Who Decides Where to Go for a Coffee? e-WOM and Consumers' Purchase Intention
DOI:
https://doi.org/10.52633/jms.v4i1.141Keywords:
Electronic Word of Mouth, Café Industry, Product Perception, Purchase Intention, New ZealandAbstract
The main purpose of this study was to examine the impact of eWOM on consumers' selection intention of a café in New Zealand. The factors of eWOM which may affect customers' selection intention have been identified, with a focus on cafes in New Zealand. A quantitative research approach was employed and a survey was conducted to collect data from 234 New Zealand consumers through an online questionnaire. The findings of this study indicate that the quantity, quality, valence and consistency of eWOM have a positive impact on consumers' purchase intentions. The perceived credibility and the perceived usefulness have some indirect effects on eWOM and consumers' purchase intention. Among them, the valence of eWOM is fully intervened by the perceptual credibility, and the quantity, quality and consistency of eWOM are partly influenced by perceptual credibility. The quality and valence of eWOM are partially mediated by the perceived usefulness, while quantity and consistency are not mediated by perceived trust. TAM model was used to study online consumers' purchase intention in the New Zealand café industry. In addition, the modified model of this study explains the mediating effect of customer perceived usefulness and perceived credibility in the sphere of eWOM. Future research may use this theoretical model to investigate other restaurants, and comparison studies can be explored in different types of restaurants. The study also provides some practical implications for café managers, especially in electronic marketing. The results of this study show that the volume, quality, valence and consistency of eWOM have a significant positive impact on consumers' purchase intention. Furthermore, eWOM should be considered by managers as one of the important marketing tools to promote their businesses.
References
Ahmad, A., AlMallah, M. M., & AbedRabbo, M. (2021). Does eWOM influence entrepreneurial firms’ rate of diffusion of innovation? Journal of Research in Marketing and Entrepreneurship. https://doi.org/10.1108/JRME-01-2021-0012/Full/XML
Al-Azzam, A., F., M. (2016). Assessing the effect of electronic word of mouth dimensions on the consumer’s selection of restaurants and cafes in Jordan – A field study of restaurants and cafés in the city of Irbid. EPRA International Journal of Economic and Business Review, 4(10), 165-174.
Arif, M. E. (2019). The influence of electronic word of mouth (eWOM), brand image, and price on re-purchase intention of airline customers. Jurnal Aplikasi Manajemen, 17(2), 345–356. https://doi.org/10.21776/UB.JAM.2019.017.02.18
Boerman, S. C., Willemsen, L. M., & Van Der Aa, E. P. (2017). “This post is sponsored”: Effects of sponsorship disclosure on persuasion knowledge and electronic word of mouth in the context of Facebook. Journal of Interactive Marketing, 38, 82-92. https://www.doi.org/10.1016/j.intmar.2016.12.002
Bonett, D. G., & Wright, T. A. (2015). Cronbach's alpha reliability: Interval estimation, hypothesis testing, and sample size planning. Journal of Organizational Behavior, 36(1), 3-15. https://www.doi.org/10.1002/job.1960
Brown, T. J., Barry, T. E., Dacin, P. A., & Gunst, R. F. (2005). Spreading the word: Investigating antecedents of consumers’ positive word of mouth intentions and behaviors in a retailing context. Journal of the Academy of Marketing Science, 33(2), 123-138. https://www.doi.org/10.1177/0092070304268417
Bruhn, M., Schoenmueller, V., & Schäfer, D. B. (2012). Are social media replacing traditional media in terms of brand equity creation?", Management Research Review, Vol. 35 No. 9, pp. 770-790. https://www.doi.org/10.1108/01409171211255948
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. https://www.doi.org/10.1016/j.ijhm.2013.08.007
Casaló, L. V., Flavián, C., & Guinalíu, M. (2010). Determinants of the intention to participate in firm-hosted online travel communities and effects on consumer behavioral intentions. Tourism Management, 31(6), 898-911. https://www.doi.org/10.1016/j.tourman.2010.04.007
Chang, H. H., Tsai, Y. C., Wong, K. H., Wang, J. W., & Cho, F. J. (2015). The effects of response strategies and severity of failure on consumer attribution with regard to negative word of mouth. Decision Support Systems, 71, 48-61. https://www.doi.org/10.1016/j.dss.2015.01.007
Chatterjee, P. (2001). Online reviews: do consumers use them? Proceedings of Advances in Consumer Research (ACR) 2001, 129-134. Provo, UT: Association for Consumer Research.
Chatterjee, S., Chaudhuri, R., Vrontis, D., & Thrassou, A. (2021). The influence of online customer reviews on customers’ purchase intentions: a cross-cultural study from India and the UK. International Journal of Organizational Analysis. https://www.doi.org/10.1108/IJOA-02-2021-2627/Full/XML
Chen, P. Y., Dhanasobhon, S., & Smith, M. D. (2008). All reviews are not created equal: The disaggregate impact of reviews and reviewers at amazon.com. Working paper. Carnegie Mellon University Available at http://ssrn.com/abstract=918083. http://www.dx.doi.org/10.2139/ssrn.918083
Cheung, C. M., & Lee, M. K. (2012). What drives consumers to spread electronic word of mouth in online consumer-opinion platforms. Decision Support Systems, 53(1), 218-225. https://www.doi.org/10.1016/j.dss.2012.01.015
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://www.doi.org/10.1016/j.dss.2012.06.008
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://www.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 online consumer recommendations. International Journal of Electronic Commerce, 13(4), 9-38. https://www.doi.org/10.2753/JEC1086-4415130402
Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 43(3), 345-354. https://www.doi.org/10.1509/jmkr.43.3.345
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://www.doi.org/10.2501/IJA-30-1-047-075
Clemons, E. K., Gao, G. G., & Hitt, L. M. (2006). When online reviews meet hyperdifferentiation: A study of the craft beer industry. Journal of management information systems, 23(2), 149-171. https://www.doi.org/10.2753/MIS0742-1222230207
Creative Research Systems. (2019). Sample Size Caculator. Retrieved August 10, 2019, from https://www.surveysystem.com/sscalc.htm
Daowd, A., Hasan, R., Eldabi, T., Rafi-ul-Shan, P. M., Cao, D., & Kasemsarn, N. (2020). Factors affecting eWOM credibility, information adoption and purchase intention on Generation Y: a case from Thailand. Journal of Enterprise Information Management, 34(3), 838–859. https://www.doi.org/10.1108/JEIM-04-2019-0118/Full/XML
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems. Cambridge, MA.
De Bruyn, A., & Lilien, G. L. (2004). A multi-stage model of word of mouth through electronic referrals. eBusiness Research Center, Working Paper.
Duan, W., Gu, B., & Whinston, A. B. (2008). The dynamics of online word of mouth and product sales — An empirical investigation of the movie industry. Journal of retailing, 84(2), 233-242. https://www.doi.org/10.1016/j.jretai.2008.04.005
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://www.doi.org/10.1016/j.chb.2016.03.003
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, 15(2), 161–183. https://www.doi.org/10.1108/JAMR-05-2017-0062/Full/XML
Flanagin, A. J., & Metzger, M. J. (2007). The role of site features, user attributes, and information verification behaviors on the perceived credibility of web-based information. New Media & Society, 9(2), 319-342. https://www.doi.org/10.1177/1461444807075015
Garbarino, E., & Strahilevitz, M. (2004). Gender differences in the perceived risk of buying online and the effects of receiving a site recommendation. Journal of Business Research, 57(7), 768-775. https://www.doi.org/10.1016/S0148-2963(02)00363-6
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90. https://www.doi.org/10.2307/30036519
Gelb, B., & Johnson, M. (1995). Word of mouth communication: Causes and consequences. Journal of Health Care Marketing, 15, 54-54.
Ghose, A., & Ipeirotis, P. G. (2007, August). Designing novel review ranking systems: predicting the usefulness and impact of reviews. Proceedings of the Ninth International Conference on Electronic Commerce (pp. 303-310). ACM. https://www.doi.org/10.1145/1282100.1282158
Godes, D., & Mayzlin, D. (2004). Using online conversations to study word of mouth communication. Marketing Science, 23(4), 545-560. https://www.doi.org/10.1287/mksc.1040.0071
Ha, S., & Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, 62(5), 565-571. https://www.doi.org/10.1016/j.jbusres.2008.06.016
Hair, J. F., Money, A. H., Samouel, P., & Page, M. (2007). Research methods for business. Education+ Training, 49(4), 336-337. https://www.doi.org/10.1108/et.2007.49.4.336.2
Hartley, J., & Betts, L. R. (2010). Four layouts and a finding: the effects of changes in the order of the verbal labels and numerical values on Likert‐type scales. International Journal of Social Research Methodology, 13(1), 17-27. https://www.doi.org/10.1080/13645570802648077
Helm, S. (2000). Viral marketing-establishing customer relationships by'word-of-mouse'. Electronic markets, 10(3), 158-161.
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004). Electronic 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://www.doi.org/10.1002/dir.10073
Hu, N., Bose, I., Gao, Y., & Liu, L. (2011). Manipulation in digital word of mouth: A reality check for book reviews. Decision Support Systems, 50(3), 627-635. https://www.doi.org/10.1016/j.dss.2010.08.013
Hu, X., & Huang, L. (2015). The mediating role of customers' electronic word of mouth between firms' following-up actions and their stock performance in crisis events. Proceedings of 2015 International Conference on Logistics, Informatics and Service Sciences (LISS), 1-6. https://www.doi.org/10.1109/LISS.2015.7369670
Huifeng, P., & Ha, H. Y. (2021). Temporal effects of online customer reviews on restaurant visit intention: the role of perceived risk. Https://Doi.Org/10.1080/19368623.2021.1897053, 30(7), 825–844. https://www.doi.org/10.1080/19368623.2021.1897053
Jeong, E., & Jang, S. S. (2011). Restaurant experiences triggering positive electronic word of mouth (eWOM) motivations. International Journal of Hospitality Management, 30(2), 356-366. https://www.doi.org/10.1016/j.ijhm.2010.08.005
Kelley, K., Clark, B., Brown, V., & Sitzia, J. (2003). Good practice in the conduct and reporting of survey research. International Journal for Quality in Health Care, 15(3), 261-266. https://www.doi.org/10.1093/intqhc/mzg031
Kenny, D. A. (2008). Reflections on mediation. Organizational Research Methods, 11(2), 353-358. https://www.doi.org/10.1177/1094428107308978
Kim, S., & Park, H. (2013). Effects of various characteristics of social commerce (s-commerce) on consumers’ trust and trust performance. International Journal of Information Management, 33(2), 318-332. https://www.doi.org/10.1016/j.ijinfomgt.2012.11.006
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. https://www.doi.org/10.1016/j.elerap.2007.05.004
Lerrthaitrakul, W., & Panjakajornsak, V. (2014). The impact of electronic word of mouth factors on consumers' buying decision-making processes in the low cost carriers: a conceptual framework. International Journal of Trade, Economics and Finance, 5(2), 142.
Levy, S., & Gvili, Y. (2019). Online shopper engagement in price negotiation: the roles of culture, involvement and eWOM. Https://Doi.Org/10.1080/02650487.2019.1612621, 39(2), 232–257. https://www.doi.org/10.1080/02650487.2019.1612621
Liao, H. L., Huang, Z. Y., & Liu, S. H. (2021). The effects of negative online reviews on consumer perception, attitude and purchase intention: experimental investigation of the amount, quality, and presentation order of eWOM. Transactions on Asian and Low-Resource Language Information Processing, 20(3), 51. https://www.doi.org/10.1145/3426883
Litvin, S. W., Goldsmith, R. E., & Pan, B. (2008). Electronic word of mouth in hospitality and tourism management. Tourism Management, 29(3), 458-468. https://www.doi.org/10.1016/j.tourman.2007.05.011
Liu, Z., Liu, L., & Li, H. (2012). Determinants of information retweeting in microblogging. Internet Research, 22(4), 443-466. https://www.doi.org/10.1108/10662241211250980
Melchers, R. E., & Beck, A. T. (2018). Structural reliability analysis and prediction. John Wiley & Sons.
Mican, D., & Sitar-Taut, D.-A. (2020). Analysis of the Factors Impacting the Online Shopping Decision-Making Process. Studia Universitatis Babes-Bolyai Oeconomica, 65(1), 54–66. https://www.doi.org/10.2478/subboec-2020-0004
Moon, S., Bergey, P. K., & Iacobucci, D. (2010). Dynamic effects among movie ratings, movie revenues, and viewer satisfaction. Journal of Marketing, 74(1), 108-121. https://www.doi.org/10.1509/jmkg.74.1.108
Mtchedlidze, J. (2019). A discourse analysis of war representation on Twitter by civilian actors. A case of the Gaza-Israel war in 2014. (Master’s thesis, University of Oslo, Oslo, Norway). Retrieved from http://www.duo.uio.no/
Mudambi, S. M., & Schuff, D. (2010). What makes a helpful review? A study of customer reviews on Amazon. com. MIS Quarterly, 34(1), 185-200. Available at https://www.ssrn.com/abstract=2175066
Pai, M. Y., Chu, H. C., Wang, S. C., & Chen, Y. M. (2013). Electronic word of mouth analysis for service experience. Expert Systems with Applications, 40(6), 1993-2006. https://www.doi.org/10.1016/j.eswa.2012.10.024
Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015). Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and Policy in mental health and mental health services research, 42(5), 533-544.
Palka, W., Pousttchi, K., & Wiedemann, D. G. (2009). Mobile word of mouth-A grounded theory of mobile viral marketing. Journal of Information Technology, 24(2), 172-185. https://www.doi.org/10.1057/jit.2008.37
Park, J. S., Mo, Y. G., Jeong, J. K., Jeong, J. H., Shin, H. S., & Lee, H. J. (2008). U.S. Patent Application, 12(76), 216.
Park, S., & Nicolau, J. L. (2015). Asymmetric effects of online consumer reviews. Annals of Tourism Research, 50, 67-83. https://www.doi.org/10.1016/j.annals.2014.10.007
Putrevu, S., & Lord, K. R. (2003). Processing Internet communications: A motivation, opportunity and ability framework. Journal of Current Issues & Research in Advertising, 25(1), 45-59. https://www.doi.org/10.1080/10641734.2003.10505140
Rahman, A., Abir, T., Muhammad, D., Yazdani, N.-A., Bakar, A., Hamid, A., & Al Mamun, A. (2020). Brand image, eWOM, trust and online purchase intention of digital products among Malaysian consumers. Journal of Xi’an University of Architecture & Technology, XII(III), 4935. https://www.doi.org/10.37896/jxat12.03/452
Saleem, A., & Ellahi, A. (2017). Influence of electronic word of mouth on purchase intention of fashion products in social networking websites. Pakistan Journal of Commerce and Social Sciences (PJCSS), 11(2), 597–622.
Saremi, H. Q. (2014). Effectiveness of electronic word of mouth recommendations (Doctoral dissertation, Ph. D thesis, McMaster University, Canada., (93).
Scoop.co.nz. (2019). 2018 hospitality report. Retrieved July 12, 2019, from http://www.img.scoop.co.nz/media/pdfs/1809/2018_Hospitality_Report.pdf
See-To, E. W., & Ho, K. K. (2014). Value co-creation and purchase intention in social network sites: The role of electronic word of mouth and trust – A theoretical analysis. Computers in Human Behavior, 31, 182-189. http://www.dx.doi.org/10.1016/j.chb.2013.10.013
Sen, S., & Lerman, D. (2007). Why are you telling me this? An examination into negative consumer reviews on the web. Journal of interactive marketing, 21(4), 76-94. https://www.doi.org/10.1002/dir.2009
Seraj, M. (2012). We create, we connect, we respect, therefore we are: intellectual, social, and cultural value in online communities. Journal of Interactive Marketing, 26(4), 209-222. https://www.doi.org/10.1016/j.intmar.2012.03.002
Serra-Cantallops, A., Ramón Cardona, J., & Salvi, F. (2020). Antecedents of positive eWOM in hotels. Exploring the relative role of satisfaction, quality and positive emotional experiences. International Journal of Contemporary Hospitality Management, 32(11), 3457–3477. https://www.doi.org/10.1108/IJCHM-02-2020-0113/Full/PDF
Stats NZ. (n.d.). Retrieved 21 July 2019, from https://www.stats.govt.nz/topics/population
Stauss, B. (1997). Global word of mouth: service bashing on the internet is a thorny issue. Marketing Management, 6(3), 28.
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://www.doi.org/10.1287/isre.14.1.47.14767
Tan, C. C., Jamil, B., Aryty, A., & Daud, A. (2016). Electronic Word of Mouth (eWOM) on restaurants in Sarawak. Geografia-Malaysian Journal of Society and Space, 12(13).
The University of Auckland. (2019). Electronic word of mouth as a marketing strategy: Findings from research in Malaysia. Retrieved July 12, 2019, from https://www.auckland.ac.nz/content/dam/uoa/auckland/business/our-research/docs/nzai/research-snapshot-15.pdf
Tidd, J., & Bessant, J. R. (2018). Managing innovation: integrating technological, market and organizational change. John Wiley & Sons.
Trusov, M., Bucklin, R. E., & Pauwels, K. (2009). Effects of word of mouth versus traditional marketing: findings from an internet social networking site. Journal of Marketing, 73(5), 90-102. https://www.doi.org/10.1509/jmkg.73.5.90
Tseng, F. M., & Hsu, F. Y. (2010, July). The influence of eWOM within the online community on consumers’ purchasing intentions-The case of the Eee PC. Proceedings of the 2010 International Conference on Innovation and Management.
Vajjhala, V., & Ghosh, M. (2021). Decoding the effect of restaurant reviews on customer choice: Insights from Zomato. Journal of Foodservice Business Research, 1–28. https:// www.doi.org/10.1080/15378020.2021.1964417
Van der Heijden, H., Verhagen, T., & Creemers, M. (2003). Understanding online purchase intentions: contributions from technology and trust perspectives. European Journal of
Information Systems, 12(1), 41-48. https://www.doi.org/10.1057/palgrave.ejis.3000445
Vilpponen, A., Winter, S., & Sundqvist, S. (2006). Electronic word of mouth in online environments: Exploring referral networks structure and adoption behavior. Journal of Interactive Advertising, 6(2), 8-77. https://www.doi.org/10.1080/15252019.2006.10722120
Wang, S., Cunningham, N. R., & Eastin, M. S. (2015). The impact of eWOM message characteristics on the perceived effectiveness of online consumer reviews. Journal of Interactive Advertising, 15(2), 151-159.
Wasko, M. M., & Faraj, S. (2005). Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29(1), 35-57.
Weaver, A. (2010). Cafe culture and conversation: Tourism and urban(e) experiences in Wellington, New Zealand. In L. Jolliffe (Ed.), Coffee Culture, Destinations and Tourism, 41-52.
Willemsen, L. M., Neijens, P. C., Bronner, F., & De Ridder, J. A. (2011). “Highly recommended!” The content characteristics and perceived usefulness of online consumer reviews. Journal of Computer-Mediated Communication, 17(1), 19-38. https://www.doi.org/10.1111/j.10836101.2011.01551.x
Wong, A. T. T. (2018). A TAM Approach of Studying the Factors in Social Media and Consumer Purchase Intention in Hong Kong. Journal of Economics, Management and Trade, 21(10), 1-17. https://www.doi.org/10.9734/JEMT/2018/44080
Wu, L. (2013). The antecedents of customer satisfaction and its link to complaint intentions in online shopping: An integration of justice, technology, and trust. International Journal of Information Management, 33(1), 166-176. https://www.doi.org/10.1016/j.ijinfomgt.2012.09.001
Wu, P. C., & Wang, Y. C. (2011). The influences of electronic word of mouth message appeal and message source credibility on brand attitude. Asia Pacific Journal of Marketing and Logistics, 23(4), 448-472. https://www.doi.org/10.1108/13555851111165020
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://www.doi.org/10.1016/j.tele.2016.08.001
Yang, H. C., & Zhou, L. (2011). Extending TPB and TAM to mobile viral marketing: An exploratory study on American young consumers’ mobile viral marketing attitude, intent and behavior. Journal of Targeting, Measurement and Analysis for Marketing, 19(2), 85-98. https://www.doi-org.ezproxy.massey.ac.nz/10.1057/jt.2011.11
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://www.doi.org/10.1108/JSM-01-2017-0031/Full/XML
Zhang, M. (2017). Effects of customers’ café experience on their perceptions of value for money, satisfaction, and loyalty intentions: A case of the Auckland café industry (Doctoral dissertation, Auckland University of Technology, Auckland, New Zealand). Retrieved from http://hdl.handle.net/10292/11241
Zhang, M., Kim, P. B., & Goodsir, W. (2019). Effects of service experience attributes on customer attitudes and behaviors: The case of New Zealand café industry. Journal of Hospitality Marketing & Management, 28(1), 28-50. https://www.doi.org/10.1080/15252019.2015.1091755
Zhu, F., & Zhang, X. (2010). Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. Journal of Marketing, 74(2), 133-148. https://www.doi.org/10.1509/jm.74.2.133
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