How to cite this paper
Siagian, H., Tarigan, Z & Ubud, S. (2022). The effect of electronic word of mouth on online customer loyalty through perceived ease of use and information sharing.International Journal of Data and Network Science, 6(4), 1155-1168.
Refrences
Bassiouni, D.H.B., Hackley, C., & Meshreki, H. (2019). The integration of video games in family-life dynamics: An adapted technology acceptance model of family intention to consume video games. Information Technology & People, 32(6), 1376-1396, DOI 10.1108/ITP-11-2017-0375
Basuki, R., Tarigan, Z.J.H., Siagian, H., Limanta, L.S., Setiawan, D., & Mochtar, J. (2022). The effects of perceived ease of use, usefulness, enjoyment and intention to use online platforms on behavioral intention in online movie watching during the pandemic era. International Journal of Data and Network Science, 6(1), 563-572, DOI: 10.5267/j.ijdns.2021.9.003
Brandon-Jones, A. (2018). Examining the antecedents of the technology acceptance model within e-procurement. Interna-tional Journal of Operations & Production Management, 38(1), 22-42, DOI 10.1108/IJOPM-06-2015-0346
Chen, Y.-L., Yeh, Y.-H., & Ma, M.-R. (2021). A movie recommendation method based on users' positive and negative profiles. Information Processing and Management, 58, 102531, https://doi.org/10.1016/j.ipm.2021.102531
Chong, A.Y.L., Khong, K.W., Ma, T., McCabe, S. & Wang, Y. (2018). Analyzing key influences of tourists' acceptance of online reviews in travel decisions. Internet Research, 28(3), 564-586, doi: 10.1108/IntR-05-2017-0212.
Chung, N., & Koo, C. (2015). The use of social media in travel information search. Telematics and Informatics, 32(2), 215-229, doi: 10.1016/j.tele.2014.08.005
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
Divakaran, P.K.P., & Nørskov, S. (2016). Are online communities on par with experts in the evaluation of new movies? Evidence from the Fandango community. Information Technology & People, 29(1), 120-145, DOI 10.1108/ITP-02-2014-0042
Hashima, M.J., Rama, S., & Tang, Z. (2019). Uncovering the effects of digital movie format availability on physical mov-ie sales. Decision Support Systems, 117, 75-86, https://doi.org/10.1016/j.dss.2018.10.016
Hu, Y.-H., Shiau, W.-M., Shih, S.-P. & Chen, C.-J. (2018). Considering online consumer reviews to predict movie box-office performance between the years 2009 and 2014 in the US. The Electronic Library, 36(6), 1010-1026. https://doi.org/10.1108/EL-02-2018-0040
Jemadu, L. (2021). Kominfo klaim pengguna internet Indonesia melonjak karena infrastruktur semakin bagus [Kominfo claims Indonesian internet users are increasing because infrastructure is getting better], https://www.suara.com/tekno/2021/08/31/003044/kominfo-klaim-pengguna-internet-indonesia-melonjak-karena-infrastruktur-semakin-bagus
Juwaini, A., Chidir, G., Novitasari, D., Iskandar, J., Hutagulung, D., Pramono, T., Maulana, A., Safitri, K., Fahlevi, M., Su-listyo, A.B., & Purwanto, A. (2022). The role of customer e-trust, customer e-service quality and customer e-satisfaction on customer e-loyalty. International Journal of Data and Network Science, 6(2), 477-486, doi: 10.5267/j.ijdns.2021.12.006
Kim, J. (2016). An extended technology acceptance model in behavioral intention toward hotel tablet apps with moderat-ing effects of gender and age. International Journal of Contemporary Hospitality Management, 28(8), 1535-1553, doi: 10.1108/IJCHM-06-2015-0289
Kim, W.G. & Park, S.A. (2017). Social media review rating versus traditional customer satisfaction which one has more incremental predictive power in explaining hotel performance? International Journal of Contemporary Hospitality Management, 29(2), 784-802, DOI 10.1108/IJCHM-11-2015-0627
Kucukusta, D., Law, R., Besbes, A. & Legohérel, P. (2015). Re-examining perceived usefulness and ease of use in online booking: the case of Hong Kong online users. International Journal of Contemporary Hospitality Management, 27(2), 185-198, doi: 10.1108/IJCHM-09-2013-0413.
Lee, J.H., Jung, S.H., & Park, J. (2017). The role of entropy of review text sentiments on online WOM and movie box of-fice sales. Electronic Commerce Research and Applications, 22, 42-52, http://dx.doi.org/10.1016/j.elerap.2017.03.001
Legoux, R., Larocque, D., Laporte, S., Belmati, S., & Boquet, T. (2016). The effect of critical reviews on exhibitors’ deci-sions: Do reviews affect the survival of a movie on screen? International Journal of Research in Marketing, 33(2), 357-374, https://doi.org/10.1016/j.ijresmar.2015.07.003
Ma, H., Kim, J.M., & Lee, E. (2019). Analyzing dynamic review manipulation and its impact on movie box office reve-nue. Electronic Commerce Research and Applications, 35, 100840, https://doi.org/10.1016/j.elerap.2019.100840
Mayzlin, D., Dover, Y., & Chevalier, J., (2014). Promotional reviews: an empirical investigation of online review manipu-lation. American Economic Review, 104(8), 2421–2455.
Menon, D. (2022). Purchase and continuation intentions of over -the -top (OTT) video streaming platform subscriptions: a uses and gratification theory perspective. Telematics and Informatics Reports, 5, 100006, https://doi.org/10.1016/j.teler.2022.100006
No, E. & Kim, J.K. (2014). Determinants of the adoption for travel information on smartphone. International Journal of Tourism Research, 16(6), 534-545, doi: 10.1002/jtr.1945
Ozturk, A.B. (2016). Customer acceptance of cashless payment systems in the hospitality industry. International Journal of Contemporary Hospitality Management, 28(4), 801-817, DOI 10.1108/IJCHM-02-2015-0073
Palumian, Y., Jayanti, S.C.K., Indriyani, R. & Tarigan, Z.J.H. (2021). Technology acceptance model for online cinema ticketing among moviegoers in java island Indonesia: an empirical study on tix id application. IOP Conf. Series: Mate-rials Science and Engineering, 1010, 012037, doi:10.1088/1757-899X/1010/1/012037
Rauniar, R., Rawski, G., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: an empiri-cal study on Facebook. Journal of Enterprise Information Management, 27(1), 6-30, DOI 10.1108/JEIM-04-2012-0011
Reimer, T., & Benkenstein, M. (2016). Altruistic eWOM marketing: More than an alternative to monetary incentives. Journal of Retailing and Consumer Services, 31, 323–333. https://doi.org/10.1016/j.jretconser.2016.04.003
Sahli, A.B. & Legohérel, P. (2015). The tourism web acceptance model. Journal of Vacation Marketing, 22(2), 179-194, doi: 10.1177/1356766715607589.
Singh, A. (2019). E-word of mouth: Strengthening the strategic tool of digital marketing. International Journal of Recent Technology and Engineering, 8(2), 921-926
Singh, J. & Goyal, G. (2019). Anticipating movie success through crowdsourced social media videos. Computers in Hu-man Behavior, 101, 484-494, https://doi.org/10.1016/j.chb.2018.08.050
Tarigan, Z.J.H., Basuki, R., & Siagian, H. (2020). The impact of information technology quality on electronic customer satisfaction in movie industry. International Journal of Data and Network Science, 4(3), 263-270, doi: 10.5267/j.ijdns.2020.8.001
Tarigan, Z.J.H., Jonathan, M., Siagian, H. & Basana, S.R. (2022). The effect of e-WOM through intention to use technolo-gy and social media community for mobile payments during the COVID-19. International Journal of Data and Net-work Science, 6(2), 563-572, DOI: 10.5267/j.ijdns.2021.11.008
Tarigan, Z.J.H., Sutapa, I.N., Mochtar, J., & Suprapto, W. (2019). Measuring teachers' competency in determining stu-dents' satisfaction through electronic internet survey method. International Journal of Information and Education Technology, 9(3), 236-240, doi: 10.18178/ijiet.2019.9.3.1206
Wang, L., Law, R., Guillet, B.D., Hung, K. & Fong, D.K.C. (2015). Impact of hotel website quality on online booking in-tentions: etrust as a mediator. International Journal of Hospitality Management, 47, 108-115, doi: 10.1016/j.ijhm.2015.03.012.
Weerasinghe, S. & Hindagolla, M.C.B. (2018). Technology acceptance model and social network sites (SNS): a selected review of literature. Global Knowledge, Memory and Communication, 67(3), 142-153, DOI 10.1108/GKMC-09-2017-0079
Yoon, Y., Polpanumas, C., & Park, Y.J. (2017). The impact of word of mouth via Twitter on moviegoers' decisions and film revenues: Revisiting prospect theory: How WOM about movies drives loss-aversion and reference-dependence behaviors. Journal of Advertising Research, 57(2),144-158, DOI:10.2501/JAR-2017-022
Yunusa, M., Saputra, J., & Muhammad, Z. (2022). Digital marketing, online trust and online purchase intention of e-commerce customers: Mediating the role of customer relationship management. International Journal of Data and Network Science, 6(3), 935–944, doi: 10.5267/j.ijdns.2022.2.003
Zuraidah, D.N., Apriyadi, M.F., Fatoni, A.R., Al Fatih, M., & Amrozi, Y. (2021). Menelisik platform digital dalam teknologi bahasa pemrograman [Exploring digital platforms in programming language technology]. Jurnal Ilmiah Teknologi Informasi & Sains, 11(2), 1-6, DOI: 10.36350/jbs.v11i2.107
Basuki, R., Tarigan, Z.J.H., Siagian, H., Limanta, L.S., Setiawan, D., & Mochtar, J. (2022). The effects of perceived ease of use, usefulness, enjoyment and intention to use online platforms on behavioral intention in online movie watching during the pandemic era. International Journal of Data and Network Science, 6(1), 563-572, DOI: 10.5267/j.ijdns.2021.9.003
Brandon-Jones, A. (2018). Examining the antecedents of the technology acceptance model within e-procurement. Interna-tional Journal of Operations & Production Management, 38(1), 22-42, DOI 10.1108/IJOPM-06-2015-0346
Chen, Y.-L., Yeh, Y.-H., & Ma, M.-R. (2021). A movie recommendation method based on users' positive and negative profiles. Information Processing and Management, 58, 102531, https://doi.org/10.1016/j.ipm.2021.102531
Chong, A.Y.L., Khong, K.W., Ma, T., McCabe, S. & Wang, Y. (2018). Analyzing key influences of tourists' acceptance of online reviews in travel decisions. Internet Research, 28(3), 564-586, doi: 10.1108/IntR-05-2017-0212.
Chung, N., & Koo, C. (2015). The use of social media in travel information search. Telematics and Informatics, 32(2), 215-229, doi: 10.1016/j.tele.2014.08.005
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
Divakaran, P.K.P., & Nørskov, S. (2016). Are online communities on par with experts in the evaluation of new movies? Evidence from the Fandango community. Information Technology & People, 29(1), 120-145, DOI 10.1108/ITP-02-2014-0042
Hashima, M.J., Rama, S., & Tang, Z. (2019). Uncovering the effects of digital movie format availability on physical mov-ie sales. Decision Support Systems, 117, 75-86, https://doi.org/10.1016/j.dss.2018.10.016
Hu, Y.-H., Shiau, W.-M., Shih, S.-P. & Chen, C.-J. (2018). Considering online consumer reviews to predict movie box-office performance between the years 2009 and 2014 in the US. The Electronic Library, 36(6), 1010-1026. https://doi.org/10.1108/EL-02-2018-0040
Jemadu, L. (2021). Kominfo klaim pengguna internet Indonesia melonjak karena infrastruktur semakin bagus [Kominfo claims Indonesian internet users are increasing because infrastructure is getting better], https://www.suara.com/tekno/2021/08/31/003044/kominfo-klaim-pengguna-internet-indonesia-melonjak-karena-infrastruktur-semakin-bagus
Juwaini, A., Chidir, G., Novitasari, D., Iskandar, J., Hutagulung, D., Pramono, T., Maulana, A., Safitri, K., Fahlevi, M., Su-listyo, A.B., & Purwanto, A. (2022). The role of customer e-trust, customer e-service quality and customer e-satisfaction on customer e-loyalty. International Journal of Data and Network Science, 6(2), 477-486, doi: 10.5267/j.ijdns.2021.12.006
Kim, J. (2016). An extended technology acceptance model in behavioral intention toward hotel tablet apps with moderat-ing effects of gender and age. International Journal of Contemporary Hospitality Management, 28(8), 1535-1553, doi: 10.1108/IJCHM-06-2015-0289
Kim, W.G. & Park, S.A. (2017). Social media review rating versus traditional customer satisfaction which one has more incremental predictive power in explaining hotel performance? International Journal of Contemporary Hospitality Management, 29(2), 784-802, DOI 10.1108/IJCHM-11-2015-0627
Kucukusta, D., Law, R., Besbes, A. & Legohérel, P. (2015). Re-examining perceived usefulness and ease of use in online booking: the case of Hong Kong online users. International Journal of Contemporary Hospitality Management, 27(2), 185-198, doi: 10.1108/IJCHM-09-2013-0413.
Lee, J.H., Jung, S.H., & Park, J. (2017). The role of entropy of review text sentiments on online WOM and movie box of-fice sales. Electronic Commerce Research and Applications, 22, 42-52, http://dx.doi.org/10.1016/j.elerap.2017.03.001
Legoux, R., Larocque, D., Laporte, S., Belmati, S., & Boquet, T. (2016). The effect of critical reviews on exhibitors’ deci-sions: Do reviews affect the survival of a movie on screen? International Journal of Research in Marketing, 33(2), 357-374, https://doi.org/10.1016/j.ijresmar.2015.07.003
Ma, H., Kim, J.M., & Lee, E. (2019). Analyzing dynamic review manipulation and its impact on movie box office reve-nue. Electronic Commerce Research and Applications, 35, 100840, https://doi.org/10.1016/j.elerap.2019.100840
Mayzlin, D., Dover, Y., & Chevalier, J., (2014). Promotional reviews: an empirical investigation of online review manipu-lation. American Economic Review, 104(8), 2421–2455.
Menon, D. (2022). Purchase and continuation intentions of over -the -top (OTT) video streaming platform subscriptions: a uses and gratification theory perspective. Telematics and Informatics Reports, 5, 100006, https://doi.org/10.1016/j.teler.2022.100006
No, E. & Kim, J.K. (2014). Determinants of the adoption for travel information on smartphone. International Journal of Tourism Research, 16(6), 534-545, doi: 10.1002/jtr.1945
Ozturk, A.B. (2016). Customer acceptance of cashless payment systems in the hospitality industry. International Journal of Contemporary Hospitality Management, 28(4), 801-817, DOI 10.1108/IJCHM-02-2015-0073
Palumian, Y., Jayanti, S.C.K., Indriyani, R. & Tarigan, Z.J.H. (2021). Technology acceptance model for online cinema ticketing among moviegoers in java island Indonesia: an empirical study on tix id application. IOP Conf. Series: Mate-rials Science and Engineering, 1010, 012037, doi:10.1088/1757-899X/1010/1/012037
Rauniar, R., Rawski, G., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: an empiri-cal study on Facebook. Journal of Enterprise Information Management, 27(1), 6-30, DOI 10.1108/JEIM-04-2012-0011
Reimer, T., & Benkenstein, M. (2016). Altruistic eWOM marketing: More than an alternative to monetary incentives. Journal of Retailing and Consumer Services, 31, 323–333. https://doi.org/10.1016/j.jretconser.2016.04.003
Sahli, A.B. & Legohérel, P. (2015). The tourism web acceptance model. Journal of Vacation Marketing, 22(2), 179-194, doi: 10.1177/1356766715607589.
Singh, A. (2019). E-word of mouth: Strengthening the strategic tool of digital marketing. International Journal of Recent Technology and Engineering, 8(2), 921-926
Singh, J. & Goyal, G. (2019). Anticipating movie success through crowdsourced social media videos. Computers in Hu-man Behavior, 101, 484-494, https://doi.org/10.1016/j.chb.2018.08.050
Tarigan, Z.J.H., Basuki, R., & Siagian, H. (2020). The impact of information technology quality on electronic customer satisfaction in movie industry. International Journal of Data and Network Science, 4(3), 263-270, doi: 10.5267/j.ijdns.2020.8.001
Tarigan, Z.J.H., Jonathan, M., Siagian, H. & Basana, S.R. (2022). The effect of e-WOM through intention to use technolo-gy and social media community for mobile payments during the COVID-19. International Journal of Data and Net-work Science, 6(2), 563-572, DOI: 10.5267/j.ijdns.2021.11.008
Tarigan, Z.J.H., Sutapa, I.N., Mochtar, J., & Suprapto, W. (2019). Measuring teachers' competency in determining stu-dents' satisfaction through electronic internet survey method. International Journal of Information and Education Technology, 9(3), 236-240, doi: 10.18178/ijiet.2019.9.3.1206
Wang, L., Law, R., Guillet, B.D., Hung, K. & Fong, D.K.C. (2015). Impact of hotel website quality on online booking in-tentions: etrust as a mediator. International Journal of Hospitality Management, 47, 108-115, doi: 10.1016/j.ijhm.2015.03.012.
Weerasinghe, S. & Hindagolla, M.C.B. (2018). Technology acceptance model and social network sites (SNS): a selected review of literature. Global Knowledge, Memory and Communication, 67(3), 142-153, DOI 10.1108/GKMC-09-2017-0079
Yoon, Y., Polpanumas, C., & Park, Y.J. (2017). The impact of word of mouth via Twitter on moviegoers' decisions and film revenues: Revisiting prospect theory: How WOM about movies drives loss-aversion and reference-dependence behaviors. Journal of Advertising Research, 57(2),144-158, DOI:10.2501/JAR-2017-022
Yunusa, M., Saputra, J., & Muhammad, Z. (2022). Digital marketing, online trust and online purchase intention of e-commerce customers: Mediating the role of customer relationship management. International Journal of Data and Network Science, 6(3), 935–944, doi: 10.5267/j.ijdns.2022.2.003
Zuraidah, D.N., Apriyadi, M.F., Fatoni, A.R., Al Fatih, M., & Amrozi, Y. (2021). Menelisik platform digital dalam teknologi bahasa pemrograman [Exploring digital platforms in programming language technology]. Jurnal Ilmiah Teknologi Informasi & Sains, 11(2), 1-6, DOI: 10.36350/jbs.v11i2.107