Main Article Content

Abstract

Dalam pengaktifan kembali aktivitas berbelanja masyarakat yang aman, dengan memanfaatkan teknologi informasi, masyarakat perlu memahami bahwa konteks Covid-19 telah memengaruhi perilaku teknologi masyarakat, dan adanya upaya untuk mengubah destinasi yang mengacu pada teknologi informasi digital dengan menawarkan masyarakat untuk menggunakan smartphone saat berbelanja, agar aktivitas berbelanja lebih aman dan baik. Penelitian ini bertujuan untuk mengetahui persepsi masyarakat terhadap harapan kinerja, ekspektasi usaha, pengaruh sosial, kondisi yang memfasilitasi, dan manfaat yang di dapat pada penggunaan smartphone selama pandemi Covid-19. Model diuji dengan 100 masyarakat, yaitu pengunjung luar Kota Yogyakarta, warga setempat dan mahasiswa Yogyakarta. Hasil penelitian ini menunjukkan bahwa dari variabel yang di teliti akan meningkatkan niat masyarakat dalam menggunakan smartphone yang lebih intens terutama untuk mengakses dalam berbelanja. Masyarakat telah meningkatkan niat mereka untuk menggunakan smartphone, terutama untuk melakukan pembayaran atas pembelian. Penelitian ini memajukan pengetahuan tentang dampak COVID-19 pada perilaku teknologi masyarakat implikasi praktis yang penting, dan menimbulkan pertanyaan penelitian baru tentang masa depan.

Keywords

COVID-19 aktivitas berbelanja masyarakat penerimaan dan penggunaan teknologi smartphone harapan kinerja ekspektasi usaha pengaruh sosial kondisi yang memfasilitasi manfaat yang di dapat COVID-19 aktivitas berbelanja masyarakat penerimaan dan penggunaan teknologi smartphone harapan kinerja ekspektasi usaha pengaruh sosial kondisi yang memfasilitasi manfaat yang di dapat

Article Details

How to Cite
Puspitasari, S. P., & Purnama, N. (2023). Persepsi Masyarakat terhadap Penggunaan Smartphone Selama Pandemi COVID-19. Selekta Manajemen: Jurnal Mahasiswa Bisnis & Manajemen, 2(4), 65–78. Retrieved from https://journal.uii.ac.id/selma/article/view/30490

References

  1. Alalwan, A. A., Dwivedi, Y. K. and 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), pp. 99–110. doi: 10.1016/j.ijinfomgt.2017.01.002.
  2. Azhari, A. R. and Lubis, N. (2018) ‘Pengaruh Kualitas Pelayanan , Tarif dan Fasilitas Terhadap Kepuasan Penumpang Bus BRT Trans Semarang ( Studi Kasus : Penumpang Bus BRT Trans Semarang koridor II ) Pendahuluan’, jurnal Administrasi Bisnis, 5(1), pp. 94–104.
  3. Baptista, G. and Oliveira, T. (2015) ‘Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators’, Computers in Human Behavior, 50, pp. 418–430. doi: 10.1016/j.chb.2015.04.024.
  4. Coromina, L. and Camprubí, R. (2016) ‘Analysis of tourism information sources using a Mokken Scale perspective’, Tourism Management, 56, pp. 75–84. doi: 10.1016/j.tourman.2016.03.025.
  5. Eweoya, Ibukun, S.R., Okuboyejo, and Kelechi, A. (2016) ‘The adoption of E-tourism: An empirical investigation’, Asian Journal of Information Technology, 15(18), pp. 3422-3429. Available at: http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/1248.
  6. Fuentes, C. and Svingstedt, A. (2017) ‘Mobile shopping and the practice of shopping: A study of how young adults use smartphones to shop’, Journal of Retailing and Consumer Services, 38, pp. 137–146. doi: 10.1016/j.jretconser.2017.06.002.
  7. Garcia-Milon, A. et al. (2020) Tourist shopping and omnichanneling. Pennsylvania: IGI Global.
  8. Gössling, S., Scott, D. and Hall, C.M. (2020) “Pandemics, tourism and global change: a rapid assessment of COVID-19,” Journal of Sustainable Tourism, 29(1), pp. 1–20. Available at: https://doi.org/10.1080/09669582.2020.1758708.
  9. Hassan, S., Rashid, R. and Li, F. (2015) ‘Utilising modified UTAUT to understand students’ online shopping behaviour: A case of e-retail co-operative website in Malaysia’, Journal of Electronic Commerce in Organizations, 13(4), pp. 74–90. doi: 10.4018/JECO.2015100104.
  10. Horton, R. (2020) ‘Offline: COVID-19 is not a pandemic’, The Lancet, 396(10255), p. 874. doi: 10.1016/S0140-6736(20)32000-6.
  11. Juaneda-Ayensa, E., Mosquera, A. and Murillo, Y. S. (2016) ‘Omnichannel customer behavior: Key drivers of technology acceptance and use and their effects on purchase intention’, Frontiers in Psychology, 7, pp. 1–11. doi: 10.3389/fpsyg.2016.01117.
  12. Li, S., Scott, N. and Walters, G. (2015) ‘Current and potential methods for measuring emotion in tourism experiences: a review’, Current Issues in Tourism, 18(9), pp. 805–827. doi: 10.1080/13683500.2014.975679.
  13. Macedo, I. M. (2017) ‘Predicting the acceptance and use of information and communication technology by older adults: An empirical examination of the revised UTAUT2’, Computers in Human Behavior, 75, pp. 935–948. doi: 10.1016/j.chb.2017.06.013.
  14. Malhotra, N. K., Nunan, D. and Birks, D. F. (2017) Marketing Research: An Applied Approach 3rd European Edition. Harlow, England: Prentice-Hall.
  15. Mehrabian, A. and Russell, J. A. (1974) An approach to environmental psychology. Boston: The MIT Press.
  16. Raman, A. and Don, Y. (2013) ‘Preservice teachers’ acceptance of learning management software: An application of the UTAUT2 model’, International Education Studies, 6(7), pp. 157–164. doi: 10.5539/ies.v6n7p157.
  17. Rodríguez-Torrico, P. et al. (2020) ‘The ideal companion: the role of mobile phone attachment in travel purchase intention’, Current Issues in Tourism, 23(13), pp. 1659–1672. doi: 10.1080/13683500.2019.1637828.
  18. Sari, S. P. and Cristiana, S. (2021) ‘Penerapan Model UTAUT (Unified Theory of Acceptance and Use of Technology) Terhadap Minat Penggunaan Mobile Banking Pada Masa Pandemi Berbasis Data Google Trends’, Prosiding Seminar Nasional Hukum, Bisnis, Sains Dan Teknologi, 2(1), pp. 698–706. Available at: https://ojs.udb.ac.id/index.php/HUBISINTEK/article/view/1450.
  19. Sekaran, U. and Bougie, R. (2016) Research Methods for Business: A Skill-Building Approach. 7th ed. Chichester: John Wiley & Sons Ltd.
  20. Sirakaya, E. and Woodside, A. G. (2005) ‘Building and testing theories of decision making by travellers’, Tourism Management, 26(6), pp. 815–832. doi: 10.1016/j.tourman.2004.05.004.
  21. Hew, J-J. et al. (2016) ‘The dawning of mobile tourism: what contributes to its system success?’, International Journal of Mobile Communications, 14(2), pp. 170–201. doi: 10.1504/IJMC.2016.075023
  22. Venkatesh, V. et al. (2003) ‘User Acceptance of Information Technology: Toward a Unified View’, MIS quarterly, 27(3), pp. 425-478. doi: 10.2307/30036540.
  23. Yüksel, A. (2007) ‘Tourist shopping habitat: Effects on emotions, shopping value and behaviours’, Tourism Management, 28(1), pp. 58–69. doi: 10.1016/j.tourman.2005.07.017.
  24. Yuliana, A., Siti Astuti, E. and Wulida Afrianty, T. (2020) ‘PENGARUH EKSPEKTASI USAHA TERHADAP HEDONIC MOTIVATION, HABIT DAN NIAT PERILAKU PENGGUNAAN APLIKASI TRANSPORTASI ONLINE (Studi Pada Pelanggan Gojek Indonesia Di Kota Malang)’, Profit, 14(2), pp. 82–91. doi: 10.21776/ub.profit.2020.014.02.10.
  25. Zenker, S. and Kock, F. (2020) “The coronavirus pandemic – A critical discussion of a tourism research agenda,” Tourism Management, 81, p. 104164. Available at: https://doi.org/10.1016/j.tourman.2020.104164.
  26. Zhang, E. M. (2010) ‘Understanding the Acceptance of Mobile SMS Advertising among Young Chinese Consumers’, Psychology & Marketing, 30(6), pp. 461–469. doi: 10.1002/mar.20239.