IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2312.06994.html
   My bibliography  Save this paper

The behavioral intention to adopt Proptech services in Vietnam real estate market

Author

Listed:
  • Le Tung Bach

Abstract

One of the main stages for achieving success is the adoption of new technology by its users. Several studies show that Property technology is advantageous for real estate stakeholders. Hence, the purpose of this paper is to investigate the users' engagement behavior to adopt Property technology in the Vietnamese real estate market. To that end, a purposive sample of 142 participants was recruited to complete an online quantitative approach based survey. The survey consisted of a modified and previously validated measure of acceptance based on the extended demographic version of the unified theory of acceptance and use of technology), as well as usage scale items. The empirical findings confirm that participants were generally accepting of Property technology in the Vietnamese real estate market. The highest mean values were associated with the subscales of effort expectancy and performance expectancy, while we can easily identify the lowest mean value in the social influence subscale. The usage of Property technology was slightly more concerned with the gathering of information on properties and markets than transactions or portfolio management. This study provides an in depth understanding of Property technology for firms' managers and marketers. Online social interactions might be either harmful or fruitful for firms depending on the type of interaction and engagement behavior. This is especially true of property portals and social media forums that would help investors to connect, communicate and learn. Findings can help users to improve their strategies for digital marketing. By providing robust findings by addressing issues like omitted variables and endogeneity, the findings of this study are promising for developing new hypotheses and theoretical models in the context of the Vietnamese real estate market.

Suggested Citation

  • Le Tung Bach, 2023. "The behavioral intention to adopt Proptech services in Vietnam real estate market," Papers 2312.06994, arXiv.org.
    • Handle: RePEc:arx:papers:2312.06994
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2312.06994
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Christopher W. Starr & Jesse Saginor & Elaine Worzala, 2020. "The rise of PropTech: emerging industrial technologies and their impact on real estate," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 39(2), pages 157-169, November.
    2. Fahim Ullah & Samad M. E. Sepasgozar, 2020. "Key Factors Influencing Purchase or Rent Decisions in Smart Real Estate Investments: A System Dynamics Approach Using Online Forum Thread Data," Sustainability, MDPI, vol. 12(11), pages 1-36, May.
    3. Jiwoo Jung & Eunkyung Park & Joonho Moon & Won Seok Lee, 2021. "Exploration of Sharing Accommodation Platform Airbnb Using an Extended Technology Acceptance Model," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    4. Coulter, Robin A & Price, Linda L & Feick, Lawrence, 2003. "Rethinking the Origins of Involvement and Brand Commitment: Insights from Postsocialist Central Europe," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 151-169, September.
    5. Sheen Low & Fahim Ullah & Sara Shirowzhan & Samad M. E. Sepasgozar & Chyi Lin Lee, 2020. "Smart Digital Marketing Capabilities for Sustainable Property Development: A Case of Malaysia," Sustainability, MDPI, vol. 12(13), pages 1-40, July.
    6. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    7. Jinmin Kim & Jaeyoung Kim, 2021. "An Integrated Analysis of Value-Based Adoption Model and Information Systems Success Model for PropTech Service Platform," Sustainability, MDPI, vol. 13(23), pages 1-17, November.
    8. Gupta, Arpit & Mittal, Vrinda & Peeters, Jonas & Van Nieuwerburgh, Stijn, 2022. "Flattening the curve: Pandemic-Induced revaluation of urban real estate," Journal of Financial Economics, Elsevier, vol. 146(2), pages 594-636.
    9. Lucia Gibilaro & Gianluca Mattarocci, 2020. "Crowdfunding REITs: a new asset class for the real estate industry?," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 39(2), pages 84-96, March.
    10. Martins, Carolina & Oliveira, Tiago & Popovič, Aleš, 2014. "Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application," International Journal of Information Management, Elsevier, vol. 34(1), pages 1-13.
    11. Fahim Ullah & Samad M. E. Sepasgozar & Changxin Wang, 2018. "A Systematic Review of Smart Real Estate Technology: Drivers of, and Barriers to, the Use of Digital Disruptive Technologies and Online Platforms," Sustainability, MDPI, vol. 10(9), pages 1-44, September.
    12. Shirley Kempeneer & Michaël Peeters & Tine Compernolle, 2021. "Bringing the User Back in the Building: An Analysis of ESG in Real Estate and a Behavioral Framework to Guide Future Research," Sustainability, MDPI, vol. 13(6), pages 1-12, March.
    13. Yu-Jin Choi & Jin-Woo Park, 2020. "Investigating Factors Influencing the Behavioral Intention of Online Duty-Free Shop Users," Sustainability, MDPI, vol. 12(17), pages 1-20, August.
    14. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Queiroz, Maciel M. & Fosso Wamba, Samuel, 2019. "Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA," International Journal of Information Management, Elsevier, vol. 46(C), pages 70-82.
    2. Simarpreet Kaur & Sangeeta Arora, 2023. "Understanding customers’ usage behavior towards online banking services: an integrated risk–benefit framework," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 28(1), pages 74-98, March.
    3. Mehra, Aashish & Rajput, Sneha & Paul, Justin, 2022. "Determinants of adoption of latest version smartphones: Theory and evidence," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    4. Abhishek Behl & Pankaj Dutta & Zongwei Luo & Pratima Sheorey, 2022. "Enabling artificial intelligence on a donation-based crowdfunding platform: a theoretical approach," Annals of Operations Research, Springer, vol. 319(1), pages 761-789, December.
    5. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    6. Sarv Devaraj & Robert F. Easley & J. Michael Crant, 2008. "Research Note ---How Does Personality Matter? Relating the Five-Factor Model to Technology Acceptance and Use," Information Systems Research, INFORMS, vol. 19(1), pages 93-105, March.
    7. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    8. Schweizer, T.S., 2002. "Managing interactions between technological and stylistic innovation in the media industries, insights from the introduction of ebook technology in the publishing industry," ERIM Report Series Research in Management ERS-2002-16-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Wang, Guoqiang & Tan, Garry Wei-Han & Yuan, Yunpeng & Ooi, Keng-Boon & Dwivedi, Yogesh K., 2022. "Revisiting TAM2 in behavioral targeting advertising: A deep learning-based dual-stage SEM-ANN analysis," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    10. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    11. Buvár Ágnes & Gáti Mirkó, 2023. "Digital marketing adoption of microenterprises in a technology acceptance approach," Management & Marketing, Sciendo, vol. 18(2), pages 127-144, June.
    12. Francisco Rejón-Guardia & Juán Sánchez-Fernández & Francisco Muñoz-Leiva, 2011. "Motivational Factors that influence the Acceptance of Microblogging Social Networks: The µBAM Model," FEG Working Paper Series 06/11, Faculty of Economics and Business (University of Granada).
    13. Bhukya, Ramulu & Paul, Justin, 2023. "Social influence research in consumer behavior: What we learned and what we need to learn? – A hybrid systematic literature review," Journal of Business Research, Elsevier, vol. 162(C).
    14. Siti Salwa Mohd Ishak & Sidney Newton, 2018. "Testing a Model of User Resistance Towards Technology Adoption in Construction Organizations," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-27, December.
    15. Raouf Jaziri & Mohammad Miralam, 2019. "Modelling the crowdfunding technology adoption among novice entrepreneurs: an extended tam model," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(4), pages 2159-2179, June.
    16. Akansha Mer & Amarpreet Singh Virdi, 2023. "Modeling Millennials’ Adoption Intentions of E-banking: Extending UTAUT with Perceived Risk and Trust," FIIB Business Review, , vol. 12(4), pages 425-438, December.
    17. Faqih, Khaled M.S., 2016. "An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 140-164.
    18. Sanjeev Verma, 2015. "Harnessing the Benefit of Social Networking Sites for Intentional Social Action: Determinants and Challenges," Vision, , vol. 19(2), pages 104-111, June.
    19. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    20. Li-Su Huang & Cheng-Po Lai, 2014. "Knowledge Management Adoption And Diffusion Using Structural Equation Modeling," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 8(1), pages 39-56.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2312.06994. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.