How to cite this paper
Siagian, H., Tarigan, Z., Basuki, R & Basana, S. (2023). The effect of excessive use of social networking sites on customer loyalty, mediating role of perceived usefulness, essential information, behavioral intention.International Journal of Data and Network Science, 7(4), 1669-1682.
Refrences
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Aji, H.M., & Adawiyah, W.R. (2022). How e-wallets encourage excessive spending behavior among young adult consum-ers? Journal of Asia Business Studies, 16(6), 868-884. https://doi.org/10.1108/JABS-01-2021-0025
Al-Dwaikat, T.N., Aldalaykeh, M., Ta'an, W., & Rababa, M. (2020). The relationship between social networking site usage and psychological distress among undergraduate students during COVID-19 lockdown. Heliyon, 6, e05695, https://doi.org/10.1016/j.heliyon.2020.e05695
Al-Youzbaky, B.A., & Hanna, R.D. (2022). The effect of information overload, and social media fatigue on online con-sumers purchasing decisions: the mediating role of technostress and information anxiety. Journal of System and Man-agement Sciences, 12(2), 195-220, doi: https://doi.org/10.33168/JSMS.2022.0209.
Andrich, R., Salatino, C., Mylles, E., Winkelmann, P., Bertel-Venezia, Y., Lyhne, T., Wouters, M., & Chapman, R. (2019). The global assistive technology information network: Progress and challenges. Global Perspectives on Assistive Tech-nology: Proceedings of the GReAT Consultation, https://apps.who.int/iris/handle/10665/330372
Attar, R.W., Amidi, A., & Hajli, N. (2023). The role of social presence and trust on customer loyalty. British Food Jour-nal, 125(1), 96-111. https://doi.org/10.1108/BFJ-11-2021-1218
Azazz, A.M.S., & Elshaer, I.A. (2022). Amid the COVID-19 pandemic, social media usage and food waste intention: the role of excessive buying behavior and religiosity. Sustainability, 14(11), 6786, doi: https://doi.org/10.3390/su14116786.
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), 253-262, DOI: 10.5267/j.ijdns.2021.9.003
Bossen, C.B., & Kottasz, R. (2020). Uses and gratifications sought by pre-adolescent and adolescent TikTok consumers. Young Consumers, 21(4), 463-478, https://doi.org/10.1108/YC-07-2020-1186
Cao, X., Masood, A., Luqman, A., & Luqman, A. (2018). Excessive use of mobile social networking sites and poor aca-demic performance: Antecedents and consequences from stressor-strain-outcome perspective. Computers in Human Behavior, 85, 163-174, https://doi.org/10.1016/j.chb.2018.03.023
Chang, H.H., Wong, K.H., & Lee, H.C. (2022). Peer privacy protection motivation and action on social networking sites: Privacy self-efficacy and information security as moderators. Electronic Commerce Research and Applications, 54, 101176.
https://doi.org/10.1016/j.elerap.2022.101176
Chen, W., Fan, C.-Y., Liu, Q-X., Zhou, Z.-K., & Xie, X.-C. (2016). Passive social network site use and subjective well-being: A moderated mediation model. Computers in Human Behavior, 64, 507-514, http://dx.doi.org/10.1016/j.chb.2016.04.038
Coundouris, S.P., Tyson, C.L., & Henry, J.D. (2021). Social networking site use and relationship quality: A double-edged sword. Computers in Human Behavior, 123, 106871, https://doi.org/10.1016/j.chb.2021.106871
Cudo, A., Toroj, M., Demczuk, M., & Francuz, P. (2020). Dysfunction of self-control in Facebook addiction: Impulsivity is the key. Psychiatric Quarterly, 91(1), 91–101, https://doi.org/10.1007/s11126-019-09683-8
Danemayer, J., Holloway, C., Cho, Y., Berthouze, N., Singh, A., Bhot, W., Dixon, O., Grobelnik, M., & Shawe-Taylor, J. (2023). Seeking information about assistive technology: Exploring current practices, challenges, and the need for smarter systems. International Journal of Human-Computer Studies, 177, 103078, https://doi.org/10.1016/j.ijhcs.2023.103078
Fan, A., Wu, Q., Yan, X., Lu, X., Ma, Y., & Xiao, X. (2021). Research on influencing factors of personal information dis-closure intention of social media in China. Data and Information Management, 5(1), 195–207. https://doi.org/10.2478/DIM-2020-0038
Giwah, A.D., Wang, L., Levy, Y., & Hur, I. (2020). Empirical assessment of mobile device users’ information security be-havior towards data breach: Leveraging protection motivation theory. Journal of Intellectual Capital, 21(2), 215–233. https://doi.org/10.1108/JIC-03-2019-0063
Gong, X., Zhang, K.Z.K., Chen, C., Cheung, C.M.K., & Lee, M.K.O. (2020). Antecedents and consequences of excessive online social gaming: a social learning perspective. Information Technology & People, 33(2), 657-688. https://doi.org/10.1108/ITP-03-2018-0138
Guo, Y., Duan, Q.S., & Wang, X.W. (2018). An empirical study on privacy information disclosure behaviour of mobile learning users. Journal of Modern Information, 38(4), 98-105, doi: 10.1111/jphp.13178
Ho, S.S., Lwin, M.O., & Lee, E.W.J. (2017). Till logout do us part? Comparison of factors predicting excessive social network sites use and addiction between Singaporean adolescents and adults. Computers in Human Behavior, 75, 632-642, http://dx.doi.org/10.1016/j.chb.2017.06.002
Hubert, M., Blut, M., Christian, B., Zhang, R.W., Koch, V., & Riedl, R. (2019). The influence of acceptance and adoption drivers on smart home usage. European Journal of Marketing, 53(6), 1073-1098, DOI 10.1108/EJM-12-2016-0794
Kante, M., & Michel, B. (2023). Use of partial least squares structural equation modelling (PLS-SEM) in privacy and dis-closure research on social network sites: A systematic review. Computers in Human Behavior Reports, 10, 100291, https://doi.org/10.1016/j.chbr.2023.100291
Khan, N.A., Azhar, M., Rahman, M.N., & Akhtar, M.J (2022). Scale development and validation for usage of social net-working sites during COVID-19. Technology in Society, 70, 102020, https://doi.org/10.1016/j.techsoc.2022.102020
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
Kuss, D. J., & Griffiths, M. D. (2017). Social networking sites and addiction: Ten lessons learned. International Journal of Environmental Research and Public Health, 14(3), 311. https://doi.org/10.3390/ijerph14030311
Lavinda. (2023). Pengguna Internet Indonesia 215 Juta Jiwa pada 2023, Naik 1,17%, https://katadata.co.id/lavinda/digital/646342df38af1/apjii-pengguna-internet-indonesia-215-juta-jiwa-pada-2023-naik-1-17, (Accesed on 16 June 2023)
Lee, S., & Kim, B.G. (2017). The impact of qualities of social network service on the continuance usage intention. Man-agement Decision, 55(4), 701-729. https://doi.org/10.1108/MD-10-2016-0731
Li, K., Cheng, L. & Teng, C.-I. (2020). Voluntary sharing and mandatory provision: Private information disclosure on so-cial networking sites. Information Processing and Management, 57, 102128, https://doi.org/10.1016/j.ipm.2019.102128
Li, K., Lin, Z., & Wang, X. (2015). An empirical analysis of users’ privacy disclosure behaviors on social network sites. Information & Management, 52(7), 882-891, https://doi.org/10.1016/j.im.2015.07.006
Litt, E. (2013). Understanding social network site users’ privacy tool use. Computers in Human Behavior, 29, 1649–1656, http://dx.doi.org/10.1016/j.chb.2013.01.049
Liu, Z., & Wang, X. (2018). How to regulate individuals’ privacy boundaries on social network sites: A cross-cultural comparison. Information & Management, 55(8), 1005–1023, https://doi.org/10.1016/j.im.2018.05.006
Mashayekhi, M., & Head, M. (2022). Developing social capital through professionally oriented social network sites. In-formation & Management, 59, 103664, https://doi.org/10.1016/j.im.2022.103664
Masood, A., Luqman, A., Feng, Y., & Ali, A. (2020). Adverse consequences of excessive social networking site use on ac-ademic performance: Explaining underlying mechanism from stress perspective. Computers in Human Behavior, 113, 106476, https://doi.org/10.1016/j.chb.2020.106476
Miranda, S., Trigo, I., Rodrigues, R., & Duarte, M. (2023). Addiction to social networking sites: Motivations, flow, and sense of belonging at the root of addiction. Technological Forecasting & Social Change, 188, 122280, https://doi.org/10.1016/j.techfore.2022.122280
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
Nugroho, A., Siagian, A., Oktavio, A., & Tarigan, Z.J.H. (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. DOI: 10.5267/j.ijdns.2022.11.007
Palumian, Y., Jayanti, S.C.K., Indriyani, R., & Tarigan, Z. (2021). Technology acceptance model for online cinema ticket-ing among moviegoers in java island Indonesia: An empirical study on tix id application. IOP Conference Series: Ma-terials Science and Engineering, 1010(1), 012037, doi:10.1088/1757-899X/1010/1/012037
Pilatti, A., Bravo, A.J., Michelini, Y., Aguirre, P., & Pautassi, R.M. (2021). Self-control and problematic use of social networking sites: Examining distress tolerance as a mediator among Argentinian college students. Addictive Behaviors Reports, 14, 100389, https://doi.org/10.1016/j.abrep.2021.100389
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
Ruggieri, S., Gagliano, M., Bonfanti, R.C., Cucinella, N., & Ingoglia, S. (2023). Interaction through social media: Devel-opment and validation of a social network site self-efficacy scale (SNS-SES). Acta Psychologica, 235, 103889, https://doi.org/10.1016/j.actpsy.2023.103889
Saleem, S., Feng, Y., & Luqman, A. (2021). Excessive SNS use at work, technological conflicts and employee perfor-mance: a social-cognitive-behavioral perspective. Technology in Society, 65, 101584, doi: https://doi.org/10.1016/j.techsoc.2021.101584.
Salhab, H.A., Al-Amarneh, A., Aljabaly, S.A., Al Zoubi, M.M., & Othman, M.D. (2023). The impact of social media mar-keting on purchase intention: The mediating role of brand trust and image. International Journal of Data and Network Science, 7(2), 591-600. DOI: 10.5267/j.ijdns.2023.3.012
Sarfaz, M. Khawaja, K.F., Ivascu, L., & Khalil, M. (2023). An empirical study on cyber ostracism and students’ discontin-uous usage intention of social networking sites during the COVID-19 pandemic: A mediated and moderated model. Studies in Educational Evaluation, 76, 101235, https://doi.org/10.1016/j.stueduc.2023.101235
Saura, J.R., Palacios-Marqués, D., & Iturricha-Fernàndez, A. (2021). Ethical design in social media: assessing the main performance measurements of user online behavior modification. Journal of Business Research, 129, 271–281, https://doi.org/10.1016/j.jbusres.2021.03.001
Schmuck, D., Karsay, K., Matthes, J., & Stevic, A. (2019). Looking Up and Feeling Down”. The influence of mobile social networking site use on adult smartphone users' upward social comparison, self-esteem, and well-being. Telematics and Informatics, 42, 101240, https://doi.org/10.1016/j.tele.2019.101240
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Al-Dwaikat, T.N., Aldalaykeh, M., Ta'an, W., & Rababa, M. (2020). The relationship between social networking site usage and psychological distress among undergraduate students during COVID-19 lockdown. Heliyon, 6, e05695, https://doi.org/10.1016/j.heliyon.2020.e05695
Al-Youzbaky, B.A., & Hanna, R.D. (2022). The effect of information overload, and social media fatigue on online con-sumers purchasing decisions: the mediating role of technostress and information anxiety. Journal of System and Man-agement Sciences, 12(2), 195-220, doi: https://doi.org/10.33168/JSMS.2022.0209.
Andrich, R., Salatino, C., Mylles, E., Winkelmann, P., Bertel-Venezia, Y., Lyhne, T., Wouters, M., & Chapman, R. (2019). The global assistive technology information network: Progress and challenges. Global Perspectives on Assistive Tech-nology: Proceedings of the GReAT Consultation, https://apps.who.int/iris/handle/10665/330372
Attar, R.W., Amidi, A., & Hajli, N. (2023). The role of social presence and trust on customer loyalty. British Food Jour-nal, 125(1), 96-111. https://doi.org/10.1108/BFJ-11-2021-1218
Azazz, A.M.S., & Elshaer, I.A. (2022). Amid the COVID-19 pandemic, social media usage and food waste intention: the role of excessive buying behavior and religiosity. Sustainability, 14(11), 6786, doi: https://doi.org/10.3390/su14116786.
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), 253-262, DOI: 10.5267/j.ijdns.2021.9.003
Bossen, C.B., & Kottasz, R. (2020). Uses and gratifications sought by pre-adolescent and adolescent TikTok consumers. Young Consumers, 21(4), 463-478, https://doi.org/10.1108/YC-07-2020-1186
Cao, X., Masood, A., Luqman, A., & Luqman, A. (2018). Excessive use of mobile social networking sites and poor aca-demic performance: Antecedents and consequences from stressor-strain-outcome perspective. Computers in Human Behavior, 85, 163-174, https://doi.org/10.1016/j.chb.2018.03.023
Chang, H.H., Wong, K.H., & Lee, H.C. (2022). Peer privacy protection motivation and action on social networking sites: Privacy self-efficacy and information security as moderators. Electronic Commerce Research and Applications, 54, 101176.
https://doi.org/10.1016/j.elerap.2022.101176
Chen, W., Fan, C.-Y., Liu, Q-X., Zhou, Z.-K., & Xie, X.-C. (2016). Passive social network site use and subjective well-being: A moderated mediation model. Computers in Human Behavior, 64, 507-514, http://dx.doi.org/10.1016/j.chb.2016.04.038
Coundouris, S.P., Tyson, C.L., & Henry, J.D. (2021). Social networking site use and relationship quality: A double-edged sword. Computers in Human Behavior, 123, 106871, https://doi.org/10.1016/j.chb.2021.106871
Cudo, A., Toroj, M., Demczuk, M., & Francuz, P. (2020). Dysfunction of self-control in Facebook addiction: Impulsivity is the key. Psychiatric Quarterly, 91(1), 91–101, https://doi.org/10.1007/s11126-019-09683-8
Danemayer, J., Holloway, C., Cho, Y., Berthouze, N., Singh, A., Bhot, W., Dixon, O., Grobelnik, M., & Shawe-Taylor, J. (2023). Seeking information about assistive technology: Exploring current practices, challenges, and the need for smarter systems. International Journal of Human-Computer Studies, 177, 103078, https://doi.org/10.1016/j.ijhcs.2023.103078
Fan, A., Wu, Q., Yan, X., Lu, X., Ma, Y., & Xiao, X. (2021). Research on influencing factors of personal information dis-closure intention of social media in China. Data and Information Management, 5(1), 195–207. https://doi.org/10.2478/DIM-2020-0038
Giwah, A.D., Wang, L., Levy, Y., & Hur, I. (2020). Empirical assessment of mobile device users’ information security be-havior towards data breach: Leveraging protection motivation theory. Journal of Intellectual Capital, 21(2), 215–233. https://doi.org/10.1108/JIC-03-2019-0063
Gong, X., Zhang, K.Z.K., Chen, C., Cheung, C.M.K., & Lee, M.K.O. (2020). Antecedents and consequences of excessive online social gaming: a social learning perspective. Information Technology & People, 33(2), 657-688. https://doi.org/10.1108/ITP-03-2018-0138
Guo, Y., Duan, Q.S., & Wang, X.W. (2018). An empirical study on privacy information disclosure behaviour of mobile learning users. Journal of Modern Information, 38(4), 98-105, doi: 10.1111/jphp.13178
Ho, S.S., Lwin, M.O., & Lee, E.W.J. (2017). Till logout do us part? Comparison of factors predicting excessive social network sites use and addiction between Singaporean adolescents and adults. Computers in Human Behavior, 75, 632-642, http://dx.doi.org/10.1016/j.chb.2017.06.002
Hubert, M., Blut, M., Christian, B., Zhang, R.W., Koch, V., & Riedl, R. (2019). The influence of acceptance and adoption drivers on smart home usage. European Journal of Marketing, 53(6), 1073-1098, DOI 10.1108/EJM-12-2016-0794
Kante, M., & Michel, B. (2023). Use of partial least squares structural equation modelling (PLS-SEM) in privacy and dis-closure research on social network sites: A systematic review. Computers in Human Behavior Reports, 10, 100291, https://doi.org/10.1016/j.chbr.2023.100291
Khan, N.A., Azhar, M., Rahman, M.N., & Akhtar, M.J (2022). Scale development and validation for usage of social net-working sites during COVID-19. Technology in Society, 70, 102020, https://doi.org/10.1016/j.techsoc.2022.102020
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
Kuss, D. J., & Griffiths, M. D. (2017). Social networking sites and addiction: Ten lessons learned. International Journal of Environmental Research and Public Health, 14(3), 311. https://doi.org/10.3390/ijerph14030311
Lavinda. (2023). Pengguna Internet Indonesia 215 Juta Jiwa pada 2023, Naik 1,17%, https://katadata.co.id/lavinda/digital/646342df38af1/apjii-pengguna-internet-indonesia-215-juta-jiwa-pada-2023-naik-1-17, (Accesed on 16 June 2023)
Lee, S., & Kim, B.G. (2017). The impact of qualities of social network service on the continuance usage intention. Man-agement Decision, 55(4), 701-729. https://doi.org/10.1108/MD-10-2016-0731
Li, K., Cheng, L. & Teng, C.-I. (2020). Voluntary sharing and mandatory provision: Private information disclosure on so-cial networking sites. Information Processing and Management, 57, 102128, https://doi.org/10.1016/j.ipm.2019.102128
Li, K., Lin, Z., & Wang, X. (2015). An empirical analysis of users’ privacy disclosure behaviors on social network sites. Information & Management, 52(7), 882-891, https://doi.org/10.1016/j.im.2015.07.006
Litt, E. (2013). Understanding social network site users’ privacy tool use. Computers in Human Behavior, 29, 1649–1656, http://dx.doi.org/10.1016/j.chb.2013.01.049
Liu, Z., & Wang, X. (2018). How to regulate individuals’ privacy boundaries on social network sites: A cross-cultural comparison. Information & Management, 55(8), 1005–1023, https://doi.org/10.1016/j.im.2018.05.006
Mashayekhi, M., & Head, M. (2022). Developing social capital through professionally oriented social network sites. In-formation & Management, 59, 103664, https://doi.org/10.1016/j.im.2022.103664
Masood, A., Luqman, A., Feng, Y., & Ali, A. (2020). Adverse consequences of excessive social networking site use on ac-ademic performance: Explaining underlying mechanism from stress perspective. Computers in Human Behavior, 113, 106476, https://doi.org/10.1016/j.chb.2020.106476
Miranda, S., Trigo, I., Rodrigues, R., & Duarte, M. (2023). Addiction to social networking sites: Motivations, flow, and sense of belonging at the root of addiction. Technological Forecasting & Social Change, 188, 122280, https://doi.org/10.1016/j.techfore.2022.122280
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
Nugroho, A., Siagian, A., Oktavio, A., & Tarigan, Z.J.H. (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. DOI: 10.5267/j.ijdns.2022.11.007
Palumian, Y., Jayanti, S.C.K., Indriyani, R., & Tarigan, Z. (2021). Technology acceptance model for online cinema ticket-ing among moviegoers in java island Indonesia: An empirical study on tix id application. IOP Conference Series: Ma-terials Science and Engineering, 1010(1), 012037, doi:10.1088/1757-899X/1010/1/012037
Pilatti, A., Bravo, A.J., Michelini, Y., Aguirre, P., & Pautassi, R.M. (2021). Self-control and problematic use of social networking sites: Examining distress tolerance as a mediator among Argentinian college students. Addictive Behaviors Reports, 14, 100389, https://doi.org/10.1016/j.abrep.2021.100389
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
Ruggieri, S., Gagliano, M., Bonfanti, R.C., Cucinella, N., & Ingoglia, S. (2023). Interaction through social media: Devel-opment and validation of a social network site self-efficacy scale (SNS-SES). Acta Psychologica, 235, 103889, https://doi.org/10.1016/j.actpsy.2023.103889
Saleem, S., Feng, Y., & Luqman, A. (2021). Excessive SNS use at work, technological conflicts and employee perfor-mance: a social-cognitive-behavioral perspective. Technology in Society, 65, 101584, doi: https://doi.org/10.1016/j.techsoc.2021.101584.
Salhab, H.A., Al-Amarneh, A., Aljabaly, S.A., Al Zoubi, M.M., & Othman, M.D. (2023). The impact of social media mar-keting on purchase intention: The mediating role of brand trust and image. International Journal of Data and Network Science, 7(2), 591-600. DOI: 10.5267/j.ijdns.2023.3.012
Sarfaz, M. Khawaja, K.F., Ivascu, L., & Khalil, M. (2023). An empirical study on cyber ostracism and students’ discontin-uous usage intention of social networking sites during the COVID-19 pandemic: A mediated and moderated model. Studies in Educational Evaluation, 76, 101235, https://doi.org/10.1016/j.stueduc.2023.101235
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