, D. (2020). Analyzing Iranian Farmers' Behavioral Intention towards Acceptance of Drip Irrigation Using Extended Technology Acceptance Model. Journal of Agricultural Science and Technology, 22(5), 1177-1190.Google Scholar ↗
  19. 1001.1.16807073.2020.22.5.15.9Google Scholar ↗
  20. Hamid, M. R. Ab., Sami, W., Sidek, M. H. Mohmad (2017). Discriminant Validity Assessment: Use of Fornell & Larcker criterion versus HTMT Criterion. Journal of Physics: Conference Series, 890, 1-5. DOI: 10.1088/1742- 6596/890/1/012163DOI ↗Google Scholar ↗
  21. Han, J. H. & Sa, H. J. (2021). Acceptance of and satisfaction with online educational classes through the technology acceptance model (TAM): the COVID‐19 situation in Korea. Asia Pacific Education Review, 23, 403-415. https://doi.org/10.1007/s12564-021-09716-7DOI ↗Google Scholar ↗
  22. Harun, N. B., Jalil, H. A., Zolkepli, M. (2022). Technological, organizational and environmental factors influencing user intention towards big data technology adoption in Malaysian educational organizations. Accounting, 8, 403- 408. 10.5267/j.ac.2022.6.002DOI ↗Google Scholar ↗
  23. Ho, J. C., Wu, C., Lee, C., Pham, T. (2020). Factors influencing the behavioral intention to adopt mobile banking: An international comparison. Technology in Society, 63, 101360. https://doi.org/10.1016/j.techsoc.2020.101360DOI ↗Google Scholar ↗
  24. Idrus, S. A., Abdussakir, & Djakfar, M. (2020). The effect of entrepreneurial orientation and technology orientation on market orientation with education as moderating variable. Management Science Letters, 10(10), 164-174Google Scholar ↗
  25. Irawati, A. E., Suhartono, E. (2020). Analysis of Technology Acceptance Model of LinkAja Application. Journal of Economic and Business Research, 13(3), 2351-2360. 10.5267/j.msl.2020.2.030DOI ↗Google Scholar ↗
  26. Isrososiawan, S., Hurriyati, R., Dirgantari, P. D. (2019). Technology Acceptance Model (TAM) toward "Dana" E-Wallet Customer. Minds Journal: Management, Ideas, Inspiration, 6(2), 181-192.Google Scholar ↗
  27. 24252/minds.v6i2.11274Google Scholar ↗
  28. Jiang, Y., Wang, X., Yuen, K. F. (2021). Augmented reality shopping application usage: The influence of attitude, values, and characteristics of innovation. Journal of Retailing and Consumer Services, 63, 102720. https://doi.org/10.1016/j.jretconser.2021.102720DOI ↗Google Scholar ↗
  29. Kamal, S. A., Shafiq, M., Kakria, P. (2020). Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM). Technology in Society, 60. 101212. https://doi.org/10.1016/j.techsoc.2019.101212DOI ↗Google Scholar ↗
  30. Khiong, K., Arijanto, R., Mulyandi, M. R., Putra, R. S., Siagian, A. O., Wijoyo, H., Purwanto, A., Fahmi, K. (2022). The Role of Compatibility, Perceived Usefulness, Convenience Perception and Convenience Perception on Electronic Money (e-Wallet) Usage Interest. Journal of Positive School Psychology. 6(5), 6281-6286Google Scholar ↗
  31. Kim, T., Suh, Y. K., Lee, G., & Choi, B. G. (2010). Modeling Roles of Task- technology Fit and Self-efficiency in Hotel Employees Usage Behaviors of Hotel Information Systems. International Journal of Tourism Research. 12, 709-725. 10.1002/jtr.787DOI ↗Google Scholar ↗
  32. Kota, T. P., Kusumastuti, S. Y. (2020). Analysis of the Influence of Customer Interest in Using Mobile Banking Using the Technology Acceptance Model (TAM) Framework. e-Journal of Economic Appreciation, 10(3), 276-288Google Scholar ↗
  33. Kustini, Izaak, W. C., Rini, H. P. (2020). The Influence of Readiness to Change and Proactive Behavior on Performance. Bisma: Journal of Business and Management, 14(3), 180-190. 10.5267/j.ac.2022.6.002DOI ↗Google Scholar ↗
  34. Marivan, S. A., Kurniawati, Masnita, Y. (2022). The Credibility of Social Media Influencer Marketing on Purchase Interest: Hedonism as Moderation. Scientific Journal of Management and Business, 23(2), 130-145. http://dx.doi.org/10.30596/jimb.v23i2.11304DOI ↗Google Scholar ↗
  35. Min, S., So, K. K. F, Jeong, M. (2018). Consumer adoption of the Uber mobile application: Insights from diffusion of innovation theory and technology acceptance model. Journal of Travel & Tourism Marketing, 36(7), 770-783. 10.1080/10548408.2018.1507866DOI ↗Google Scholar ↗
  36. Musyaffi, A. M. & Kayati (2019). Impact of Convenience and Risk of QR Code Payment System: Technology Acceptance Model (TAM) Extension. Journal of Business and Management Inspiration, 3(2), 161-176. http://dx.doi.org/10.21831/jitp.v6i2.26232DOI ↗Google Scholar ↗
  37. Na, S.; Heo, S.; Han, S.; Shin, Y.; Roh, Y (2022). Acceptance Model of Artificial Intelligence (AI)-Based Technologies in Construction Firms: Applying the Technology Acceptance Model (TAM) in Combination with the Technology–Organization–Environment (TOE) Framework. Buildings 2022, 12, 90. https://doi.org/10.3390/buildings12020090DOI ↗Google Scholar ↗
  38. Pramudya, R. B. & Firmialy, S. D. (2022). The Influence of Customer Satisfaction on Brand Loyalty in Coffee Shops: A Comparative Study of Generation Z Individuals Exhibiting High Vs Low Financial Literacy. SEIKO : Journal of Management & Business, 4(3), 589-597. DOI: 10.37531/sejaman.v4i3.346DOI ↗Google Scholar ↗
  39. Purwanto, A. & Wulanningtyas, M. E. (2022). Structural Analysis of Equation Model in the Study of Factors Affecting Students' Mathematics Learning Outcomes. IKA Journal: UNARS PGSD Alumni Association, 12(2), 237-246.Google Scholar ↗
  40. https://doi.org/10.36841/pgsdunars.v10i2DOI ↗Google Scholar ↗
  41. Rahmawati, R. N. & Narsa, I. M. (2019). Intention to Use e-Learning: Application of Technology Acceptance Model (TAM). Research & Accounting Journal, 3(2), 260-269. https://doi.org/10.33395/owner.v3i2.151DOI ↗Google Scholar ↗
  42. Sholihin, M. & Ratmono, D. (2020). Analisis SEM-PLS dengan WarPLS 7.0 untuk Hubungan Nonlinier dalam Penelitian Sosial dan Bisnis. Penerbit ANDIGoogle Scholar ↗
  43. Singh, N., Sinha, N. (2019). How perceived trust mediates merchant's intention to use a mobile wallet technology. Journal of Retailing and Consumer Services, 52, 11. https://doi.org/10.1016/j.jretconser.2019.101894DOI ↗Google Scholar ↗
  44. Singh, S. & Srivastava, P. (2019). Social media for outbound leisure travel: a framework based on technology acceptance model (TAM). Journal of Tourism Futures, 5(1), 43-61. 10.1108/JTF-10-2018-0058DOI ↗Google Scholar ↗
  45. Singh, S., Sahni, M. M., Kovid, R. K. (2020). What drives FinTech adoption? A multi-method evaluation using an adapted technology acceptance model. Management Decision, 58(8), 1675-1697.Google Scholar ↗
  46. https://doi.org/10.1108/MD-09-2019- 1318DOI ↗Google Scholar ↗
  47. Tsai, Y. & Tiwasing, P. (2021). Customers' intention to adopt smart lockers in last-mile delivery service: A multi-theory perspective. Journal of Retailing and Consumer Services, 61,102514. https://doi.org/10.1016/j.jretconser.2021.102514DOI ↗Google Scholar ↗
  48. Widodo, T., Putri, S. F. (2021). Analysis of Interest in Using LinkAja Digital Wallet with Technology Acceptance Model (TAM) Approach in Bandung. Journal of Management and Organization (JMO), 12(2), 134-145Google Scholar ↗
  49. Yang, M., Al-Mamun, A., Mohiuddin, M., Nawi, N. C., Zainol, N. R. (2021). Cashless Transactions: A Study on Intention and Adoption of e-Wallets. Sustainability 2021, 13, 831. https://doi.org/10.3390/su13020831DOI ↗Google Scholar ↗
  50. Yuriev, A., Dahmen, M., Paillé, P., Boiral, O., Guillaumie, L. (2020). Pro-environmental behaviors through the lens of the theory of planned behavior: A scoping review. Resources, Conservation and Recycling,155. https://doi.org/10.1016/j.resconrec.2019.104660DOI ↗Google Scholar ↗
  51. Zabukovšek, S. S., Bobek, S., Zabukovšek, U., Kalini ́c, Z., Tominc, P. (2022). Enhancing PLS-SEM-Enabled Research with ANN and IPMA: Research Study of Enterprise Resource Planning (ERP) Systems' Acceptance Based on the Technology Acceptance Model (TAM). Mathematics, 10(9), 1379.Google Scholar ↗
  52. https://doi.org/10.3390/math10091379DOI ↗Google Scholar ↗
Author details
Kinanti Jasmine Nadia
University of Ciputra, Surabaya, Indonesia
✉ Corresponding Author
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Damelina Basauli Tambunan
University of Ciputra, Surabaya, Indonesia
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Eny Yuniriyanti
University of Merdeka Malang, Indonesia
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