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Articles

Do Electronic Word-of-Mouth and Elaboration Likelihood Model Influence Hotel Booking?

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References

  • Applbaum RF, Anatol KW. The factor structure of source credibility as a function of the speaking situation. Speech Monogr. 1972;39(3):216–22.
  • Arndt, J. Role of product-related conversations in the diffusion of a new product. J. Marketing Res. 1967;4(3):291–295.
  • Awad NF, Ragowsky, A. Establishing trust in electronic commerce through online word of mouth: An examination across genders. J. Manage Inf Syst. 2008;24(4):101–121.
  • Babin BJ, Darden WR, Griffin, M. Work and/or fun: measuring hedonic and utilitarian shopping value. J. Consum. Res. 1994;20(4):644–656.
  • Bansal HS, Voyer PA. Word-of-mouth processes within a services purchase decision context. J Serv Res. 2000;3(2):166–177.
  • Bhattacherjee, A. Sanford, C. Influence processes for information technology acceptance: An elaboration likelihood model. MIS Q. 2006;30(4):805–825.
  • Bettman JR. Perceived risk and its components: A model and empirical test. J. Marketing Res. 1973;10(2):184–190.
  • Burbach ME, Matkin GS, Quinn CE Searle TP. The impact of preparing agriculture faculty to influence student critical thinking disposition. J Agric Educ. 2012;53(2):1–14.
  • Buttle FA. Word of mouth: understanding and managing referral marketing. J Strategic Marketing 1998;6(3):241–254.
  • Cakim IM Implementing word of mouth marketing: online strategies to identify influencers, craft stories, and draw customers, John Wiley & Sons, 2009.
  • Cantallops AS, Salvi, F. New consumer behavior: A review of research on eWOM and hotels. Int J Hospitality Manage. 2014;36:41–51.
  • Casaló LV, Flavian C, Guinaliu M, Ekinci, Y. Do online hotel rating schemes influence booking behaviors? Int J Hospitality Manage. 2015;49:28–36.
  • Celsi RL, Olson JC. The role of involvement in attention and comprehension processes. J Consum Res. 1988;15(2):210–224.
  • Chang HH, Wu LH. An examination of negative e-WOM adoption: Brand commitment as a moderator. Decision Support Systems 2013;59:206–218.
  • Cheung CM, Thadani DR. The effectiveness of electronic word-of-mouth communication: A literature analysis. Proceedings of the 23rd Bled eConference eTrust: implications for the individual, enterprises and society: 2010;329–345.
  • Cheung MY, Luo C, Sia CL, Chen H. Credibility of electronic word-of-mouth: Informational and normative determinants of on-line consumer recommendations. Int J Electron Commerce 2009;13(4):9–38.
  • Chong AYL, Liu MJ, Luo, J., Ooi KB. Predicting RFID adoption in healthcare supply chain from the perspectives of users. Int J Prod Econ. 2015;159:66–75.
  • Davies P. 2012. Customers ‘after the truth’ in hotel reviews, finds study; [cited 2015 Jul 16].Available from: http://www.travolution.co.uk/articles/2012/11/15/6195/customers-after-the-truth-in-hotel-reviews-finds-study.html
  • De Bruyn A, Lilien GL. A multi-stage model of word-of-mouth influence through viral marketing. Int J Res Marketing. 2008;25(3):151–163.
  • Doh SJ, Hwang JS. How consumers evaluate eWOM (electronic word-of-mouth) messages. CyberPsychology Behav. 2009;12(2):193–197.
  • Duhan DF, Johnson SD, Wilcox JB, Harrell GD. Influences on consumer use of word-of-mouth recommendation sources. J Acad Marketing Sci. 1997;25(4):283–295.
  • Duverger, P. Curvilinear effects of user-generated content on hotels’ market share: a dynamic panel-data analysis. J Travel Res. 2013;52(4):465–478.
  • Eroglu SA, Machleit KA, Davis LM. Empirical testing of a model of online store atmospherics and shopper responses. Psychol Marketing 2003;20(2):139–150.
  • Esfahani MD, Rahman AA Zakaria NH. Influence Processes for Practicing Green Information Technology: Elaboration Likelihood Model. In PACIS, 2015, 244.
  • Fan YW, Miao YF, Fang YH, Lin RY. Establishing the adoption of electronic word-of-mouth through consumers’ perceived credibility. Int Bus Res. 2013;6(3):58.
  • Flanagin AJ, Metzger MJ. Digital media and youth: Unparalleled opportunity and unprecedented responsibility. Digital Media, Youth, Credibility 2008;5–27.
  • Fotopoulos, C. Krystallis, A. Purchasing motives and profile of the Greek organic consumer: A countrywide survey. Br Food J. 2002;104(9):730–765.
  • Gregory CK, Meade AW, Thompson LF. Understanding internet recruitment via signaling theory and the elaboration likelihood model. Comput Human Behav. 2013;29(5):1949–1959.
  • Henseler J, Ringle CM, Sinkovics RR. The use of partial least squares path modeling in international marketing. Adv Int Marketing 2009;20(1):277–319.
  • Hew TS, Leong LY, Ooi KB, Chong AYL. Predicting drivers of mobile entertainment adoption: A two-stage SEM-artificial-neural-network analysis. J Comput Inf Syst. 2016;56(4):352–370.
  • Hew TS, Kadir SLSA. Predicting instructional effectiveness of cloud-based virtual learning environment. Ind Manage Data Syst. 2016b;116(8):1–29.
  • Hew TS, Kadir SLSA. Predicting the acceptance of cloud-based virtual learning environment: The roles of self determination and channel expansion theory. Telematics Inf. 2016;33(4):990–1013.
  • Hew TS, Kadir SLSA. Behavioural intention in cloud-based VLE: An extension to channel expansion theory. Comput Hum Behav. 2016;64:9–20.
  • Hew TS, Kadir SLSA. Understanding cloud-based VLE from the SDT and CET perspectives: Development and validation of a measurement instrument. Comput Educ. 2016a;101:132–149.
  • Hew TS, Leong LY, Ooi KB, Chong AYL. Predicting drivers of mobile entertainment adoption: A two-stage SEM-artificial-neural-network analysis. J Comput Inf Syst. 2016;56(4):352–370.
  • Ho SY Bodoff, D. The effects of Web personalization on user attitude and behavior: An integration of the elaboration likelihood model and consumer search theory. MIS Q. 2014;38(2):497–520.
  • HSV. 2015. In focus: Malaysia – Finding the silver lining; [cited 2016 Dec 18].Available from: https://www.hotelnewsresource.com/pdf15/HVS1007152.pdf
  • Jalilvand MR, Samiei N, Dini B, Manzari PY. Examining the structural relationships of electronic word of mouth, destination image, tourist attitude toward destination and travel intention: An integrated approach. J Destination Marketing Manage. 2012;1(1):134–143.
  • Jeong E, Jang SS. Restaurant experiences triggering positive electronic word-of-mouth (eWOM) motivations. Int J Hospitality Manage. 2011;30(2):356–366.
  • Ladhari R, Michaud M. eWOM effects on hotel booking intentions, attitudes, trust, and website perceptions. Int J Hospitality Manage. 2015;46:6–45.
  • Leong LY, Hew TS, Lee VH, Ooi KB. An SEM–artificial-neural-network analysis of the relationships between SERVPERF, customer satisfaction and loyalty among low-cost and full-service airline. Expert Syst Appl. 2015;42(19):6620–6634.
  • Leong LY, Hew TS, Ooi KB, Lin, B. The determinants of customer loyalty in Malaysian mobile telecommunication services: A structural analysis. Int J Serv Econ Manage. 2012;4(3):209–236.
  • Leong LY, Ooi KB, Chong AYL, Lin, B. Modeling the stimulators of the behavioral intention to use mobile entertainment: Does gender really matter? Comput Hum Behav. 2013;29:2109–2121.
  • Li CY. Persuasive messages on information system acceptance: A theoretical extension of elaboration likelihood model and social influence theory. Comput Hum Behav. 2013;29(1):264–275.
  • Liao, Z., Cheung MT. Internet-based e-shopping and consumer attitudes: an empirical study. Inf Manage. 2001;38(5):299–306.
  • Litvin SW, Goldsmith RE, Pan, B. Electronic word-of-mouth in hospitality and tourism management. Tourism Manage. 2008;29(3):458–468.
  • Liu Z, Park S. What makes a useful online review? Implication for travel product websites. Tourism Manage. 2015;47:140–151.
  • LonelyTravelog. 2012. Kuala Lumpur Golden Triangle; [cited 2016 Jul 18]. Available from: http://lonelytravelog.com/2012/01/18/kuala-lumpur-golden-triangle/
  • Luo C, Luo XR, Schatzberg L, Sia CL. Impact of informational factors on online recommendation credibility: The moderating role of source credibility. Decision Support Systems 2013;56:92–102.
  • Luo Q, Zhong D. Using social network analysis to explain communication characteristics of travel-related electronic word-of-mouth on social networking sites. Tourism Manage. 2015;46:274–282.
  • Mauri AG, Minazzi, R. Web reviews influence on expectations and purchasing intentions of hotel potential customers. Int J Hospitality Manage. 2013;34:99–107.
  • Meijer MM, Kleinnijenhuis J. Issue news and corporate reputation: Applying the theories of agenda setting and issue ownership in the field of business communication. J Commun 2006;56(3):543–559.
  • Moosmayer DC, Chong AYL, Liu MJ, Schuppar B. A neural network approach to predicting price negotiation outcomes in business-to-business contexts. Expert Syst Appl. 2013;40(8):3028–3035.
  • Mun YY, Yoon JJ, Davis JM, Lee, T. Untangling the antecedents of initial trust in Web-based health information: The roles of argument quality, source expertise, and user perceptions of information quality and risk. Decis Support Syst. 2013;55(1):284–295.
  • MyTourismData. 2016. Hotel guests by states; [cited 2016 Nov 12].Available from: http://mytourismdata.tourism.gov.my/?page_id=362#!range=year&from=2014&to=2015&type=5587833dc8f82,55878dfdebb19&destination=34MYP014
  • Öğüt H, Onur Taş BK. The influence of internet customer reviews on the online sales and prices in hotel industry. Serv Ind J. 2012;32(2):197–214.
  • Pai MY, Chu HC, Wang SC, Chen YM. Electronic word of mouth analysis for service experience. Expert Syst Appl. 2013;40(6):1993–2006.
  • Pant G, Srinivasan P. Predicting web page status. Inf Syst Res. 2010;21(2):345–364.
  • Park C, Lee TM. Information direction, website reputation and eWOM effect: A moderating role of product type. J Bus Res. 2009;62(1):61–67.
  • Park C, Wang Y, Yao Y, Kang YR. Factors influencing eWOM effects: Using experience, credibility, and susceptibility. Int J Social Sci Humanity 2011;1(1):74.
  • Park DH, Lee J, Han, I. The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. Int J Electron Commerce 2007;11(4):125–148.
  • Petty RE, Cacioppo JT. The elaboration likelihood model of persuasion. Adv Exp Social Psychol. 1986;19;123–162.
  • Petty RE, Wegener DT. The elaboration likelihood model: current status and controversies. Dual Process Theor Social Psychol. 1991;41:37-72.
  • Petty RE, Cacioppo JT, Schumann, D. Central and peripheral routes to advertising effectiveness: The moderating role of involvement. J Consum Res. 1983;10(2):135–146.
  • Prendergast G, Ko D, Siu Yin VY. Online word of mouth and consumer purchase intentions. Int J Advertising 2010a;29(5):687–708.
  • Prendergast GP, Tsang AS, Chan CN. The interactive influence of country of origin of brand and product involvement on purchase intention. J Consum Marketing 2010b;27(2):180–188.
  • Priester JR, Nayakankuppam D, Fleming MA, Godek J. The A2SC2 model: The influence of attitudes and attitude strength on consideration and choice. J Consum Res. 2004;30(4):574–587.
  • Qi, S., Law, R., Buhalis, D. Who booked five-star hotels in Macau? A study of hotel guests’ online booking intention. J Hospitality Tourism Manage. 2013;20:76–83.
  • Schuckert M, Liu X, Law R. Hospitality and tourism online reviews: Recent trends and future directions. J Travel Tourism Marketing 2015;32(5):608–621.
  • Singh J, Pandya, S. Exploring the effects of consumers’ dissatisfaction level on complaint behaviours. Eur J Marketing 1991;25(9):7–21.
  • So KKF, King C, Sparks BA, Wang, Y. The role of customer engagement in building consumer loyalty to tourism brands. J Travel Res. 2014;55(1):64–78.
  • Sorensen Alan T, Scott J. Rasmussen. Is any publicity good publicity? A note on the impact of book reviews. NBER Working paper, 2004, Stanford University.
  • Sparks BA, Browning, V. The impact of online reviews on hotel booking intentions and perception of trust. Tourism Manage. 2011;32(6):1310–1323.
  • Spears, N., Singh SN. Measuring attitude toward the brand and purchase intentions. J Current Issues Res Advertising 2004;26(2):53–66.
  • Sussman SW, Siegal WS. Informational influence in organizations: An integrated approach to knowledge adoption. Inf Syst Res. 2003;14(1):47–65.
  • Thum, R. 2014. Google Malaysia’s study reveals 9 in 10 Malaysians use the web to plan travels; [cited 2016 Aug 19]. Available from: http://www.techattack.my/9830/google-malaysias-study-reveals-9–10-malaysians-use-web-plan- travels/
  • Toh RS, DeKay CF, Raven, P. Travel planning: searching for and booking hotels on the internet. Cornell Hospitality Q 2011;52(4):388–398.
  • Tsao WC, Hsieh MT, Shih LW Lin TM. Compliance with eWOM: The influence of hotel reviews on booking intention from the perspective of consumer conformity. Int. J. Hospitality Manage. 2015;46:99–111.
  • Tseng FM, Hsu FY. The Influence of eWOM within the Online Community on Consumers’ Purchasing Intentions-The Case of the EeePC. In Proceedings of the 2010 International Conference on Innovation and Management: July 2010.
  • Vermeulen IE, Seegers, D. Tried and tested: The impact of online hotel reviews on consumer consideration. Tourism Manage. 2009;30(1):123–127.
  • Wang CC, Chang SC. Online word of mouth as a determination in adolescents’ purchase decision making: the influence of expertise and involvement. Commun IBIMA 2008;4(1):1–7.
  • Wen C, Prybutok VR, Xu, C. An integrated model for customer online repurchase intention. J Comput Inf Syst. 2011;52(1):14–23.
  • Wong CH, Tan GWH, Hew TS Ooi KB. Can mobile TV be a new revolution in the television industry? Comput Hum Behav. 2016;55:764–776.
  • Xiaofen J, Yiling Z. The impacts of online word-of-mouth on consumer’s buying intention on apparel: An empirical study. In International Symposium on Web Information Syst Appl. 2009;024–028.
  • Xie HJ, Miao, L., Kuo PJ, Lee BY. Consumers’ responses to ambivalent online hotel reviews: The role of perceived source credibility and pre-decisional disposition. Int. J. Hospitality Manage. 30(1):2011;178–183.
  • Ye Q, Law R, Gu B, Chen W. The influence of user-generated content on traveler behavior: An empirical investigation on the effects of e-word-of-mouth to hotel online bookings. Comput Hum Behav. 2011;27(2):634–639.
  • Ye Q, Law R, Gu B. The impact of online user reviews on hotel room sales. Int J Hospitality Manage. 2009;28(1):180–182.
  • Yin, Y., Pei, E. Ranchhod, A. The shopping experience of older supermarket consumers. J Enterp Inf Manage. 2013;26(4):444–471.
  • Yoon C, Rolland, E. Understanding continuance use in social networking services. J Comput Inf Syst. 2015;55(2):1–8.
  • Zhao X, Wang L, Guo X, Law R. The influence of online reviews to online hotel booking intentions. Int J Contemp Hospitality Manage. 2015;27(6):1343–1364.
  • Zhou T. Understanding users’ initial trust in mobile banking: An elaboration likelihood perspective. Comput Hum Behav. 2012;28(4):1518–1525.

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