The effect of perceived ease of use on behavior intention through perceived enjoyment as an intervening variable on digital payment in the digital era

Mochammad  Jasin

doi:10.7777/jiemar.v3i5.414

Mochammad Jasin Universitas Islam Negeri Jakarta, Indonesia

DOI: https://doi.org/10.7777/jiemar.v3i5.414

Keywords: e-wallet, perceived ease of use, perceived enjoyment, behavior intention.

Abstract

This study aims to analyze the effect of perceived ease of use on behavior intention through perceived enjoyment as an intervening variable in digital payment. In this study, the researcher used a sampling model with a non-probability technique. The study uses a purposive sampling technique where the researcher will select members of the population who have certain criteria, namely being an e-wallet application user at least 4x in the last two months and a minimum top up of 50,000 IDR Path Analysis can be used in this study to test a hypothesis that indicates the existence of a strong relationship and has an influence between one variable and another variable that has a cause and effect relationship. Partial Least Square (PLS) is one part of SEM and is often used by researchers because it does not require a normal distribution. Respondents in this study were 300 e-wallet users who were determined by simple random sampling. The stages of data analysis test are validity, reliability, termination coefficient and hypothesis testing. The final results obtained in this study indicate that perceived ease of use has a positive influence on behavior intention, perceived ease of use also has a positive influence on perceived enjoyment, Likewise, perceived enjoyment has a positive influence on behavior intention.

References

Gawron, M., & Strzelecki, A. (2021). Consumers’ adoption and use of E-currencies in virtual markets in the context of an online game. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1266-1279.

Haudi, H., Rahadjeng, E., Santamoko, R., Putra, R., Purwoko, D., Nurjannah, D., ... & Purwanto, A. (2022). The role of e-marketing and e-CRM on e-loyalty of Indonesian companies during Covid pandemic and digital era. Uncertain Supply Chain Management, 10(1), 217-224.

Huang, F., Teo, T., & Scherer, R. (2022). Investigating the antecedents of university students’ perceived ease of using the Internet for learning. Interactive learning environments, 30(6), 1060-1076.

Humida, T., Al Mamun, M. H., & Keikhosrokiani, P. (2022). Predicting behavioral intention to use e-learning system: A case-study in Begum Rokeya University, Rangpur, Bangladesh. Education and information technologies, 27(2), 2241-2265.

Jesuthasan, S., & Umakanth, N. (2021). Impact of behavioural intention on E-wallet usage during Covid-19 period: A study from Sri Lanka. Sri Lanka Journal of Marketing, 7(2), 24.

Kurniasih, D., Setyoko, P. I., & Saputra, A. S. (2022). The Influence of Digital Electronic Performance, Competence and Motivation on Government Organization Employees Performance During the Digital Era. Journal of Industrial Engineering & Management Research, 3(5), 86-99. https://doi.org/10.7777/jiemar.v3i5.403

Khiong, K. (2022). Impact and Challenges of Digital Marketing in Healthcare Industries during Digital Era and Covid-19 Pandemic. Journal of Industrial Engineering & Management Research, 3(5), 112-118. https://doi.org/10.7777/jiemar.v3i5.408

Lutfi, A., Al-Okaily, M., Alshirah, M. H., Alshira’h, A. F., Abutaber, T. A., & Almarashdah, M. A. (2021). Digital financial inclusion sustainability in Jordanian context. Sustainability, 13(11), 6312.

Mailizar, M., Burg, D., & Maulina, S. (2021). Examining university students’ behavioural intention to use e-learning during the COVID-19 pandemic: An extended TAM model. Education and Information Technologies, 26(6), 7057-7077.

Nelwan, J., Yasa, N., Sukaatmadja, I., & Ekawati, N. (2021). Antecedent behaviour and its implication on the intention to reuse the internet banking and mobile services. International Journal of Data and Network Science, 5(3), 451-464.

Puriwat, W., & Tripopsakul, S. (2021). Explaining an adoption and continuance intention to use contactless payment technologies: during the COVID-19 pandemic. Emerging Science Journal, 5(1), 85-95.

Purwanto, A., Purba, J. T., Bernarto, I., & Sijabat, R. (2021). Effect of Management Innovation, Transformational Leadership, and Knowledge Sharing on Market Performance of Indonesian Consumer Goods Company. Jurnal Aplikasi Manajemen, 19(2), 424-434.

Purwanto, A. (2022). How The Role of Digital Marketing and Brand Image on Food Product Purchase Decisions? An Empirical Study on Indonesian SMEs in the Digital Era. Journal of Industrial Engineering & Management Research, 3(6), 34-41. https://doi.org/10.7777/jiemar.v3i6.323

Rad, D., Egerau, A., Roman, A., Dughi, T., Balas, E., Maier, R., ... & Rad, G. (2022). A Preliminary Investigation of the Technology Acceptance Model (TAM) in Early Childhood Education and Care. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 13(1), 518-533.

Rouibah, K., Al-Qirim, N., Hwang, Y., & Pouri, S. G. (2021). The determinants of eWoM in social commerce: The role of perceived value, perceived enjoyment, trust, risks, and satisfaction. Journal of Global Information Management (JGIM), 29(3), 75-102.

Sharma, T. G., Hamari, J., Kesharwani, A., & Tak, P. (2022). Understanding continuance intention to play online games: roles of self-expressiveness, self-congruity, self-efficacy, and perceived risk. Behaviour & Information Technology, 41(2), 348-364.

Surur, M., Wibawa, R. P., Jaya, F., Suparto, A. A., Harefa, D., Faidi, A., ... & Purwanto, A. (2020). Effect Of Education Operational Cost On The Education Quality With The School Productivity As Moderating Variable. PSYCHOLOGY AND EDUCATION, 57(9), 1196-1205.

Unal, E., & Uzun, A. M. (2021). Understanding university students’ behavioral intention to use Edmodo through the lens of an extended technology acceptance model. British Journal of Educational Technology, 52(2), 619-637.