Love is in the cloud: Uncovering the factors driving continuous use intention of online dating applications

References

• Alam, S. S., Islam, M. R., Mokhbul, Z. K. M., & Makmor, N. B. (2018). Factors affecting intention to use online dating sites in Malaysia. International Journal of Engineering & Technology, 7(4.28), 192–18. https://doi.org/10.14419/ijet.v7i4.28.22578
   Google Scholar
• Balan, K. B., Rahim, F. A., Zulfakar, Z. A., Jin, G. P., & Chelliah, M. K. (2021). Swipe at first sight: The continuous intention to use dating apps in Malaysia. In and others, (Ed.) “CoMBInES-Conference on Management, Business, Innovation, Education and Social Sciences“, 14 February 2021, Batam, Indonesia (vol. 1, pp. 20–34).
   Google Scholar
• Barros, A., Almeida, R., Melo, T., & Frade, M. (2022). Forensic analysis of the bumble dating app for android. Forensic Sciences, 2(1), 201–221. https://doi.org/10.3390/forensicsci2010016
   Google Scholar
• Bee, B. (2021). Bumble terms and conditions of use. https://bumble.com/en/.
   Google Scholar
• Bonilla-Zorita, G., Griffiths, M. D., & Kuss, D. J. (2021). Online dating and problematic use: A systematic review. International Journal of Mental Health and Addiction, 19(6), 2245–2278. https://doi.org/10.1007/s11469-020-00318-9
   Web of Science ®Google Scholar
• Brandtzaeg, P. B., Pultier, A., & Moen, G. M. (2019). Losing control to data-hungry apps: A mixed-methods approach to mobile app privacy. Social Science Computer Review, 37(4), 466–488. https://doi.org/10.1177/0894439318777706
   Web of Science ®Google Scholar
• Bryant, K., & Sheldon, P. (2017). Cyber dating in the age of mobile apps: Understanding motives, attitudes, and characteristics of users. American Communication Journal, 19(2), 1–15.
   Google Scholar
• Canta, B. L., Jordaanb, Y., & Frostc, B. (2021). Motivational factors, privacy concerns and intention to use mobile dating apps. In and others, (Ed.) 32nd Annual Conference of the Southern Africa Institute for Management Scientists, North-West University, Potchefstroom, North-West University, Potchefstroom, South Africa (p. 293). The Southern Africa Institute for Management Scientists.
   Google Scholar
• Castro, A., & Barrada, J. R. (2020). Dating apps and their socio-demographic and psychosocial correlates: A systematic review. International Journal of Environmental Research and Public Health, 17(18), 6500–6500. https://doi.org/10.3390/ijerph17186500
   PubMed Web of Science ®Google Scholar
• Chakraborty, D. (2019). Components affecting intention to use online dating apps in India: A study conducted on smartphone users. Asia-Pacific Journal of Management Research and Innovation, 15(3), 87–96. https://doi.org/10.1177/2319510X19872596
   Google Scholar
• Chan, X. Y., Choy, J. N., Chua, Z. L., Ng, S. J., & Ong, S. K. (2023). Online dating apps adoption: a perspective from young adults in Malaysia. In and others, (Ed.) 10th International Conference on Business, Accounting, Finance and Economics (BAFE 2022), 12 October 2022, Kampar, Malaysia (pp. 77–105). Atlantis Press.
   Google Scholar
• Chen, Q., Yuan, Y., Feng, Y., & Archer, N. (2021). A decision paradox: Benefit vs risk and trust vs distrust for online dating adoption vs non-adoption. Internet Research, 31(1), 341–375. https://doi.org/10.1108/INTR-07-2019-0304
   Web of Science ®Google Scholar
• Cöbek, G., & Ergin, M. (2021). Swipe me if you can: Cultural and gendered uses of Tinder in Turkey. International Journal of Social and Humanities Sciences, 5(3), 11–38.
   Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioral science. Lawrence Erlbaum Associates.
   Google Scholar
• Criddle, C. (2022). Tinder struggles to attract younger users as Gen Z singles look to new apps, https://www.ft.com/content/3966b57d-110d-47ba-9421-4a9bdeb01b4e.
   Google Scholar
• David, G., & Cambre, C. (2016). Screened intimacies: Tinder and the swipe logic. Social Media+ Society, 2(2), 2056305116641976. https://doi.org/10.1177/2056305116641976
   Web of Science ®Google Scholar
• Davis, K. (2019). A new Chicago dating app wants to fix online dating with virtual gifts. https://www.bizjournals.com/chicago/inno/stories/profiles/2019/05/15/a-new-chicago-dating-app-wants-to-fix-online.html.
   Google Scholar
• Escobar-Rodríguez, T., Carvajal-Trujillo, E., & Monge-Lozano, P. (2014). Factors that influence the perceived advantages and relevance of Facebook as a learning tool: An extension of the UTAUT. Australasian Journal of Educational Technology, 30(2). https://doi.org/10.14742/ajet.585
   Web of Science ®Google Scholar
• Evanschitzky, H., Emrich, O., Sangtani, V., Ackfeldt, A. L., Reynolds, K. E., & Arnold, M. J. (2014). Hedonic shopping motivations in collectivistic and individualistic consumer cultures. International Journal of Research in Marketing, 31(3), 335–338. https://doi.org/10.1016/j.ijresmar.2014.03.001
   Web of Science ®Google Scholar
• Faul, F., Erdfelder, E., Buchner, A., & Lang, A. G. (2009). Statistical power analyses using G*Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160. https://doi.org/10.3758/BRM.41.4.1149
   PubMed Web of Science ®Google Scholar
• Finkel, E. J., Eastwick, P. W., Karney, B. R., Reis, H. T., & Sprecher, S. (2012). Online dating: A critical analysis from the perspective of psychological science. Psychological Science in the Public Interest, 13(1), 3–66. https://doi.org/10.1177/1529100612436522
   PubMed Web of Science ®Google Scholar
• Fink, L., Ilany-Tzur, N., Yam, H., & Sokhina, S. (2023). Do women and men click differently? Mobile devices mitigate gender differences in online dating. Information & Management, 60(2), 103750–103750. https://doi.org/10.1016/j.im.2022.103750
   Web of Science ®Google Scholar
• Gharaibeh, M. K., Arshad, M. R. M., & Gharaibh, N. K. (2018). Using the UTAUT2 model to determine factors affecting adoption of mobile banking services: A qualitative approach. International Journal of Interactive Mobile Technologies, 12(4), 123. https://doi.org/10.3991/ijim.v12i4.8525
   Google Scholar
• Guadagno, R. E., Okdie, B. M., & Kruse, S. A. (2012). Dating deception: Gender, online dating, and exaggerated self-presentation. Computers in Human Behavior, 28(2), 642–647. https://doi.org/10.1016/j.chb.2011.11.010
   Web of Science ®Google Scholar
• Hahn, E. D., & Ang, S. H. (2017). From the editors: New directions in the reporting of statistical results in the journal of world Business. Journal of World Business, 52(2), 125–126. https://doi.org/10.1016/j.jwb.2016.12.003
   Web of Science ®Google Scholar
• Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442–458. https://doi.org/10.1108/IMDS-04-2016-0130
   Web of Science ®Google Scholar
• Hair, J. J., Hufit, G. M., Ringle, C. M., & Sarstedt, M. (2014). A primer on Partial Least Squares Structural Equation Modelling (PLS-SEM). SAGE Publications, Inc.
   Google Scholar
• Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory & Practice, 19(2), 139–152. https://doi.org/10.2753/MTP1069-6679190202
   Google Scholar
• Hair, J., Risher, J., Sarstedt, M., & Ringle, C. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
   Web of Science ®Google Scholar
• Henseler, J., Hubona, G., & Ray, P. (2015). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382
   Web of Science ®Google Scholar
• Huwae, M. P., & Ng, C. S. P. (2022). An investigation of the relevancy of current information system acceptance theory in the context of online dating APP Use among Gen Z. in and others. (Ed.) ITIA 2022 International Conference on Information Technology and Industrial Applications (pp. 61–69).
   Google Scholar
• Iovine, A. (2022). We hardly knew ye: 9 dating apps and sites that died. https://mashable.com/article/dating-apps-defunct.
   Google Scholar
• Jadil, Y., Jeyaraj, A., Dwivedi, Y. K., Rana, N. P., & Sarker, P. (2022). A meta-analysis of the factors associated with s-commerce intention: Hofstede’s cultural dimensions as moderators. Internet Research. https://doi.org/10.1108/INTR-10-2021-0768
   Web of Science ®Google Scholar
• Kallis, R. B. (2020). Understanding the motivations for using Tinder. Qualitative Research Reports in Communication, 21(1), 66–73. https://doi.org/10.1080/17459435.2020.1744697
   Google Scholar
• Kasilingam, D. L. (2020). Understanding the attitude and intention to use smartphone chatbots for shopping. Technology in Society, 62, 101280. https://doi.org/10.1016/j.techsoc.2020.101280
   Web of Science ®Google Scholar
• Kemp, S. (2022). Data Reportal. https://datareportal.com/reports/digital-2022malaysia.
   Google Scholar
• Khechine, H., Lakhal, S., & Ndjambou, P. (2016). A meta-analysis of the UTAUT model: Eleven years later. Canadian Journal of Administrative Sciences/Revue Canadienne des Sciences de L’administration, 33(2), 138–152. https://doi.org/10.1002/cjas.1381
   Web of Science ®Google Scholar
• Kline, R. B. (2016). Principles and practice of structural equation modeling. (3rd ed.). Guilford Press.
   Google Scholar
• Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration, 11(4), 1–10. https://doi.org/10.4018/ijec.2015100101
   Web of Science ®Google Scholar
• Kolhoff, S. J. (2021). Romantic miscalculations on dating applications: Definitions and experiences of mobile dating micro-rejection. Wayne State University. https://digitalcommons.wayne.edu/oa_dissertations/3422/
   Google Scholar
• Lutz, C., & Ranzini, G. (2017). Where dating meets data: Investigating social and institutional privacy concerns on Tinder. Social Media+ Society, 3(1), 2056305117697735. https://doi.org/10.1177/2056305117697735
   Web of Science ®Google Scholar
• MCMC. (2020). Internet users survey 2020. https://www.mcmc.gov.my/skmmgovmy/media/General/pdf/IUS-2020-Report.pdf.
   Google Scholar
• Muller, J. (2023a). Leading mobile dating apps in Malaysia as of February 2022. https://www.statista.com/statistics/1187077/malaysia-leading-mobile-dating-apps/.
   Google Scholar
• Muller, J. (2023b). Online dating Malaysia. https://www.statista.com/outlook/dmo/eservices/dating-services/online-dating/malaysia.
   Google Scholar
• Narr, G. (2021). The uncanny swipe drive: The return of a racist mode of algorithmic thought on dating apps. Studies in Gender and Sexuality, 22(3), 219–236. https://doi.org/10.1080/15240657.2021.1961498
   Google Scholar
• OkCupid. (2022). https://www.okcupid.com/legal/terms.
   Google Scholar
• Ozen, H., & Kodaz, N. (2012). Utilitarian or hedonic? A cross cultural study in online shopping. Organizations and Markets in Emerging Economies, 3(2), 80–90. https://doi.org/10.15388/omee.2012.3.2.14269
   Google Scholar
• Pleines, C. (2023a). Tantan Review June 2023. https://www.datingscout.com/tantan/review.
   Google Scholar
• Pleines, C. (2023b). Tantan Vs Tinder: Which one is better? https://www.datingscout.com/tinder/tantan-vs-tinder.
   Google Scholar
• Reporter, D. M. (2023). Most dating app users are’ addicted’ and spend nearly an HOUR swiping every day, with 70% left depressed or anxious after going on them, study says. https://www.dailymail.co.uk/femail/article-11729655/Dating-appusers-addicted-spend-nearly-HOUR-swiping-day.html.
   Google Scholar
• Respati, C. W. A., & Amalia, I. (2021). Intention using dating apps in Indonesia. 2021 9th International Conference on Cyber and IT Service Management (CITSM), 22-23 September 2021, Bengkulu, Indonesia (pp. 1–6).
   Google Scholar
• Rochadiat, A. M., Tong, S. T., & Novak, J. M. (2018). Online dating and courtship among Muslim American women: Negotiating technology, religious identity, and culture. New Media & Society, 20(4), 1618–1639. https://doi.org/10.1177/1461444817702396
   Web of Science ®Google Scholar
• Schomakers, E. M., Lidynia, C., Vervier, L. S., Valdez, A., & Ziefle, M. (2022). Apply- ing an extended UTAUT2 model to explain user acceptance of lifestyle and therapy mobile health apps: Survey study. JMIR mHealth and uHealth, 10(1), e27095. https://doi.org/10.2196/27095
   PubMed Web of Science ®Google Scholar
• Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J. H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189
   Web of Science ®Google Scholar
• Siddiqui, A., Chakraborty, D., & Siddiqui, M. (2023). Dating Dilemma: Predicting the barriers to adoption of Online Dating Apps (ODAs) applying innovation resistance theory. Journal of Promotion Management, 1–22. https://doi.org/10.1080/10496491.2023.2187001
   Google Scholar
• Stoicescu, M. V., Matei, S., & Rughinis, R. (2019). Sharing and privacy in dating apps. in and others, (Ed.) 2019 22nd International Conference on Control Systems and Computer Science (CSCS), 28-30 May 2019, Bucharest, Romania (pp. 432–437) IEEE.
   Google Scholar
• Sumter, S. R., & Vandenbosch, L. (2019). Dating gone mobile: Demographic and personality-based correlates of using smartphone-based dating applications among emerging adults. New Media & Society, 21(3), 655–673. https://doi.org/10.1177/1461444818804773
   Web of Science ®Google Scholar
• Sumter, S. R., Vandenbosch, L., & Ligtenberg, L. (2017). Love me Tinder: Untangling emerging adults’ motivations for using the dating application Tinder. Telematics and Informatics, 34(1), 67–78. https://doi.org/10.1016/j.tele.2016.04.009
   Web of Science ®Google Scholar
• Tamilmani, K., Rana, N. P., & Dwivedi, Y. K. (2018). Use of ‘habit’is not a habit in understanding individual technology adoption: A review of UTAUT2 based empirical studies. In Smart Working, Living and Organising: IFIP WG 8.6 International Conference on Transfer and Diffusion of IT, TDIT 2018, 25 June 2018, Portsmouth, UK (pp. 277–294). Springer International Publishing.
   Google Scholar
• Tamilmani, K., Rana, N. P., & Dwivedi, Y. K. (2021). Consumer acceptance and use of information technology: A meta-analytic evaluation of UTAUT2. Information Systems Frontiers, 23(4), 987–1005. https://doi.org/10.1007/s10796-020-10007-6
   Web of Science ®Google Scholar
• Tamilmani, K., Rana, N. P., Prakasam, N., & Dwivedi, Y. K. (2019). The battle of Brain vs. Heart: A literature review and meta-analysis of “hedonic motivation” use in UTAUT2. International Journal of Information Management, 46, 222–235. https://doi.org/10.1016/j.ijinfomgt.2019.01.008
   Web of Science ®Google Scholar
• Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
   Web of Science ®Google Scholar
• Wade, B. (2011). Virtual gift guide for online dating. https://www.whatsyourprice.com/blog/virtual-gift-guide-for-online-dating/.
   Google Scholar
• Waters, J. (2021), Constant craving: How digital media turned us all into dopamine addicts. https://www.theguardian.com/global/2021/aug/22/how-digital-media-turned-us-all-into-dopamine-addicts-and-what-we-can-do-to-break-the-cycle.
   Google Scholar
• Xu, C., Peak, D., & Prybutok, V. (2015). A customer value, satisfaction, and loyalty per- spective of mobile application recommendations. Decision Support Systems, 79, 171–183. https://doi.org/10.1016/j.dss.2015.08.008
   Web of Science ®Google Scholar