Managerial Response to Online Positive Reviews: Helpful or Harmful?

References

• Battini L (2022) Sennacherib’s sieges and deportations reliefs: How to increase emotions. AVAR 1(2):313–358.Crossref, Google Scholar
• Beatty A (2014) Anthropology and emotion. J. Roy. Anthropological Inst. 20(3):545–563.Crossref, Google Scholar
• Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J. Machine Learn. Res. 3(Jan):993–1022.Google Scholar
• Braatz LA (2017) #Influencer marketing on Instagram: Consumer responses towards promotional posts: The effects of message sidedness and product depiction. Master’s thesis, University of Twente, Enschede, Netherlands.Google Scholar
• Brun E, Sætre AS (2009) Managing ambiguity in new product development projects. Creativity Innovation Management 18(1):24–34.Crossref, Google Scholar
• Chen M-Y (2016) Can two-sided messages increase the helpfulness of online reviews? Online Inform. Rev. 40(3):316–332.Crossref, Google Scholar
• Chen W, Gu B, Ye Q, Zhu KX (2019) Measuring and managing the externality of managerial responses to online customer reviews. Inform. Systems Res. 30(1):81–96.Link, Google Scholar
• Cheung CMY, Sia CL, Kuan KK (2012) Is this review believable? A study of factors affecting the credibility of online consumer reviews from an ELM perspective. J. Assoc. Inform. Systems 13(8):618–635.Google Scholar
• Chevalier JA, Dover Y, Mayzlin D (2018) Channels of impact: User reviews when quality is dynamic and managers respond. Marketing Sci. 37(5):688–709.Link, Google Scholar
• Crowley AE, Hoyer WD (1994) An integrative framework for understanding two-sided persuasion. J. Consumer Res. 20(4):561–574.Crossref, Google Scholar
• Duhan DF, Johnson SD, Wilcox JB, Harrell GD (1997) Influences on consumer use of word-of-mouth recommendation sources. J. Acad. Marketing Sci. 25(4):283–295.Crossref, Google Scholar
• Fan W, Liu Y, Li H, Tuunainen VK, Lin Y (2021) Quantifying the effects of online review content structures on hotel review helpfulness. Internet Res. 32(7):202–227.Crossref, Google Scholar
• Feldman GC, Joormann J, Johnson SL (2008) Responses to positive affect: A self-report measure of rumination and dampening. Cognitive Therapy Res. 32(4):507–525.Crossref, Google Scholar
• Ghose A, Ipeirotis PG, Li B (2012) Designing ranking systems for hotels on travel search engines by mining user-generated and crowdsourced content. Marketing Sci. 31(3):493–520.Link, Google Scholar
• Grewal L, Stephen AT (2017) In mobile we trust: How mobile reviews influence consumers’ purchase intentions. Gneezy A, Griskevicius V, Williams P, eds. NA–Advances in Consumer Research, vol. 45 (Association for Consumer Research, Duluth, MN), 140–145.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.Crossref, Google Scholar
• Havakhor T, Sabherwal R, Steelman ZR, Sabherwal S (2019) Relationships between information technology and other investments: A contingent interaction model. Inform. Systems Res. 30(1):291–305.Link, Google Scholar
• Heckman J (1979) Sample selection bias as a specification error. Econometrica 47(1):153–161.Crossref, Google Scholar
• Ho YC, Wu J, Tan Y (2017) Disconfirmation effect on online rating behavior: A structural model. Inform. Systems Res. 28(3):626–642.Link, Google Scholar
• Huang LS, Chou YJ, Lan IT (2007) Effects of perceived risk, message types, and reading motives on the acceptance and transmission of electronic word-of-mouth communication. Contemporary Management Res. 3(4):299–312.Crossref, Google Scholar
• Jensen ML, Averbeck JM, Zhang Z, Wright KB (2013) Credibility of anonymous online product reviews: A language expectancy perspective. J. Management Inform. Systems 30(1):293–324.Crossref, Google Scholar
• Jones Q, Ravid G, Rafaeli S (2004) Information overload and the message dynamics of online interaction spaces: A theoretical model and empirical exploration. Inform. Systems Res. 15(2):194–210.Link, Google Scholar
• Khare A (2011) Customers’ perception and attitude toward service quality in multinational banks in India. Internat. J. Hospitality Management 10(2):199–215.Google Scholar
• Kumar N, Qiu L, Kumar S (2018) Exit, voice, and response on digital platforms: An empirical investigation of online management response strategies. Inform. Systems Res. 29(4):849–870.Link, Google Scholar
• Lee D, Hosanagar K, Nair H (2018) Advertising content and consumer engagement on social media: Evidence from Facebook. Management Sci. 64(11):5105–5131.Link, Google Scholar
• Lei Z, Yin D, Zhang H (2021) Focus within or on others: The impact of reviewers’ attentional focus on review helpfulness. Inform. Systems Res. 32(3):801–819.Link, Google Scholar
• Li J, Zhan L (2011) Online persuasion: How the written word drives WOM: Evidence from consumer-generated product reviews. J. Advertising Res. 51(1):239–257.Crossref, Google Scholar
• Li MQ, Lee YC, Wu LL (2020) Sidedness effect of online review. Twenty-Third Pacific Asia Conf. Inform. Systems (AIS, Atlanta), 1–14.Google Scholar
• Liu W, Ji R (2019) Do hotel responses matter?: A comprehensive perspective on investigating online reviews. Inform. Resources Management J. 32(3):70–89.Crossref, Google Scholar
• Lopes AI, Dens N, De Pelsmacker P, De Keyzer F (2020) Which cues influence the perceived usefulness and credibility of an online review? A conjoint analysis. Online Inform. Rev. 45(1):1–20.Crossref, Google Scholar
• Lui TW, Bartosiak M, Piccoli G, Sadhya V (2018) Online review response strategy and its effects on competitive performance. Tourism Management 67:180–190.Crossref, Google Scholar
• Ma X, Khansa L, Deng Y, Kim SS (2013) Impact of prior reviews on the subsequent review process in reputation systems. J. Management Inform. Systems 30(3):279–310.Crossref, Google Scholar
• Maier D, Niekler A, Wiedemann G, Stoltenberg D (2020) How document sampling and vocabulary pruning affect the results of topic models. Comput. Comm. Rev. 2(2):139–152.Crossref, Google Scholar
• Min H, Lim Y, Magnini VP (2015) Factors affecting customer satisfaction in responses to negative online hotel reviews: The impact of empathy, paraphrasing, and speed. Cornell Hospitality Quart. 56(2):223–231.Crossref, Google Scholar
• Minaee S, Kalchbrenner N, Cambria E, Nikzad N, Chenaghlu M, Gao J (2021) Deep learning–based text classification: A comprehensive review. ACM Comput. Surveys 54(3):1–40.Crossref, Google Scholar
• Nikolova H, Bleier A, Hamilton RW (2017) How the interplay of consumption mode and time delay influences the persuasiveness of online reviews. Gneezy A, Griskevicius V, Williams P, eds. NA–Advances in Consumer Research, vol. 45 (Association for Consumer Research, Duluth, MN), 140–145.Google Scholar
• Park J, Yi Y, Kang D (2019) The effects of one-sided vs. two-sided review valence on electronic word of mouth (e-WOM): The moderating role of sponsorship presence. Asia Marketing J. 21(2):1–19.Crossref, Google Scholar
• Proserpio D, Zervas G (2017) Online reputation management: Estimating the impact of management responses on consumer reviews. Marketing Sci. 36(5):645–665.Link, Google Scholar
• Ravichandran T, Deng C (2023) Effects of managerial response to negative reviews on future review valence and complaints. Inform. Systems Res. 34(1):319–341.Link, Google Scholar
• Regina R, Rini ES, Sembiring BKF (2021) The effect of online customer review and promotion through e-trust on the purchase decision of Bukalapakin Medan City. Internat. J. Res. Rev. 8(8):236–243.Crossref, Google Scholar
• Rose M, Blodgett JG (2016) Should hotels respond to negative online reviews? Cornell Hospitality Quart. 57(4):396–410.Crossref, Google Scholar
• Runeson P, Alexandersson M, Nyholm O (2007) Detection of duplicate defect reports using natural language processing. 29th Internat. Conf. Software Engrg. (ICSE’07) (IEEE, Piscataway, NJ), 499–510.Google Scholar
• Schlosser AE (2011) Can including pros and cons increase the helpfulness and persuasiveness of online reviews? The interactive effects of ratings and arguments. J. Consumer Psych. 21(3):226–239.Crossref, Google Scholar
• Schlosser A, Borah A (2017) Telling both sides of the story: The role of risk in the perceived helpfulness of online reviews. Gneezy A, Griskevicius V, Williams P, eds. NA–Advances in Consumer Research, vol. 45 (Association for Consumer Research, Duluth, MN), 140–145.Google Scholar
• Sharpe S, Huang D, Ravichandran T (2014) Toward an understanding of consumer feedback in the online environment: Does managerial participation help? Obal M, Krey N, Bushardt C, eds. Let’s Get Engaged! Crossing the Threshold of Marketing’s Engagement Era. Developments in Marketing Science: Proc. Acad. Marketing Sci. (Springer, Cham, Switzerland), 393–398.Google Scholar
• Sheng J, Amankwah‐Amoah J, Wang X, Khan Z (2019) Managerial responses to online reviews: A text analytics approach. British J. Management 30(2):315–327.Crossref, Google Scholar
• Sparks BA, Bradley GL (2017) A “triple A” typology of responding to negative consumer-generated online reviews. J. Hospitality Tourism Res. 41(6):719–745.Crossref, Google Scholar
• Sparks BA, Browning V (2011) The impact of online reviews on hotel booking intentions and perception of trust. Tourism Management 32(6):1310–1323.Crossref, Google Scholar
• Steelman ZR, Havakhor T, Sabherwal R, Sabherwal S (2019) Performance consequences of information technology investments: Implications of emphasizing new or current information technologies. Inform. Systems Res. 30(1):204–218.Link, Google Scholar
• Tan TF, Netessine S, Hitt L (2017) Is Tom Cruise threatened? An empirical study of the impact of product variety on demand concentration. Inform. Systems Res. 28(3):643–660.Link, Google Scholar
• Wang Y, Chaudhry A (2018) When and how managers’ responses to online reviews affect subsequent reviews. J. Marketing Res. 55(2):163–177.Crossref, Google Scholar
• Wang H, Batra R, Chen Z (2016) The moderating role of dialecticism in consumer responses to product information. J. Consumer Psych. 26(3):381–394.Crossref, Google Scholar
• Xu X, Zhao Y (2022) Examining the influence of linguistic characteristics of online managerial response on return customers’ change in satisfaction with hotels. Internat. J. Hospitality Management 102:103146.Crossref, Google Scholar
• Yang M, Zheng Z, Mookerjee V (2019) Prescribing response strategies to manage customer opinions: A stochastic differential equation approach. Inform. Systems Res. 30(2):351–374.Link, Google Scholar
• Yin D, de Vreede T, Steele L, de Vreede GJ (2023) Decide now or later: Making sense of incoherence across online reviews. Inform. Systems Res. 34(3):1211–1227.Link, Google Scholar
• Zhang X, Qiao S, Yang Y, Zhang Z (2020) Exploring the impact of personalized management responses on tourists’ satisfaction: A topic matching perspective. Tourism Management 76:1–16.Crossref, Google Scholar