How to cite this paper
Rahmayanti, P., Dharmanegara, I., Yasa, N., Sukaatmadja, I., Pramudana, K., Rahanata, G., Giantari, I & Martaleni, M. (2022). What drives millennials and zillennials continuously using instant messaging? Perspective from Indonesia.International Journal of Data and Network Science, 6(1), 17-26.
Refrences
Ahn, J., Lee, C. K., Back, K. J., & Schmitt, A. (2019). Brand experiential value for creating integrated resort customers’ co-creation behavior. International journal of hospitality management, 81, 104-112.
Aji, H. M., Albari, A., Muthohar, M., Sumadi, S., Sigit, M., Muslichah, I., & Hidayat, A. (2020). Investigating the deter-minants of online infaq intention during the COVID-19 pandemic: an insight from Indonesia. Journal of Islamic Ac-counting and Business Research.
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological bulletin, 82(2), 261.
Akram, M. S., Malik, A., Shareef, M. A., & Goraya, M. A. S. (2019). Exploring the interrelationships between technologi-cal predictors and behavioral mediators in online tax filing: The moderating role of perceived risk. Government Infor-mation Quarterly, 36(2), 237-251.
Akter, S., & Wamba, S. F. (2016). Big data analytics in E-commerce: a systematic review and agenda for future research. Electronic Markets, 26(2), 173-194.
Ali, M., Raza, S. A., Khamis, B., Puah, C. H., & Amin, H. (2021). How perceived risk, benefit and trust determine user Fintech adoption: a new dimension for Islamic finance. foresight.
Bussiness Insider. (2019). WhatsApp Hacked and Attackers Installed NSO Group Spyware. http://businessinsider.com/
Concepcion, M. M., & Orillano, M. P. (2021). The effect of perceived online risk and trust affecting theconsumers’ behav-ioral intention in usingelectronic commerce. The Journal of Social Sciences Studies and Research, 1(01), 1-11.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Deng, Z., & Liu, S. (2017). Understanding consumer health information-seeking behavior from the perspective of the risk perception attitude framework and social support in mobile social media websites. International journal of medical in-formatics, 105, 98-109.
Gadhiya, P., & Panchal, N. (2021). Young Women's Continuance Intentions to use Communication and Social Media Apps. Indian Journal of Marketing, 51(3), 41-55.
García-Fernández, J., Gálvez-Ruíz, P., Fernández-Gavira, J., Vélez-Colón, L., Pitts, B., & Bernal-García, A. (2018). The effects of service convenience and perceived quality on perceived value, satisfaction and loyalty in low-cost fitness centers. Sport Management Review, 21(3), 250-262.
Ghazali, E., Soon, P. C., Mutum, D. S., & Nguyen, B. (2017). Health and cosmetics: Investigating consumers’ values for buying organic personal care products. Journal of Retailing and Consumer Services, 39, 154-163.
Gong, Z., Han, Z., Li, X., Yu, C., & Reinhardt, J. D. (2019). Factors influencing the adoption of online health consultation services: the role of subjective norm, trust, perceived benefit, and offline habit. Frontiers in public health, 7, 286.
Ha, T., Kim, S., Seo, D., & Lee, S. (2020). Effects of explanation types and perceived risk on trust in autonomous vehicles. Transportation research part F: traffic psychology and behaviour, 73, 271-280.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Prac-tice, 19(2), 139-152.
Hajli, N., Shanmugam, M., Powell, P., & Love, P. E. (2015). A study on the continuance participation in on-line communi-ties with social commerce perspective. Technological Forecasting and Social Change, 96, 232-241.
Nuryasman, M. N., & Warningsih, S. (2021). Determining Factors of Digital Wallet Usage. Jurnal Manajemen, 25(2), 271-289.
Hitosugi, K. (2011). Trust on the web: the power of subjective norm across cultures. University of Hawaii at Manoa.[On-line]. Available at URL: http://claireh. weebly. com/uploads/5/2/9/9/5299882/hitosugi_sninonlinetrust_crosscultureconf_dec2011. pdf [Accessed October 14th, 2014].
Ho, S. M., Ocasio-Velázquez, M., & Booth, C. (2017). Trust or consequences? Causal effects of perceived risk and subjec-tive norms on cloud technology adoption. Computers & Security, 70, 581-595.
Hossain, M. A. (2019). Effects of uses and gratifications on social media use: The Facebook case with multiple mediator analysis. PSU Research Review.
Huang, H. Y., & Shih, S. P. (2019). REMAINING ON CURRENT SOCIAL NETWORK SITES: AN UNCONSCIOUS AND CONSCIOUS PERSPECTIVE. Journal of Electronic Commerce Research, 20(2).
Jayashankar, P., Nilakanta, S., Johnston, W. J., Gill, P., & Burres, R. (2018). IoT adoption in agriculture: the role of trust, perceived value and risk. Journal of Business & Industrial Marketing.
Khan, S. U., Liu, X., Khan, I. U., Liu, C., & Rasheed, M. I. (2020). Assessing the investors' acceptance of electronic stock trading in a developing country: the Mediating role of perceived risk dimensions. Information Resources Management Journal (IRMJ), 33(1), 59-82.
Kompasiana. (2021). Indonesia Didominasi Generasi Milenial dan Generasi Z, Apa Plus Minusnya?. https://www.kompas.com/tren/read/2021/01/23/163200065/indonesia-didominasi-generasi-milenial-dan-generasi-z-apa-plus-minusnya-?page=all
Kumar, V., & Reinartz, W. (2016). Creating enduring customer value. Journal of Marketing, 80(6), 36-68.
Kumparan. (2019). Jangan Salah, Ini Bedanya Milenial dengan Generasi Z. https://kumparan.com/millennial/jangan-salah-ini-bedanya-milenial-dengan-generasi-z-1qfqa4Ibm7I
Kurdi, B. A., Alshurideh, M., Nuseir, M., Aburayya, A., & Salloum, S. A. (2021, March). The effects of subjective norm on the intention to use social media networks: an exploratory study using PLS-SEM and machine learning approach. In International Conference on Advanced Machine Learning Technologies and Applications (pp. 581-592). Springer, Cham.
Kusumawardhani, A., Batu, K. L., & Aqmala, D. (2019). How Green should Trust, Norm and Attitude be Colored? An Empirical Research in Asian Market Consumers. Calitatea, 20(168), 118-126.
Lai, Y. H. (2015). Enhance online purchase intentions: the role of perceived value, trust and commitment. Journal of Tourism and Hospitality Management, 3(2), 89-99.
Lee, J. W. C., & Tanusia, A. (2016, August). Energy conservation behavioural intention: Attitudes, subjective norm and self-efficacy. In IOP conference series: Earth and environmental science (Vol. 40, No. 1, p. 012087). IOP Publishing.
Liu, R. D., Wang, J., Gu, D., Ding, Y., Oei, T. P., Hong, W., ... & Li, Y. M. (2019). The effect of parental phubbing on teenager’s mobile phone dependency behaviors: The mediation role of subjective norm and dependency intention. Psy-chology research and behavior management, 12, 1059.
Milly, N., Xun, S., Meena, M. E., & Cobbinah, B. B. (2021). Measuring Mobile Banking Adoption in Uganda Using the Technology Acceptance Model (TAM2) and Perceived Risk. Open Journal of Business and Management, 9(01), 397.
Mkhize, N. H. (2021). Influencing the adoption of microgeneration technologies using the theory of planned behaviour. South African Journal of Business Management, 52(1), 9.
Mou, J., Cui, Y., & Kurcz, K. (2020). Trust, risk and alternative website quality in B-buyer acceptance of cross-border E-commerce. Journal of Global Information Management (JGIM), 28(1), 167-188.
Mouakket, S. (2018). The role of personality traits in motivating users' continuance intention towards Facebook: Gender differences. The Journal of High Technology Management Research, 29(1), 124-140.
Nabavi, A., Taghavi-Fard, M. T., Hanafizadeh, P., & Taghva, M. R. (2016). Information technology continuance intention: A systematic literature review. International Journal of E-Business Research (IJEBR), 12(1), 58-95
Narahdita, A. P., Aisjah, S., & Kusniyah, N. (2020). Trust and Perceived Benefit as Antecedents of Reuse Intention in Mo-bile Payment Services. Jurnal Aplikasi Manajemen, 18(4), 682-691.
Nguyen, T. D., & Huynh, P. A. (2018, January). The roles of perceived risk and trust on e–payment adoption. In Interna-tional econometric conference of Vietnam (pp. 926-940). Springer, Cham.
Obaid, T. (2021). Predicting Mobile Banking Adoption: An Integration of TAM and TPB With Trust and Perceived Risk. Available at SSRN 3761669.
Park, M., Oh, H., & Lee, K. (2019). Security risk measurement for information leakage in IoT-based smart homes from a situational awareness perspective. Sensors, 19(9), 2148.
Rahmayanti, P.L.D dan Rahyuda, I.K. (2020). The Role Of Trust In Mediating The Effect Of Perceived Risk And Subjec-tive Norm On Continuous Usage Intention On Gopay Users In Denpasar. RJOAS: Russian Journal of Agricultural and Socio-Economic Sciences. 12(108), pp 69-80
Rogers, R. D., & Monsell, S. (1995). Costs of a predictible switch between simple cognitive tasks. Journal of experimental psychology: General, 124(2), 207.
Salleh & K., Laxman (2015). Examining the effect of external factors and context dependent beliefs of teachers in the use of ICT in teaching: Using an elaborated theory of planned behavior. Journal of Educational Technology Systems, 43(3), 289-319.
Shaikh, A. A., & Karjaluoto, H. (2016). On some misconceptions concerning digital banking and alternative delivery channels. International Journal of E-Business Research (IJEBR), 12(3), 1-16.
Statistica. (2021). Most popular global mobile messenger apps as of April 2021, based on number of monthly active users. https://www.statista.com/statistics/258749/most-popular-global-mobile-messenger-apps/
Suki, N.M, & Mohd Suki, N. (2020). Acquiring travel-related information from mobile social networking services: What factors predict social networking services users’ perceived value and trust in Malaysia?. Journal of Marketing Com-munications, 26(7), 742-760.
Sullivan, Y. W., & Kim, D. J. (2018). Assessing the effects of consumers’ product evaluations and trust on repurchase in-tention in e-commerce environments. International Journal of Information Management, 39, 199-219.
TING, S. L. J. (2020). Deconstructing the wallet: effects of social norms, trust and perceived risk on the adoption of mo-bile wallets.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
Wang, W. Y., Pauleen, D. J., & Zhang, T. (2016a). How social media applications affect B2B communication and improve business performance in SMEs. Industrial Marketing Management, 54, 4-14.
Wang, W. T., Wang, Y. S., & Liu, E. R. (2016b). The stickiness intention of group-buying websites: The integration of the commitment–trust theory and e-commerce success model. Information & Management, 53(5), 625-642.
Weng, G. S., Zailani, S., Iranmanesh, M., & Hyun, S. S. (2017). Mobile taxi booking application service’s continuance us-age intention by users. Transportation Research Part D: Transport and Environment, 57, 207-216.
Widiartini, P. R., & Yasa, N. N. K. (2017). Peran kepercayaan dalam memediasi hubungan persepsi nilai dengan niat menggunakan e-money. Matrik: Jurnal Manajemen, Strategi Bisnis dan Kewirausahaan, 11(1), 11-25.
Yi, J., Yuan, G., & Yoo, C. (2020). The effect of the perceived risk on the adoption of the sharing economy in the tourism industry: The case of Airbnb. Information Processing & Management, 57(1), 102108.
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1988). Communication and control processes in the delivery of service quality. Journal of marketing, 52(2), 35-48.
Aji, H. M., Albari, A., Muthohar, M., Sumadi, S., Sigit, M., Muslichah, I., & Hidayat, A. (2020). Investigating the deter-minants of online infaq intention during the COVID-19 pandemic: an insight from Indonesia. Journal of Islamic Ac-counting and Business Research.
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
Ajzen, I., & Fishbein, M. (1975). A Bayesian analysis of attribution processes. Psychological bulletin, 82(2), 261.
Akram, M. S., Malik, A., Shareef, M. A., & Goraya, M. A. S. (2019). Exploring the interrelationships between technologi-cal predictors and behavioral mediators in online tax filing: The moderating role of perceived risk. Government Infor-mation Quarterly, 36(2), 237-251.
Akter, S., & Wamba, S. F. (2016). Big data analytics in E-commerce: a systematic review and agenda for future research. Electronic Markets, 26(2), 173-194.
Ali, M., Raza, S. A., Khamis, B., Puah, C. H., & Amin, H. (2021). How perceived risk, benefit and trust determine user Fintech adoption: a new dimension for Islamic finance. foresight.
Bussiness Insider. (2019). WhatsApp Hacked and Attackers Installed NSO Group Spyware. http://businessinsider.com/
Concepcion, M. M., & Orillano, M. P. (2021). The effect of perceived online risk and trust affecting theconsumers’ behav-ioral intention in usingelectronic commerce. The Journal of Social Sciences Studies and Research, 1(01), 1-11.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Deng, Z., & Liu, S. (2017). Understanding consumer health information-seeking behavior from the perspective of the risk perception attitude framework and social support in mobile social media websites. International journal of medical in-formatics, 105, 98-109.
Gadhiya, P., & Panchal, N. (2021). Young Women's Continuance Intentions to use Communication and Social Media Apps. Indian Journal of Marketing, 51(3), 41-55.
García-Fernández, J., Gálvez-Ruíz, P., Fernández-Gavira, J., Vélez-Colón, L., Pitts, B., & Bernal-García, A. (2018). The effects of service convenience and perceived quality on perceived value, satisfaction and loyalty in low-cost fitness centers. Sport Management Review, 21(3), 250-262.
Ghazali, E., Soon, P. C., Mutum, D. S., & Nguyen, B. (2017). Health and cosmetics: Investigating consumers’ values for buying organic personal care products. Journal of Retailing and Consumer Services, 39, 154-163.
Gong, Z., Han, Z., Li, X., Yu, C., & Reinhardt, J. D. (2019). Factors influencing the adoption of online health consultation services: the role of subjective norm, trust, perceived benefit, and offline habit. Frontiers in public health, 7, 286.
Ha, T., Kim, S., Seo, D., & Lee, S. (2020). Effects of explanation types and perceived risk on trust in autonomous vehicles. Transportation research part F: traffic psychology and behaviour, 73, 271-280.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Prac-tice, 19(2), 139-152.
Hajli, N., Shanmugam, M., Powell, P., & Love, P. E. (2015). A study on the continuance participation in on-line communi-ties with social commerce perspective. Technological Forecasting and Social Change, 96, 232-241.
Nuryasman, M. N., & Warningsih, S. (2021). Determining Factors of Digital Wallet Usage. Jurnal Manajemen, 25(2), 271-289.
Hitosugi, K. (2011). Trust on the web: the power of subjective norm across cultures. University of Hawaii at Manoa.[On-line]. Available at URL: http://claireh. weebly. com/uploads/5/2/9/9/5299882/hitosugi_sninonlinetrust_crosscultureconf_dec2011. pdf [Accessed October 14th, 2014].
Ho, S. M., Ocasio-Velázquez, M., & Booth, C. (2017). Trust or consequences? Causal effects of perceived risk and subjec-tive norms on cloud technology adoption. Computers & Security, 70, 581-595.
Hossain, M. A. (2019). Effects of uses and gratifications on social media use: The Facebook case with multiple mediator analysis. PSU Research Review.
Huang, H. Y., & Shih, S. P. (2019). REMAINING ON CURRENT SOCIAL NETWORK SITES: AN UNCONSCIOUS AND CONSCIOUS PERSPECTIVE. Journal of Electronic Commerce Research, 20(2).
Jayashankar, P., Nilakanta, S., Johnston, W. J., Gill, P., & Burres, R. (2018). IoT adoption in agriculture: the role of trust, perceived value and risk. Journal of Business & Industrial Marketing.
Khan, S. U., Liu, X., Khan, I. U., Liu, C., & Rasheed, M. I. (2020). Assessing the investors' acceptance of electronic stock trading in a developing country: the Mediating role of perceived risk dimensions. Information Resources Management Journal (IRMJ), 33(1), 59-82.
Kompasiana. (2021). Indonesia Didominasi Generasi Milenial dan Generasi Z, Apa Plus Minusnya?. https://www.kompas.com/tren/read/2021/01/23/163200065/indonesia-didominasi-generasi-milenial-dan-generasi-z-apa-plus-minusnya-?page=all
Kumar, V., & Reinartz, W. (2016). Creating enduring customer value. Journal of Marketing, 80(6), 36-68.
Kumparan. (2019). Jangan Salah, Ini Bedanya Milenial dengan Generasi Z. https://kumparan.com/millennial/jangan-salah-ini-bedanya-milenial-dengan-generasi-z-1qfqa4Ibm7I
Kurdi, B. A., Alshurideh, M., Nuseir, M., Aburayya, A., & Salloum, S. A. (2021, March). The effects of subjective norm on the intention to use social media networks: an exploratory study using PLS-SEM and machine learning approach. In International Conference on Advanced Machine Learning Technologies and Applications (pp. 581-592). Springer, Cham.
Kusumawardhani, A., Batu, K. L., & Aqmala, D. (2019). How Green should Trust, Norm and Attitude be Colored? An Empirical Research in Asian Market Consumers. Calitatea, 20(168), 118-126.
Lai, Y. H. (2015). Enhance online purchase intentions: the role of perceived value, trust and commitment. Journal of Tourism and Hospitality Management, 3(2), 89-99.
Lee, J. W. C., & Tanusia, A. (2016, August). Energy conservation behavioural intention: Attitudes, subjective norm and self-efficacy. In IOP conference series: Earth and environmental science (Vol. 40, No. 1, p. 012087). IOP Publishing.
Liu, R. D., Wang, J., Gu, D., Ding, Y., Oei, T. P., Hong, W., ... & Li, Y. M. (2019). The effect of parental phubbing on teenager’s mobile phone dependency behaviors: The mediation role of subjective norm and dependency intention. Psy-chology research and behavior management, 12, 1059.
Milly, N., Xun, S., Meena, M. E., & Cobbinah, B. B. (2021). Measuring Mobile Banking Adoption in Uganda Using the Technology Acceptance Model (TAM2) and Perceived Risk. Open Journal of Business and Management, 9(01), 397.
Mkhize, N. H. (2021). Influencing the adoption of microgeneration technologies using the theory of planned behaviour. South African Journal of Business Management, 52(1), 9.
Mou, J., Cui, Y., & Kurcz, K. (2020). Trust, risk and alternative website quality in B-buyer acceptance of cross-border E-commerce. Journal of Global Information Management (JGIM), 28(1), 167-188.
Mouakket, S. (2018). The role of personality traits in motivating users' continuance intention towards Facebook: Gender differences. The Journal of High Technology Management Research, 29(1), 124-140.
Nabavi, A., Taghavi-Fard, M. T., Hanafizadeh, P., & Taghva, M. R. (2016). Information technology continuance intention: A systematic literature review. International Journal of E-Business Research (IJEBR), 12(1), 58-95
Narahdita, A. P., Aisjah, S., & Kusniyah, N. (2020). Trust and Perceived Benefit as Antecedents of Reuse Intention in Mo-bile Payment Services. Jurnal Aplikasi Manajemen, 18(4), 682-691.
Nguyen, T. D., & Huynh, P. A. (2018, January). The roles of perceived risk and trust on e–payment adoption. In Interna-tional econometric conference of Vietnam (pp. 926-940). Springer, Cham.
Obaid, T. (2021). Predicting Mobile Banking Adoption: An Integration of TAM and TPB With Trust and Perceived Risk. Available at SSRN 3761669.
Park, M., Oh, H., & Lee, K. (2019). Security risk measurement for information leakage in IoT-based smart homes from a situational awareness perspective. Sensors, 19(9), 2148.
Rahmayanti, P.L.D dan Rahyuda, I.K. (2020). The Role Of Trust In Mediating The Effect Of Perceived Risk And Subjec-tive Norm On Continuous Usage Intention On Gopay Users In Denpasar. RJOAS: Russian Journal of Agricultural and Socio-Economic Sciences. 12(108), pp 69-80
Rogers, R. D., & Monsell, S. (1995). Costs of a predictible switch between simple cognitive tasks. Journal of experimental psychology: General, 124(2), 207.
Salleh & K., Laxman (2015). Examining the effect of external factors and context dependent beliefs of teachers in the use of ICT in teaching: Using an elaborated theory of planned behavior. Journal of Educational Technology Systems, 43(3), 289-319.
Shaikh, A. A., & Karjaluoto, H. (2016). On some misconceptions concerning digital banking and alternative delivery channels. International Journal of E-Business Research (IJEBR), 12(3), 1-16.
Statistica. (2021). Most popular global mobile messenger apps as of April 2021, based on number of monthly active users. https://www.statista.com/statistics/258749/most-popular-global-mobile-messenger-apps/
Suki, N.M, & Mohd Suki, N. (2020). Acquiring travel-related information from mobile social networking services: What factors predict social networking services users’ perceived value and trust in Malaysia?. Journal of Marketing Com-munications, 26(7), 742-760.
Sullivan, Y. W., & Kim, D. J. (2018). Assessing the effects of consumers’ product evaluations and trust on repurchase in-tention in e-commerce environments. International Journal of Information Management, 39, 199-219.
TING, S. L. J. (2020). Deconstructing the wallet: effects of social norms, trust and perceived risk on the adoption of mo-bile wallets.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478.
Wang, W. Y., Pauleen, D. J., & Zhang, T. (2016a). How social media applications affect B2B communication and improve business performance in SMEs. Industrial Marketing Management, 54, 4-14.
Wang, W. T., Wang, Y. S., & Liu, E. R. (2016b). The stickiness intention of group-buying websites: The integration of the commitment–trust theory and e-commerce success model. Information & Management, 53(5), 625-642.
Weng, G. S., Zailani, S., Iranmanesh, M., & Hyun, S. S. (2017). Mobile taxi booking application service’s continuance us-age intention by users. Transportation Research Part D: Transport and Environment, 57, 207-216.
Widiartini, P. R., & Yasa, N. N. K. (2017). Peran kepercayaan dalam memediasi hubungan persepsi nilai dengan niat menggunakan e-money. Matrik: Jurnal Manajemen, Strategi Bisnis dan Kewirausahaan, 11(1), 11-25.
Yi, J., Yuan, G., & Yoo, C. (2020). The effect of the perceived risk on the adoption of the sharing economy in the tourism industry: The case of Airbnb. Information Processing & Management, 57(1), 102108.
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1988). Communication and control processes in the delivery of service quality. Journal of marketing, 52(2), 35-48.