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International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

The Mediating Effect of Perceived Diagnosticity on eWOM Elements and Restaurant Selection Intention

Salmalina Salleh, Noor Hazarina Hashim

http://dx.doi.org/10.6007/IJARBSS/v12-i7/14091

Open access

The overwhelming volume of eWOM information has made it difficult and present challenges for consumers to orientate themselves with the wealth review available. This study drawing on Elaboration Likelihood Model (ELM) to examines the influence of information quality, visual appeals and information facilitation on restaurant selection intention through mediated effects. Non-probability sampling was used to garner 311 responses among the generation Y using questionnaires. The model and its hypotheses were tested using Partial Least Square (PLS). The results demonstrates that perceived diagnosticity significantly mediated the relationship between information facilitation. This research has contributed to the model conceptualization in terms of customers perceived diagnosticity, particularly within the casual dining restaurant context. The findings of this study could assist restaurant operators in understanding their customers’ needs so that these customers will spread a positive eWOM via Instagram.

Anderson, J. C., Gerbing, D. W., & Hunter, J. E. (1987). On the assessment of unidimensional measurement: Internal and external consistency, and overall consistency criteria. Journal of marketing research, 24(4), 432-437.
Bansal, H. S., and Voyer, P. A. (2000). Word-of-mouth processes within a services
purchase decision context. Journal of Service Research 3(2): 166-177.
Bhattacherjee, A., & Sanford, C. (2006). Influence processes for information
technology acceptance: An elaboration likelihood model. MIS quarterly, 805-
825.
Bilgihan, A., Peng, C., & Kandampully, J. (2014). Generation Y's dining information
seeking and sharing behavior on social networking sites: An exploratory study.
International Journal of Contemporary Hospitality Management, 26(3), 349-
366.
Bilgihan, A., Seo, S., and Choi, J. (2018), “Identifying restaurant satisfiers and dissatisfiers: suggestions from online reviews”, Journal of Hospitality Marketing and Management, Vol. 27 No. 5, pp. 601-625.
Blandford, A., & Adams, A. (2005). Digital libraries' support for the user's'
information journey'. In Proceedings of the 5th ACM/IEEE-CS Joint
Conference on Digital Libraries (JCDL'05).160-169. IEEE
Brand, B. M., & Reith, R. (2022). Cultural differences in the perception of credible online reviews–The influence of presentation format. Decision Support Systems, 154, 113710.
BrightLocal. (2017). Local consumer review survey. Retrieved January 15, 2017 from https://www.brightlocal.com/learn/local?consumer? review?survey/
Byun, K. A. K., Ma, M., Kim, K., & Kang, T. (2021). Buying a new product with inconsistent product reviews from multiple sources: The role of information diagnosticity and advertising. Journal of Interactive Marketing, 55, 81-103.
Cantallops, A. S., & Salvi, F. (2014). New consumer behavior: A review of research
on eWOM and hotels. International Journal of Hospitality Management, 36,
41-51
Chang, H. H., Lu, Y. Y., & Lin, S. C. (2020). An elaboration likelihood model of
consumer respond action to facebook second-hand marketplace: Impulsiveness
as a moderator. Information & Management, 57(2), 103171.
Cheung, C. M., and Thadani, D. R. (2012). The impact of electronic word-of-mouth
communication: A literature analysis and integrative model. Decision Support
Systems 54(1): 461-470.
Cheung, C. M., Xiao, B., & Liu, I. L. (2012). The impact of observational learning and
electronic word of mouth on consumer purchase decisions: The moderating
role of consumer expertise and consumer involvement. In 2012 45th Hawaii
International Conference on System Sciences (pp. 3228-3237). IEEE
Chiciudean, G. O., Harun, R., Muresan, I. C., Arion, F. H., Chiciudean, D. I., Ilies, G.
L., & Dumitras, D. E. (2019). Assessing the Importance of Health in Choosing
a Restaurant: An Empirical Study from Romania. International journal of
environmental research and public health, 16(12), 2224
Chiciudean, G. O., Harun, R., Muresan, I. C., Arion, F. H., Chiciudean, D. I., Ilies, G.
L., & Dumitras, D. E. (2019). Assessing the Importance of Health in Choosing
a Restaurant: An Empirical Study from Romania. International journal of
environmental research and public health, 16(12), 2224
Chu, S. C., & Sung, Y. (2015). Using a consumer socialization framework to understand electronic word-ofmouth (eWOM) group membership among brand followers on Twitter. Electronic Commerce Research and Applications, 14(4), 251–260. doi:10.1016/j. elerap.2015.04.002.
Cyr, D., Head, M., Lim, E., & Stibe, A. (2018). Using the elaboration likelihood
model to examine online persuasion through website design. Information &
Management, 55(7), 807-821.
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for
the dependent variable. Information systems research, 3(1), 60-95.
Donthu, N., Kumar, S., Pandey, N., Pandey, N., & Mishra, A. (2021). Mapping the electronic word-of-mouth (eWOM) research: A systematic review and bibliometric analysis. Journal of Business Research, 135, 758-773.
Ellahi, A., & Bokhari, R. H. (2013). Key quality factors affecting users' perception of
social networking websites. Journal of Retailing and Consumer
Services, 20(1), 120-129.
Erkan, I., & Evans, C. (2016). The influence of eWOM in social media on consumers’
purchase intentions: An extended approach to information adoption.
Computers in Human Behavior, 61, 47-55.
Filieri, R. (2015). What makes online reviews helpful? A diagnosticity-adoption
framework to explain informational and normative influences in e-WOM.
Journal of Business Research, 68(6), 1261-1270
Filieri, R., & McLeay, F. (2014). E-WOM and accommodation: An analysis of the
factors that influence travelers’ adoption of information from online reviews.
Journal of Travel Research, 53(1), 44-57.
Filieri, R., & McLeay, F. (2014). E-WOM and accommodation: An analysis of the
factors that influence travelers’ adoption of information from online reviews.
Journal of Travel Research, 53(1), 44-57.
Filieri, R., Acikgoz, F., Ndou, V., & Dwivedi, Y. (2020). Is TripAdvisor still relevant? The influence of review credibility, review usefulness, and ease of use on consumers’ continuance intention. International Journal of Contemporary Hospitality Management.
Filieri, R., Alguezaui, S., & McLeay, F. (2015). Why do travelers trust TripAdvisor?
Antecedents of trust towards consumer-generated media and its influence on
recommendation adoption and word of mouth. Tourism Management, 51, 174-
185.
Filieri, R., Hofacker, C. F., & Alguezaui, S. (2018). What makes information in online
consumer reviews diagnostic over time? The role of review relevancy,
factuality, currency, source credibility and ranking score. Computers in Human
Behavior, 80, 122-131.
Filieri, R., Lin, Z., Pino, G., Alguezaui, S., & Inversini, A. (2021). The role of visual cues in eWOM on consumers’ behavioral intention and decisions. Journal of Business Research, 135, 663-675.
Filieri, R., Mc Leay, F., Tsui, B., & Lin, A. (2018). Consemuer perceptions of information helpfulness and determinants of purchase intention in online consumer reviews of services. Information & Management, 55(8), 956-970.
Filieri, R., Raguseo, E., & Vitari, C. (2019). What moderates the influence of
extremely negative ratings? The role of review and reviewer
characteristics. International Journal of Hospitality Management, 77, 333-341
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with
unobservable and measurement error. Journal of Marketing Research, 34(2),
161-188.
Ghasemaghaei, M., & Hassanein, K. (2016). A macro model of online information
quality perceptions: A review and synthesis of the literature. Computers in
human behavior, 55, 972-991.
Gunden, N. (2017). How online reviews influence consumer restaurant selection. University of South Florida.
Guo, J., Wang, X., & Wu, Y. (2020). Positive emotion bias: Role of emotional content from online customer reviews in purchase decisions. Journal of Retailing and Consumer Services, 52, 101891.
Gurney, L., Eveland, J. J., & Guzman, I. R. (2019). " What you say, I buy!" Information Diagnosticity and the Impact of Electronic Word-of-Mouth (eWOM) Consumer Reviews on Purchase Intention. In Proceedings of the 2019 on Computers and People Research Conference (pp. 183-189).
Hafeez, H. A., Manzoor, A., & Salman, F. (2017). Impact of social networking sites on consumer purchase intention: An analysis of restaurants in Karachi. J. Business Strategy, 11, 1-20.
Hair, J. F., Sarstedt, M., Pieper, T. M., & Ringle, C. M. (2012). The use of partial least squares structural equation modeling in strategic management research: a review of past practices and recommendations for future applications. Long range planning, 45(5-6), 320-340.
Jalilvand, M. R., Salimipour, S., Elyasi, M., & Mohammadi, M. (2017). Factors
influencing word of mouth behavior in the restaurant industry. Marketing
Intelligence & Planning, 35(1), 81-110.
Jalilvand, M. R., Salimipour, S., Elyasi, M., & Mohammadi, M. (2017). Factors
influencing word of mouth behavior in the restaurant industry. Marketing
Intelligence & Planning, 35(1), 81-110.
Jeff, M., Jennifer, R., Catherine, J. A., & Elke, P. (2014). Managing brand presence through social media: The case of UK football clubs. Internet Research, 24(2), 181–204. doi:10.1108/IntR-08-2012-0154
Jiang, Z., & Benbasat, I. (2004). Virtual product experience: Effects of visual and
functional control of products on perceived diagnosticity and flow in electronic
shopping. Journal of Management Information Systems, 21(3), 111-147.
Josiam, B. M., Malave, R., Foster, C., & Baldwin, W. (2017). Assessing quality of
food, service and customer experience at a restaurant: The case of a studentrun restaurant in the USA. In Hospitality Marketing and Consumer
Behavior (pp. 129-156). Apple Academic Press
Kanoria, P. (2020). Influence of Electronic Word-of-Mouth (eWOM) on Consumer Decision in Tourism and Hospitality. Psychology and Education Journal, 57(9), 4250-4259.
Kempf, D. S., & Smith, R. E. (1998). Consumer processing of product trial and the
influence of prior advertising: A structural modeling approach. Journal of
Marketing Research, 35(3), 325-338.
Kim, M., & Lennon, S. (2008). The effects of visual and verbal information on
attitudes and purchase intentions in internet shopping. Psychology &
Marketing, 25(2), 146-178
Koufie, M. G. E., & Kesa, H. (2020). Millennials motivation for sharing restaurant dining experiences on social media. Afr. J. Hosp. Tour. Leis, 9, 1-25.
Lee, J., Park, D. H., & Han, I. (2008). The effect of negative online consumer reviews
on product attitude: An information processing view. Electronic commerce
research and applications, 7(3), 341-352.
Leong, L. Y., Hew, T. S., Ooi, K. B., & Lin, B. (2019). Do electronic word-of-mouth
and elaboration likelihood model influence hotel booking?. Journal of
Computer Information Systems, 59(2), 146-160.
Lien, N. H. (2001). Elaboration likelihood model in consumer research: A
review. Proceedings of the National Science Council, 11(4), 301-310
Lin, T. M., Lu, K. Y., & Wu, J. J. (2012). The effects of visual information in eWOM
communication. Journal of research in interactive marketing, 6(1), 7-26.
Litvin, S. W., Goldsmith, R. E., & Pan, B. (2018). A retrospective view of electronic
word-of-mouth in hospitality and tourism management. International Journal
of Contemporary Hospitality Management, 30(1), 313-325.
Liu, C. T., Du, T. C., & Tsai, H. H. (2009). A study of the service quality of general
portals. Information & Management, 46(1), 52-56.
Mangold, G., W., Miller, F., & Brockway, G. R. (1999). Word-of-mouth
communication in the service marketplace. Journal of services Marketing,
13(1), 73-89.
Miller, K. (2005). Communication theories: Perspectives, processes, and contexts
(2nd ed.). New York: The McGraw-Hill Companies, Inc.
Muda, M., & Hamzah, M. I. (2021). Should I suggest this YouTube clip? The impact of UGC source credibility on eWOM and purchase intention. Journal of Research in Interactive Marketing.
Nigam, A. (2016). Website Quality and Consumer Online Purchase Intention of
Railway Tickets in India. International Journal of Engineering, Management,
Humanities, and Social Sciences Paradigms, 20(1):1-8.
Park, C. W., Sutherland, I., & Lee, S. K. (2021). Effects of online reviews, trust, and picture-superiority on intention to purchase restaurant services. Journal of Hospitality and Tourism Management, 47, 228-236.
Park, D. H., Lee, J., & Han, I. (2007). The effect of on-line consumer reviews on
consumer purchasing intention: The moderating role of
involvement. International journal of electronic commerce, 11(4), 125-148
Park, H. S., Levine, T. R., Kingsley Westerman, C. Y., Orfgen, T., & Foregger, S.
(2007). The effects of argument quality and involvement type on attitude
formation and attitude change: A test of dual-process and social judgment
predictions. Human Communication Research, 33(1), 81-102.
Park, J., Lennon, S. J., & Stoel, L. (2005). On?line product presentation: Effects on
mood, perceived risk, and purchase intention. Psychology & Marketing, 22(9),
695-719.
Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion.
In Communication and persuasion. 1-24. Springer, New York, NY
Qiu, L., Pang, J., & Lim, K. H. (2012). Effects of conflicting aggregated rating on
eWOM review credibility and diagnosticity: The moderating role of review
valence. Decision Support Systems, 54(1), 631-643.
Rainie, L., Brenner, J., & Purchell, K. (2012). Photos and video as social currency
online. Pew Internet and American Life Project. Retrieved from
http://www.pewinternet.org/2012/09/13/photos-and-videos-as-social
currencyonline/
Raju, G. A., and Joseph, D. (2017) ‘An empirical investigation of online review diagnosticity’, International Journal of Business Information Systems, Vol. 25, No. 3, pp.319–335.
Roy, G., Datta, B., & Mukherjee, S. (2019). Role of electronic word-of-mouth content
and valence in influencing online purchase behavior. Journal of Marketing
Communications, 25(6), 661-684.
Sadoski, M., & Paivio, A. (2013). Imagery and text: A dual coding theory of reading
and writing. Routledge
Sam, M., Fazli, M., & Tahir, M. N. H. (2009). Website quality and consumer online
purchase intention of air ticket. International Journal of Basic and Applied
Science, 9(10),20-25.
Shamhuyenhanzva, R. M., Van Tonder, E., Roberts-Lombard, M., & Hemsworth, D.
(2016). Factors influencing Generation Y consumers’ perceptions of eWOM
credibility: a study of the fast-food industry. The International Review of
Retail, Distribution and Consumer Research, 26(4), 435-455.
Shome, S. (2020). Intentions to use travel eWOM: mediating role of Indian urban millennials’ attitude. International Journal of Tourism Cities.
Sotiriadis, M. D., & Van Zyl, C. (2013). Electronic word-of-mouth and online reviews in tourism services: the use of twitter by tourists. Electronic Commerce Research, 13(1), 103-124.
Sussman, S. W., & Siegal, W. S. (2003). Informational influence in organizations: An
integrated approach to knowledge adoption. Information systems
research, 14(1), 47-65.
Verma, S., & Yadav, N. (2021). Past, present, and future of electronic word of mouth (EWOM). Journal of Interactive Marketing, 53, 111-128.
Wang, J. C., & Chang, C. H. (2013). How online social ties and product-related risks
influence purchase intentions: A Facebook experiment. Electronic Commerce
Research and Applications, 12(5), 337-346.
Wang, Y., Kim, J., & Kim, J. (2021). The financial impact of online customer reviews in the restaurant industry: A moderating effect of brand equity. International Journal of Hospitality Management, 95, 102895.
Wu, R., Wu, H. H., & Wang, C. L. (2021). Why is a picture ‘worth a thousand words’? Pictures as information in perceived helpfulness of online reviews. International Journal of Consumer Studies, 45(3), 364-378.
Xu, Q. (2014). Should I trust him? The effects of reviewer profile characteristics on
eWOM credibility. Computers in Human Behavior,33, 136-144.
Yang, F. X. (2017). Effects of restaurant satisfaction and knowledge sharing
motivation on eWOM intentions: the moderating role of technology acceptance
factors. Journal of Hospitality & Tourism Research, 41(1), 93-127
Zamberi, F. A., Adli, N. H. H., Hussin, N., & Ahmad, M. (2018). Information Retrieval
via Social Media. International Journal of Academic Research in Business and
Social Sciences, 8(12).
Zhang, K. Z., Cheung, C. M., & Lee, M. K. (2014). Examining the moderating effect
of inconsistent reviews and its gender differences on consumers’ online
shopping decision. International Journal of Information Management, 34(2),
89-98.
Zhou, T., Lu, Y., & Wang, B. (2016). Examining online consumers’ initial trust
building from an elaboration likelihood model perspective. Information
Systems Frontiers, 18(2), 265-275
Zinko, R., Furner, C. P., de Burgh-Woodman, H., Johnson, P., & Sluhan, A. (2021). The Addition of Images to eWOM in the Travel Industry: An Examination of Hotels, Cruise Ships and Fast Food Reviews. Journal of Theoretical and Applied Electronic Commerce Research, 16(3), 525-541.

In-Text Citation: (Salleh & Hashim, 2022)
To Cite this Article: Salleh, S., and Hashim, N. H. (2022). The Mediating Effect of Perceived Diagnosticity on eWOM Elements and Restaurant Selection Intention. International Journal of Academic Research in Business and Social Sciences. 12(7), 565 – 584.