Aichner, T., & Jacob, F. (2015). Measuring the degree of corporate social media use. International Journal of Market Research, 57(2), 257–275. https://doi.org/10.2501/IJMR-2015-018
Bhandari, M., & Rodgers, S. (2018). What does the brand say? Effects of brand feedback to negative eWOM on brand trust and purchase intentions. International Journal of Advertising, 37(1), 125–141. https://doi.org/10.1080/02650487.2017.1349030
Cheung, C. M. K., Lee, M. K. O., & Rabjohn, N. (2008). The impact of electronic word-of-mouth: The adoption of online opinions in online customer communities. Internet Research, 18(3), 229–247. https://doi.org/10.1108/10662240810883290
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
Cheung, R. (2014). The influence of electronic word-of-mouth on information adoption in online customer communities. Global Economic Review, 43(March), 42–57. https://doi.org/10.1080/1226508X.2014.884048
Dancer, H., Filieri, R., & Grundy, D. (2014). eWOM in online customer support communities: Key variables in information quality and source credibility. Journal of Direct, Data and Digital Marketing Practice, 15(4), 290–305. https://doi.org/10.1057/dddmp.2014.21
Erkan, I., & Evans, C. (2016). Social media or shopping websites? The influence of eWOM on consumers??? online purchase intentions. Journal of Marketing Communications, 1–17. https://doi.org/10.1080/13527266.2016.1184706
Expedia. (2019). Global Flight & Hotel Etiquette Study Methodology. https://www.malaysiainternet.my/wp-content/uploads/2018/05/Expedia_Global-Flight-Hotel-Etiquette-Study_Malaysia.pdf
Farzin, M., & Fattahi, M. (2018). eWOM through social networking sites and impact on purchase intention and brand image in Iran. Journal of Advances in Management Research, JAMR-05-2017-0062. https://doi.org/10.1108/JAMR-05-2017-0062
Faul, F., ErdFelder, E., Lang, A.-G., & Buchner, A. (2007). A Flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavioral Research Methods, 39(2), 175–191. https://doi.org/10.3758/BF03193146
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. https://doi.org/10.1177/0047287513481274
Goldsmith, R. E., & Horowitz, D. (2006). Measuring motivations for online opinion seeking. Journal of Interactive Advertising, 6(2), 3–14. https://doi.org/10.1080/15252019.2006.10722114
Goyette, I., Ricard, L., & Bergeron, J. (2010). e-WOM Scale?: Word-of-Mouth Measurement Scale for e-Services Context *. Canadian Journal of Administrative Sciences, 27, 5–23.
Gupta, P., & Harris, J. (2010). How e-WOM recommendations influence product consideration and quality of choice: A motivation to process information perspective. Journal of Business Research, 63(9–10), 1041–1049. https://doi.org/10.1016/j.jbusres.2009.01.015
Hajli, N. (2016). Ethical Environment in the Online Communities by Information Credibility: A Social Media Perspective. Journal of Business Ethics, 149(February), 1–12. https://doi.org/10.1007/s10551-016-3036-7
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electric word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the internet. Journal of Interactive Marketing, 18(1), 38–52. https://doi.org/10.1002/dir.10073
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
Isa, N. F., Salleh, N. A. M., & Aziz, A. A. (2019). Social media addiction: Role of web and digital experience on buying decision intention and the moderating effect of consumer review. Malaysian Journal of Consumer and Family Economics, 23, 123–148.
Jalilvand, M. R., & Samiei, N. (2012). The effect of electronic word of mouth on brand image and purchase intention: An empirical study in the automobile industry in Iran. Marketing Intelligence & Planning, 30(4), 460–476. https://doi.org/10.1108/02634501211231946
Kim, S. E., Lee, K. Y., Shin, S. Il, & Yang, S. B. (2017). Effects of tourism information quality in social media on destination image formation: The case of Sina Weibo. Information and Management, 54(6), 687–702. https://doi.org/10.1016/j.im.2017.02.009
Kim, S., Kandampully, J., & Bilgihan, A. (2018). The influence of eWOM communications: An application of online social network framework. Computers in Human Behavior, 80, 243–254. https://doi.org/10.1016/j.chb.2017.11.015
Krishnamurthy, A., & Kumar, S. R. (2018). Electronic word-of-mouth and the brand image: Exploring the moderating role of involvement through a consumer expectations lens. Journal of Retailing and Consumer Services, 43(March), 149–156. https://doi.org/https://doi.org/10.1016/j.jretconser.2018.03.010
Kudeshia, C., & Kumar, A. (2017). Social eWOM: does it affect the brand attitude and purchase intention of brands? Management Research Review, 40(3), 310–330. https://doi.org/10.1108/MRR-07-2015-0161
Lee, J. K., Lee, S. Y., & Hansen, S. S. (2017). Source Credibility in Consumer-Generated Advertising in Youtube: The Moderating Role of Personality. Current Psychology, 36(4), 849–860. https://doi.org/10.1007/s12144-016-9474-7
Lee, M., & Youn, S. (2009). Electronic word of mouth (eWOM): How eWOM platforms influence consumer product judgement. International Journal of Advertising, 28(3), 473–499. https://doi.org/10.2501/S0265048709200709
Liu, R. R., & Zhang, W. (2010). Informational influence of online customer feedback: An empirical study. Journal of Database Marketing & Customer Strategy Management, 17(2), 120–131. https://doi.org/10.1057/dbm.2010.11
Luo, C., Luo, X. R., & Bose, R. (2018). Information usefulness in online third party forums. Computers in Human Behavior, 85, 61–73. https://doi.org/10.1016/j.chb.2018.02.041
Malaysian Communication and Multimedia Commission. (2018). Internet Users Survey 2018: Statistical Brief Number Twenty-Three. Internet Users Survey 2018, 1–39. https://www.mcmc.gov.my/skmmgovmy/media/General/pdf/Internet-Users-Survey-2018.pdf
Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. Cambridge, Mass.: MIT Press. http://psycnet.apa.org/record/1974-22049-000
Muda, M., & Khan, N. R. M. (2020). Electronic word-of-mouth (Ewom) and user-generated content (UGC) on beauty products on youtube: Factors affecting consumer attitudes and purchase intention. Malaysian Journal of Consumer and Family Economics, 24(S1), 1–22.
Park, D.-H. H., & Kim, S. (2008). The effects of consumer knowledge on message processing of electronic word-of-mouth via online consumer reviews. Electronic Commerce Research and Applications, 7(4), 399–410. https://doi.org/10.1016/j.elerap.2007.12.001
Park, D.-H. H., & Lee, J. (2008). eWOM overload and its effect on consumer behavioral intention depending on consumer involvement. Electronic Commerce Research and Applications, 7(4), 386–398. https://doi.org/10.1016/j.elerap.2007.11.004
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. https://doi.org/10.2753/JEC1086-4415110405
Rahman, M. S., & Mannan, M. (2018). Consumer online purchase behavior of local fashion clothing brands. Journal of Fashion Marketing and Management: An International Journal, 22(3), 404–419. https://doi.org/10.1108/jfmm-11-2017-0118
See, S. F., & Goh, Y. N. (2020). Factors Affecting Restaurant Customer Intention To Adopt Mobile Payment. Malaysian Journal of Consumer and Family Economics, 25, 62–91.
Shankar, A., & Jebarajakirthy, C. (2020). Journal of Retailing and Consumer Services How do electronic word of mouth practices contribute to mobile banking adoption?? Journal of Retailing and Consumer Services, 52(June 2019). https://doi.org/10.1016/j.jretconser.2019.101920
The Star Online. (2018). Malaysia Airlines now allows bookings via its Facebook. https://www.thestar.com.my/business/business-news/2018/04/03/malaysia-airlines-to-allow-travellers-to-book-on-facebook/
Tien, D. H., Rivas, A. A., & Liao, Y. K. (2018). Examining the influence of customer-to-customer electronic word-of-mouth on purchase intention in social networking sites. Asia Pacific Management Review. https://doi.org/10.1016/j.apmrv.2018.06.003
Wang, J. J., Wang, L.-Y., & Wang, M.-M. (2018). Understanding the effects of eWOM social ties on purchase intentions: A moderated mediation investigation. Electronic Commerce Research and Applications, 28(January), 54–62. https://doi.org/10.1016/j.elerap.2018.01.011
Wu, T. Y., & Lin, C. A. (2017). Predicting the effects of eWOM and online brand messaging: Source trust, bandwagon effect and innovation adoption factors. Telematics and Informatics, 34(2), 470–480. https://doi.org/10.1016/j.tele.2016.08.001
Yan, Q., Wu, S., Wang, L., Wu, P., Chen, H., & Wei, G. (2016). e-WOM from e-commerce websites and social media: Which will consumers adopt? Electronic Commerce Research and Applications, 17(November), 62–73. https://doi.org/10.1016/j.elerap.2016.03.004
Yusuf, A. S., Che Hussin, A. R., & Busalim, A. H. (2018). Influence of e-WOM engagement on consumer purchase intention in social commerce. Journal of Services Marketing, 32(4), 493–504. https://doi.org/10.1108/JSM-01-2017-0031
Zainal, N. T. A., Harun, A., & Lily, J. (2017). Examining the mediating effect of attitude towards electronic words-of mouth (eWOM) on the relation between the trust in eWOM source and intention to follow eWOM among Malaysian travellers. Asia Pacific Management Review, 22(1), 35–44. https://doi.org/10.1016/j.apmrv.2016.10.004
Zha, X., Yang, H., Yan, Y., Liu, K., & Huang, C. (2018). Exploring the effect of social media information quality, source credibility and reputation on informational fit-to-task: Moderating role of focused immersion. Computers in Human Behavior, 79, 227–237. https://doi.org/10.1016/j.chb.2017.10.038