Array
DOI:
https://doi.org/10.35794/jmbi.v9i2.41197Abstrak
ArrayReferensi
Abdullah, A., Ismail, M. M., & Albani, A. (2018). At-Risk Generation Z: Values, Talents and Challenges. International Journal of Asian Social Science, 8(7), 373–378. https://doi.org/10.18488/journal.1.2018.87.373.378
Alas, R., Übius, U., Lorents, P., & Matsak, E. (2017). Corporate Social Responsibility In European And Asian Countries. Jurnal Manajemen Bisnis Dan Inovasi (JMBI) UNSRAT Vol. 4 No. 1
Ali, G. A., Hilman, H., & Gorondutse, A. H. (2020). Effect of entrepreneurial orientation, market orientation and total quality management on performance Evidence from Saudi SMEs. Benchmarking: An International Journal, 27(4), 1503–1531. https://doi.org/10.1108/BIJ-08-2019-0391
Barati, M., Taheri-Kharameh, Z., Farghadani, Z., & Rásky, É. (2019). Validity and Reliability Evaluation of the Persian Version of the Heart Failure-Specific Health Literacy Scale. International Journal of Community Based Nursing and Midwifery, 7(3), 222–230. https://doi.org/10.30476/IJCBNM.2019.44997
Bhattacherjee, A., & Park, S. C. (2014). Why end-users move to the cloud: a migration-theoretic analysis. European Journal of Information Systems, 23, 357–372. https://doi.org/10.1057/ejis.2013.1
Chang, I.-C., Liu, C.-C., & Chen, K. (2014). The push, pull and mooring effects in virtual migration for social networking sites. Information Systems Journal, 24, 323–346. https://doi.org/10.1111/isj.12030
Christian, M., Dewi, D., Rembulan, G. D., Indriyarti, E. R., Wibowo, S., & Yuniarto, Y. (2021). Business Performance Determinants of Salted Fish Distribution in Kapuk During the COVID-19. Journal of Distribution Science, 19(6), 29–39. https://doi.org/10.15722/jds.19.6.202106.29
Christian, M., Haris, K., Indriyarti, E. R., Wibowo, S., & Sunarno, S. (2021). Service Distribution Strategy on Business Performance of Padang Restaurants in North Jakarta. Journal of Distribution Science, 19(12), 57–69. https://doi.org/10.15722/jds.19.12.202112.57
Christian, M., Indriyarti, E. R., & Wibowo, S. (2021). Investigating Technostress as Moderating Information Quality and E-Learning Effectiveness on Students in Jakarta During the Covid-19 Pandemic. Ilkogretim Online-Elementary Education Online, 20(4), 46–52. https://doi.org/10.17051/ilkonline.2021.04.07
Christian, M., Pardede, R., & Indriyarti, E. R. (2022). Generation Z in Jakarta’s Attitude Towards COVID-19 Ad Distribution on YouTube. Journal of Distribution Science, 20(3), 13–22. https://doi.org/10.15722/jds.20.03.202203.13
Dolot, A. (2018). The characteristic of Generation Z. E-Mentor, 44–50. https://doi.org/10.15219/em74.1351
Gao, L., & Waechter, K. A. (2017). Examining the role of initial trust in user adoption of mobile payment services: an empirical investigation. Information Systems Frontiers, 19(3). https://doi.org/10.1007/s10796-015-9611-0
Girsang, L. R., Situmeang, I. V. O., & Christian, M. (2022). Influence of Information and Knowledge towards Attitude in Receiving Vaccines. Jurnal ASPIKOM, 7(1), 112–127. https://doi.org/10.24329/aspikom.v7i1.946
Hair, J. F., Anderson, R. E., & Black, W. C. (2014). Multivariate Data Analysis (7th ed.). Pearson Education Limited.
Han, H., Kim, W., & Hyun, S. S. (2011). Switching intention model development: Role of service performances, customer satisfaction, and switching barriers in the hotel industry. International Journal of Hospitality Management, 30, 619–629. https://doi.org/10.1016/j.ijhm.2010.11.006
Hsu, Y., & Nguyen, M. (2019). Customers’ Switching Intention among Smartphone Brands. International Journal of Business and Social Science, 10(6), 35–42. https://doi.org/10.30845/ijbss.v10n6p5
Indriyarti, E. R., & Wibowo, S. (2020). Bisnis Kesehatan Berbasis Digital: Intensi Pengguna Aplikasi Digital Halodoc. Jurnal Pengabdian Dan Kewirausahaan, 4(2), 112–121.
Kuo, R.-Z. (2020). Why do people switch mobile payment service platforms? An empirical study in Taiwan. Technology in Society, 62, 1–16. https://doi.org/10.1016/j.techsoc.2020.101312
Lai, J.-Y., & Wang, J. (2015). Switching attitudes of Taiwanese middle-aged and elderly patients toward cloud healthcare services: An exploratory study. Technological Forecasting and Social Change, 92, 155–167. https://doi.org/10.1016/j.techfore.2014.06.004
Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in Human Behavior, 35, 464–478. https://doi.org/10.1016/j.chb.2014.03.022
Memon, A. H., & Rahman, I. A. (2014). SEM-PLS Analysis of Inhibiting Factors of Cost Performance for Large Construction Projects in Malaysia: Perspective of Clients and Consultants. The Scientific World Journal, 2014, 1–9. https://doi.org/10.1155/2014/165158
Porotu'o, A., Kairupan, B., & Wahongan, G. (2021). Pengaruh Motivasi Kerja Dan Sikap Profesi Terhadap Kinerja Perawat Di Pelayanan Rawat Inap Rumah Sakit Umum GMIM Pancaran Kasih Manado Melalui Kepuasan Kerja Sebagai Variabel Intervening. JMBI UNSRAT (Jurnal Ilmiah Manajemen Bisnis dan Inovasi Universitas Sam Ratulangi)., 8(2). doi:https://doi.org/10.35794/jmbi.v8i2.32936
Priporas, C.-V., Stylos, N., & Fotiadis, A. K. (2017). Generation Z consumers’ expectations of interactions in smart retailing: A future agenda. Computers in Human Behavior, 77, 374–381. https://doi.org/10.1016/j.chb.2017.01.058
Priporas, C.-V., Stylos, N., & Kamenidou, I. (Eirini). (2019). City image, city brand personality and generation Z residents’ life satisfaction under economic crisis: Predictors of city-related social media engagement. Journal of Business Research, 1–11. https://doi.org/10.1016/j.jbusres.2019.05.019
Sun, Y., Liu, D., Chen, S., Wu, X., Shen, X.-L., & Zhang, X. (2017). Understanding users’ switching behavior of mobile instant messaging applications: An empirical study from the perspective of push-pull-mooring framework. Computers in Human Behavior, 75, 727–738. https://doi.org/10.1016/j.chb.2017.06.014
Tang, T., & Hao, L. (2017). Research on the Influence of Price Promotion on Consumer Purchase Decision under Network Environment. Advances in Social Science, Education and Humanities Research, 168, 220–224.
Wibowo, S. (2020). Determinan Kinerja Dosen Pada Pengajaran Metode Daring Pada Masa Pandemi COVID-19 Dengan Faktor Stres Sebagai Pemediasi. Journal of Business & Applied Management, 13(2), 131–146. https://doi.org/10.30813/jbam.v13i2.2227
Wibowo, S., & Yuniarto, Y. (2021). Measuring Feeling Safety as A Moderating Effect of Worker Skills on Team Performance During The COVID-19 Pandemic. Journal Of Business & Applied Management, 14(1), 55–68. https://doi.org/10.30813/jbam.v14i1.2695
Wirth, J., & Maier, C. (2017). Why individuals switch to using mobile payment: A migration-theoretic, empirical study. Twenty-Third Americas Conference on Information Systems, 1–10.
Xu, Y. (Calvin), Yang, Y., Cheng, Z., & Lim, J. (2014). Retaining and attracting users in social networking services: An empirical investigation of cyber migration. Journal of Strategic Information Systems, 23(3). https://doi.org/10.1016/j.jsis.2014.03.002
Yussof, F. M., Harun, A., Norizan, S., Durani, N., Jamil, I., & Salleh, S. M. (2018). The influence of social media consumption on gen Z consumers’ attitude. Journal of Fundamental and Applied Sciences, 10(65), 1288–1299. https://doi.org/10.4314/jfas.v10i6s.86
Zhou, T. (2013). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085–1091. https://doi.org/10.1016/j.dss.2012.10.034
Zhou, T. (2015). An Empirical Examination of Users’ Switch from Online Payment to Mobile Payment. International Journal of Technology and Human Interaction, 11(1), 55–66. https://doi.org/10.4018/ijthi.2015010104
