Why Is the Grass Always Greener on the Other Side? Tourist Bias in Online Restaurant Ratings

Published Online:https://doi.org/10.1287/isre.2020.0620

References

  • Abrahams AS, Fan W, Wang GA, Zhang ZJ, Jiao J (2015) An integrated text analytic framework for product defect discovery. Production Oper. Management 24(6):975–990.CrossrefGoogle Scholar
  • Anderson RE (1973) Consumer dissatisfaction: The effect of disconfirmed expectancy on perceived product performance. J. Marketing Res. 10(1):38–44.CrossrefGoogle Scholar
  • Angelis MD, Bonezzi A, Peluso AM, Rucker DD, Costabile M (2012) On braggarts and gossips: A self-enhancement account of word-of-mouth generation and transmission. J. Marketing Res. 49(4):551–563.CrossrefGoogle Scholar
  • Baym NK (2010) Personal Connections in the Digital Age (Polity Press, Cambridge, UK).Google Scholar
  • Berger J (2014) Word of mouth and interpersonal communication: A review and directions for future research. J. Consumer Psych. 24(4):586–607.CrossrefGoogle Scholar
  • Blackwell M, Iacus S, King G, Porro G (2009) CEM: Coarsened exact matching in Stata. Stata J. 9(4):524–546.CrossrefGoogle Scholar
  • Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J. Machine Learn. Res. 3:993–1022.Google Scholar
  • Chi CG-Q, Qu H (2008) Examining the structural relationships of destination image, tourist satisfaction and destination loyalty: An integrated approach. Tourism Management 29(4):624–636.CrossrefGoogle Scholar
  • Dellarocas C (2006) Strategic manipulation of internet opinion forums: Implications for consumers and firms. Management Sci. 52(10):1577–1593.LinkGoogle Scholar
  • Dellarocas C, Wood CA (2008) The sound of silence in online feedback: Estimating trading risks in the presence of reporting bias. Management Sci. 54(3):460–476.LinkGoogle Scholar
  • Dellarocas C, Zhang XM, Awad NF (2007) Exploring the value of online product reviews in forecasting sales: The case of motion pictures. J. Interactive Marketing 21(4):23–45.CrossrefGoogle Scholar
  • Duan W, Gu B, Whinston AB (2008) Do online reviews matter?—An empirical investigation of panel data. Decision Support Systems 45(4):1007–1016.CrossrefGoogle Scholar
  • Edensor T (2000) Staging tourism: Tourists as performers. Ann. Tourism Res. 27(2):322–344.CrossrefGoogle Scholar
  • Fang J, Hu L, Hossin MA, Yang J, Shao Y (2019) Polluted online reviews: The effect of air pollution on reviewer behavior. Internat. J. Electronic Commerce 23(4):557–594.CrossrefGoogle Scholar
  • Feng J, Li X, Zhang XM (2019) Online product reviews-triggered dynamic pricing: Theory and evidence. Inform. Systems Res. 30(4):1107–1123.LinkGoogle Scholar
  • Filieri R (2016) What makes an online consumer review trustworthy? Ann. Tourism Res. 58:46–64.CrossrefGoogle Scholar
  • Forman C, Ghose A, Wiesenfeld B (2008) Examining the relationship between reviews and sales: The role of reviewer identity disclosure in electronic markets. Inform. Systems Res. 19(3):291–313.LinkGoogle Scholar
  • Frambach RT, Roest HCA, Krishnan TV (2007) The impact of consumer internet experience on channel preference and usage intentions across the different stages of the buying process. J. Interactive Marketing 21(2):26–41.CrossrefGoogle Scholar
  • Gao J, Kerstetter DL (2018) From sad to happy to happier: Emotion regulation strategies used during a vacation. Ann. Tourism Res. 69:1–14.CrossrefGoogle Scholar
  • Goes PB, Lin M, Au Yeung C-M (2014) “Popularity effect” in user-generated content: Evidence from online product reviews. Inform. Systems Res. 25(2):222–238.LinkGoogle Scholar
  • Gottschalk SA, Mafael A (2017) Cutting through the online review jungle—Investigating selective eWOM processing. J. Interactive Marketing 37(1):89–104.CrossrefGoogle Scholar
  • Gretzel U, Fesenmaier DR, O’Leary JT (2006) The transformation of consumer behaviour. Buhalis D, Costa C, eds. Tourism Business Frontiers: Consumers, Products and Industry (Elsevier, Burlington, MA), 9–18.CrossrefGoogle Scholar
  • Gross JJ (1998) The emerging field of emotion regulation: An integrative review. Rev. General Psych. 2(3):271–299.CrossrefGoogle Scholar
  • Gross JJ (2008) Emotion regulation. Lewis M, Haviland-Jones JM, Barrett LF, eds. Handbook of Emotions, 3rd ed. (The Guilford Press, New York), 497–512.Google Scholar
  • Gu B, Ye Q (2014) First step in social media: Measuring the influence of online management responses on customer satisfaction. Production Oper. Management 23(4):570–582.CrossrefGoogle Scholar
  • Haldrup M, Larsen J (2003) The family gaze. Tourism Stud. 3(1):23–45.Google Scholar
  • Ho Y-C, Wu J, Tan Y (2017) Disconfirmation effect on online rating behavior: A structural model. Inform. Systems Res. 28(3):626–642.LinkGoogle Scholar
  • Hu N, Pavlou PA, Zhang J (2017) On self-selection biases in online product reviews. MIS Quart. 41(2):449–471.CrossrefGoogle Scholar
  • Hu N, Zhang J, Pavlou PA (2009) Overcoming the J-shaped distribution of product reviews. Comm. ACM 52(10):144–147.CrossrefGoogle Scholar
  • Huang N, Hong Y, Burtch G (2017) Social network integration and user content generation: Evidence from natural experiments. MIS Quart. 41(4):1035–1058.CrossrefGoogle Scholar
  • Huang N, Burtch G, Hong Y, Polman E (2016) Effects of multiple psychological distances on construal and consumer evaluation: A field study of online reviews. J. Consumer Psych. 26(4):474–482.CrossrefGoogle Scholar
  • Ittelson WH (1973) Environment perception and contemporary perceptual theory. Ittelson WH, ed. Environment and Cognition (Seminar, New York), 1–16.Google Scholar
  • Kokkodis M, Lappas T (2020) Your hometown matters: Popularity-difference bias in online reputation platforms. Inform. Systems Res. 31(2):412–430.LinkGoogle Scholar
  • Lee Y-J, Hosanagar K, Tan Y (2015) Do I follow my friends or the crowd? Information cascades in online movie ratings. Management Sci. 61(9):2241–2258.LinkGoogle Scholar
  • Li X, Hitt LM (2008) Self-selection and information role of online product reviews. Inform. Systems Res. 19(4):456–474.LinkGoogle Scholar
  • Li X, Hitt LM (2010) Price effects in online product reviews: An analytical model and empirical analysis. MIS Quart. 34(4):809–831.CrossrefGoogle Scholar
  • Lin Z, Heng C-S (2015) The paradoxes of word of mouth in electronic commerce. J. Management Inform. Systems 32(4):246–284.CrossrefGoogle Scholar
  • Lin Z, Zhang Y, Tan Y (2019) An empirical study of free product sampling and rating bias. Inform. Systems Res. 30(1):260–275.LinkGoogle Scholar
  • Litvin SW, Goldsmith RE, Pan B (2008) Electronic word-of-mouth in hospitality and tourism management. Tourism Management 29(3):458–468.CrossrefGoogle Scholar
  • Liu Y (2006) Word of mouth for movies: Its dynamics and impact on box office revenue. J. Marketing 70(3):74–89.CrossrefGoogle Scholar
  • Lu T, Yuan M, Wang CA, Zhang XM (2022) Histogram distortion bias in consumer choices. Management Sci. 68(12):8963–8978.LinkGoogle Scholar
  • Ma XS, Khansa L, Deng Y, Kim SS (2014) Impact of prior reviews on the subsequent review process in reputation systems. J. Management Inform. Systems 30(3):279–310.CrossrefGoogle Scholar
  • MacKay KJ, Fesenmaier DR (1997) Pictorial element of destination in image formation. Ann. Tourism Res. 24(3):537–565.CrossrefGoogle Scholar
  • March R, Woodside AG (2005) Testing theory of planned versus realized tourism behavior. Ann. Tourism Res. 32(4):905–924.CrossrefGoogle Scholar
  • Mason CH, Perreault WD Jr (1991) Collinearity, power, and interpretation of multiple regression analysis. J. Marketing Res. 28(3):268–280.CrossrefGoogle Scholar
  • Millar MG, Tesser A (1986) Effects of affective and cognitive focus on the attitude-behavior relation. J. Personality Soc. Psych. 51(2):270–276.CrossrefGoogle Scholar
  • Moe WW, Trusov M (2011) The value of social dynamics in online product ratings forums. J. Marketing Res. 48(3):444–456.CrossrefGoogle Scholar
  • Mudambi SM, Schuff D (2010) What makes a helpful review? A study of customer reviews on Amazon.com. MIS Quart. 34(1):185–200.CrossrefGoogle Scholar
  • Murphy R (2018) Local consumer review survey 2018. Report, BrightLocal, Brighton, UK.Google Scholar
  • Neumann J, Gutt D, Kundisch D (2017) The traveling reviewer problem—Exploring the relationship between offline locations and online rating behavior. Proc. 38th Internat. Conf. Inform. Systems (Association for Information Systems, Atlanta), Paper 8.Google Scholar
  • Oliver RL (1977) Effect of expectation and disconfirmation on post exposure product evaluations: An alternative interpretation. J. Appl. Psych. 62(4):480–486.CrossrefGoogle Scholar
  • Oliver RL (1980) A cognitive model of the antecedents and consequences of satisfaction decisions. J. Marketing Res. 17(4):460–469.CrossrefGoogle Scholar
  • Pervin LA, John OP (1999) Handbook of Personality: Theory and Research (Guilford Press, New York).Google Scholar
  • Pike S (2002) Destination image analysis—A review of 142 papers from 1973 to 2000. Tourism Management 23(5):541–549.CrossrefGoogle Scholar
  • Rimé B (2009) Emotion elicits the social sharing of emotion: Theory and empirical review. Emotion Rev. 1(1):60–85.CrossrefGoogle Scholar
  • Röder M, Both A, Hinneburg A (2015) Exploring the space of topic coherence measures. Proc. 8th ACM Internat. Conf. Web Search Data Mining (Association for Computing Machinery, Shanghai, China), 399–408.Google Scholar
  • Schlosser AE (2005) Posting versus lurking: Communicating in a multiple audience context. J. Consumer Res. 32(2):260–265.CrossrefGoogle Scholar
  • Sirgy MJ, Kruger PS, Lee D-J, Yu GB (2011) How does a travel trip affect tourists’ life satisfaction? J. Travel Res. 50(3):261–275.CrossrefGoogle Scholar
  • Sridhar S, Srinivasan R (2012) Social influence effects in online product ratings. J. Marketing 76(5):70–88.CrossrefGoogle Scholar
  • Sussman AB, Alter AL (2012) The exception is the rule: Underestimating and overspending on exceptional expenses. J. Consumer Res. 39(4):800–814.CrossrefGoogle Scholar
  • Swarbrooke J, Horner S (2007) Consumer Behaviour in Tourism, 2nd ed. (Elsevier, Oxford, UK).CrossrefGoogle Scholar
  • Thaler RH (1999) Mental accounting matters. J. Behav. Decision Making 12(3):183–206.CrossrefGoogle Scholar
  • Vu HQ, Li G, Law R, Zhang Y (2017) Exploring tourist dining preferences based on restaurant reviews. J. Travel Res. 58(1):149–167.CrossrefGoogle Scholar
  • Wang CA, Zhang XM, Hann I-H (2018) Socially nudged: A quasi-experimental study of friends’ social influence in online product ratings. Inform. Systems Res. 29(3):641–655.LinkGoogle Scholar
  • Xu D, Hong H, Ye Q, Xu D (2019) Regional economic status and online rating behavior. J. Electronic Commerce Res. 20(3):184–198.Google Scholar
  • Zhou S, Qiao Z, Du Q, Wang GA, Fan W, Yan X (2018) Measuring customer agility from online reviews using big data text analytics. J. Management Inform. Systems 35(2):510–539.CrossrefGoogle Scholar
  • Zhu F, Zhang XM (2010) Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. J. Marketing 74(2):133–148.CrossrefGoogle Scholar
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