Browse > Article
http://dx.doi.org/10.13106/jafeb.2020.vol7.no2.213

The Impact of Senders' Identity to the Acceptance of Electronic Word-of-Mouth of Consumers in Vietnam  

DINH, Hung (Department of Graduate, Lac Hong University)
DOAN, Thanh Ha (Banking University of Ho Chi Minh City)
Publication Information
The Journal of Asian Finance, Economics and Business / v.7, no.2, 2020 , pp. 213-219 More about this Journal
Abstract
Studies related to Electronic Word-of-Mouth (eWOM) show that the acceptance of eWOM information is an important factor in customer purchase decisions. When consumers accept eWOM information, they tend to use that information in considering before making purchase decisions. In Viet Nam, there are few studies about eWOM information, especially on the acceptance of eWOM information. Research is conducted to test the influence of consumers on the perception of the senders' identity to the acceptance of online reviews (a kind of eWOM) in Viet Nam - a case study in Ho Chi Minh City. Using adjustment techniques, inspecting the scales and a theoretical model represent the relationship among the influential factors. The research is based on a sample of 522 consumers who use the Internet to search for product reviews before buying and used Structural Equation Modeling (SEM) to test the relationships among the variables. The research results show that the scales of the variables: Message Quality, Source Credibility, Perceived Message Usefulness, Perceived Senders' Identity, Perceived Message Credibility, Message Acceptance attain the validity and reliability in the research. The research contributes to the understanding of the determinants that influence the acceptance of eWOM information, which are informational factors, and factors related to consumer skepticism.
Keywords
Message Quality; Message Usefulness; Message Credibility; Message Acceptance; Consumer Skepticism;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Fan, Y.-W., Miao, Y.-F., Fang, Y.-H., & Lin, R.-Y. (2013). Establishing the Adoption of Electronic Word-of-Mouth through Consumers' Perceived Credibility. International Business Research, 6(3), 58-65. https://doi.org/10.5539/ibr.v6n3p58
2 Hennig-Thurau, T., & Walsh, G. (2003). Electronic word-of-mouth: Motives for and consequences of reading customer articulations on the Internet. International Journal of Electronic Commerce, 8(2), 51-74. https://doi.org/10.1080/10864415.2003.11044293   DOI
3 Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic word-of-mouth via consumeropinion platforms: What motivates consumers to articulate themselves on the Internet? Journal of Interactive Marketing, 18, 38-52. https://doi.org/10.1002/dir.10073   DOI
4 Shen, X. L., Cheung, C. M. K., & Lee, M. K. O. (2013). What leads students to adopt information from Wikipedia? An empirical investigation into the role of trust and information usefulness. British Journal of Educational Technology, 44(3), 502-517. https://doi.org/10.1111/j.1467-8535.2012.01335.x   DOI
5 Sher, P. J., & Lee, S.-H. (2009). Consumer Skepticism and Online Reviews: An Elaboration Likelihood Model Perspective. Social Behavior and Personality, 37(1), 137-144. https://doi.org/10.2224/sbp.2009.37.1.137   DOI
6 Sussman, S. W., & Siegal, W. S. (2003). Informational Influence in Organizations: An Integrated Approach to Knowledge Adoption. Information Systems Research, 14(1), 47-65. https://doi.org/10.1287/isre.14.1.47.14767   DOI
7 Tamar, W. (2016). Are fake online reviews killing consumer confidence? - Marketing Land. Retrieved April 6, 2018, from https://marketingland.com/fake-online-reviewskilling-consumer-confidence-194239
8 Tseng, S. Y., & Wang, C. N. (2016). Perceived risk influence on dual-route information adoption processes on travel websites. Journal of Business Research, 69(6), 2289-2296. https://doi.org/10.1016/j.jbusres.2015.12.044   DOI
9 Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273-315. https://doi.org/10.1111/j.1540-5915.2008.00192.x   DOI
10 Wang, Y. (2018). Online Purchase Intention Based on TAM and IAM: A Literature Review. International Journal of E-Education, e-Business, e-Management and e-Learning, 8(2), 66-73. https://doi.org/10.17706/ijeeee.2018.8.2.66-73   DOI
11 Zhang, X., Ko, M., & Carpenter, D. (2016). Development of a scale to measure skepticism toward electronic word-of-mouth. Computers in Human Behavior, 56, 198-208. https://doi.org/10.1016/j.chb.2015.11.042   DOI
12 Zhao, Y., Yang, S., Narayan, V., & Zhao, Y. (2013). Modeling Consumer Learning from Online Product Reviews. Marketing Science, 32(1), 153-169. https://doi.org/10.1287/mksc.1120.0755   DOI
13 Huete-Alcocer, N. (2017). A Literature Review of Word of Mouth and Electronic Word of Mouth: Implications for Consumer Behavior. Frontiers in Psychology, 8, 1256. https://doi.org/10.3389/fpsyg.2017.01256   DOI
14 Ahmad, W., & Sun, J. (2018). Modeling consumer distrust of online hotel reviews. International Journal of Hospitality Management, 71, 77-90. https://doi.org/10.1016/j.ijhm.2017.12.005   DOI
15 Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T   DOI
16 Hovland. (1948). Social Communication. Social Communication., 92(5), 371-375. http://www.jstor.org/stable/3143048
17 Hussain, S., Ahmed, W., Jafar, R. M. S., Rabnawaz, A., & Jianzhou, Y. (2017). eWOM source credibility, perceived risk, and food product customer's information adoption. Computers in Human Behavior, 66, 96-102. https://doi.org/10.1016/j.chb.2016.09.034   DOI
18 Munzel, A. (2016). Assisting consumers in detecting fake reviews: The role of identity information disclosure and consensus. Journal of Retailing and Consumer Services, 32, 96-108. https://doi.org/10.1016/j.jretconser.2016.06.002   DOI
19 Hussain, S., Guangju, W., Jafar, R. M. S., Ilyas, Z., Mustafa, G., & Jianzhou, Y. (2018). Consumers' online information adoption behavior: Motives and antecedents of electronic word of mouth communications. Computers in Human Behavior, 80, 22-32. https://doi.org/10.1016/j.chb.2017.09.019   DOI
20 Luca, M., & Zervas, G. (2016). Fake it till you make it: Reputation, competition, and yelp review fraud. Management Science, 62(12), 3412-3427. https://doi.org/10.1287/mnsc.2015.2304   DOI
21 Nakayama, M., & Wan, Y. (2017). Exploratory study on anchoring: Fake vote counts in consumer reviews affect judgments of information quality. Journal of Theoretical and Applied Electronic Commerce Research, 12(1). https://doi.org/10.4067/S0718-18762017000100002   DOI
22 Petty, R. E., & Cacioppo, J. T. (1986). The Elaboration Likelihood Model of Persuasion. Communication and Persuasion, 19, 1-24. https://doi.org/10.1007/978-1-4612-4964-1_1
23 Chou, C. H., Wang, Y. S., & Tang, T. I. (2015). Exploring the determinants of knowledge adoption in virtual communities: A social influence perspective. International Journal of Information Management, 35(3), 364-376. https://doi.org/10.1016/j.ijinfomgt.2015.02.001   DOI
24 Cavazza, N., & Guidetti, M. (2014). Fake online reviews: A study on eWOM influence when suspicions arise. Psicologia Sociale, 9(1), 71-81. https://doi.org/10.1482/76369
25 Cheung, C. M. K., Lee, M. K. O., & Rabjohn, N. (2008). The impact of electronic word-of-mouth. Internet Research, 18(3), 229-247. https://doi.org/10.1108/10662240810883290   DOI
26 Cheung, M. Y., Luo, C., Sia, C. L., & Chen, H. (2009). Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-line Consumer Recommendations. International Journal of Electronic Commerce, 13(4), 9-38. https://doi.org/10.2753/JEC1086-4415130402   DOI
27 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(October), 47-55. https://doi.org/10.1016/j.chb.2016.03.003   DOI