Who is behind the message? The power of expert reviews on eWOM platforms
Tài liệu tham khảo
Ajzen, 1985, From intentions to actions: a theory of planned behavior, 11
Ashenfelter, 2013, The demand for expert opinion: Bordeaux wine, J. Wine Econ., 8, 285, 10.1017/jwe.2013.22
Baek, 2012, Helpfulness of online consumer reviews: readers' objectives and review cues, Int. J. Electron. Commerce, 17, 99, 10.2753/JEC1086-4415170204
Bansal, 2000, Word-of-mouth processes within a services purchase decision context, J. Service Res., 3, 166, 10.1177/109467050032005
Bearden, 1989, Measurement of consumer susceptibility to interpersonal influence, J. Consumer Res., 15, 473, 10.1086/209186
Borgida, 1977, The differential impact of abstract vs. concrete information on decisions, J. Appl. Soc. Psychol., 7, 258, 10.1111/j.1559-1816.1977.tb00750.x
Casado-Díaz, 2017, Aggregate consumer ratings and booking intention: the role of brand image, Service Business., 11, 543, 10.1007/s11628-016-0319-0
Chatterjee, 2001, Online reviews: Do consumers use them?, 129
Chen, 2016, The effect of online information sources on purchase intentions between consumers with high and low susceptibility to informational influence, J. Business Res., 69, 467, 10.1016/j.jbusres.2015.05.003
Cheng, 2015, Social influence's impact on reader perceptions of online reviews, J. Business Res., 68, 883, 10.1016/j.jbusres.2014.11.046
Cheung, 2008, The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities, Internet Res., 18, 229, 10.1108/10662240810883290
Cheung, 2009, Credibility of electronic word-of-mouth: Informational and normative determinants of on-line consumer recommendations, Int. J. Electron. Commerce, 13, 9, 10.2753/JEC1086-4415130402
Cheung, 2012, Is this review believable? A study of factors affecting the credibility of online consumer reviews from an ELM perspective, J. Assoc. Inform. Syst., 13, 618
Cheung, 2012, The impact of electronic word-of-mouth communication: a literature analysis and integrative model, Decis. Support Syst., 54, 461, 10.1016/j.dss.2012.06.008
Chevalier, 2006, The effect of word of mouth on sales: online book reviews, J. Mark. Res., 43, 345, 10.1509/jmkr.43.3.345
Chin, 1998, The partial least squares approach to structural equation modeling, Modern Meth. Business Res., 295, 295
Chua, 2016, Helpfulness of user-generated reviews as a function of review sentiment, product type and information quality, Comput. Hum. Behav., 54, 547, 10.1016/j.chb.2015.08.057
Clemons, 2006, When online reviews meet hyperdifferentiation: a study of the craft beer industry, J. Manage. Inform. Syst., 23, 149, 10.2753/MIS0742-1222230207
Cronbach, 1951, Coefficient alpha and the internal structure of tests, Psychometrika, 16, 297, 10.1007/BF02310555
Dai, 2019, The wisdom of the crowd versus the wisdom in the crowd: testing the effects of aggregate user representation, valence, and argument strength on attitude formation in online reviews, Int. J. Commun., 13, 3488
Deutsch, 1955, A study of normative and informational social influences upon individual judgement, J. Abnormal Social Psychol., 51, 629, 10.1037/h0046408
Doh, 2009, How consumers evaluate eWOM (electronic word-of-mouth) messages, CyberPsychol. Behav., 12, 193, 10.1089/cpb.2008.0109
Eisend, 2010, Explaining the joint effect of source credibility and negativity of information in two-sided messages, Psychol. Market., 27, 1032, 10.1002/mar.20372
Filieri, 2015, What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative social influences in e-WOM, J. Business Res., 68, 1261, 10.1016/j.jbusres.2014.11.006
Filieri, 2018, What makes information in online consumer reviews diagnostic over time? The role of review relevancy, factuality, currency, source credibility and ranking score, Comput. Hum. Behav., 80, 122, 10.1016/j.chb.2017.10.039
Fornell, 1981, Evaluating structural equation models with unobservable variables and measurement error, J. Mark. Res., 18, 39, 10.1177/002224378101800104
Gardikiotis, 2005, Group consensus in social influence: Type of consensus information as a moderator of majority and minority influence, Pers. Soc. Psychol. Bull., 31, 1163, 10.1177/0146167205277807
Gupta, 2010, How e-WOM recommendations influence product consideration and quality of choice: a motivation to process information perspective, J. Business Res., 63, 1041, 10.1016/j.jbusres.2009.01.015
Hair, 2017
Hayes, 2018
Hennig-Thurau, 2004, Electronic word of mouth: motives for and consequences of reading customer articulations on the internet, Int. J. Electron. Commerce, 8, 51, 10.1080/10864415.2003.11044293
Henseler, 2015, A new criterion for assessing discriminant validity in variance-based structural equation modeling, J. Acad. Mark. Sci., 43, 115, 10.1007/s11747-014-0403-8
Hilger, 2011, Expert opinion and the demand for experience goods: an experimental approach in the retail wine market, Rev. Econ. Stat., 93, 1289, 10.1162/REST_a_00117
Hovland, 1953
Hung, 2015, Effects of Facebook like and conflicting aggregate rating and customer comment on purchase intentions, 193
Kranzbühler, 2019, When similarity beats expertise—differential effects of patient and expert ratings on physician choice: field and experimental study, J. Medical Internet Res., 21, 10.2196/12454
Kwon, 2007, The mediating role of perceived value: team identification and purchase intention of team-licensed apparel, J. Sport Manage., 21, 540, 10.1123/jsm.21.4.540
Lee, 2010, The roles of self-concept clarity and psychological reactance in compliance with product and service recommendations, Comput. Hum. Behav., 26, 1481, 10.1016/j.chb.2010.05.001
Lee, 2009, Effects of valence and extremity of eWOM on attitude toward the brand and website, J. Current Issues Res. Advert., 2, 1, 10.1080/10641734.2009.10505262
Lo, 2019, What makes hotel online reviews credible? An investigation of the roles of reviewer expertise, review rating consistency and review valence, Int. J. Contemporary Hospitality Manage., 31, 41, 10.1108/IJCHM-10-2017-0671
Luo, 2013, Impact of informational factors on online recommendation credibility: the moderating role of source credibility, Decis. Support Syst., 56, 92, 10.1016/j.dss.2013.05.005
Metzger, 2010, Social and heuristic approaches to credibility evaluation online, J. Commun., 60, 413, 10.1111/j.1460-2466.2010.01488.x
Mudambi, 2010, What makes a helpful review? A study of customer reviews on Amazon.com, MIS Quart., 34, 185, 10.2307/20721420
Ohanian, 1990, Construction and validation of a scale to measure celebrity endorsers’ perceived expertise, trustworthiness, and attractiveness, J. Advert., 19, 39, 10.1080/00913367.1990.10673191
Park, 2008, eWOM overload and its effect on consumer behavioral intention depending on consumer involvement, Electron. Commer. Res. Appl., 7, 386, 10.1016/j.elerap.2007.11.004
Park, 2007, The effect of on-line consumer reviews on consumer purchasing intention: the moderating role of involvement, Int. J. Electron. Commerce, 11, 125, 10.2753/JEC1086-4415110405
Park, 2014, Personal profile information as cues of credibility in online travel reviews, Anatolia, 25, 13, 10.1080/13032917.2013.820203
Qiu, L., Li, D., 2010. Effects of aggregate rating on eWOM acceptance: An attribution theory perspective. PACIS 2010 Proceedings, pp. 1548–1555.
Qiu, 2012, Effects of conflicting aggregated rating on eWOM review credibility and diagnosticity: the moderating role of review valence, Decis. Support Syst., 54, 631, 10.1016/j.dss.2012.08.020
Quaschning, 2015, When consistency matters: the effect of valence consistency on review helpfulness, J. Comput.-Mediat. Commun., 20, 136, 10.1111/jcc4.12106
Racherla, P., Friske, W., 2012. Perceived “usefulness” of online consumer reviews: An exploratory investigation across three services categories. 11(6), 548–559. https://doi.org/10.1016/j.elerap.2012.06.003.
Reimer, 2016, Altruistic eWOM marketing: more than an alternative to monetary incentives, J. Retail. Consumer Services, 31, 323, 10.1016/j.jretconser.2016.04.003
Reimer, 2016, When good WOM hurts and bad WOM gains: the effect of untrustworthy online reviews, J. Business Res., 69, 5993, 10.1016/j.jbusres.2016.05.014
Senecal, 2004, The influence of online product recommendations on consumers’ online choices, J. Retail., 80, 159, 10.1016/j.jretai.2004.04.001
Simmons, 2006, Achieving marketing objectives through social sponsorships, J. Market., 70, 154, 10.1509/jmkg.70.4.154
Sparks, 2011, The impact of online reviews on hotel booking intentions and trust, Tour. Manage., 32, 1310, 10.1016/j.tourman.2010.12.011
Sundar, 2008, The MAIN model: A heuristic approach to understanding technology effects on credibility, 73
Tajfel, H., Turner, J.C., 1986. The social identity theory of intergroup behavior, in: Worchel, S., Austin, W.G. (Eds.), Psychology of Intergroup Relations. Nelson-Hall, Chicago, IL, pp. 7–24. https://doi.org/10.1162/dmal.9780262562324.073.
Tsao, 2015, Compliance with eWOM: the influence of hotel reviews on booking intention from the perspective of consumer conformity, Int. J. Hospital. Manage., 46, 99, 10.1016/j.ijhm.2015.01.008
Vermeulen, 2008, Tried and tested: the impact of online hotel reviews on consumer consideration, Tour. Manage., 30, 123, 10.1016/j.tourman.2008.04.008
von Wangenheim, 2004, The effect of word of mouth on services switching: measurement and moderating variables, Eur. J. Mark., 38, 1173, 10.1108/03090560410548924
Watts, 2008, Capitalizing on content: information adoption in two online communities, J. Assoc. Inform. Syst., 9, 73
Weiss, 2008, Listening to strangers: whose responses are valuable, how valuable are they, and why?, J. Mark. Res., 45, 425, 10.1509/jmkr.45.4.425
Willemsen, 2012, The ironic effect of source identification on the perceived credibility of online product reviewers, J. Comput.-Mediat. Commun., 18, 16, 10.1111/j.1083-6101.2012.01598.x
Xia, 2008, Word of mouse: the role of cognitive personalization in online consumer reviews, J. Interactive Advert., 9, 3, 10.1080/15252019.2008.10722143
Xie, 2011, Consumers’ responses to ambivalent online hotel reviews: the role of perceived source credibility and pre-decisional disposition, Int. J. Hospitality Manage., 30, 178, 10.1016/j.ijhm.2010.04.008
Xu, 2014, Should I trust him? The effects of reviewer profile characteristics on eWOM credibility, Comput. Hum. Behav., 33, 136, 10.1016/j.chb.2014.01.027
Zhang, 2016, The power of expert identity: how website-recognized expert reviews influence travelers' online rating behavior, Tour. Manage., 55, 15, 10.1016/j.tourman.2016.01.004
Zhang, 2014, Examining the influence of online reviews on consumers' decision-making: a heuristic–systematic model, Decis. Support Syst., 67, 78, 10.1016/j.dss.2014.08.005
Zhu, 2010, Impact of online consumer reviews on sales: the moderating role of product and consumer characteristics, J. Market., 74, 133, 10.1509/jm.74.2.133
Ziegele, 2015, Example, please! Comparing the effects of single customer reviews and aggregate review scores on online shoppers’ product evaluation, J. Consumer Behav., 14, 103, 10.1002/cb.1503
Zou, 2011, Does the valence of online consumer reviews matter for consumer decision making? The moderating role of consumer expertise, J. Computers, 6, 484, 10.4304/jcp.6.3.484-488