Does Virtual Reality Help Property Sales? Empirical Evidence from a Real Estate Platform

References

• Agarwal S, He J, Sing TF, Song C (2019) Do real estate agents have information advantages in housing markets? J. Financial Econom. 134(3):715–735.Crossref, Google Scholar
• Allen MT, Cadena A, Rutherford J, Rutherford RC (2015) Effects of real estate brokers’ marketing strategies: Public open houses, broker open houses, MLS virtual tours, and MLS photographs. J. Real Estate Res. 37(3):343–370.Crossref, Google Scholar
• Allison PD (1982) Discrete-time methods for the analysis of event histories. Sociol. Methodology 13:61.Crossref, Google Scholar
• Arnold MA (1992) The principal‐agent relationship in real estate brokerage services. Real Estate Econom. 20(1):89–106.Crossref, Google Scholar
• Atiyat M (2011) Instrumental variable modeling in a survival analysis framework. Dissertation, Pennsylvania State University, University Park.Google Scholar
• Benjamin J, Jud G, Sirmans G (2000) What do we know about real estate brokerage? J. Real Estate Res. 20(1–2):5–30.Crossref, Google Scholar
• Bogicevic V, Seo S, Kandampully JA, Liu SQ, Rudd NA (2019) Virtual reality presence as a preamble of tourism experience: The role of mental imagery. Tourism Management 74:55–64.Google Scholar
• Caliendo M, Kopeinig S (2008) Some practical guidance for the implementation of propensity score matching. J. Econom. Survey 22(1):31–72.Crossref, Google Scholar
• Carrillo PE (2008) Information and real estate transactions: The effects of pictures and virtual tours on home sales. Working paper, The George Washington University, Washington, DC.Google Scholar
• Choi AA, Cho D, Yim D, Yun Moon J, Oh W, Yun J (2017) When seeing helps believing: The interactive effects of previews and reviews on e-book purchases. Inform. Systems Res. 30(4):1164–1183.Link, Google Scholar
• Choudhury V, Karahanna E (2008) The relative advantage of electronic channels: A multidimensional view. Management Inform. Systems Quart. 32(1):179–200.Crossref, Google Scholar
• Chung CF, Schmidt P, Witte AD (1991) Survival analysis: A survey. J. Quant. Criminology 7(1):59–98.Crossref, Google Scholar
• Clarke K, Belk RW (1978) The effects of product involvement and task definition on anticipated consumer effort. Adv. Consumer Res. 6(1):313–318.Google Scholar
• Cox DR (1972) Regression models and life tables. J. Roy. Statist. Soc. B 34(2):187–220.Crossref, Google Scholar
• Cox DR (1975) Partial likelihood. Biometrika 62(2):269–276.Crossref, Google Scholar
• Dale E (1969) Audiovisual Methods in Teaching (Holt, Rinehart and Winston, New York).Google Scholar
• Danaher PJ, Smith MS, Ranasinghe K, Danaher TS (2015) Where, when, and how long: Factors that influence the redemption of mobile phone coupons. J. Marketing Res. 52(5):710–725.Crossref, Google Scholar
• Debbabi S, Daassi M, Baile S (2010) Effect of online 3D advertising on consumer responses: The mediating role of telepresence. J. Marketing Management 26(9–10):967–992.Crossref, Google Scholar
• Dimoka A, Hong Y, Pavlou PA (2012) On product uncertainty in online markets: Theory and evidence. Management Inform. Systems Quart. 36(2):395–426.Crossref, Google Scholar
• Dincelli E, Yayla A (2022) Immersive virtual reality in the age of the Metaverse: A hybrid-narrative review based on the technology affordance perspective. J. Strategic Inform. Systems 31(2):963–8687.Crossref, Google Scholar
• Dwivedi YK, Hughes L, Baabdullah AM, Ribeiro-Navarrete S, Giannakis M, Al-Debei MM, Dennehy D, et al. (2022) Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. Internat. J. Inform. Management 66:102542.Crossref, Google Scholar
• Fowler SJ, Fowler JJ, Seagraves PA, Beauchamp CF (2018) A fundamentalist theory of real estate market outcomes. Econom. Modeling 73:295–305.Crossref, Google Scholar
• Häubl G, Trifts V (2000) Consumer decision making in online shopping environments: The effects of interactive decision aids. Marketing Sci. 19(1):4–21.Link, Google Scholar
• Jiang Z, Benbasat I (2007a) Research note: Investigating the influence of the functional mechanisms of online product presentations. Inform. Systems Res. 18(4):454–470.Link, Google Scholar
• Jiang Z, Benbasat I (2007b) The effects of presentation formats and task complexity on online consumers’ product understanding. Management Inform. Systems Quart. 31(3):475–500.Crossref, Google Scholar
• Jiang B, Li J, Fine J (2018) On two-step residual inclusion estimator for instrument variable additive hazards model. Biostatist. Epidemiology 2(1):47–60.Crossref, Google Scholar
• Jones P, Hudson J (1996) Signalling product quality: When is price relevant? J. Econom. Behav. Organ. 30(2):257–266.Crossref, Google Scholar
• Kalbfleisch JD, Prentice RL (2011) The Statistical Analysis of Failure Time Data (John Wiley & Sons, Hoboken, NJ).Google Scholar
• Kim Y, Krishnan R (2015) On product-level uncertainty and online purchase behavior: An empirical analysis. Management Sci. 61(10):2449–2467.Link, Google Scholar
• King G, Nielsen R (2019) Why propensity scores should not be used for matching. Political Anal. 27(4):435–454.Crossref, Google Scholar
• Laurent G, Kapferer J-N (1985) Measuring consumer involvement profiles. J. Marketing Res. 22(1):41–53.Google Scholar
• Lele A (2013) Virtual reality and its military utility. J. Ambient Intelligent Humanizing Comput. 4(1):17–26.Crossref, Google Scholar
• Li L, Yu F, Shi D, Shi J, Tian Z, Yang J, Wang X, et al. (2017) Application of virtual reality technology in clinical medicine. Amer. J. Translational Res. 9(9):3867–3880.Google Scholar
• Luo J, Ba S, Zhang H (2012) The effectiveness of online shopping characteristics and well-designed websites on satisfaction. Management Inform. Systems Quart. 36(4):1131–1144.Crossref, Google Scholar
• Malpezzi S (2002) Chapter 5: Hedonic pricing models: A selective and applied review. O’Sulliva T, Gibb K, eds. Housing Economics and Public Policy (Blackwell Science Ltd, Oxford, UK), 67–89.Crossref, Google Scholar
• Miller NG (1978) Time on the market and selling price. Real Estate Econom. 6(2):164–174.Crossref, Google Scholar
• Nah FFH, Eschenbrenner B, De wester D (2011) Enhancing brand equity through flow: Comparison of 2D vs. 3D virtual world. Management Inform. Systems Quart. 35(3):731–747.Crossref, Google Scholar
• Papagiannidis S, Pantano E, See-To EWK, Bourlakis M (2013) Modelling the determinants of a simulated experience in a virtual retail store and users’ product purchasing intentions. J. Marketing Management 29(13–14):1462–1492.Crossref, Google Scholar
• Pavlou P, Liang H, Xue Y (2007) Understanding and mitigating uncertainty in online exchange relationships: A principal-agent perspective. Management Inform. Systems Quart. 31(1):105–135.Crossref, Google Scholar
• Peterson RA (1970) The price-perceived quality relationship: Experimental evidence. J. Marketing Res. 7(4):525.Crossref, Google Scholar
• Petty RE, Cacioppo JT (1979) Issue involvement can increase or decrease persuasion by enhancing message-relevant cognitive responses. J. Personality Soc. Psych. 37(10):1915–1926.Crossref, Google Scholar
• Petty RE, Cacioppo JT (1981) Issue involvement as a moderator of the effects on attitude of advertising content and context. Adv. Consumer Res. 8:20–24.Google Scholar
• Pizzi G, Scarpi D, Pichierri M, Vannucci V (2019) Virtual reality, real reactions?: Comparing consumers’ perceptions and shopping orientation across physical and virtual-reality retail stores. Comput. Human Behav. 96:1–12.Crossref, Google Scholar
• Pleyers G, Poncin I (2020) Non-immersive virtual reality technologies in real estate: How customer experience drives attitudes toward properties and the service provider. J. Retailing Consumer Service 57:102175.Crossref, Google Scholar
• Portman ME, Natapov A, Fisher-Gewirtzman D (2015) To go where no man has gone before: Virtual reality in architecture, landscape architecture and environmental planning. Comput. Environment. Urban Systems 54:376–384.Crossref, Google Scholar
• Rosenbaum PR (2002) Observational Studies, 2nd ed. (Springer, New York).Crossref, Google Scholar
• Rosenbaum PR, Rubin DB (1983) The central role of the propensity score in observational studies for causal effects. Biometrika 70(1):41–45.Crossref, Google Scholar
• Rubin DB (1974) Estimating causal effects of treatments in randomized and nonrandomized studies. J. Ed. Psych. 66(5):688–701.Crossref, Google Scholar
• Sirmans GS, Macpherson DA, Zietz EN (2005) The composition of hedonic pricing models. J. Real Estate Literature 13(1):3–43.Crossref, Google Scholar
• Spielmann N, Mantonakis A (2018) In virtuo: How user-driven interactivity in virtual tours leads to attitude change. J. Bus. Res. 88:255–264.Crossref, Google Scholar
• Steuer J (1992) Defining virtual reality: Dimensions determining telepresence. J. Comm. 42(4):73–93.Crossref, Google Scholar
• Stock JH, Yogo M (2001) Testing for weak instruments in linear IV regression. NBER Working Paper No. 0284, National Bureau of Economic Research, Cambridge, MA.Google Scholar
• Stuart EA (2010) Matching methods for causal inference: A review and a look forward. Statist. Sci. 25(1):1–21.Crossref, Google Scholar
• Suder PM, Molstad AJ (2022) Scalable algorithms for semiparametric accelerated failure time models in high dimensions. Statist. Medicine 41(6):933–949.Crossref, Google Scholar
• Suh KS, Lee YE (2005) The effects of virtual reality on consumer learning: An empirical investigation. Management Inform. Systems Quart. 29(4):673–697.Crossref, Google Scholar
• Terza JV, Basu A, Rathouz PJ (2008) Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling. J. Health Econom. 27:531–543.Crossref, Google Scholar
• Traylor MB (1981) Product involvement and brand commitment. J. Advertising Res. 21(6):51–55.Google Scholar
• Traylor MB, Joseph WB (1984) Measuring consumer involvement in products: Developing a general scale. Psych. Marketing 1(2):65–77.Crossref, Google Scholar
• Turnbull GK, Dombrow J (2007) Individual agents, firms, and the real estate brokerage process. J. Real Estate Finance Econom. 35(1):57–76.Crossref, Google Scholar
• Van Kerrebroeck H, Brengman M, Willems K (2017) When brands come to life: Experimental research on the vividness effect of virtual reality in transformational marketing communications. Virtual Reality 21(4):177–191.Crossref, Google Scholar
• Wei LJ (1992) The accelerated failure time model: A useful alternative to the Cox regression model in survival analysis. Statist. Medicine 11(14–15):1871–1879.Crossref, Google Scholar
• Wolinsky A (1983) Prices as signals of product quality. Rev. Econom. Stud. 50(4):647.Crossref, Google Scholar
• Yeh CH, Wang YS, Li HT, Lin SY (2017) The effect of information presentation modes on tourists’ responses in Internet marketing: The moderating role of emotions. J. Travel Tourism Marketing 34(8):1018–1032.Google Scholar
• Yu W, Ma Z, Pant G, Hu J (2021) The effect of virtual tours on house price and time on market. J. Real Estate Literature 28(2):133–149.Crossref, Google Scholar
• Zaichkowsky JL (1985) Measuring the involvement construct. J. Consumer Res. 12(3):341–352.Crossref, Google Scholar
• Zaichkowsky JL (1986) Conceptualizing involvement. J. Advertising 15(2):4–34.Crossref, Google Scholar