Post-Pandemic Behavior: Continuance Intention of Baby Boomer and X Generation as New Users of Online Shopping Platforms during COVID-19
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Agag, G., Aboul-Dahab, S., Shehawy, Y. M., Alamoudi, H. O., Alharthi, M. D., & Hassan Abdelmoety, Z. (2022). Impacts of COVID-19 on the post-pandemic behaviour: The role of mortality threats and religiosity. Journal of Retailing and Consumer Services, 67(November 2021), 102964. https://doi.org/10.1016/j.jretconser.2022.102964
Alalwan, A. A. (2020). Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse. International Journal of Information Management, 50(April 2019), 28–44. https://doi.org/10.1016/j.ijinfomgt.2019.04.008
Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99–110. https://doi.org/10.1016/j.ijinfomgt.2017.01.002
Amoroso, D., & Lim, R. (2017). The mediating effects of habit on continuance intention. International Journal of Information Management, 37(6), 693–702. https://doi.org/10.1016/j.ijinfomgt.2017.05.003
Anastasi, A., & Urbina, S. (1998). Tes Psikologi ((Edisi Ter). PT. Prenhallindo.
Azizah, N. (2020). Studi : Gen X dan Baby Boomer Kian Gemar Belanja Daring. Republika.
Azwar, S. (2011). Reliabilitas dan Validitas. Pustaka Pelajar.
Bhattacherjee, A. (2001). Understandinignformatiosnystems Continuancea: An Expectation-Confirmatiom Model. MIS Quarterly, 25(3), 351–370.
Cho, J., & Lee, H. E. (2020). Post-adoption beliefs and continuance intention of smart device use among people with physical disabilities. Disability and Health Journal, 13(2), 100878. https://doi.org/10.1016/j.dhjo.2019.100878
Daragmeh, A., Lentner, C., & Sági, J. (2021). FinTech payments in the era of COVID-19: Factors influencing behavioral intentions of “Generation X” in Hungary to use mobile payment. Journal of Behavioral and Experimental Finance, 32, 100574. https://doi.org/10.1016/j.jbef.2021.100574
De’, R., Pandey, N., & Pal, A. (2020). Impact of digital surge during Covid-19 pandemic: A viewpoint on research and practice. International Journal of Information Management, 55(June), 102171. https://doi.org/10.1016/j.ijinfomgt.2020.102171
Eger, L., Komárková, L., Egerová, D., & Mičík, M. (2021). The effect of COVID-19 on consumer shopping behaviour: Generational cohort perspective. Journal of Retailing and Consumer Services, 61(March). https://doi.org/10.1016/j.jretconser.2021.102542
Gronlund, N. E., & Linn., R. L. (1990). Measurement and Evaluation in Teaching. Macmillan Publishing Company.
Guido, G., Amatulli, C., & Sestino, A. (2020). Elderly consumers and financial choices: A systematic review. Journal of Financial Services Marketing, 25(3–4), 76–85. https://doi.org/10.1057/s41264-020-00077-7
Hair, J. F., & et al., et al. (2010). Multivariate Data Analysis. Pearson Education International.
Jo, H. (2022). Continuance intention to use artificial intelligence personal assistant: type, gender, and use experience. Heliyon, 8(9), e10662. https://doi.org/10.1016/j.heliyon.2022.e10662
Kim, B., & Kang, M. (2016). How user loyalty and nonconscious inertia influence the continued use of mobile communications platforms. International Journal of Mobile Communications, 14(4), 387–410. https://doi.org/10.1504/IJMC.2016.077337
Kurniawan, I. A., Mugiono, M., & Wijayanti, R. (2022). the Effect of Perceived Usefulness, Perceived Ease of Use, and Social Influence Toward Intention To Use Mediated By Trust. Jurnal Aplikasi Manajemen, 20(1), 117–127. https://doi.org/10.21776/ub.jam.2022.020.01.12
Leung, X. Y., & Cai, R. (2021). How pandemic severity moderates digital food ordering risks during COVID-19: An application of prospect theory and risk perception framework. Journal of Hospitality and Tourism Management, 47(May), 497–505. https://doi.org/10.1016/j.jhtm.2021.05.002
Limayem, M., & Cheung, C. M. K. (2008). Understanding information systems continuance: The case of Internet-based learning technologies. Information and Management, 45(4), 227–232. https://doi.org/10.1016/j.im.2008.02.005
Lissitsa, S., & Kol, O. (2016). Generation X vs. Generation Y - A decade of online shopping. Journal of Retailing and Consumer Services, 31, 304–312. https://doi.org/10.1016/j.jretconser.2016.04.015
Lissitsa, S., & Laor, T. (2021). Baby Boomers, Generation X and Generation Y: Identifying generational differences in effects of personality traits in on-demand radio use. Technology in Society, 64(January 2020), 101526. https://doi.org/10.1016/j.techsoc.2021.101526
Magsamen-Conrad, K., & Dillon, J. M. (2020). Mobile technology adoption across the lifespan: A mixed methods investigation to clarify adoption stages, and the influence of diffusion attributes. Computers in Human Behavior, 112(August), 106456. https://doi.org/10.1016/j.chb.2020.106456
Malhotra, N. (2010). Marketing Research: An Applied Orientation (6th editio). Pearson education.
Mavilinda, H. F., & Nazaruddin, A. (2022). Analisis Website Quality, Customer Satisfaction dan Repurchase Intention pada Bisnis E-Commerce di Indonesia. Jurnal Bisnis Dan Manajemen, 9(1), 130–141. https://doi.org/10.26905/jbm.v9i1.7455
Neuman, W. L. (2007). Basic of social research: Qualitative and quantitative qpproaches (2nd ed.). Pearson Education, Inc.
Osgood, C. E., Suci, G. J., & Tannenbaum, P. H. (1957). The measurement of meaning. University of Illinois Press.
Pahrudin, P., Chen, C. T., & Liu, L. W. (2021). A modified theory of planned behavioral: A case of tourist intention to visit a destination post pandemic Covid-19 in Indonesia. Heliyon, 7(10), e08230. https://doi.org/10.1016/j.heliyon.2021.e08230
Pakarti, P., Dharmmesta, B. S., Nugroho, S. S., & Sutikno, B. (2022). Review of Customer Experience , Perceived Effectiveness of E-Commerce. Journal of Applied Management, 20(1), 12–24.
Roberts, J. A., & Manolis, C. (2000). Baby boomers and busters: An exploratory investigation of attitudes toward marketing, advertising and consumerism. Journal of Consumer Marketing, 17(6), 481–497. https://doi.org/10.1108/07363760010349911
Santosa, A. D., Alversia, Y., & Rahmawati, M. (2022). Factors influencing consumer attitudes towards web series content marketing. 4(5), 2193–2203.
Santosa, A. D., Nuryanti, T., Prabowo, F. H. E., & Rahmawati, M. (2021). Continuance intention of baby boomer and X generation as new users of digital payment during COVID ‑ 19 pandemic using UTAUT2. Journal of Financial Services Marketing. https://doi.org/10.1057/s41264-021-00104-1
Sasongko, D. T., Handayani, P. W., & Satria, R. (2021). Analysis of factors affecting continuance use intention of the electronic money application in Indonesia. Procedia Computer Science, 197(2021), 42–50. https://doi.org/10.1016/j.procs.2021.12.116
Sen, K., Prybutok, G., & Prybutok, V. (2022). The use of digital technology for social wellbeing reduces social isolation in older adults: A systematic review. SSM - Population Health, 17(October 2021), 101020. https://doi.org/10.1016/j.ssmph.2021.101020
Sheldon, P., Antony, M. G., & Ware, L. J. (2021). Baby Boomers’ use of Facebook and Instagram: uses and gratifications theory and contextual age indicators. Heliyon, 7(4), e06670. https://doi.org/10.1016/j.heliyon.2021.e06670
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. https://doi.org/10.1016/j.ijhcs.2006.05.001
Viswanath Venkatesh, J. Y. L. T. and X. X. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology. Management Information Systems Research Center, University of Minnesota, 36(1), 157–178. https://doi.org/10.1109/MWSYM.2015.7167037
WiScicka-Fernando, M. (2021). The use of mobile technologies in online shopping during the Covid-19 pandemic - An empirical study. Procedia Computer Science, 192, 3413–3422. https://doi.org/10.1016/j.procs.2021.09.114
Yang, X. (2021). Determinants of consumers’ continuance intention to use social recommender systems: A self-regulation perspective. Technology in Society, 64(February 2020), 101464. https://doi.org/10.1016/j.techsoc.2020.101464.
DOI: https://doi.org/10.26905/jbm.v10i1.9241
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