UTILITARIAN PERCEPTIONABOUT EWOM PLATFORMS AND CUSTOMERS' PURCHASE DECISION
Keywords:
Perceived usefulness, eWOM, utilitarian perception, information quality, eWOM platforms, gender.Abstract
The eWOM platforms in today's world have become an essential source of information for every individual. However, customers perceive the eWOM platform usefulness based on the quality of information available in the platform. The present study attempts to apprehend the utilitarianperception about the eWOM platforms and the subsequent decision making for the hotelproducts and services. We propose a conceptual model and empiricallyverifyit using sample data of 338 respondents who had already experienced eWOM platforms. The study indicates that utilitarian aspectsof the eWOM platform influence the perceived usefulness (PU) of the eWOM platforms. It is also found that the customers' purchase decision (PD) related to the hotel's products and services is affected by the PU of eWOM platforms. Furthermore, the study also shows that acceptance of the eWOM platform and subsequent PD is influenced by gender.
References
Acheampong, P. et al. (2018) ‘Examining the Intervening Role of Age and Gender on mobile payment Acceptance in Ghana : UTAUT Model’, CANADIAN JOURNAL OF APPLIED SCIENCE AND TECHNOLOGY, 6(1), pp. 141–151.
Agarwal, R. and Karahanna, E. (2000) ‘Time Flies When You’re Having Fun: Cognitive Absorption and Beliefs about Information Technology Usage’, MIS Quarterly, 24(4), pp. 665–694.
Albon, A., Kraft, P. and Rennhak, C. (2018) ‘Analyzing the credibility of eword-of- mouth using customer reviews on social media’, Journal of Advances in Humanities and Social Sciences, 4(1), pp. 37–50. doi: 10.20474/jahss-4.1.4.
Alsabawy, A. Y., Cater-Steel, A. and Soar, J. (2016) ‘Determinants of perceived usefulness of e-learning systems’, Computers in Human Behavior. Elsevier Ltd, 64, pp. 843–858. doi: 10.1016/j.chb.2016.07.065.
Assaker, G. (2020) ‘Age and gender differences in online travel reviews and user- generated-content (UGC) adoption: extending the technology acceptance model (TAM) with credibility theory’, Journal of Hospitality Marketing and Management. Routledge, 29(4), pp. 428–449. doi: 10.1080/19368623.2019.1653807.
Bailey, J. E. and Pearson, S. W. (1983) ‘DEVELOPMENT OF A TOOL FOR MEASURING AND ANALYZING COMPUTER USER SATISFACTION’, Management Science, 29(5), pp. 530–545.
Byrd, T. A. et al. (2006) ‘A process-oriented perspective of IS success: Examining the impact of IS on operational cost’, Omega, 34(5), pp. 448–460. doi: 10.1016/j.omega.2005.01.012.
Chandon, P., Wansink, B. and Laurent, G. (2000) ‘A Benefit Congruency Framework of Sales Promotion Effectiveness’, Journal of Marketing, 64, pp. 65–81.
Chen, P., Dhanasobhon, S. and Smith, M. D. (2008) ‘All Reviews are Not Created Equal: The Disaggregate Impact of Reviews and Reviewers at Amazon.com’, Com, (May).
Cheng, Y. H. and Ho, H. Y. (2015) ‘Social influence’s impact on reader perceptions of online reviews’, Journal of Business Research. Elsevier Inc., 68(4), pp. 883–887.
doi: 10.1016/j.jbusres.2014.11.046.
Cheung, C. M. K., Lee, M. K. O. and Rabjohn, N. (2008) ‘The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities’, Internet Research, 18(3), pp. 229–247. doi: 10.1108/10662240810883290.
Cheung, C. M. Y., Sia, C. L. and Kuan, K. K. Y. (2012) ‘Is this review believable? A study of factors affecting the credibility of online consumer reviews from an ELM perspective’, Journal of the Association for Information Systems, 13(8), pp. 618–635. doi: 10.17705/1jais.00305.
Cheung, M. et al. (2009) ‘Credibility of electronic word-of-mouth: Informational and normative determinants of on-line consumer recommendations’, International Journal of Electronic Commerce, 13(4), pp. 9–38. doi: 10.2753/JEC1086-4415130402.
Cheung, R. (2014) ‘The Influence of Electronic Word-of-Mouth on Information Adoption in Online Customer Communities’, Global Economic Review, 43(1), pp. 42–57. doi: 10.1080/1226508X.2014.884048.
Copeland, D. G. and Mckenney, J. L. (1988) ‘Airline Reservations Systems: Lessons from History’, JSTOR, 12(3), pp. 353–370.
Dunk, A. S. (2004) ‘Product life cycle cost analysis : the impact of customer profiling
, competitive advantage , and quality of IS information’, Management Accounting Research, 15, pp. 401–414. doi: 10.1016/j.mar.2004.04.001.
Elwalda, A., Lü, K. and Ali, M. (2016) ‘Perceived derived attributes of online customer reviews’, Computers in Human Behavior, 56(0), pp. 306–319. doi: 10.1016/j.chb.2015.11.051.
Erkan, I. (2016) ‘The Influence of Electronic Word of Mouth in Social Media on Consumers ’ Purchase Intentions’, Computers in Human Behavior, (61), pp. 47–55.
Filieri, R. (2016) ‘What makes an online consumer review trustworthy?’, Annals of Tourism Research. Elsevier Ltd, 58, pp. 46–64. doi: 10.1016/j.annals.2015.12.019.
Filieri, R. and McLeay, F. (2013) ‘E-WOM and Accommodation: An Analysis of the Factors That Influence Travelers’ Adoption of Information from Online Reviews’, Journal of Travel Research, 53(1), pp. 44–57. doi: 10.1177/0047287513481274.
González-Rodríguez, M. ., Martínez-Torres, R. and Toral, S. (2016) ‘Post-visit and pre-visit tourist destination image through eWOM sentiment analysis and perceived helpfulness’, International Journal of Contemporary Hospitality Management, 28(11), pp. 2609–2627. doi: 10.1108/IJCHM-02-2015-0057.
Hajiheydari, N. and Ashkani, M. (2018) ‘Mobile application user behavior in the developing countries : a survey in Iran. Information Systems’, Information Systems, (77), pp. 22–33.
Hu, N., Liu, L. and Zhang, J. J. (2008) ‘Do online reviews affect product sales? The role of reviewer characteristics and temporal effects’, Information Technology and Management, 9(3), pp. 201–214. doi: 10.1007/s10799-008-0041-2.
Hu, Y. and Kim, H. J. (2018) ‘Positive and negative eWOM motivations and hotel customers’ eWOM behavior: Does personality matter?’, International Journal of Hospitality Management. Elsevier, 75(December 2017), pp. 27–37. doi: 10.1016/j.ijhm.2018.03.004.
Jamil, R. A. and Hasnu, S. (2014) ‘Consumer ’ s Reliance on Word of Mouse :
Influence on Consumer ’ s Decision in an Online Information Asymmetry Context’,
Journal of Business & Economics, 5(2), pp. 171–205.
Kim, J. (Sunny) (2016) ‘An extended technology acceptance model in behavioral intention toward hotel tablet apps with moderating effects of gender and age’, International Journal of Contemporary Hospitality Management. Available at: http://dx.doi.org/10.1108/IJCHM-06-2015-0289.
Kowatsch, T. and Maass, W. (2010) ‘In-store consumer behavior: How mobile recommendation agents influence usage intentions, product purchases, and store preferences’, Computers in Human Behavior. Elsevier Ltd, 26(4), pp. 697–704. doi: 10.1016/j.chb.2010.01.006.
Lee, J. and Lee, J. N. (2009) ‘Understanding the product information inference process in electronic word-of-mouth: An objectivity-subjectivity dichotomy perspective’, Information and Management, 46(5), pp. 302–311. doi: 10.1016/j.im.2009.05.004.
Lin, J. C. C. and Lu, H. (2000) ‘Towards an understanding of the behavioural intention to use a web site’, International Journal of Information Management, 20(3), pp. 197–208. doi: 10.1016/S0268-4012(00)00005-0.
Litvin, S. W., Goldsmith, R. E. and Pan, B. (2008) ‘Electronic word-of-mouth in hospitality and tourism management’, Tourism Management, 29(3), pp. 458–468. doi: 10.1016/j.tourman.2007.05.011.
Liu, Z. and Park, S. (2015) ‘What makes a useful online review? Implication for travel product websites’, Tourism Management. Elsevier Ltd, 47, pp. 140–151. doi: 10.1016/j.tourman.2014.09.020.
Luo, C. et al. (2013) ‘Impact of informational factors on online recommendation credibility : The moderating role of source credibility’, Decision Support Systems. Elsevier B.V., 56, pp. 92–102. doi: 10.1016/j.dss.2013.05.005.
Madu, C. N. and Madu, A. A. (2002) ‘Dimensions of e-quality’, International Journal of Quality and Reliability Management, 19(3), pp. 246–258. doi: 10.1108/02656710210415668.
Munar, A. M. and Jacobsen, J. K. S. (2014) ‘Motivations for sharing tourism experiences through social media’, Tourism Management. Elsevier Ltd, 43, pp. 46– 54. doi: 10.1016/j.tourman.2014.01.012.
Nelson, R. R., Todd, P. A. and Wixom, B. H. (2005) ‘Antecedents of information and system quality: An empirical examination within the context of data warehousing’, Journal of Management Information Systems, 21(4), pp. 199–235. doi: 10.1080/07421222.2005.11045823.
Pentina, I., Bailey, A. A. and Zhang, L. (2018) ‘Exploring effects of source similarity, message valence, and receiver regulatory focus on yelp review persuasiveness and purchase intentions’, Journal of Marketing Communications, 24(2), pp. 125–145. doi: 10.1080/13527266.2015.1005115.
Qu, Y. et al. (2018) ‘Influencing factors analysis for a social network web based payment service in China’, Journal of Theoretical and Applied Electronic Commerce Research, 13(3), pp. 99–113. doi: 10.4067/S0718-18762018000300106.
Rayman-Bacchus, L. and Molina, A. (2001) ‘Internet-based tourism services:
Business issues and trends’, Futures, 33(7), pp. 589–605. doi: 10.1016/S0016- 3287(01)00003-9.
Seddon, P. (1997) ‘A respecification and extension of the DeLone and McLean model of IS. Information Systems Research’, Information Systems Research, 8(3), pp. 240–
Available at: https://pubsonline.informs.org/doi/abs/10.1287/isre.8.3.240.
Sussman, S. W. and Siegal, W. S. (2003) ‘Informational influence in organizations: An integrated approach to knowledge adoption’, Information Systems Research, 14(1), pp. 47–65. doi: 10.1287/isre.14.1.47.14767.
Tan, G. W. H. and Ooi, K. B. (2018) ‘Gender and age: Do they really moderate mobile tourism shopping behavior?’, Telematics and Informatics. Elsevier Ltd, 35(6), pp. 1617–1642. doi: 10.1016/j.tele.2018.04.009.
Tarhini, A., Hone, K. and Liu, X. (2014) ‘The effects of individual differences on e- learning users’ behaviour in developing countries: A structural equation model’, Computers in Human Behavior. Elsevier Ltd, 41, pp. 153–163. doi: 10.1016/j.chb.2014.09.020.
Thomas, M. J., Wirtz, B. W. and Weyerer, J. C. (2019) ‘Determinants of online review credibility and its impact on consumers’ purchase intention’, Journal of Electronic Commerce Research, 20(1), pp. 1–20.
Wang, P. and Li, H. (2019) ‘Understanding the antecedents and consequences of the perceived usefulness of travel review websites’, INTERNATIONAL JOURNAL OF CONTEMPORARY HOSPITALITY MANAGEMENT. HOWARD HOUSE, WAGON LANE, BINGLEY BD16 1WA, W YORKSHIRE, ENGLAND: EMERALD GROUP PUBLISHING LTD, 31(3), pp. 1086–1103. doi: 10.1108/IJCHM-06-2017-0380.
Wang, R. Y. and Strong, D. M. S. (1996) ‘Beyond Accuracy: What Data Quality Means to Data Consumers’, JSTOR, 12(4), pp. 5–33.
Wixom, B. H. and Todd, P. A. (2005) ‘A theoretical integration of user satisfaction and technology acceptance’, Information Systems Research, 16(1), pp. 85–102. doi: 10.1287/isre.1050.0042.
Yoo, K. H. and Gretzel, U. (2009) ‘What Motivates Consumers to Write Online Travel Reviews?’, Information Technology & Tourism, 10(4), pp. 283–295. doi: 10.3727/109830508788403114.
Zhao, X. (Roy) et al. (2015) ‘The influence of online reviews to online hotel booking intentions’, International Journal of Contemporary Hospitality Management, 27(6), pp. 1343–1364. doi: 10.1108/IJCHM-12-2013-0542.
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