PENGARUH PERCEIVED INTERACTIVITY, DAN PERCEIVED USEFULNESS TERHADAP BEHAVIORAL INTENTION DENGAN USER SATISFACTION SEBAGAI VARIABEL INTERVENING; APLIKASI GMS CHURCH SURABAYA

Natasha Giovanna Tanugraha(1*),


(1) 
(*) Corresponding Author

Abstract


This study aims to analyze the effect of Perceived interactivity and Perceived usefulness on Behavioral intention with User satisfaction as an Intervening Variable in the GMS Church Surabaya Application. The data in this study were collected through an online survey by distributing questionnaires to 150 respondents. The research method used is a quantitative approach using Partial Least Square and SPSS. The results of the study prove that Perceived interactivity is positively related to User satisfaction, Perceived interactivity has a significant effect on Behavioral intention, Perceived usefulness has an effect on User satisfaction, Perceived usefulness has an effect on Behavioral intention, Perceived interactivity and Perceived usefulness have no significant effect on Behavioral intention through User satisfaction as mediation.


Keywords


Perceived interactivity, Perceived usefulness, User satisfaction, Behavioral intention

Full Text:

PDF

References


Alsabawy, A. Y., Cater-Steel, A., & Soar, J. (2016). Determinants of perceived usefulness of e-learning systems. Computers in Human Behavior, 64, 843–858.

Amin, M., Rezaei, S., & Abolghasemi, M. (2014). User satisfaction with mobile websites: the impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust. Nankai Business Review International, 5(3), 258–274. https://doi.org/DOI 10.1108/NBRI-01-2014-0005

Arvidsson, N. (2014). Consumer attitudes on mobile payment services–results from a proof of concept test. International Journal of Bank Marketing.

Barreda, A. A., Bilgihan, A., & Kageyama, Y. (2015). The role of trust in creating positive word of mouth and behavioral intentions: The case of online social networks. Journal of Relationship Marketing, 14(1), 16–36.

Beuckels, E., & Hudders, L. (2016). An experimental study to investigate the impact of image interactivity on the perception of luxury in an online shopping context. Journal of Retailing and Consumer Services, 33, 135–142

Chong, X., Zhang, J., Lai, K., & Nie, L. (2012). An empirical analysis of mobile internet acceptance from a value–based view. International Journal of Mobile Communications, 10(5), 536–557.

Cigdem, H., & Topcu, A. (2015). Predictors of instructors’ behavioral intention to use learning management system: A Turkish vocational college example. Computers in Human Behavior, 52, 22–28.

Deng, Z., Mo, X., & Liu, S. (2014). Comparison of the middle-aged and older users’ adoption of mobile health services in China. International Journal of Medical Informatics, 83(3), 210–224.

Elkaseh, A. M., Wong, K. W., & Fung, C. C. (2016). Perceived ease of use and perceived usefulness of social media for e-learning in Libyan higher education: A structural equation modeling analysis. International Journal of Information and Education Technology, 6(3), 192.

Floropoulos, J., Spathis, C., Halvatzis, D., & Tsipouridou, M. (2010). Measuring the success of the Greek taxation information system. International Journal of Information Management, 30(1), 47–56.

Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems.

Heskett, J. L., Jones, T. O., Loveman, G. W., Sasser, W. E., & Schlesinger, L. A. (2008). Putting the service-profit chain to work. Harvard Business Review.

Hsu, M.-H., Chang, C.-M., Lin, H.-C., & Lin, Y.-W. (2015). Determinants of continued use of social media: the perspectives of uses and gratifications theory and perceived interactivity. Informationresearch, 20(1).

Jauhari, M. (2020). Migrasi Keagamaan Menuju. 16 April 2020. https://news.detik.com/kolom/d-4979086/migrasi-keagamaan-menuju-online

Joo, Y. J., So, H.-J., & Kim, N. H. (2018). Examination of relationships among students’ self-determination, technology acceptance, satisfaction, and continuance intention to use K-MOOCs. Computers & Education, 122, 260–272.

Kiousis, S. (2002). Interactivity: a concept explication. New Media & Society, 4(3), 355–383.

Kuo, Y.-F., & Yen, S.-N. (2009). Towards an understanding of the behavioral intention to use 3G mobile value-added services. Computers in Human Behavior, 25(1), 103–110.

Kusuma, P. W. (2020). Pandemi Bikin Orang Indonesia Makin Betah Berlama-lama Buka Aplikasi. 9 Agustus 2020. https://tekno.kompas.com/read/2020/07/12/ 16050087/ pandemi-bikin-orang-indonesia-makin-betah-berlama-lama-buka aplikasi

Lanseng, E. J., & Andreassen, T. W. (2007). Electronic healthcare: a study of people’s readiness and attitude toward performing self‐diagnosis. International Journal of Service Industry Management.

Liang, R., & Zhang, J. (2012). The effect of service interaction orientation on customer satisfaction and behavioral intention. Asia Pacific Journal of Marketing and Logistics, 24(1), 153–170. https://doi.org/10.1108/13555851211192740

Liaw, S.-S., & Huang, H.-M. (2013). Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments. Computers & Education, 60(1), 14–24. https://doi.org/https://doi.org/10.1016/j.compedu.2012.07.015

McMillan, S. J., & Morrison, M. (2006). Coming of age with the internet: A qualitative exploration of how the internet has become an integral part of young people’s lives. New Media & Society, 8(1), 73–95.

Mohammadi, F., Abrizah, A., Maryam, N., Abrizah, A., & Nazari, M. (2015). Is the information fit for use? Exploring teachers perceived information quality indicators for Farsi web-based learning resources. Malaysian Journal of Library & Information Science, 20(1), 99–122.

Ngafifi, M. (2014). Kemajuan teknologi dan pola hidup manusia dalam perspektif sosial budaya. Jurnal Pembangunan Pendidikan: Fondasi Dan Aplikasi, 2(1), 33–47. https://doi.org/https://doi.org/10.21831/jppfa.v2i1.2616

Rana, N. P., Dwivedi, Y. K., Williams, M. D., & Weerakkody, V. (2015). Investigating success of an e-government initiative: Validation of an integrated IS success model. Information Systems Frontiers, 17(1), 127–142.

Rho, M. J., young Choi, I., & Lee, J. (2014). Predictive factors of telemedicine service acceptance and behavioral intention of physicians. International Journal of Medical Informatics, 83(8), 559–571

Rouibah, K., Abbas, H., & Rouibah, S. (2011). Factors affecting camera mobile phone adoption before e-shopping in the Arab world. Technology in Society, 33(3–4), 271–283.

Roy, S. K., Balaji, M. S., Sadeque, S., Nguyen, B., & Melewar, T. C. (2017). Constituents and consequences of smart customer experience in retailing. Technological Forecasting and Social Change, 124, 257–270.

Shin, D., Choi, M., Kim, J. H., & Lee, J. (2016). Interaction, engagement, and perceived interactivity in single-handed interaction. Internet Research.

Shipps, B., & Phillips, B. (2013). Social networks, interactivity and satisfaction: Assessing socio-technical behavioral factors as an extension to technology acceptance. Journal of Theoretical and Applied Electronic Commerce Research, 8(1), 35–52.

Sondakh, J. J. (2017). Behavioral intention to use e-tax service system: An application of technology acceptance model. 20(2A), 48–64. https://www.um.edu.mt /library/oar//handle/123456789/28975

Sun, P.-C., Tsai, R. J., Finger, G., Chen, Y.-Y., & Yeh, D. (2008). What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers & Education, 50(4), 1183–1202.

Thong, J. Y. L., Hong, S.-J., & TAM, K. Y. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human-Computer Studies, 64(9), 799–810.

Turban, E. (2012). Electronic Commerce 2012: A Managerial and Social Network. Perspective. Pearson Education.

Yeo, V. C. S., Goh, S.-K., & Rezaei, S. (2017). Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services. Journal of Retailing and Consumer Services, 35, 150–162

Yoon, H.-Y. (2016). User acceptance of mobile library applications in academic libraries: an application of the technology acceptance model. The Journal of Academic Librarianship, 42(6), 687–693. https://doi.org/10.1016/j.acalib.2016.08.003

Wang, Z., & Li, H. (2016). Factors Influencing Usage of Third Party Mobile Payment Services in China: An Empirical Study. Journal of Management, 1–49.

Zhao, L., & Lu, Y. (2012). Enhancing perceived interactivity through network externalities: An empirical study on micro-blogging service satisfaction and continuance intention. Decision Support Systems, 53(4), 825–834.

Park, M., & Yoo, J. (2020). Effects of perceived interactivity of augmented reality on consumer responses: A mental imagery perspective. Journal of Retailing and Consumer Services, 52, 101912. https://doi.org/10.1016/j.jretconser.2019.101912


Refbacks

  • There are currently no refbacks.