Determinants of Online Dating Application Among Millennials

  • Norlelawati Jamaludin Universiti Teknologi MARA
  • Nuryusmawati Mohd Yusof Universiti Teknologi MARA
  • Faizah Maishahadi Universiti Teknologi MARA
  • Faizah Sohid Universiti Teknologi MARA
  • Syed Asherene Syed Syed Omar Universiti Teknologi MARA
  • Mohd Fikri Ishak Universiti Teknologi MARA
  • Syed Mustaqim Syed Yusof Universiti Teknologi MARA
  • Janiffa Saidon Universiti Teknologi MARA
Keywords: Online Dating, Application, Adoption Intention, Theory of Acceptance, Use of Technology

Abstract

Online dating has become increasingly popular in recent years, these platforms provide a convenient and accessible way to meet new people. Studies on the use of dating applications among men and women highlight how these technologies shape communication practices and social relationships. For this study, the Unified Theory of Acceptance and Use of Technology (UTAUT) was applied to discover the determinants of online dating apps’ adoption intention. Possible determinants that might affect the intention to adopt online dating apps are sought and critically reviewed. The variables proposed in this research include performance expectancy, effort expectancy, social influence, facilitating conditions, and an additional variable – trust. Five hypotheses were constructed, questionnaires were distributed and responses were collected to determine the adoption intention of young millennials in Malaysia. The test results indicated that trust, performance expectancy and social influence influenced the adoption intention of online dating applications. Based on the results, for performance expectancy, it was revealed that users expressed concerns about the utility of dating applications in facilitating beneficial functions, such as broadening social networks, enhancing dating opportunities, and meeting dating needs. For social influence, it revealed that individuals, especially peers, who hold significance in their lives, influence their decision to engage with online dating apps. These influential individuals impact the users' intentions by communicating the benefits of online dating apps and recommending their use. As trust improves, millennials are less reluctant to adopt online dating apps, contributing to an increase in the user base for such applications

Downloads

Download data is not yet available.

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 and Technology, 7(4), 192-198

Atlan. (2023, October 16). What is Data Validity: 9 Reasons Why It’s Important! Atlan.com.https://atlan.com/what-is-data-validity/#:~:text=Data%20validity%20refers%20to%2 0the%20accuracy%2C%20reliability%2C%20and%20authenticity%20of

Balan, K., Rahim, F. A., Zulfakar, Z. A., Goh, P. J., & Chelliah, M. K. (2021). Swipe at first sight: The continuous intention to use dating apps in Malaysia. CoMBInES - Conference on Management, Business, Innovation, Education and Social Sciences, 1(1), 20–34.

Bhat, A. (2023). Data Collection Methods: Sources & Examples. QuestionPro. https://www.questionpro.com/blog/data-collection-methods/

Banks, D. (2023). Psychological Effects of Online Dating: A Modern Reality.” Marriage Advice – Expert Marriage Tips & Advice, www.marriage.com/advice/relationship/psychological-effects-of-online-dating/.

Bryden, L. (2017). EWU Digital Commons. Online Dating Applications and the Uses and Gratifications Theory. https://dc.ewu.edu/cgi/viewcontent.cgi?referer=&httpsredir=1&article=1451&context=theses

Carlton, G. (2022). The 7 Best Dating Apps for College Students in 2022 | BestColleges. http://www.bestcolleges.com/blog/best-college-dating-apps/

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 the 10th International Conference on Business, Accounting, Finance and Economics (BAFE 2022) (77-105). Atlantis Press DOI: https://doi.org/10.2991/978-2-494069-99-2_8

Chen, B. (2023, May 29). What Is Data Validity? Definition, Examples, and Best Practices | Metaplane. https://www.metaplane.dev/blog/data-validity-definition-examples

Chen, Q., Yuan, Y., Feng, Y., & Archer, N. (2020). A decision paradox: Benefit vs risk and trust vs distrust for online dating adoption vs non-adoption. Internet Research, 31(1), 341–375. DOI: https://doi.org/10.1108/INTR-07-2019-0304

Daka, C. G., & Phiri, J. (2019). Factors driving the adoption of e-banking services based on the UTAUT Model. International Journal of Business and Management, 14(6), 43-52. DOI: https://doi.org/10.5539/ijbm.v14n6p43

Dowdy, B. B. &Kliewer, W. (1998).Dating, parent-adolescent conflict, and behavioral autonomy. Journal of Youth and Adolescence, 27, 473–492. DOI: https://doi.org/10.1023/A:1022852102847

TheoryHub. (2023). Facilitating Conditions - TheoryHub - Academic theories reviews for research and T&L. Open.ncl.ac.uk.https://open.ncl.ac.uk/concepts/4/facilitatingconditions/#:~:text=Definitions%20of%20 Facilitating%20Conditions&text=The%20degree%20to%20which%20an

Etikan, I., & Bala, K. (2017). Sampling and sampling methods. Biometrics & Biostatistics International Journal, 5(6), 00149. DOI: https://doi.org/10.15406/bbij.2017.05.00149

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. DOI: https://doi.org/10.1177/1529100612436522

Furman, W., & Shaffer, L. (2003). The role of romantic relationships in adolescent development. Adolescent romantic relations and sexual behavior: Theory, research, and practical implications, 3-22.

GMO Research. (2021). Online dating in Asia. Retrieved from https://gmo-research.com/newsevents/articles/online-dating-asia

GMO Research. (2021). Online dating in Asia: Should it be taken seriously? Retrieved from https://gmo-research.com/news-events/articles/online-dating-asia-should-it-be-taken-seriously

Gómez-López, M., Viejo, C., & Ortega-Ruiz, R. (2019). Well-being and romantic relationships: A systematic review in adolescence and emerging adulthood. International journal of environmental research and public health, 16(13), 2415. DOI: https://doi.org/10.3390/ijerph16132415

Gray, M. R., & Steinberg, L. (1999). 10 Adolescent Romance and the Parent-Child Relationship: A Contextual Perspective. The development of romantic relationships in adolescence, 235. DOI: https://doi.org/10.1017/CBO9781316182185.011

IBM. (2021, January 1). Reliability Analysis. Www.ibm.com. https://www.ibm.com/docs/en/spss-statistics/25.0.0?topic=features-reliability-analysis

James, E. (2021). What is Correlation Analysis? Definition and Exploration. Flexmr. https://blog.flexmr.net/correlation-analysis-definition-exploration

Jansen, D., & Warren, K. (2023, September). Validity & Reliability In Research: Simple Explainer + Examples. Grad Coach. https://gradcoach.com/validity-reliability-research/

Kenya Projects Organization (KENPRO). (2012, August 25). Sample Size Determination Using Krejcie and Morgan Table. KENPRO. https://www.kenpro.org/sample-size-determination-using-krejcie-and-morgan-table/

Kowieski, J. (2023, January 12). What is Data Reliability and How Do You Make Data Reliable?ThoughtSpot. https://www.thoughtspot.com/data-trends/analytics/data-reliability

Kupfer, A., Ableitner, L., Schöb, S., & Tiefenbeck, V. (2016). Technology adoption vs. Continuous usage intention: do decision criteria change when using a technology?

Laerd Statistics. (2018). Cronbach’s Alpha in SPSS Statistics - procedure, output, and interpretation of the output using a relevant example | Laerd Statistics. Laerd.com. https://statistics.laerd.com/spss-tutorials/cronbachs-alpha-using-spss-statistics.php

Lathabhavan, R., & Padhy, P. C. (2022). Role of fear of COVID-19 in the relationship of problematic internet use and stress: A retrospective cohort study among Gen X, Y and Z. Asian Journal of Psychiatry, 67, 102937. DOI: https://doi.org/10.1016/j.ajp.2021.102937

Liew, T. W., Tan, S., Sung, J., Gan, C. L., & Lee, Y. Y. (2023). Love is in the cloud: Uncovering the factors driving continuous use intention of online dating applications. Cogent Social Sciences, 9(1). https://doi.org/10.1080/23311886.2023.2232110

Malhotra, N. K., Nunan, D., & Birks, D. F. (2017). Marketing research: an applied approach (5th ed.). Pearson. https://thuvienso.hoasen.edu.vn/handle/123456789/11842

Mayer, R. C., Davis, J. H., & Schoorman, F. D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709-734. DOI: https://doi.org/10.5465/amr.1995.9508080335

Natasha, F. (2021, May 24). The main advantages of Online Dating – Pengadilan Agama Kisaran. https://www.pa-kisaran.go.id/the-main-advantages-of-online-dating/#:~:text=Internet%20 dating %20makes%20it%20easier

Orlando, A. (2020, June 19). 10 Benefits of Online Dating. Marriage Advice - Expert Marriage Tips & Advice. https://www.marriage.com/advice/relationship/benefits-of-online-dating/

Patil, P., Tamilmani, K., Rana, N. P., & Raghavan, V. (2020). Understanding consumer adoption of mobile payment in India: Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management, 54, 102144 DOI: https://doi.org/10.1016/j.ijinfomgt.2020.102144

Peng, T. Q., & Cao, J. (2017). Exploring the impact of social influence on individual adoption of mobile social networking applications: An empirical study in China. Information Technology & People, 30(1), 154-176.

Pulse, College (2021). One-Quarter of College Students Are Dating Less during COVID-19. Collegepulse.com https://collegepulse.com/blog/one-quarter-of-college-students-are-dating-less-during-covid-19

Q.Meeker, W. (2023). Reliability Data Analysis. https://www.jmp.com/en_my/articles/reliability-data-analysis.html

Sekaran, U. and Bougie, R. (2013), Research Methods for Business: A Skill Building Approach Sixth Edition, 6th ed, John Wiley and Sons Ltd, West Sussex.

Simelane, L. (2023). What is primary data? And how do you collect it? SurveyCTO. https://www.surveycto.com/best-practices/primary-data-collection/

Shrikant, A. (2023, February 7). 42% of daters think apps like Tinder and Bumble make it easier to find a long-term partner.CNBC. https://www.cnbc.com/2023/02/07/new-study-dating-apps-make-it-easier-to-find-a-partner.html

Sintonen, S., & Sundqvist, S. (2010). Role of Personal Innovativeness in Intentions to Adopt Mobile Services–Cross-Service Approach. In Encyclopedia of E-Business Development and Management in the Global Economy (pp. 801-811). IGI Global. DOI: https://doi.org/10.4018/978-1-61520-611-7.ch080

Taherdoost, H. (2016). Sampling methods in research methodology; how to choose a sampling technique for research. International Journal of Academic Research in Management (IJARM), 5(2), 18-27. DOI: https://doi.org/10.2139/ssrn.3205035

Taherdoost, H. (2021). Data Collection Methods and Tools for Research; A Step-by-Step Guide to Choose Data Collection Technique for Academic and Business Research Projects. International Journal of Academic Research in Management (IJARM), 10(1), 10-38

TalendAQlikCompany. (2023). What is Data Reliability? Definition & Assessment Guide. Talend Real-Time Open-SourceData Integration Software. https://www.talend.com/resources/what-is-data-reliability/

Tze, W. L., Tan, S.-M., Sung, J., Chin Lay Gan, & Yi Yong Lee. (2023). Love is in the cloud: Uncovering the factors driving continuous use intention of online dating applications. Cogent Social Sciences, 9(1). https://doi.org/10.1080/23311886.2023.223211. DOI: https://doi.org/10.1080/23311886.2023.2232110

Published
2024-10-27
How to Cite
Jamaludin, N., Mohd Yusof, N., Maishahadi, F., Sohid, F., Syed Omar, S. A. S., Ishak, M. F., Syed Yusof, S. M., & Saidon, J. (2024). Determinants of Online Dating Application Among Millennials. Information Management and Business Review, 16(3S(I)a), 750-760. https://doi.org/10.22610/imbr.v16i3S(I)a.4162
Section
Research Paper