Main Article Content

Abstract

This article presents the results of mapping taken from various sources as many as 20 articles on e-WOM, Product Quality and Brand Image as well as consumer behavior and purchasing power towards purchase intention. In the concept of marketing; word of mouth (WOM) is a noble goal of various business activities where the concept of WOM is as a form of advertising through voluntary recommendation activities from consumers to their social environment and groups. In digital activity, the concept of WOM then changed to e-WOM (electronic word of mouth). The presence of a product, word of mouth and also customer preferences are inseparable from the linkage of brand image attached to product elements and service quality. In general, Brand image is the current view of customers about a brand. Brand image can be defined as a collection of unique associations in the minds of target customers.

Keywords

e-WOM Product Quality Brand Image Consumer Behavior Purchasing Power E-commerce

Article Details

How to Cite
Pradana, A. F. P., Hasan, S., Putra, A. H. P. K., & Kalla, R. (2021). Moderating of SERVQUAL on E-WOM, Product Quality, and Brand Image on and E-commerce Purchase Intention. Golden Ratio of Mapping Idea and Literature Format, 2(1), 36–51. https://doi.org/10.52970/grmilf.v2i1.135

References

  1. Abubakar, A. M., & Ilkan, M. (2016). Impact of online WOM on destination trust and intention to travel: A medical tourism perspective. Journal of Destination Marketing & Management, 5(3), 192–201. https://doi.org/10.1016/j.jdmm.2015.12.005
  2. Ahmad, I. S., Bakar, A. A., & Yaakub, M. R. (2020). Movie Revenue Prediction Based on Purchase Intention Mining Using YouTube Trailer Reviews. Information Processing and Management, 57(5), 102278. https://doi.org/10.1016/j.ipm.2020.102278
  3. Ahmad, W., & Zhang, Q. (2020). Green purchase intention: Effects of electronic service quality and customer green psychology. Journal of Cleaner Production, 267, 122053. https://doi.org/10.1016/j.jclepro.2020.122053
  4. Aren, S., Güzel, M., Kabadayı, E., & Alpkan, L. (2013). Factors affecting repurchase intention to shop at the same website. Procedia-Social and Behavioral Sciences, 99, 536–544. https://doi.org/10.1016/j.sbspro.2013.10.523
  5. Bardasco San José, D. (2016). Analysis of Crowdsourcing Logistics in B2C e-commerce: Costs and Environmental perspective. http://hdl.handle.net/2117/112405
  6. Beauchamp, M. B., & Ponder, N. (2010). Perceptions of retail convenience for in-store and online shoppers. The Marketing Management Journal, 20(1), 49–65. http://dx.doi.org/10.1108/09564231311323962
  7. Bell, D. R., Gallino, S., & Moreno, A. (2014). How to win in an omnichannel world. MIT Sloan Management Review, 56(1), 45.
  8. Bepari, S. (2019). The number of mobile wallet users grows by 140 million per year. https://www.fintechnews.org/the-number-of-mobile-wallet-users-grows-by-140-million-per-year/
  9. Bouncken, R., Ratzmann, M., Barwinski, R., & Kraus, S. (2020). Coworking spaces: Empowerment for entrepreneurship and innovation in the digital and sharing economy. Journal of Business Research, 114, 102–110. http://dx.doi.org/10.1016/j.jbusres.2020.03.033
  10. Bresciani, S., Ferraris, A., & Del Giudice, M. (2018). The management of organizational ambidexterity through alliances in a new context of analysis: Internet of Things (IoT) smart city projects. Technological Forecasting and Social Change, 136, 331–338. https://doi.org/10.1016/j.techfore.2017.03.002
  11. Buhalis, D. (2000). Marketing the competitive destination of the future. Tourism Management, 21(1), 97–116. https://doi.org/10.1016/S0261-5177(99)00095-3
  12. Busalim, A. H. (2016). Understanding social commerce: A systematic literature review and directions for further research. International Journal of Information Management, 36(6), 1075–1088. https://doi.org/10.1016/j.ijinfomgt.2016.06.005
  13. Chang, H. H., & Wu, L. H. (2014). An examination of negative e-WOM adoption: Brand commitment as a moderator. Decision Support Systems, 59(1), 206–218. https://doi.org/10.1016/j.dss.2013.11.008
  14. Chen, C.-C. V., & Chen, C.-J. (2017). The role of customer participation for enhancing repurchase intention. Management Decision. http://dx.doi.org/10.1108/MD-06-2016-0380
  15. Chen, Y.-S. (2010). The drivers of green brand equity: Green brand image, green satisfaction, and green trust. Journal of Business Ethics, 93(2), 307–319. https://doi.org/10.1007/s10551-009-0223-9
  16. Cheng, H. H., & Huang, S. W. (2013). Exploring antecedents and consequence of online group-buying intention: An extended perspective on theory of planned behavior. International Journal of Information Management, 33(1), 185–198. https://doi.org/10.1016/j.ijinfomgt.2012.09.003
  17. ComScore Report. (2013). Mobile future in focus [online]. https://www.comscore.com/Insights/Presentations-and-Whitepapers/2013/2013-Mobile-Future-in-Focus
  18. 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(July), 758–773. https://doi.org/10.1016/j.jbusres.2021.07.015
  19. Duarte, P., Costa e Silva, S., & Ferreira, M. B. (2018). How convenient is it? Delivering online shopping convenience to enhance customer satisfaction and encourage e-WOM. Journal of Retailing and Consumer Services, 44(June), 161–169. https://doi.org/10.1016/j.jretconser.2018.06.007
  20. Fang, Y., Qureshi, I., Sun, H., McCole, P., Ramsey, E., & Lim, K. H. (2014). Trust, satisfaction, and online repurchase intention. Mis Quarterly, 38(2), 407-A9. https://doi.org/10.25300/MISQ/2014/38.2.04
  21. 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
  22. 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. https://doi.org/10.1108/ijchm-05-2020-040
  23. 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. https://psycnet.apa.org/doi/10.1016/j.chb.2017.10.039
  24. 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(November 2019), 663–675. https://doi.org/10.1016/j.jbusres.2021.06.055
  25. 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%2F0047287513481274
  26. Fu, J. R., Lu, I. W., Chen, J. H. F., & Farn, C. K. (2020). Investigating consumers’ online social shopping intention: An information processing perspective. International Journal of Information Management, 54(January 2018), 102189. https://doi.org/10.1016/j.ijinfomgt.2020.102189
  27. Galbreth, M. R., Ghosh, B., & Shor, M. (2012). Social sharing of information goods: Implications for pricing and profits. Marketing Science, 31(4), 603–620. https://doi.org/10.1287/mksc.1120.0706
  28. Gansky, L. (2010). The mesh: Why the future of business is sharing. Penguin.
  29. Giglio, S., Bertacchini, F., Bilotta, E., & Pantano, P. (2019). Using social media to identify tourism attractiveness in six Italian cities. Tourism Management, 72, 306–312. http://dx.doi.org/10.1016/j.tourman.2018.12.007
  30. Gretzel, U., & Yoo, K. H. (2008). Use and impact of online travel reviews. Information and Communication Technologies in Tourism 2008, 35–46. https://doi.org/10.1007/978-3-211-77280-5_4
  31. Hennig-Thurau, T., Henning, V., & Sattler, H. (2007). Consumer file sharing of motion pictures. Journal of Marketing, 71(4), 1–18. http://dx.doi.org/10.1509/jmkg.71.4.1
  32. Ismagilova, E., Dwivedi, Y. K., & Slade, E. (2020). Perceived helpfulness of eWOM: Emotions, fairness and rationality. Journal of Retailing and Consumer Services, 53(February), 101748. https://doi.org/10.1016/j.jretconser.2019.02.002
  33. Ismagilova, E., Dwivedi, Y. K., Slade, E., & Williams, M. D. (2017). Electronic word of mouth (eWOM) in the marketing context: A state of the art analysis and future directions. http://dx.doi.org/10.1109/ICORIS52787.2021.9649596
  34. Jiang, L. A., Yang, Z., & Jun, M. (2013). Measuring consumer perceptions of online shopping convenience. Journal of Service Management. https://doi.org/10.1108/09564231311323962
  35. Kabir, A. A., & Musibau, A. A. (2018). Adoption of electronic commerce technology in emerging nations: A conceptual review of the literature. International Journal of Economics, Commerce and Management, 2(1), 455–472. https://doi.org/10.3389/fpsyg.2021.713957
  36. Li, X., Dahana, W. D., Ye, Q., Peng, L., & Zhou, J. (2021). How does shopping duration evolve and influence buying behavior? The role of marketing and shopping environment. Journal of Retailing and Consumer Services, 62(March). https://doi.org/10.1016/j.jretconser.2021.102607
  37. Liu, H., Meng-Lewis, Y., Ibrahim, F., & Zhu, X. (2021). Superfoods, super healthy: Myth or reality? Examining consumers’ repurchase and WOM intention regarding superfoods: A theory of consumption values perspective. Journal of Business Research, 137(April), 69–88. https://doi.org/10.1016/j.jbusres.2021.08.018
  38. Lo, F.-Y., & Campos, N. (2018). Blending Internet-of-Things (IoT) solutions into relationship marketing strategies. Technological Forecasting and Social Change, 137, 10–18. https://doi.org/10.1016/j.techfore.2018.09.029
  39. Meilatinova, N. (2021). Social commerce: Factors affecting customer repurchase and word-of-mouth intentions. International Journal of Information Management, 57(January 2020), 102300. https://doi.org/10.1016/j.ijinfomgt.2020.102300
  40. Nasir, V. A., Keserel, A. C., Surgit, O. E., & Nalbant, M. (2021). Segmenting consumers based on social media advertising perceptions: How does purchase intention differ across segments? Telematics and Informatics, 64(July), 101687. https://doi.org/10.1016/j.tele.2021.101687
  41. Neirotti, P., Raguseo, E., & Paolucci, E. (2016). Are customers’ reviews creating value in the hospitality industry? Exploring the moderating effects of market positioning. International Journal of Information Management, 36(6), 1133–1143. https://doi.org/10.1016/j.ijinfomgt.2016.02.010
  42. Nielsen. (2013). The reviews are in: Yelp users are four-star consumers. https://www.nielsen.com/us/en/insights/article/2013/the-reviews-are-in--yelp-users-are-four-star-consumers.html
  43. Ontsi. (2013). Comercio electrónico B2C 2012 (B2C E-commerce 2012, for a tentative translation). https://www.ontsi.es/ontsi/sites/default/files/informe_ecomm_2013.pdf
  44. 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://www.jstor.org/stable/27751234
  45. Park, M.-S., Shin, J.-K., & Ju, Y. (2019). Attachment styles and electronic word of mouth (e-WOM) adoption on social networking sites. Journal of Business Research, 99, 398–404. https://psycnet.apa.org/doi/10.1016/j.jbusres.2017.09.020
  46. Raguseo, E., & Vitari, C. (2017). The effect of brand on the impact of e-WOM on hotels’ financial performance. International Journal of Electronic Commerce, 21(2), 249–269. https://doi.org/10.1080/10864415.2016.1234287
  47. Ramayah, T., Lee, J. W. C., & Mohamad, O. (2010). Green product purchase intention: Some insights from a developing country. Resources, Conservation and Recycling, 54(12), 1419–1427. https://doi.org/10.1016/J.RESCONREC.2010.06.007
  48. Ryu, S., & Park, J. K. (2020). The effects of benefit-driven commitment on usage of social media for shopping and positive word-of-mouth. Journal of Retailing and Consumer Services, 55(November 2019), 102094. https://doi.org/10.1016/j.jretconser.2020.102094
  49. San-Martín, S., Prodanova, J., & Jiménez, N. (2015). The impact of age in the generation of satisfaction and WOM in mobile shopping. Journal of Retailing and Consumer Services, 23, 1–8. https://doi.org/10.1016/j.jretconser.2014.11.001
  50. Schulz, P., Shehu, E., & Clement, M. (2019). When consumers can return digital products: Influence of firm-and consumer-induced communication on the returns and profitability of news articles. International Journal of Research in Marketing, 36(3), 454–470. https://doi.org/10.1016/j.ijresmar.2019.01.003
  51. Seiders, K., Berry, L. L., & Gresham, L. G. (2000). Attention, retailers! How convenient is your convenience strategy? MIT Sloan Management Review, 41(3), 79.
  52. Senecal, S., & Nantel, J. (2004). The influence of online product recommendations on consumers’ online choices. Journal of Retailing, 80(2), 159–169. http://dx.doi.org/10.1016/j.jretai.2004.04.001
  53. Siqueira, J. R., Peña, N. G., ter Horst, E., & Molina, G. (2019). Spreading the Word: How Customer Experience in a Traditional Retail Setting Influences Consumer Traditional and Electronic Word-of-mouth Intention. Electronic Commerce Research and Applications, 37(40), 100870. https://doi.org/10.1016/j.elerap.2019.100870
  54. Sorensen. (2018). Different Types of Mobile Payments Explained. https://www.mobiletransaction.org/different-types-of-mobile-payments/
  55. Sparks, B. A., & Browning, V. (2011). The impact of online reviews on hotel booking intentions and perception of trust. Tourism Management, 32(6), 1310–1323. https://doi.org/10.1016/j.tourman.2010.12.011
  56. Statista. (2020). Digital Payments. https://www.statista.com/outlook/dmo/fintech/digital-payments/worldwide
  57. Talwar, M., Talwar, S., Kaur, P., Islam, A. K. M. N., & Dhir, A. (2021). Positive and negative word of mouth (WOM) are not necessarily opposites: A reappraisal using the dual factor theory. Journal of Retailing and Consumer Services, 63(September), 102396. https://doi.org/10.1016/j.jretconser.2020.102396
  58. TripAdvisor. (2018). About TripAdvisor. Available 16th May 2018. https://tripadvisor.mediaroom.com/uk-about-us
  59. TripAdvisor. (2021). Tripadvisor Announces $300 Million Convertible Notes Offering.
  60. Van Heerde, H. J., Dinner, I. M., & Neslin, S. A. (2019). Engaging the unengaged customer: The value of a retailer mobile app. International Journal of Research in Marketing, 36(3), 420–438. https://doi.org/10.1016/j.ijresmar.2019.03.003
  61. Viglia, G., Minazzi, R., & Buhalis, D. (2016). The influence of e-word-of-mouth on hotel occupancy rate. International Journal of Contemporary Hospitality Management. https://doi.org/10.1108/IJCHM-05-2015-0238
  62. 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, 54–62. https://doi.org/10.3390/info12050192
  63. Wijaya, R., & Farida, N. (2018). Determinants of Repurchase Intentions at Online Stores in Indonesia. International Journal of E-Business Research (IJEBR), 14(3), 95–111. http://dx.doi.org/10.4018/IJEBR.2018070106
  64. Xiang, Z., & Gretzel, U. (2010). Role of social media in online travel information search. Tourism Management, 31(2), 179–188. https://doi.org/10.1016/j.tourman.2009.02.016
  65. Yelp. (2018). 10 Things You Should Know About Yelp. Available 16th May 2018. https://www.yelp.co.uk/about
  66. Yu, X., Roy, S. K., Quazi, A., Nguyen, B., & Han, Y. (2017). Internet entrepreneurship and “the sharing of information” in an Internet-of-Things context: The role of interactivity, stickiness, e-satisfaction and word-of-mouth in online SMEs’ websites. Internet Research.
  67. Zhang, K. Z. K., & Benyoucef, M. (2016). Consumer behavior in social commerce: A literature review. Decision Support Systems, 86, 95–108. https://doi.org/10.1016/j.dss.2016.04.001