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Millennials’ Intention to Use Digital Real Estate Platform During the COVID-19 Pandemic: The Stimulus-Organism-Response Approach

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Proceedings of International Conference on Emerging Technologies and Intelligent Systems (ICETIS 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 299))

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Abstract

Malaysia’s real estate industry is undergoing its digital transformation as COVID-19 takes effect. Both forms of physical property transactions have been digitalised, which prompted many opportunities for the sector. In response, the real estate industry acts as an enterprise that provides more streamlined offerings to buyers than ever before. Much of the digital technology has offered new opportunities to realty business to target specific market segments such as millennials who have a unique characteristic compared to other generations. However, few studies have investigated this area concerning the millennials. Thus, this study examines the intention to use the digital real estate platform among millennials in Malaysia by utilising the Stimulus-Organism-Response (S-O-R) model as the guiding principle. Partial Least Squares-Structural Equation Modelling (PLS-SEM) approach was employed to test the hypotheses. The effectiveness factor strongly influenced millennials’ intention to use the digital real estate platform because they believed that by using the technology, the real estate platform would be free of effort and enabled them to save time when making important decisions whether to purchase or rent any of the real estate product or services. Digital technology also allows millennials to search at their pace and convenience, learning a great deal about the property and related issues before they begin any actual negotiations. The findings highlight several factors that substantially affect millennial consumers’ intention to use the real estate platform. Suggestions for further study are also discussed.

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References

  1. Ahuja, M., Gupta, B., Raman, P.: An empirical investigation of online consumer purchasing behavior. Commun. ACM 46(12), 145–151 (2003)

    Article  Google Scholar 

  2. Baen, J., Guttery, R.: The coming downsizing of real estate: Implications of technology. J. Real Estate Portfolio Manag. 3(1), 1–18 (1997)

    Article  Google Scholar 

  3. Bardhan, A.D., Jaffee, D., Kroll, C.: The internet, e-commerce, and the real estate industry (2000)

    Google Scholar 

  4. Bell, H., Tang, N.K.: The effectiveness of commercial Internet Web sites: a user’s perspective. Internet Research (1998)

    Google Scholar 

  5. Boonsiritomachai, W., Sud-On, P.: Increasing purchase intention and word-of-mouth through hotel brand awareness. Tourism Hosp. Manag. 26(2), 265–289 (2020)

    Article  Google Scholar 

  6. Chang, M.L.D., Suki, N.M.: Understanding consumers intention to use online property websites: a conceptual model. Labuan Bull. Int. Bus. Finan. (LBIBF) 17, 139–146 (2019)

    Google Scholar 

  7. Chin, W.W.: Overview of the PLS Method (2018). http://plsgraph.com/

  8. Chin, W.W., Marcolin, B.L., Newsted, P.R.: A partial least squares latent variable modelling approach for measuring interaction effects: results from a Monte Carlo simulation study and electronic-mail emotion/adoption study. Inf. Syst. Res. 14(2), 189–217 (2003)

    Article  Google Scholar 

  9. Chin, W.W.: The partial least squares approach to structural equation modelling. Mod. Methods Bus. Res. 295(2), 295–336 (1998)

    Google Scholar 

  10. Chen, Q., Clifford, S.J., Wells, W.D.: Attitude toward the site: new information. J. Advert. Res. 39(5), 28–38 (1999)

    Google Scholar 

  11. Chen, C.C., Yao, J.Y.: What drives impulse buying behaviours in a mobile auction? The perspective of the stimulus-organism-response model. Telemat. Inform. 35(5), 12491262 (2018)

    Google Scholar 

  12. Choi, Y.: Technology acceptance model and stimulus-organism response for the use intention of consumers in social commerce. Int. J. E-Bus. Res. (IJEBR) 15(2), 93–101 (2019)

    Article  Google Scholar 

  13. Clarke III, I.: Emerging value propositions for m-commerce. MIS Q. J. Bus. Strat. 25(2), 319–340 (2008)

    Google Scholar 

  14. Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology (1989)

    Google Scholar 

  15. Dailey, L.: Navigational web atmospherics: explaining the influence of restrictive navigation cues. J. Bus. Res. 57(7), 795–803 (2004)

    Article  Google Scholar 

  16. Del Giudice, V., De Paola, P., Del Giudice, F.P.: COVID-19 infects real estate markets: short and mid-run effects on housing prices in Campania region (Italy). Soc. Sci. 9(7), 114 (2020)

    Article  Google Scholar 

  17. Dholakia, U.M., Rego, L.L.: What makes commercial Web pages popular? An empirical investigation of Web page effectiveness. Eur. J. Mark. (1998)

    Google Scholar 

  18. Durkaya, B.: Examining the helpfulness of online customer reviews based on review related factors: the moderating effect of product type (Doctoral dissertation, Institute of Science and Technology) (2020)

    Google Scholar 

  19. Dyana, M.L., Hamid, R., Lajuni, N., Suki, N.M.: What drives consumers intention to use online property websites: a conceptual model. J. Soc. Sci. Res. 630–633 (2018)

    Google Scholar 

  20. Dyana, C.M.L., Suki, N.M., Lajuni, N., Hamid, R.: Towards industry revolution 4.0 practice: millennial’s intention to use online property websites by applying the Stimulus-Organism-Response (SOR) model. Int. J. Supply Chain Manag. 8(4), 1032–1038 (2019)

    Google Scholar 

  21. Edmunds, R., Thorpe, M., Conole, G.: Student attitudes towards and use of ICT in course study, work, and social activity: a technology acceptance model approach. Br. J. Edu. Technol. 43(1), 71–84 (2012)

    Article  Google Scholar 

  22. Ettis, S.A.: Examining the relationships between online store atmospheric colour, flow experience and consumer behaviour. J. Retail. Consum. Serv. 37(2017), 43–55 (2017)

    Article  Google Scholar 

  23. Hair, J.F., Hult, G.T.M., Ringle, C.M., Sarstedt, M., Thiele, K.O.: Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modelling methods. J. Acad. Mark. Sci. 45, 616–632 (2017)

    Article  Google Scholar 

  24. Hair, J.F., Sarstedt, M., Ringle, C.M., Mena, J.A.: An assessment of the use of partial least squares structural equation modelling in marketing research. J. Acad. Mark. Sci. 40(3), 414–433 (2012)

    Article  Google Scholar 

  25. Hamzah, A., Yazid, M.F., Shamsudin, M.F.: Post Covid-19: what next for real estate industrial sector in Malaysia? J. Postgraduate Curr. Bus. Res. 1(1) (2020)

    Google Scholar 

  26. Harun, A., Husin, W.H.R.: Is the purchasing behavior of suburban millennials affected by social media marketing? Empirical Evidence from Malaysia (2019)

    Google Scholar 

  27. Hoffman, D.L., Novak, T.P.: Flow online: lessons learned and future prospects. J. Interact. Mark. 23(1), 23–34 (2009)

    Article  Google Scholar 

  28. Hoffman, D.L., Novak, T.P., Peralta, M.: Building consumer trust online. Commun. ACM 42(4), 80–85 (1999)

    Article  Google Scholar 

  29. Hsu, C.L., Lu, H.P.: Why do people play online games? An extended TAM with social influences and flow experience. Inf. Manag. 41(7), 853–868 (2004)

    Article  Google Scholar 

  30. Hsu, C.L., Chang, K.C., Chen, M.C.: Flow experience and internet shopping behavior: investigating the moderating effect of consumer characteristics. Syst. Res. Behav. Sci. 29(3), 317–332 (2012)

    Article  Google Scholar 

  31. Huizingh, E.K.: The content and design of web sites: an empirical study. Inf. Manag. 37(3), 123–134 (2000)

    Article  Google Scholar 

  32. Joia, L.A., Gutman, L.F.D., Moreno, V., Jr.: The intention of use of home broker systems from the stock market investors’ perspective. J. High Technol. Managem. Res. 27(2), 184–195 (2016)

    Article  Google Scholar 

  33. Klassen, R.D., Whybark, D.C.: Environmental management in operations: the selection of environmental technologies. Decis. Sci. 30(3), 601–631 (1999)

    Google Scholar 

  34. Kim, Y.: Cultural difference in motivations for using social networking site, a comparative study of American and Korean college students. Comput. Hum. Behav. 27(1), 365–372 (2011)

    Article  Google Scholar 

  35. Koufaris, M.: Applying the technology acceptance model and flow theory to online consumer behaviour. Inf. Syst. Res. 13(2), 205–223 (2002)

    Article  Google Scholar 

  36. Kurniawati, N.: Creating low-cost animation video using online platform: a learning media user review. Jurnal Pendidikan Kedokteran Indonesia: Indonesian J. Med. Educ. 9(1), 26–31 (2020)

    Article  Google Scholar 

  37. Lim, I.: Reality for Malaysia’s university students: online learning challenges, stress, workload; possible solutions for fully digital future until Dec (2020). www.malaymail.com

  38. Lin, J.-J., Chung, X.-J., Yang, C.-Y., Lau, H.-L.: A meta-analysis of trials using the intention to treat principle for glutamine supplementation in critically ill patients with burn. Burns 39(4), 565–570 (2013)

    Article  Google Scholar 

  39. Lee, S.M., Chen, L.: The impact of flow on online consumer behaviour. J. Comput. Inf. Syst. 50(4), 1–10 (2010)

    Google Scholar 

  40. Marjerison, R.K., Hu, Y.A.: Exploring the impact of peer influence on online shopping: the case of Chinese Millennials. In: Quality Management for Competitive Advantage in Global Markets, pp. 196–210. IGI Global (2021)

    Google Scholar 

  41. Mazaheri, E., Richard, M.O., Laroche, M.: The role of emotions in online consumer behavior: a comparison of search, experience, and credence services. J. Serv. Mark. 26(7), 535–550 (2012)

    Article  Google Scholar 

  42. Mehrabian, A., Russell, J.A.: An Approach to Environmental Psychology. The MIT Press (1974)

    Google Scholar 

  43. Michaelidou, N.: Usage, barriers and measurement of social media marketing, an exploratory investigation of small and medium B2B brands. Ind. Mark. Manag. 40(7), 1153–1159 (2011)

    Article  Google Scholar 

  44. Ni, A.Y., Ho, A.T.K.: Challenges in e-government development: lessons from two information kiosk projects. Gov. Inf. Q. 22(1), 58–74 (2005)

    Article  Google Scholar 

  45. Park, S.Y., Nam, N.W., Cha, S.B.: University students’ behavioural intention to use mobile learning: evaluating the technology acceptance model. Br. J. Edu. Technol. 43(4), 592–605 (2012)

    Article  Google Scholar 

  46. Peterson, S., Bredow, T.S.: Middle Range Theories: Application to Nursing Research and Practice. Lippincott Williams & Wilkins (2019)

    Google Scholar 

  47. Rangaswamy, A., Moch, N., Felten, C., van Bruggen, G., Wieringa, J.E., Wirtz, J.: The role of marketing in digital business platforms. J. Interact. Mark. 51, 72–90 (2020)

    Article  Google Scholar 

  48. Richard, M.O.: Modelling the impact of internet atmospherics on surfer behavior. J. Bus. Res. 58(12), 1632–1642 (2005)

    Article  Google Scholar 

  49. Ringle, C.M., Wende, S., Becker, J.M.: SmartPLS 3.2.7 (2015). http://www.smartpls.com. Accessed 4 Feb 2017

  50. Shin, J.I., Chung, K.H., Oh, J.S. Lee, C.W.: The effect of site quality on repurchase intention in Internet shopping through mediating variables: the case of university students in South Korea. Int. J. Inf. Manag. 33(3), 453463 (2013)

    Google Scholar 

  51. Suki, N.M., Lajuni, N., Hamid, R.: Towards industry revolution 4.0 practice: Millennial’s intention to use online property websites by applying the Stimulus-Organism-Response (SOR) model. Int. J. Sup. Chain. Mgt. 8(4), 1032 (2019)

    Google Scholar 

  52. Teo, T., Fan, X., Du, J.: Technology acceptance among preservice teachers: does gender matter? Australas. J. Educ. Technol. 31(3), 235–251 (2015)

    Article  Google Scholar 

  53. To, W.M., Lai, L.S., Leung, V.W.: Technology acceptance model for the intention to use advanced business application software among Chinese business school students. Australas. J. Educ. Technol. 34(4), 160–173 (2019)

    Google Scholar 

  54. To, W.M., Tang, M.N.F.: Computer-based course evaluation: an extended technology acceptance model. Educ. Stud. 45(2), 131–144 (2019)

    Article  Google Scholar 

  55. Verhagen, T., Van, D.W.: The influence of online store beliefs on consumer online impulse buying a model and empirical application. Inf. Manag. 48(8), 320327 (2011)

    Google Scholar 

  56. Venkatesh, V.: Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Inf. Syst. Res. 11(4), 342–365 (2000)

    Article  Google Scholar 

  57. Wright, K.B.: Researching internet-based populations: advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey services. J. Comput.-Mediated Commun. 10(3) (2005)

    Google Scholar 

  58. Zhao, L., Lu, Y., Wang, B., Huang, W.: What makes them happy and curious online? An empirical study on high school students’ Internet use from a self-determination theory perspective. Comput. Educ. 56(2), 346–356 (2011)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Centre for the Promotion of Knowledge and Language Learning, Universiti Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia

    Chang Mui Ling Dyana

  2. Labuan Faculty of International Finance, Universiti Malaysia Sabah, Labuan International Campus, 87000, Labuan, Malaysia

    Rizal Hamid

  3. Faculty of Business, Economics and Accountancy, Universiti Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia

    Nelson Lajuni

  4. Othman Yeop Abdullah Graduate School of Business, Universiti Utara Malaysia, 50300, Kuala Lumpur, Malaysia

    Norazah Mohd Suki

Authors
  1. Chang Mui Ling Dyana
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  2. Rizal Hamid
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  3. Nelson Lajuni
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  4. Norazah Mohd Suki
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Corresponding author

Correspondence to Chang Mui Ling Dyana .

Editor information

Editors and Affiliations

  1. The British University in Dubai, Dubai, United Arab Emirates

    Mostafa Al-Emran

  2. Universiti Teknologi Malaysia, Skudai, Johor, Malaysia

    Mohammed A. Al-Sharafi

  3. Al Buraimi University College, Al Buraimi, Oman

    Mohammed N. Al-Kabi

  4. The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

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Mui Ling Dyana, C., Hamid, R., Lajuni, N., Suki, N.M. (2022). Millennials’ Intention to Use Digital Real Estate Platform During the COVID-19 Pandemic: The Stimulus-Organism-Response Approach. In: Al-Emran, M., Al-Sharafi, M.A., Al-Kabi, M.N., Shaalan, K. (eds) Proceedings of International Conference on Emerging Technologies and Intelligent Systems. ICETIS 2021. Lecture Notes in Networks and Systems, vol 299. Springer, Cham. https://doi.org/10.1007/978-3-030-82616-1_45

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