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The Effect of Untact Shopping Customer Experience on Continuous Use Intention through Expectation-Confirmation Model

언택트 쇼핑의 고객경험이 기대일치 모델을 통해 지속이용의도에 미치는 영향

  • Hong, Suji (Electronics and Telecommunications Research Institute) ;
  • Han, Sang-Lin (Business School, Hanyang University)
  • Received : 2023.05.16
  • Accepted : 2023.05.31
  • Published : 2023.06.30

Abstract

As offline company and online·mobile startups meet in an untact shopping environment, competition among companies in untact shopping is increasing. In this situation, companies need their own clear strategy to create customer value. In particular, it is very important to focus on 'customer experience' to establish such a strategy in an untact shopping environment. Customer experience refers to all processes in which consumers meet and experience a company or brand at a touch point. In this processes consumers decide whether to continue to use the company and brand. In this situation, it is thought that it will be meaningful for research to examine the customer experience of untact shopping. Therefore, this study aimed to examine the customer experience of untact shopping, which is used by all generations after COVID-19, through experience quality, and to examine the impact on the expectation-confirmation Model of untact shopping. The results of this study are as follows. First, as a result of examining whether interaction quality, information quality, and outcome quality affect expectation-confirmation it was found that all qualities except interaction quality affect expectation matching. Second, as a result of examining whether interaction quality, information quality, and outcome quality affect perceived usefulness, it was found that all qualities except interaction quality had an effect. Next, as a result of applying the expectation confirmation model to the untact shopping environment and examining whether the expectation confirmation has an effect on use satisfaction, it was found that there was a positive effect. As a result of examining whether perceived usefulness affects use satisfaction, it was found to have a positive effect. As a result of examining whether perceived usefulness affects expectation confirmation, it was found that there is a positive effect. Finally, as a result of examining whether perceived usefulness affects the intention to continue using untact shopping, it was found to be positive. Next, as a result of examining the effect of use satisfaction on trust, it was found that there was a positive effect. Finally, as a result of investigating whether trust has an effect on the intention to continue using, it was found that there is a positive effect. Looking at the important results especially, information quality was found to have the greatest influence.

기존 유통기업과 플랫폼을 중심으로 한 신생기업들이 언택트 쇼핑에서 만나면서, 언택트 쇼핑 안에서 기업들의 경쟁이 더욱 치열해지고 있다. 이러한 상황에서 기업들은 자사만의 확실한 전략이 필요하다. 언택트 쇼핑에서 전략을 수립하기 위해서는 '고객경험'을 살펴보는 것이 매우 중요하다. 고객경험은 소비자가 기업이나 브랜드 등을 서비스 접점에서 만나 경험하는 모든 과정을 의미한다. 이 과정에서 소비자는 해당 기업과 브랜드를 지속이용 할 것인지를 판단한다. 본 연구는 언택트 쇼핑의 고객경험을 경험 품질을 통해 살펴보고, 기대일치 모델에 미치는 영향을 살펴보고자 하였다. 본 연구의 중요한 결과는 다음과 같다. 첫째 상호작용품질, 정보품질, 결과품질이 기대일치에 영향을 미치는지 살펴본 결과 상호작용품질을 제외한 모든 품질이 기대일치에 영향을 미치는 것으로 나타났다. 둘째 상호작용품질, 정보품질, 결과품질이 지각된 유용성에 영향을 미치는지 살펴본 결과 역시, 상호작용 품질을 제외한 모든 품질이 영향을 미치는 것으로 나타났다. 결과를 살펴보면 정보품질이 가장 크게 영향을 미치는 것으로 나타났다. 이는 언택트 쇼핑을 이용하는 소비자의 기대일치, 지각된 유용성 등을 충족하기 위해서는 정확하고 적합한 정보를 제공하는 것이 가장 중요하다는 것을 알 수 있다. 다음으로 기대일치 모델 내에서 기대일치가 지각된 유용성에 영향을 미치는지 살펴본 결과, 영향을 미치는 것을 알 수 있다. 또한 기대일치가 이용만족에도 영향을 미친다는 것을 알 수 있으며, 지각된 유용성이 이용만족에도 지지 되는 것을 확인 할 수 있다. 따라서 언택트 쇼핑에 관련된 고객경험 전략을 수립할 때 정보품질, 기대일치, 지각된 유용성이 가장 중요한 요인이기 때문에 이를 중심으로 관련된 전략을 수립하는 것이 필요하겠다.

Keywords

References

  1. Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS quarterly, 25(3), 351-370. https://doi.org/10.2307/3250921
  2. Bilgihan, A. (2016). Gen Y customer loyalty in online shopping: An integrated model of trust, user experience and branding. Computers in human behavior, 61, 103-113. https://doi.org/10.1016/j.chb.2016.03.014
  3. Chan, J.K., and Baum, T.(2007). Ecotourists' perception of ecotourism experience in lower Kinabatangan, Sabah, Malaysia. Journal of sustainable tourism, 15(5), 574-590. https://doi.org/10.2167/jost679.0
  4. Chen, C.F., and Chen, F.S. (2010). Experience quality, perceived value, satisfaction and behavioral intentions for heritage tourists. Tourism Management, 31(1), 29-35. https://doi.org/10.1016/j.tourman.2009.02.008
  5. Chiang, C.T. (2023). Engraving customer experiences through digital technologies. Journal of Services Marketing, 37(5), 671-685. https://doi.org/10.1108/JSM-05-2022-0164
  6. Choi, J. (2021). A Study on the Change of Publishing Trend of the Post-COVID Age, Global Cultural Contents, 46, 115 -133. https://doi.org/10.32611/jgcc.2021.2.46.115
  7. Dehghani, M.(2018). Exploring the motivational factors on continuous usage intention of smartwatches among actual users. Behaviour and Information Technology, 37(2), 145-158. https://doi.org/10.1080/0144929X.2018.1424246
  8. Fung, R., and Lee, M. (1999). EC-trust (trust in electronic commerce): exploring the antecedent factors. Amcis. 517-519.
  9. Guo, Y., Barnes, S., and Le-Nguyen, K.(2015). Consumer acceptance IT products: An integrative expectation-confirmation model. Paper presented at the Twenty-first Americas Conference on Information Systems 1-9.
  10. Kim, S., and 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://doi.org/10.1016/j.ijinfomgt.2012.11.006
  11. Kim, B.(2018). Understanding the role of conscious and automatic mechanisms in social networking services: a longitudinal study. International Journal of Human-Computer Interaction, 34(9), 805-818. https://doi.org/10.1080/10447318.2017.1392079
  12. Kim, S., Park, S. and Kim, C.(2019), A Study on the Factors Forming the Intention to Continuously Use the Easy Payment through the Expectation-Confirmation Model, Service Management Journal Research Trend Analysis, 20(2), 185-203. https://doi.org/10.15706/jksms.2019.20.2.009
  13. Kim, H. and Yoon, S.(2020), Causal Relationships among Automobile Attribute Evaluation, Brand Value, and Repurchase Intention Based on Expectation Disconfirmation Theory, Journal of Product Research, 38(4), 149-157.
  14. Kim, H.(2022). Customer Dreaming Next Level, Donga business review, 354(1).
  15. Kim, N., Jeon, M., Choi, J., Lee, H., Lee, J., Lee, S., Seo, Y., Kwon, J. and Han, H.(2022). Consumer Trend Insights, miraebook, miraebook.
  16. Kim, S.(2022). [Where is the distribution industry going in the era of the pandemic?] e-commerce, services like this and that].Where is the differentiation, Metro. News article, 2022.11.08.
  17. Kumar, A., and Anjaly, B. (2017). How to measure post-purchase customer experience in online retailing? A scale development study. International Journal of Retail and Distribution Management. 45(12), 1277-1297. https://doi.org/10.1108/IJRDM-01-2017-0002
  18. Lee, J., Jung, C., and Kim, N.(2019). Effect of characteristics of YouTube tourism contents on confirmation, perceived usefulness, satisfaction and loyalty : Application of the Expectation-Confirmation Model(ECM), International Journal of Tourism and Hospitality Research, 34(8), 47-69. https://doi.org/10.21719/IJTMS.34.8.3
  19. Lee, J.(2020), A Study on the Prediction of OTT Service Continuance Intention by Integrating Extended Expectation-Confirmation Model and Information System Success Model, Ph.D Thesis Chung-Ang University.
  20. Lim, S. H., Kim, D. J., Hur, Y., and Park, K. (2019). An empirical study of the Impacts of perceived security and knowledge on continuous intention to use mobile fintech payment services. International Journal of Human-Computer Interaction, 35(10), 886-898. https://doi.org/10.1080/10447318.2018.1507132
  21. Morgan, R. M. and Hunt, S. D.(1994). The commitment-trust theory of relationship marketing, Journal of marketing, 58(3), pp 20-38. https://doi.org/10.1177/002224299405800302
  22. Nguyen, D. M., Chiu, Y. T. H., and Le, H. D.(2021). Determinants of continuance intention towards banks' chatbot services in Vietnam: A necessity for sustainable development. Sustainability, 13(14), 25-76. https://doi.org/10.3390/su13147625
  23. Obal, M.(2017). What drives Post-adoption usage? investigating the negative and positive antecedents of disruptive technology continuous adoption intentions. Industrial Marketing Management, 63, 42-52. https://doi.org/10.1016/j.indmarman.2017.01.003
  24. Oliver, R.L.(1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469. https://doi.org/10.1177/002224378001700405
  25. Pal, D., Funilkul, S., and Papasratorn, B. (2019). Antecedents of trust and the continuance intention in IoT-based smart products: The case of consumer wearables. IEEE Access, 7, 184160-184171. https://doi.org/10.1109/ACCESS.2019.2960467
  26. Pareigis, J., Edvardsson, B., and Enquist, B. (2011). Exploring the role of the service environment in forming customer's service experience. International Journal of Quality and Service Sciences, 3(1), 110-124. https://doi.org/10.1108/17566691111115117
  27. Park, J., Kim, J., and Koh, J.(2010). Determinants of continuous usage intention in web analytics services. Electronic Commerce Research and Applications, 9(1), 61-72. https://doi.org/10.1016/j.elerap.2009.08.007
  28. Pradana, B. P.(2022). Investigating the Repurchase Intention of E-Commerce Users from Service Quality and Expectation-Confirmation Theory Perspective. Jurnal Informasi dan Teknologi, 127-135.
  29. Rahi, S., Alghizzawi, M. and Ngah, A. H. (2022). Factors influence user's intention to continue use of e-banking during COVID-19 pandemic: the nexus between self-determination and expectation confirmation model. EuroMed Journal of Business. https://doi.org/10.1108/EMJB-12-2021-0194. Emerald Insight.
  30. Rieh, S. Y.(2002). Judgment of information quality and cognitive authority in the web. Journal of the American Society for Information Science and Technology, 53(2), 145-161. https://doi.org/10.1002/asi.10017
  31. Rose, S., Clark, M., Samouel, P., and Hair, N.(2012). Online customer experience in e-retailing: an empirical model of antecedents and outcomes. Journal of Retailing, 88(2), 308-322. https://doi.org/10.1016/j.jretai.2012.03.001
  32. San-Martin, S., Prodanova, J., and Jiminez, 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
  33. Shao, Z., Zhang, L., Li, X., and Guo, Y. (2019). Antecedents of trust and continuance intention in mobile payment platforms: The moderating effect of gender. Electronic Commerce Research and Applications, 33, 1-10. https://doi.org/10.1016/j.elerap.2018.100823
  34. Shukla, M., Misra, R., and Singh, D.(2022). Exploring relationship among semiotic product packaging, brand experience dimensions, brand trust and purchase intentions in an Asian emerging market. Asia Pacific Journal of Marketing and Logistics.
  35. Singh, J., and Sirdeshmukh, D.(2000). Agency and trust mechanisms in consumer satisfaction and loyalty judgments. Journal of the Academy of Marketing Science, 28(1), 150-167. https://doi.org/10.1177/0092070300281014
  36. Verplanken, B., and Orbell, S.(2019). Habit and behavior change. Social psychology in action: Evidence-based interventions from theory to practice, 65-78.
  37. Wijaya, I., Rai, A., and Hariguna, T.(2019). The impact of customer experience on customer behavior intention use in social media commerce, an extended expectation confirmation model: An empirical study. Management Science Letters, 9(12), 2009-2020. https://doi.org/10.5267/j.msl.2019.7.005
  38. Wu, H. C., and Li, T.(2017). A study of experiential quality, perceived value, heritage image, experiential satisfaction, and behavioral intentions for heritage tourists. Journal of Hospitality and Tourism Research, 41(8), 904-944. https://doi.org/10.1177/1096348014525638
  39. Wu, H.C., Cheng, C.C., and Ai, C.H.(2018). A study of experiential quality, experiential value, trust, corporate reputation, experiential satisfaction and behavioral intentions for cruise tourists: The case of hong kong. Tourism Management, 66, 200-220. https://doi.org/10.1016/j.tourman.2017.12.011
  40. Wu, H.C., Cheng, C.C., Chen, Y.C., and Hong, W.(2018). Towards green experiential loyalty. International Journal of Contemporary Hospitality Management. 30(3), 1374-1397. https://doi.org/10.1108/IJCHM-10-2016-0596
  41. Zarantonello, L., and Schmitt, B. H.(2010). Using the brand experience scale to profile consumers and predict consumer behaviour. Journal of Brand Management, 17(7), 532-540. https://doi.org/10.1057/bm.2010.4