DOI QR코드

DOI QR Code

The Digital Loyalty Equation in Distribution Science: A Multi-method Exploration of E-commerce Success Factors

  • Vu Hiep HOANG (NEU Business School, National Economics University) ;
  • Quoc Dung NGO (Faculty of Planning and Development, National Economics University) ;
  • Anh Kiet MAI (VinSchool The Harmony) ;
  • Huynh Mai LE (Faculty of Planning and Development, National Economics University)
  • Received : 2024.07.19
  • Accepted : 2024.09.05
  • Published : 2024.09.26

Abstract

Purpose: This study explores the complex interplay between service quality, customer engagement, and loyalty in the e-commerce sector, examining the moderating effect of technological adoption on these crucial relationships. Research design, data and methodology: Employing a robust multi-method approach, the research analyzes data from 481 e-commerce users, leveraging the complementary strengths of partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis(fsQCA). Acomprehensive multi-group analysisis conducted to uncover differences between experienced and non-experienced users. Results: PLS-SEM reveals that service quality significantly influences customer engagement, which in turn drives loyalty. Technological adoption positively moderates the service quality-engagement relationship. The multi-group analysis uncovers notable differences between user segments. fsQCA identifies two distinct configurational paths consistently leading to high customer loyalty: high customer engagement and high service quality. Conclusions: This study's innovative integration of PLS-SEM and fsQCA contributes to a deeper understanding of the intricate dynamics driving e-commerce success. Findings provide actionable insights for e-commerce businesses to enhance service quality, foster engagement, and cultivate loyalty. This research lays the groundwork for further exploration of these critical relationships in different contexts, offering a nuanced perspective on the complex interplay of factors shaping customer behavior in the digital marketplace.

Keywords

Acknowledgement

This study was supported by National Economics University, Hanoi, Vietnam

References

  1. Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423. https://doi.org/10.1037/0033-2909.103.3.411
  2. Aswar, K., & Ermawati. (2021). E-commerce adoption by small medium enterprises: An extensive literature review. Information Management and Business Review, 12(4(I)), 12-18. https://doi.org/10.22610/imbr.v12i4(I).3123
  3. Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588-606. https://doi.org/10.1037/0033-2909.88.3.588
  4. Blut, M. (2016). E-Service Quality: Development of a Hierarchical Model. Journal of Retailing, 92(4), 500-517. https://doi.org/10.1016/j.jretai.2016.09.002
  5. Brislin, R. W. (1970). Back-Translation for Cross-Cultural Research. Journal of Cross-Cultural Psychology, 1(3), 185-216. https://doi.org/10.1177/135910457000100301
  6. Brodie, R. J., Hollebeek, L. D., Juric, B., & Ilic, A. (2011). Customer Engagement: Conceptual Domain, Fundamental Propositions, and Implicationsfor Research. Journal of Service Research, 14(3), 252-271. https://doi.org/10.1177/1094670511411703
  7. Carlson, J., Rahman, M., Voola, R., & De Vries, N. (2018). Customer engagement behaviours in social media: capturing innovation opportunities. Journal of Services Marketing, 32(1), 83-94. https://doi.org/10.1108/JSM-02-2017-0059
  8. Chang, Y.-H., Silalahi, A. D. K., Eunike, I. J., & Riantama, D. (2024). Socio-technical systems and trust transfer in live streaming e-commerce: Analyzing stickiness and purchase intentions with SEM-fsQCA. Frontiers in Communication, 9, 1305409. https://doi.org/10.3389/fcomm.2024.1305409
  9. Chopdar, P. K., Korfiatis, N., Sivakumar, V. J., & Lytras, M. D. (2018). Mobile shopping apps adoption and perceived risks: A cross-country perspective utilizing the Unified Theory of Acceptance and Use of Technology. Computers in Human Behavior, 86, 109-128. https://doi.org/10.1016/j.chb.2018.04.017
  10. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003. https://doi.org/10.1287/mnsc.35.8.982
  11. Diwanji, V. S. (2022). Fuzzy-set qualitative comparative analysis in consumer research: A systematic literature review. International Journal of Consumer Studies. https://doi.org/10.1111/ijcs.12889
  12. Fonseka, K., Jaharadak, A. A., Raman, M., & Dharmaratne, I. R. (2020). Literature review of technology adoption models at firm level; Special reference to e-commerce adoption. Global Journal of Management and Business Research. https://doi.org/10.34257/gjmbrbvol20is6pg1
  13. Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312
  14. Ganie, S. A., & Bhat, M. A. (2023). Impact of e-service quality on customer satisfaction: An empirical assessment. International Journal of Management and Development Studies. https://doi.org/10.53983/ijmds.v12n06.004
  15. Gligor, D. M., Golgeci, I., Rego, C., Russo, I., Bozkurt, S., Pohlen, T., Hiatt, B., & Garg, V. (2022). Examining the use of fsQCA in B2B marketing research: Benefits, current state and agenda for future research. Journal of Business & Industrial Marketing, 37(7), 1542-1552. https://doi.org/10.1108/JBIM-09-2020-0436
  16. Baijal, A., Cannarsi, A., Hoppe, F., Chang, W., Davis, S., and Sipahimalani, R. (2021). e-Conomy SEA 2021. Retrieved from https://www.bain.com/insights/e-conomy-sea-2021/
  17. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Sage.
  18. Hair, J. F., Risher, J.J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203
  19. Henseler, J., & Chin, W. W. (2010). A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling. Structural Equation Modeling: A Multidisciplinary Journal, 17(1), 82-109. https://doi.org/10.1080/10705510903439003
  20. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43, 115-135. https://doi.org/10.1007/s11747-014-0403-8
  21. Heskett, J. L., Jones, T. O., Loveman, G. W., Sasser, W. E., & Schlesinger, L. A. (1994). Putting the Service-Profit Chain to Work. Harvard Business Review, 72(2), 164-174.
  22. Hollebeek, L. D., Glynn, M. S., & Brodie, R. J. (2014). Consumer Brand Engagement in Social Media: Conceptualization, Scale Development and Validation. Journal of Interactive Marketing, 28(2), 149-165. https://doi.org/10.1016/j.intmar.2013.12.002
  23. 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
  24. Ibrahim, I. A., & Abubakar, M. (2016). Technological adoption of e-commerce in Nigeria. International Journal of Innovative Research in Engineering & Management 2(6), 2350-0557. Federal University of Technology Owerri.
  25. Khalifa, M., & Liu, V. (2007). Online consumer retention: contingent effects of online shopping habit and online shopping experience. European Journal of Information Systems, 16(6), 780-792. https://doi.org/10.1057/palgrave.ejis.3000711
  26. Lodeiros-Zubiria, M. L. (2021). Customer engagement behaviour through satisfaction and service quality in digital multi-platform banking:Aproposal from Peru. In A. Rocha, C. Ferras, P. C. Lopez-Lopez, & T. Guarda (Eds.), Information technology and systems. ICITS 2021. Advances in intelligent systems and computing, 1331. Springer, Cham. https://doi.org/10.1007/978-3-030-68418-1_20
  27. Malthouse, E. C., & Calder, B. J. (2015). Creating brand engagement on digital, social and mobile media. In D. Zahay & J. J. Peltier (Eds.), The Routledge companion to digital, social and mobile marketing, 149-169. Routledge. https://doi.org/10.4324/9781315725185-14
  28. Md Sabri, S., Annuar, N., Abdull Rahman, N. L., Syed Abdul Mutalib, S. K., Abd Mutalib, H., & Subagja, I. K. (2022). The e-service quality of e-commerce websites: What do customers look for? Jurnal Intelek. https://doi.org/10.24191/ji.v17i1.16131
  29. Mofokeng, T. E. (2023). Antecedents of trust and customer loyalty in online shopping: The moderating effects of online shopping experience and e-shopping spending. Heliyon, 9(5). https://doi.org/10.1016/j.heliyon.2023.e16182
  30. Nguyen, T. H. Y. (2013). Measuring service quality in the context of higher education in Vietnam. Journal of Economics and Development, 15(3), 77-90. https://doi.org/10.33301/2013.15.03.05
  31. Nunnally, J. C. (1978). Psychometric theory (2nd ed.). McGraw-Hill.
  32. Pansari, A., & Kumar, V. (2017). Customer engagement: the construct, antecedents, and consequences. Journal of the Academy of Marketing Science, 45, 294-311. https://doi.org/10.1007/s11747-016-0485-6
  33. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions ofservice quality. Journal of Retailing, 64(1), 12-40.
  34. Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). E-S-QUAL: A Multiple-Item Scale for Assessing Electronic Service Quality. Journal of Service Research, 7(3), 213-233. https://doi.org/10.1177/1094670504271156
  35. Petty, R. E., & Cacioppo, J. T. (1986). The Elaboration Likelihood Model of Persuasion. In Communication and Persuasion, 1-24. Springer. https://doi.org/10.1007/978-1-4612-4964-1_1
  36. Pham, T. S. H., & Ahammad, M. F. (2017). Antecedents and consequences of online customer satisfaction: A holistic process perspective. Technological Forecasting and Social Change, 124, 332-342. https://doi.org/10.1016/j.techfore.2017.04.003
  37. Phong, L. T., Nga, T. H., Hanh, N. T., & Minh, N. V. (2020). Relationship between brand association and customer loyalty: The case of online retail industry. Management Science Letters, 10, 1543-1552. https://doi.org/10.5267/j.msl.2019.12.012
  38. 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
  39. Pieranski, B., Kawa, A., & Zdrenka, W. (2022). Critical factors of customers loyalty in e-commerce. In E. Szczerbicki, K. Wojtkiewicz, S. V. Nguyen, M. Pietranik, & M. Krotkiewicz (Eds.), Recent challenges in intelligent information and database systems. ACIIDS 2022. Communications in computer and information science, 1716. Springer, Singapore. https://doi.org/10.1007/978-981-19-8234-7_39
  40. Prentice, C., Weaven, S., & Wong, I. A. (2020). Linking AI quality performance and customer engagement: The moderating effect of AI preference. International Journal of Hospitality Management, 90. https://doi.org/10.1016/j.ijhm.2020.102629
  41. Rachmawati, D. Z., & Agus, A. A. (2020). E-service and logistics service quality in e-commerce, study case: Shopee Indonesia. In 2020 3rd International Conference on Computer and Informatics Engineering (IC2IE), 218-223. https://doi.org/10.1109/IC2IE50715.2020.9274597
  42. Ragin, C. C. (2008). Redesigning social inquiry: Fuzzy sets and beyond. University of Chicago Press.
  43. Rita, P., Oliveira, T., & Farisa, A. (2019). The impact of e-service quality and customer satisfaction on customer behavior in online shopping. Heliyon, 5(10). https://doi.org/10.1016/j.heliyon.2019.e02690
  44. Roy, S. K., Singh, G., Sadeque, S., Harrigan, P., & Coussement, K. (2023). Customer engagement with digitalized interactive platforms in retailing. Journal of Business Research, 164. https://doi.org/10.1016/j.jbusres.2023.114001
  45. So, K. K. F., Kim, H., & Oh, H. (2020). What makes Airbnb experiences enjoyable? The effects of environmental stimuli on perceived enjoyment and repurchase intention. Journal of Travel Research, 60(5), 1018-1038. https://doi.org/10.1177/0047287520921241
  46. Soni, P. (2021). Web-store image dimensions and online retail customer loyalty: Investigating mediators and moderators. American Journal of Business, 36(1), 20-34. https://doi.org/10.1108/AJB-08-2020-0133
  47. Thakur, R. (2019). The moderating role of customer engagement experiences in customer satisfaction-loyalty relationship. European Journal of Marketing, 53(7), 1278-1310. https://doi.org/10.1108/EJM-11-2017-0895
  48. Tran, T. P., Lin, C. W., Baalbaki, S., & Guzman, F. (2020). How personalized advertising affects equity of brands advertised on Facebook? A mediation mechanism. Journal of Business Research, 120, 1-15. https://doi.org/10.1016/j.jbusres.2020.06.027
  49. Utami, A. F., Ekaputra, I. A., Japutra, A., & Van Doorn, S. (2022). The role of interactivity on customer engagement in mobile ecommerce applications. International Journal of Market Research, 64(2), 269-291. https://doi.org/10.1177/14707853211027483
  50. Valvi, A. C., & West, D. C. (2013). E-loyalty is not all about trust, price also matters: extending expectation-confirmation theory in bookselling websites. Journal of Electronic Commerce Research, 14(1), 99-123.
  51. Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
  52. Vivek, S. D., Beatty, S. E., & Morgan, R. M. (2012). Customer Engagement: Exploring Customer Relationships Beyond Purchase. Journal of Marketing Theory and Practice, 20(2), 122-146. https://doi.org/10.2753/MTP1069-6679200201
  53. Zakiah, N. P., Aini, E. K., Ferdy, F., Fikri, M. A., & Gan, X. (2024). An empirical assessment of technology adoption model in ecommerce. Proceedings Series on Social Sciences & Humanities. https://doi.org/10.30595/pssh.v15i.946