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How to cite this paper
APA: Nugroho, A., Siagian, H., Oktavio, A & Tarigan, Z. (2023). The effect of e-WOM on customer satisfaction through ease of use, perceived usefulness and e-wallet payment. International Journal of Data and Network Science, 7(1), 153-162.
Chicago/Turabian: Nugroho, A., Siagian, H., Oktavio, A & Tarigan, Z. 2023. "The effect of e-WOM on customer satisfaction through ease of use, perceived usefulness and e-wallet payment." International Journal of Data and Network Science 7, no. 1 (2023): 153-162.
AMA: Nugroho, A., Siagian, H., Oktavio, A & Tarigan, Z. The effect of e-WOM on customer satisfaction through ease of use, perceived usefulness and e-wallet payment. International Journal of Data and Network Science. 2023;7(1):153-162.
References
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Basuki, R.B., 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), 253-262, DOI: 10.5267/j.ijdns.2021.9.003
Campo, K., Lamey, L., Breugelmans, E., & Melis, K. (2021). Going online for groceries: Drivers of category-level share of wallet expansion. Journal of Retailing, 97(2), 154–172, https://doi.org/10.1016/j.jretai.2020.05.003
Chalik, F.R., & Faturohman, T. (2022). Customer satisfaction of e-wallet user: an adoption of information system success model. International Symposia in Economic Theory and Econometrics, 30, 61–83, doi:10.1108/S1571-038620220000030005
Chen, K., Luo, P., & Wang, H. (2017). An influence framework on product word-of-mouth (WoM) measurement. Infor-mation & Management, 54(2), 228-240, https://doi.org/10.1016/j.im.2016.06.010
Foster, B., Hurriyati, R., & Johansyah, M.D. (2022). The Effect of Product Knowledge, Perceived Benefits, and Percep-tions of Risk on Indonesian Student Decisions to Use E-Wallets for Warunk Upnormal. Sustainability 14, 6475. https://doi.org/10.3390/su14116475
Gupta, G., & Singhania, K. (2021). Consumption of OTT Media Streaming in COVID-19 Lockdown: Insights from PLS Analysis. Vision, 25(1), 36–46. https://doi.org/10.1177/0972262921989118
Jawad, A.I., Parvin, T., & Hosain, M.S. (2022). Intention to adopt mobile-based online payment platforms in three Asian countries: an application of the extended Technology Acceptance Model. Journal of Contemporary Marketing Science, 5(1), 92-113. https://doi.org/10.1108/JCMARS-08-2021-0030
Jeljeli, R., Farhi, F., & Hamdi, M.E. (2022). The mediating role of gender in social media shopping acceptance: from the WOM perspective, Heliyon, 8(10), e11065, https://doi.org/10.1016/j.heliyon.2022.e11065.
Kim, W.G., Lim, H., & Brymer, R.A. (2015). The effectiveness of managing social media on hotel performance. Interna-tional Journal of Hospitality Management, 44, 165-171, https://doi.org/10.1016/j.ijhm.2014.10.014
Konuk, F.A. (2019). The influence of perceived food quality, price fairness, perceived value and satisfaction on custom-ers’ revisit and word-of-mouth intentions towards organic food restaurants. Journal of Retailing and Consumer Ser-vices, 50, 103-110, https://doi.org/10.1016/j.jretconser.2019.05.005
Kowalczuk, P. (2018). Consumer acceptance of smart speakers: a mixed methods approach. Journal of Research in Inter-active Marketing, 12(4), 418-431. https://doi.org/10.1108/JRIM-01-2018-0022
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
Lew, S., Tan, G.W.H., Loh, X.M., Hew, J.J., & Ooi, K.B. (2020). The disruptive mobile wallet in the hospitality industry: an extended mobile technology acceptance model. Technology in Society, 63, 101430, DOI: 10.1016/j.techsoc.2020.101430.
Li, C., Mirosa, M., & Bremer, P. (2020). Review of Online Food Delivery Platforms and their Impacts on Sustainability. Sustainability, 12(14), 5528, https://doi.org/10.3390/su12145528
Mishra, P., Bakshi, M., & Singh, R. (2016). Impact of consumption emotions on WOM in movie consumption: Empirical evidence from emerging markets. Australasian Marketing Journal, 24(1), 59-67, https://doi.org/10.1016/j.ausmj.2015.12.005
Moghavvemi, S., Salleh, N.A.M., & Standing, C. (2016). Entrepreneurs adoption of information system innovation: The impact of individual perception and exogenous factors on entrepreneurs behavior. Internet Research, 26(5), 1181-1208, DOI 10.1108/IntR-01-2014-0024
Ramanathan, U., Subramanian, N., & Parrott, G. (2017). Role of social media in retail network operations and marketing to enhance customer satisfaction. International Journal of Operations & Production Management, 37(1), 105-123, DOI 10.1108/IJOPM-03-2015-0153
Palumian, Y., Jayanti, S.C.K., Indriyani, R., & Tarigan, Z.J.H.T. (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
Pertiwi, D., Suprapto, W., & Pratama, E. (2020). Perceived usage of E-Wallet among the Y generation in Surabaya based on technology acceptance model. Jurnal Teknik Industri, 22(1), 17-24, doi: 10.9744/jti.22.1.17-24.
Phan, A.C., Nguyen, H.T., & Pham, T.X.T. (2021). Relationship between service recovery, customer satisfaction and cus-tomer loyalty: Empirical evidence from e-retailing. Uncertain Supply Chain Management, 9(1) 1–10, DOI: 10.5267/j.uscm.2020.12.007
Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: an empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6-30, DOI 10.1108/JEIM-04-2012-0011
Sarmah, R., Dhiman, N., & Kanojia, H. (2021). Understanding intentions and actual use of mobile wallets by millennial: an extended TAM model perspective. Journal of Indian Business Research, 13(3), 361-381, DOI 10.1108/JIBR-06-2020-0214
Shin, J., Park, Y., & Lee, D. (2016). Strategic management of over-the-top services: Focusing on Korean consumer adop-tion behavior. Technological Forecasting and Social Change, 112, 329–337. https://doi.org/10.1016/j.techfore.2016.08.004
Siagian, H., Tarigan, Z.J.H., & 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, DOI: 10.5267/j.ijdns.2022.7.004
Singh, N., Sinha, N., & Liébana-Cabanillas, F.J. (2020). Determining factors in the adoption and recommendation of mo-bile wallet services in India: analysis of the effect of innovativeness, stress to use and social influence. International Journal of Information Management, 50, 191-205, DOI: 10.1016/j.ijinfomgt.2019.05.022.
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
Tarigan, Z.J.H., Jonathan, M., Siagian, H. and Basana, S.R. (2022). The effect of e-WOM through intention to use technol-ogy and social media community for mobile payments during the COVID-19. International Journal of Data and Net-work Science, 6(4), 563-572, DOI: 10.5267/j.ijdns.2021.11.008
Teng, S., & Khong, K.W. (2021). Examining actual consumer usage of E-wallet: A case study of big data analytics. Com-puters in Human Behavior, 121, 106778, https://doi.org/10.1016/j.chb.2021.106778
Yang, M., Mamun, A.A., Mohiuddin, M., Nawi, N.C., & Zainol, N.R. (2021). Cashless Transactions: A Study on Intention and Adoption of e-Wallets. Sustainability, 13, 831, https://doi.org/10.3390/su13020831
Yu, Y., Li, X., & Jai, T.-M. (2017). The impact of green experience on customer satisfaction: evidence from TripAdvisor. International Journal of Contemporary Hospitality Management, 29(5), 1340-1361, DOI 10.1108/IJCHM-07-2015-0371
Zhang, L., Nyheim, P., & Mattila, A.S. (2014). The effect of power and gender on technology acceptance. Journal of Hos-pitality and Tourism Technology, 5(3), 299-314, DOI 10.1108/JHTT-03-2014-0008
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.B., 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), 253-262, DOI: 10.5267/j.ijdns.2021.9.003
Campo, K., Lamey, L., Breugelmans, E., & Melis, K. (2021). Going online for groceries: Drivers of category-level share of wallet expansion. Journal of Retailing, 97(2), 154–172, https://doi.org/10.1016/j.jretai.2020.05.003
Chalik, F.R., & Faturohman, T. (2022). Customer satisfaction of e-wallet user: an adoption of information system success model. International Symposia in Economic Theory and Econometrics, 30, 61–83, doi:10.1108/S1571-038620220000030005
Chen, K., Luo, P., & Wang, H. (2017). An influence framework on product word-of-mouth (WoM) measurement. Infor-mation & Management, 54(2), 228-240, https://doi.org/10.1016/j.im.2016.06.010
Foster, B., Hurriyati, R., & Johansyah, M.D. (2022). The Effect of Product Knowledge, Perceived Benefits, and Percep-tions of Risk on Indonesian Student Decisions to Use E-Wallets for Warunk Upnormal. Sustainability 14, 6475. https://doi.org/10.3390/su14116475
Gupta, G., & Singhania, K. (2021). Consumption of OTT Media Streaming in COVID-19 Lockdown: Insights from PLS Analysis. Vision, 25(1), 36–46. https://doi.org/10.1177/0972262921989118
Jawad, A.I., Parvin, T., & Hosain, M.S. (2022). Intention to adopt mobile-based online payment platforms in three Asian countries: an application of the extended Technology Acceptance Model. Journal of Contemporary Marketing Science, 5(1), 92-113. https://doi.org/10.1108/JCMARS-08-2021-0030
Jeljeli, R., Farhi, F., & Hamdi, M.E. (2022). The mediating role of gender in social media shopping acceptance: from the WOM perspective, Heliyon, 8(10), e11065, https://doi.org/10.1016/j.heliyon.2022.e11065.
Kim, W.G., Lim, H., & Brymer, R.A. (2015). The effectiveness of managing social media on hotel performance. Interna-tional Journal of Hospitality Management, 44, 165-171, https://doi.org/10.1016/j.ijhm.2014.10.014
Konuk, F.A. (2019). The influence of perceived food quality, price fairness, perceived value and satisfaction on custom-ers’ revisit and word-of-mouth intentions towards organic food restaurants. Journal of Retailing and Consumer Ser-vices, 50, 103-110, https://doi.org/10.1016/j.jretconser.2019.05.005
Kowalczuk, P. (2018). Consumer acceptance of smart speakers: a mixed methods approach. Journal of Research in Inter-active Marketing, 12(4), 418-431. https://doi.org/10.1108/JRIM-01-2018-0022
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
Lew, S., Tan, G.W.H., Loh, X.M., Hew, J.J., & Ooi, K.B. (2020). The disruptive mobile wallet in the hospitality industry: an extended mobile technology acceptance model. Technology in Society, 63, 101430, DOI: 10.1016/j.techsoc.2020.101430.
Li, C., Mirosa, M., & Bremer, P. (2020). Review of Online Food Delivery Platforms and their Impacts on Sustainability. Sustainability, 12(14), 5528, https://doi.org/10.3390/su12145528
Mishra, P., Bakshi, M., & Singh, R. (2016). Impact of consumption emotions on WOM in movie consumption: Empirical evidence from emerging markets. Australasian Marketing Journal, 24(1), 59-67, https://doi.org/10.1016/j.ausmj.2015.12.005
Moghavvemi, S., Salleh, N.A.M., & Standing, C. (2016). Entrepreneurs adoption of information system innovation: The impact of individual perception and exogenous factors on entrepreneurs behavior. Internet Research, 26(5), 1181-1208, DOI 10.1108/IntR-01-2014-0024
Ramanathan, U., Subramanian, N., & Parrott, G. (2017). Role of social media in retail network operations and marketing to enhance customer satisfaction. International Journal of Operations & Production Management, 37(1), 105-123, DOI 10.1108/IJOPM-03-2015-0153
Palumian, Y., Jayanti, S.C.K., Indriyani, R., & Tarigan, Z.J.H.T. (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
Pertiwi, D., Suprapto, W., & Pratama, E. (2020). Perceived usage of E-Wallet among the Y generation in Surabaya based on technology acceptance model. Jurnal Teknik Industri, 22(1), 17-24, doi: 10.9744/jti.22.1.17-24.
Phan, A.C., Nguyen, H.T., & Pham, T.X.T. (2021). Relationship between service recovery, customer satisfaction and cus-tomer loyalty: Empirical evidence from e-retailing. Uncertain Supply Chain Management, 9(1) 1–10, DOI: 10.5267/j.uscm.2020.12.007
Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: an empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6-30, DOI 10.1108/JEIM-04-2012-0011
Sarmah, R., Dhiman, N., & Kanojia, H. (2021). Understanding intentions and actual use of mobile wallets by millennial: an extended TAM model perspective. Journal of Indian Business Research, 13(3), 361-381, DOI 10.1108/JIBR-06-2020-0214
Shin, J., Park, Y., & Lee, D. (2016). Strategic management of over-the-top services: Focusing on Korean consumer adop-tion behavior. Technological Forecasting and Social Change, 112, 329–337. https://doi.org/10.1016/j.techfore.2016.08.004
Siagian, H., Tarigan, Z.J.H., & 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, DOI: 10.5267/j.ijdns.2022.7.004
Singh, N., Sinha, N., & Liébana-Cabanillas, F.J. (2020). Determining factors in the adoption and recommendation of mo-bile wallet services in India: analysis of the effect of innovativeness, stress to use and social influence. International Journal of Information Management, 50, 191-205, DOI: 10.1016/j.ijinfomgt.2019.05.022.
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
Tarigan, Z.J.H., Jonathan, M., Siagian, H. and Basana, S.R. (2022). The effect of e-WOM through intention to use technol-ogy and social media community for mobile payments during the COVID-19. International Journal of Data and Net-work Science, 6(4), 563-572, DOI: 10.5267/j.ijdns.2021.11.008
Teng, S., & Khong, K.W. (2021). Examining actual consumer usage of E-wallet: A case study of big data analytics. Com-puters in Human Behavior, 121, 106778, https://doi.org/10.1016/j.chb.2021.106778
Yang, M., Mamun, A.A., Mohiuddin, M., Nawi, N.C., & Zainol, N.R. (2021). Cashless Transactions: A Study on Intention and Adoption of e-Wallets. Sustainability, 13, 831, https://doi.org/10.3390/su13020831
Yu, Y., Li, X., & Jai, T.-M. (2017). The impact of green experience on customer satisfaction: evidence from TripAdvisor. International Journal of Contemporary Hospitality Management, 29(5), 1340-1361, DOI 10.1108/IJCHM-07-2015-0371
Zhang, L., Nyheim, P., & Mattila, A.S. (2014). The effect of power and gender on technology acceptance. Journal of Hos-pitality and Tourism Technology, 5(3), 299-314, DOI 10.1108/JHTT-03-2014-0008