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Submitted
Oct 14, 2022
Accepted
Sep 28, 2024
Published
Sep 30, 2024
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Abstract

Current technological advances have created gaps in people's ability to obtain information quickly. It was as if the strenuous efforts of people wanting to know more about what had happened had broken down the information barrier. This research is included in the category of quantitative descriptive research. This research is focused on news portal application users. The sampling technique used in this study was random sampling, with a total sample of 100 participants. This research uses PLS data analysis technique with SEM approach model. The results showed that perceived ease of use affects mobile user satisfaction. Perceived usefullness affects mobile user satisfaction. Trust affects mobile user satisfaction. Convencience affects mobile user satisfaction. Security affects mobile user satisfaction. Perceived ease of use does not affect user loyalty. Perceived usefullness affects user loyalty. Trust affects user loyalty. Convencience affects user loyalty. Security affects user loyalty.

Keywords

Covid-19 pandemic Government Policy Jabodetabek electric

Article Details

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite
1.
Saputra RI, Haryamadha R, Nuryasin I. Evaluation of User Satisfaction and Loyalty of Sports News Portal Application Using Technology Acceptance Model. EKSAKTA [Internet]. 2024Sep.30 [cited 2024Oct.12];25(03):353-61. Available from: https://eksakta.ppj.unp.ac.id/index.php/eksakta/article/view/352

References

  1. Taherdoost, H. (2018). Development of an adoption model to assess user acceptance of e-service technology: E-Service Technology Acceptance Model. Behaviour & Information Technology, 37(2), 173-197.
  2. Sandhu, K. (2008). E-services acceptance model (e-sam) (pp. 224-229). Springer Netherlands.
  3. Mouhcine, H. B. (2021). The Role of User Satisfaction in Continuance Intention to Use Chatbots within the Technology Acceptance Model (TAM) (Master's thesis, Marmara Universitesi (Turkey)).
  4. Rafique, H., Almagrabi, A. O., Shamim, A., Anwar, F., & Bashir, A. K. (2020). Investigating the acceptance of mobile library applications with an extended technology acceptance model (TAM). Computers & Education, 145, 103732.
  5. Hacker, J., Vom Brocke, J., Handali, J., Otto, M., & Schneider, J. (2020). Virtually in this together–how web-conferencing systems enabled a new virtual togetherness during the COVID-19 crisis. European Journal of Information Systems, 29(5), 563-584.
  6. de Freitas Netto, S. V., Sobral, M. F. F., Ribeiro, A. R. B., & Soares, G. R. D. L. (2020). Concepts and forms of greenwashing: A systematic review. Environmental Sciences Europe, 32, 1-12.
  7. Cocchiara, R. A., Peruzzo, M., Mannocci, A., Ottolenghi, L., Villari, P., Polimeni, A., ... & La Torre, G. (2019). The use of yoga to manage stress and burnout in healthcare workers: a systematic review. Journal of clinical medicine, 8(3), 284.
  8. Guo, Z., Zhou, K., Zhang, C., Lu, X., Chen, W., & Yang, S. (2018). Residential electricity consumption behavior: Influencing factors, related theories and intervention strategies. Renewable and Sustainable Energy Reviews, 81, 399-412.
  9. Chen, C. C., Hsiao, K. L., & Li, W. C. (2020). Exploring the determinants of usage continuance willingness for location-based apps: A case study of bicycle-based exercise apps. Journal of Retailing and Consumer Services, 55, 102097.
  10. Zijian, D. (2020). The Factors of Experiential Value and Technology Acceptance Effects on Customer Satisfaction on Online Fitness Apps Users’ Continuance Intention to Use in Guangxi, China (Doctoral dissertation, University of the Thai Chamber of Commerce (UTCC)).
  11. Islam, T., Islam, R., Pitafi, A. H., Xiaobei, L., Rehmani, M., Irfan, M., & Mubarak, M. S. (2021). The impact of corporate social responsibility on customer loyalty: The mediating role of corporate reputation, customer satisfaction, and trust. Sustainable Production and Consumption, 25, 123-135.
  12. Kim, J., Chang, Y., Chong, A. Y. L., & Park, M. C. (2019). Do perceived use contexts influence usage behavior? An instrument development of perceived use context. Information & Management, 56(7), 103155.
  13. Kim, M. S., & Kim, S. (2018). Factors influencing willingness to provide personal information for personalized recommendations. Computers in Human Behavior, 88, 143-152.
  14. Jomnonkwao, S., Wisutwattanasak, P., & Ratanavaraha, V. (2021). Factors influencing willingness to pay for accident risk reduction among personal car drivers in Thailand. PLoS one, 16(11), e0260666.
  15. Nardi, P. M. (2018). Doing survey research: A guide to quantitative methods. Routledge.
  16. Leavy, P. (2022). Research design: Quantitative, qualitative, mixed methods, arts-based, and community-based participatory research approaches. Guilford Publications.
  17. Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook (p. 197). Springer Nature.
  18. Duarte, P., e Silva, S. C., & Ferreira, M. B. (2018). How convenient is it? Delivering online shopping convenience to enhance customer satisfaction and encourage e-WOM. Journal of Retailing and Consumer Services, 44, 161-169.
  19. Kumar, V., & Ayodeji, O. G. (2021). E-retail factors for customer activation and retention: An empirical study from Indian e-commerce customers. Journal of Retailing and Consumer Services, 59, 102399.
  20. Xu, X., Munson, C. L., & Zeng, S. (2017). The impact of e-service offerings on the demand of online customers. International Journal of Production Economics, 184, 231-244.
  21. Singh, N., & Sinha, N. (2020). How perceived trust mediates merchant's intention to use a mobile wallet technology. Journal of retailing and consumer services, 52, 101894.
  22. Gildin, S. Z. (2022). Understanding the power of word-of-mouth. RAM. Revista de Administração Mackenzie, 4, 92-106.
  23. Chu, S. C., & Kim, J. (2020). The current state of knowledge on electronic word-of-mouth in advertising research. Electronic Word of Mouth as a Promotional Technique, 1-13.
  24. Uzir, M. U. H., Al Halbusi, H., Thurasamy, R., Hock, R. L. T., Aljaberi, M. A., Hasan, N., & Hamid, M. (2021). The effects of service quality, perceived value and trust in home delivery service personnel on customer satisfaction: Evidence from a developing country. Journal of Retailing and Consumer Services, 63, 102721.
  25. Song, M., Xing, X., Duan, Y., Cohen, J., & Mou, J. (2022). Will artificial intelligence replace human customer service? The impact of communication quality and privacy risks on adoption intention. Journal of Retailing and Consumer Services, 66, 102900.
  26. Santos, V., Ramos, P., Sousa, B., Almeida, N., & Valeri, M. (2022). Factors influencing touristic consumer behaviour. Journal of Organizational Change Management, 35(3), 409-429.
  27. Sarkar, S., Chauhan, S., & Khare, A. (2020). A meta-analysis of antecedents and consequences of trust in mobile commerce. International Journal of Information Management, 50, 286-301.
  28. Wilson, N., Alvita, M., & Wibisono, J. (2021). The effect of perceived ease of use and perceived security toward satisfaction and repurchase intention. Jurnal Muara Ilmu Ekonomi dan Bisnis, 5(1), 145-159.
  29. Gildin, S. Z. (2022). Understanding the power of word-of-mouth. RAM. Revista de Administração Mackenzie, 4, 92-106.
  30. Jenneboer, L., Herrando, C., & Constantinides, E. (2022). The impact of chatbots on customer loyalty: A systematic literature review. Journal of theoretical and applied electronic commerce research, 17(1), 212-229.
  31. Trager, J., Kalová, L., Pagany, R., & Dorner, W. (2021). Warning apps for road safety: A technological and economical perspective for autonomous driving–the warning task in the transition from human driver to automated driving. International Journal of Human–Computer Interaction, 37(4), 363-377.
  32. Ali, F., Kim, W. G., Li, J., & Jeon, H. M. (2018). Make it delightful: Customers' experience, satisfaction and loyalty in Malaysian theme parks. Journal of destination marketing & management, 7, 1-11.