The impact of eWOM information in social media on the online purchase intention of Generation Z

References

• Abedi, E., Ghorbanzadeh, D., & Rahehagh, A. (2020). Influence of eWOM information on consumers’ behavioral intentions in mobile social networks: Evidence of Iran. Journal of Advances in Management Research, 17(1), 1–20. https://doi.org/10.1108/JAMR-04-2019-0058
   Web of Science ®Google Scholar
• Acharya, A. S., Prakash, A., Saxena, P., & Nigam, A. (2013). Sampling: Why and how of it. Indian Journal of Medical Specialties, 4(2), 330–333.
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Alboqami, H., Al-Karaghouli, W., Baeshen, Y., Erkan, I., Evans, C., & Ghoneim, A. (2015). Electronic word of mouth in social media: The common characteristics of retweeted and favourited marketer-generated content posted on Twitter. International Journal of Internet Marketing and Advertising, 9(4), 338–358. https://doi.org/10.1504/IJIMA.2015.072886
   Google Scholar
• Alghizzawi, M. (2019). A survey of the role of social media platforms in viral marketing: The influence of eWOM. International Journal of Information Technology, 3(2), 54–60.
   Google Scholar
• Bagozzi, R. P., Davis, F. D., & Warshaw, P. R. (1992). Development and test of a theory of technological learning and usage. Human Relations, 45(7), 659–686. https://doi.org/10.1177/001872679204500702
   Web of Science ®Google Scholar
• Bailey, J. E., & Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management Science, 29(5), 530–545. https://doi.org/10.1287/mnsc.29.5.530
   Web of Science ®Google Scholar
• Bashir, S., Khwaja, M. G., Mahmood, A., Turi, J. A., & Latif, K. F. (2021). Refining e-shoppers’ perceived risks: Development and validation of new measurement scale. Journal of Retailing and Consumer Services, 58, 102285. https://doi.org/10.1016/j.jretconser.2020.102285
   Web of Science ®Google Scholar
• Bashir, S., Khwaja, M. G., Turi, J. A., & Toheed, H. (2019). Extension of planned behavioral theory to consumer behaviors in green hotel. Heliyon, 5(12), e02974. https://doi.org/10.1016/j.heliyon.2019.e02974
   PubMed Web of Science ®Google Scholar
• Bronner, F., & De Hoog, R. (2011). Vacationers and eWOM: Who posts, and why, where, and what? Journal of Travel Research, 50(1), 15–26. https://doi.org/10.1177/0047287509355324
   Web of Science ®Google Scholar
• Byrne, B. (1998). Structural equation modeling with LISREL, PRELIS, & SIMPLIS: Basic concepts, applications, & programming. Erlbaum.
   Google Scholar
• Canhoto, A. I., & Clark, M. (2013). Customer service 140 characters at a time: The users’ perspective. Journal of Marketing Management, 29(5–6), 522–544. https://doi.org/10.1080/0267257X.2013.777355
   Google Scholar
• Cham, T. H., Lim, Y. M., Sia, B. C., Cheah, J. H., & Ting, H. (2021). Medical tourism destination image and its relationship with the intention to revisit: A study of Chinese medical tourists in Malaysia. Journal of China Tourism Research, 17(2), 163–191. https://doi.org/10.1080/19388160.2020.1734514
   Web of Science ®Google Scholar
• Cheung, C. M., & 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. https://doi.org/10.1016/j.dss.2012.06.008
   Web of Science ®Google Scholar
• Cheung, C. M., Lee, M. K., & 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
   Web of Science ®Google Scholar
• Chivandi, A., Olorunjuwon Samuel, M., & Muchie, M. (2020). Social media, consumer behavior, and service marketing. In Reyes, M. (ed.), Consumer behavior and marketing (pp. 1–13). IntechOpen. https://doi.org/10.5772/intechopen.85406
   Google Scholar
• Chu, S. C., & Kim, Y. (2011). Determinants of consumer engagement in electronic word-of-mouth (eWOM) in social networking sites. International Journal of Advertising, 30(1), 47–75. https://doi.org/10.2501/IJA-30-1-047-075
   Web of Science ®Google Scholar
• Cope, D. G. (2015). Conducting pilot and feasibility studies. Oncology Nursing Forum, 42(2), 196–197. https://doi.org/10.1188/15.ONF.196-197
   PubMed Web of Science ®Google Scholar
• Coyle, J. R., & Thorson, E. (2001). The effects of progressive levels of interactivity and vividness in web marketing sites. Journal of Advertising, 30(3), 65–77. https://doi.org/10.1080/00913367.2001.10673646
   Web of Science ®Google Scholar
• Dellarocas, C. (2003). The digitization of word of mouth: Promise and challenges of online feedback mechanisms. Management Science, 49(10), 1407–1424. https://doi.org/10.1287/mnsc.49.10.1407.17308
   Web of Science ®Google Scholar
• Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Harcourt Brace Jovanovich College Publishers. https://psycnet.apa.org/record/1992-98849-000
   Google Scholar
• 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. https://doi.org/10.1016/j.chb.2016.03.003
   Web of Science ®Google Scholar
• Erkan, I., & Evans, C. (2018). Social media or shopping websites? The influence of eWOM on consumers’ online purchase intentions. Journal of Marketing Communications, 24(6), 617–632. https://doi.org/10.1080/13527266.2016.1184706
   Google Scholar
• 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. https://doi.org/10.1016/j.jbusres.2014.11.006
   Web of Science ®Google Scholar
• Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research. Addison-Wesley.
   Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382–388. https://doi.org/10.1177/002224378101800313
   Web of Science ®Google Scholar
• George, D., & Mallery, P. (2003). Using SPSS for Windows step by step: A simple guide and reference (4th ed.). Pearson Education.
   Google Scholar
• Gökerik, M., Gürbüz, A., Erkan, I., Mogaji, E., & Sap, S. (2018). Surprise me with your ads! The impacts of guerrilla marketing in social media on brand image. Asia Pacific Journal of Marketing and Logistics, 30(5), 1222–1238. https://doi.org/10.1108/APJML-10-2017-0257
   Web of Science ®Google Scholar
• Gorsuch, R. L. (1983). Factor analysis (2nd ed.). Lawrence Erlbaum Associates.
   Google Scholar
• Gvili, Y., & Levy, S. (2018). Consumer engagement with eWOM on social media: The role of social capital. Online Information Review, 42(4), 482–505. https://doi.org/10.1108/OIR-05-2017-0158
   Web of Science ®Google Scholar
• Hair, J. F., Anderson, R. E., Black, W. C., & Babin, B. J. (2010). Multivariate data analysis: A global perspective. Prentice Hall.
   Google Scholar
• Hair, J. F., Jr, Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis (5th Intl. ed.). Prentice Hall.
   Google Scholar
• Hair, J. F., Jr, Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128
   Google Scholar
• Hall, M. C., Prayag, G., Fieger, P., & Dyason, D. (2020). Beyond panic buying: Consumption displacement and COVID-19. Journal of Service Management, 32(1), 113–128. https://doi.org/10.1108/JOSM-05-2020-0151
   Web of Science ®Google Scholar
• Hoaglin, D. C., & Iglewicz, B. (1987). Fine-tuning some resistant rules for outlier labeling. Journal of the American Statistical Association, 82(400), 1147–1149. https://doi.org/10.1080/01621459.1987.10478551
   Web of Science ®Google Scholar
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
   Web of Science ®Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Ismagilova, E., Rana, N. P., Slade, E. L., & Dwivedi, Y. K. (2021). A meta-analysis of the factors affecting eWOM providing behaviour. European Journal of Marketing, 55(4), 1067–1102. https://doi.org/10.1108/EJM-07-2018-0472
   Web of Science ®Google Scholar
• Ismail, A. R., Nguyen, B., Chen, J., Melewar, T. C., & Mohamad, B. (2021). Brand engagement in self-concept (BESC), value consciousness and brand loyalty: A study of generation Z consumers in Malaysia. Young Consumers, 22(1), 112–130. https://doi.org/10.1108/YC-07-2019-1017
   Web of Science ®Google Scholar
• Khwaja, M. G., & Zaman, U. (2020). Configuring the evolving role of eWOM on the consumers information adoption. Journal of Open Innovation: Technology, Market, and Complexity, 6(4), 125. https://doi.org/10.3390/joitmc6040125
   Google Scholar
• Kohler, E., Mogaji, E., & Erkan, İ. (2023). Save the trip to the store: Sustainable shopping, electronic word of mouth on Instagram and the impact on cosmetic purchase intentions. Sustainability, 15(10), 8036. https://doi.org/10.3390/su15108036
   Web of Science ®Google Scholar
• Kunja, S. R., & Gvrk, A. (2020). Examining the effect of eWOM on the customer purchase intention through value co-creation (VCC) in social networking sites (SNSs) A study of select Facebook fan pages of smartphone brands in India. Management Research Review, 43(3), 245–269. https://doi.org/10.1108/MRR-04-2017-0128
   Google Scholar
• Lee, C. H., & Chen, C. W. (2021). Impulse buying behaviors in live streaming commerce based on the stimulus-organism-response framework. Information, 12(6), 241. https://doi.org/10.3390/info12060241
   Google Scholar
• Le-Hoang, P. V. (2020). The effects of Electronic Word of Mouth (eWOM) on the adoption of consumer eWOM information. Independent Journal of Management & Production, 11(6), 1760–1777. https://doi.org/10.14807/ijmp.v11i6.1152
   Web of Science ®Google Scholar
• Leong, C. M., Loi, A. M. W., & Woon, S. (2021). The influence of social media eWOM information on purchase intention. Journal of Marketing Analytics, 10(2), 145–157. https://doi.org/10.1057/s41270-021-00132-9
   Google Scholar
• Liang, T. P., Cheng, J. C., Saini, V., & Hsu, J. S. C. (2021). Is being helpful good enough for online reviews? Exploring the role of information credibility and data source through meta-analysis. Journal of Electronic Commerce Research, 22(4), 336–362. http://www.jecr.org/node/644
   Web of Science ®Google Scholar
• López, M., & Sicilia, M. (2014). Determinants of E-WOM influence: The role of consumers’ internet experience. Journal of Theoretical and Applied Electronic Commerce Research, 9(1), 7–8. https://doi.org/10.4067/S0718-18762014000100004
   Web of Science ®Google Scholar
• Ngarmwongnoi, C., Oliveira, J. S., AbedRabbo, M., & Mousavi, S. (2020). The implications of eWOM adoption on the customer journey. Journal of Consumer Marketing, 37(7), 749e759–749e759. https://doi.org/10.1108/JCM-10-2019-3450
   Web of Science ®Google Scholar
• 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
   Web of Science ®Google Scholar
• Peña-García, N., Gil-Saura, I., Rodríguez-Orejuela, A., & Siqueira-Junior, J. R. (2020). Purchase intention and purchase behavior online: A cross-cultural approach. Heliyon, 6(6), e04284. https://doi.org/10.1016/j.heliyon.2020.e04284
   PubMed Web of Science ®Google Scholar
• Peres, R., & Silva, M. (2021). The role of micro-influencers in the consumer decision-making process in the hospitality field. European Journal of Tourism, Hospitality and Recreation, 11(1), 102–112. https://doi.org/10.2478/ejthr-2021-0010
   Web of Science ®Google Scholar
• Phung, M. T., Ly, P. T. M., Nguyen, T. T., & Nguyen-Thanh, N. (2020). An FsQCA investigation of eWOM and social influence on product adoption intention. Journal of Promotion Management, 26(5), 726–747. https://doi.org/10.1080/10496491.2020.1729318
   Google Scholar
• Priporas, C. V., Stylos, N., & Fotiadis, A. K. (2017). Generation Z consumers’ expectations of interactions in smart retailing: A future agenda. Computers in Human Behavior, 77, 374–381. https://doi.org/10.1016/j.chb.2017.01.058
   Web of Science ®Google Scholar
• Sardar, A., Manzoor, A., Shaikh, K. A., & Ali, L. (2021). An empirical examination of the impact of eWom information on young consumers’ online purchase intention: Mediating role of eWom information adoption. SAGE Open, 11(4), 215824402110525. https://doi.org/10.1177/21582440211052547
   Web of Science ®Google Scholar
• Shankar, A., Jebarajakirthy, C., & Ashaduzzaman, M. (2020). How do electronic word of mouth practices contribute to mobile banking adoption? Journal of Retailing and Consumer Services, 52, 101920. https://doi.org/10.1016/j.jretconser.2019.101920
   Web of Science ®Google Scholar
• Sheard, J. (2018). Quantitative data analysis. In: Williamson, K., & Johanson, G. (eds). Research methods: Information, systems, and contexts (2nd ed., pp. 429–452). Elsevier, Chandos Publishing. https://doi.org/10.1016/B978-0-08-102220-7.00018-2
   Google Scholar
• Shen, X. L., Zhang, K. Z., & Zhao, S. J. (2014 Understanding information adoption in online review communities: The role of herd factors [Paper presentation]. 2014 47th Hawaii International Conference on System Sciences (pp. 604–613). https://doi.org/10.1109/HICSS.2014.81
   Google Scholar
• Spears, N., & Singh, S. N. (2004). Measuring attitude toward the brand and purchase intentions. Journal of Current Issues & Research in Advertising, 26(2), 53–66. https://doi.org/10.1080/10641734.2004.10505164
   Google Scholar
• Stratton, S. J. (2021). Population research: Convenience sampling strategies. Prehospital and Disaster Medicine, 36(4), 373–374. https://doi.org/10.1017/s1049023x21000649
   PubMed Web of Science ®Google Scholar
• Sun, Y., Wang, R., Cao, D., & Lee, R. (2022). Who are social media influencers for luxury fashion consumption of the Chinese Gen Z? Categorisation and empirical examination. Journal of Fashion Marketing and Management: An International Journal, 26(4), 603–621. https://doi.org/10.1108/JFMM-07-2020-0132
   Google Scholar
• 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
   Web of Science ®Google Scholar
• Teng, S., Khong, K. W., Chong, A. Y. L., & Lin, B. (2017). Persuasive electronic word-of-mouth messages in social media. Journal of Computer Information Systems, 57(1), 76–88. https://doi.org/10.1080/08874417.2016.1181501
   Web of Science ®Google Scholar
• Thakkar, J. J. (2020). Introduction to structural equation modelling. In Jitesh J. Thakkar (ed.), Structural equation modelling. Studies in systems, decision and control (p. 285). Singapore: Springer. https://doi.org/10.1007/978-981-15-3793-6_1
   Google Scholar
• Tien, D. H., Rivas, A. A. A., & Liao, Y. K. (2019). Examining the influence of customer-to-customer electronic word-of-mouth on purchase intention in social networking sites. Asia Pacific Management Review, 24(3), 238–249. https://doi.org/10.1016/j.apmrv.2018.06.003
   Web of Science ®Google Scholar
• Torres, J. A. S., Moro, M. L. S., & Irurita, A. A. (2018). Impact of gender on the acceptance of electronic word-of-mouth (eWOM) information in Spain. Contaduría Y Administración, 63(4), 1–19. https://doi.org/10.22201/fca.24488410e.2018.1428
   Google Scholar
• Verma, D., Dewani, P. P., Behl, A., & Dwivedi, Y. K. (2023). Understanding the impact of eWOM communication through the lens of information adoption model: A meta analytic structural equation modeling perspective. Computers in Human Behavior, 143, 107710. https://doi.org/10.1016/j.chb.2023.107710
   Web of Science ®Google Scholar
• Wan, C., & Shen, G. Q. (2015). Encouraging the use of urban green space: The mediating role of attitude, perceived usefulness and perceived behavioural control. Habitat International, 50, 130–139. https://doi.org/10.1016/j.habitatint.2015.08.010
   Web of Science ®Google Scholar
• Wang, X., Yu, C., & Wei, Y. (2012). Social media peer communication and impacts on purchase intentions: A consumer socialization framework. Journal of Interactive Marketing, 26(4), 198–208. https://doi.org/10.1016/j.intmar.2011.11.004
   Web of Science ®Google Scholar
• Wang, Y. (2016). Information adoption model, a review of the literature. Journal of Economics, Business and Management, 4(11), 618–622. https://doi.org/10.18178/joebm.2016.4.11.462
   Google Scholar
• We Are Social. (2020). Digital in 2020. https://wearesocial.com/digital-2020
   Google Scholar
• Weitzl, W. (2017). Measuring electronic word-of-mouth effectiveness: Developing and applying the eWOM trust scale. Gabler Verlag. https://doi.org/10.1007/978-3-658-15889-7
   Google Scholar
• Wiśniowski, A., Sakshaug, J. W., Perez Ruiz, D. A., & Blom, A. G. (2020). Integrating probability and nonprobability samples for survey inference. Journal of Survey Statistics and Methodology, 8(1), 120–147. https://doi.org/10.1093/jssam/smz051
   Web of Science ®Google Scholar
• Xue, J., Lee, Y. C., & Mu, H. L. (2018). Influencing factors of advertising information adoption on user’s purchase intention: Evidence from China’s social media. International Journal of Pure and Applied Mathematics, 120(6), 5809–5821.
   Google Scholar
• Yeap, J. A., Ignatius, J., & Ramayah, T. (2014). Determining consumers’ most preferred eWOM platform for movie reviews: A fuzzy analytic hierarchy process approach. Computers in Human Behavior, 31, 250–258. https://doi.org/10.1016/j.chb.2013.10.034
   Web of Science ®Google Scholar
• Yones, P. C. P., & Muthaiyah, S. (2022). eWOM via the TikTok application and its influence on the purchase intention of somethinc products. Asia Pacific Management Review, 28(2), 174–184. https://doi.org/10.1016/j.apmrv.2022.07.007
   Web of Science ®Google Scholar