Asia-Pacific Journal of Business Venturing and Entrepreneurship (벤처창업연구)

The Korean Society of Business Venturing (한국벤처창업학회)
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A Study on User Satisfaction and Continuity Usage Intention in the Automotive Industry: Focusing on the Expectation Confirmation Model

자동차 산업에서의 사용자만족과 지속사용의도에 관한 연구: 기대일치모형을 중심으로

  • Han, Sang In (Department of Business Administration at Honam University) ;
  • Chang, Seog Ju (Department of Business Administration at Honam University)
  • Received : 2021.09.06
  • Accepted : 2021.10.23
  • Published : 2021.10.31
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Abstract

Environmental changes, which are strongly requiring technological cooperation, such as technological development and strategic alliances according to industrial ecosystem change, have a significant impact on not only product quality but also services. Thus, there is a need for 'servitization' that can satisfy the needs of customers and the ecosystem of businesses through the convergence of manufacturing companies and services. This study uses the Expectation-Confirmation Model to examine the impact on user satisfaction and Continuance Usage Intention. Research(Study) was conducted on users who are using high-tech-based cars. For this, we used Expectation Confirmation(match expections for the user's pre-and post-use relationships), Perceived Ease, Perceived Usefulness, User Satisfaction and Habitual Use and using Continuance Usage Intention as a dependent variable. Their causation was examined with the spss 26.0 and smartpls 2.0 statistical programs. As implications of this study, Expectation Confirmation has been shown to have significant positive effects on Perceived Ease, Perceived Usefulness, User Satisfaction and Habitual Use. For this results, the expectations before and after the use of high-tech cars lead to improved daily lives convenience and(or) work efficiency, leading to user satisfaction and further Continuance Usage Intention. Motors consider it important to pursue the work improvements that consumers want and use it useful in daily lives in the production and sale of high-tech cars. It is expected that it will create natural habits for services that users are satisfied with, and that these habits will affect the continuous growth and understanding of the trend of change.

기술 발전과 산업 생태계 변화로 고객의 욕구를 만족시킬 수 있는 서비타이제이션(servitization)의 필요성이 강조되고 있다. 본 연구는 첨단기술이 융합된 자동차를 이용하고 있는 사용자의 사용전 기대와 사용 후 만족이 지속사용의도에 어떠한 영향을 주는지 살펴보기 위해 기대일치모형(Expectation Confirmation Model)을 적용하여 연구하였다. 본 연구의 목적은 첨단기술기반 자동차와 관련된 제품과 서비스를 제공하는 기업이 연관 기관과 협력하여 빠르게 변화하는 기술과 환경을 소비자에게 전달할 수 있도록 기초자료를 제공하는데 있다. 연구의 목적을 달성하기 위해 첨단기술이 포함된 자동차를 이용하는 사용자를 대상으로 자료를 수집하였고 수집된 자료의 분석은 SPSS 26.0 프로그램과 SMART PLS 2.0의 통계패키지를 이용하여 가설을 검증하고 논리적 근거를 알아보았다. 이에 본 연구는 사용자의 사용 전, 후 관계에 대한 기대일치(Expectation Confirmation), 지각된 용이성(Perceived Ease), 지각된 유용성(Perceived Usefulness), 사용자만족(User Satisfaction), 습관적 이용(Habitual Use), 지속사용의도(Continuance Usage Intention)를 사용하여 모델을 구성하였고, 가설 검증결과 모두 유의미한 영향을 미치는 것으로 검증되었다. 첨단기술을 접목한 자동차의 사용은 일상생활의 편의와 업무능률의 향상을 가져오며, 사용자의 만족과 더 나아가 지속사용의도로 이어지는 것으로 조사되었다. 본 연구의 시사점으로 새로운 자동차 시장의 확대와 더 편리한 기능, 많은 기능을 가진 자동차를 쉽고 편리하게 사용할 수 있도록 자동차 회사와 연관 기관의 지속적인 성장과 변화의 흐름을 파악하는데 영향을 줄 것으로 기대한다.

Keywords

References

  1. Agarwal, R., & Karahanna, E.(2000). Time Files When You're Having Fun: Cognitive Absorption and Beliefs about Information Technology. MIS Quarterly, 24(4), 665-694. https://doi.org/10.2307/3250951
  2. Ajzen, I., & Fishbein, M.(1980). Understanding Attitudes and Predicting Social Behavior. Englewood Cliffs, NJ: Prentice-Hall, Inc.
  3. An, S. J.(2020). A Study on the Factors Affectingthe Intention to Continuous Use of Digital Content OTT(Over-the-Top)Service. Doctoral Dissertation, The Graduate School of Soongsil University, Korea.
  4. Ayala, F. N., Paslauski, C. A., Ghezzi, A., & Frank, A. G.(2017). Knowledge sharing dynamics in service suppliers' involvement for servitization of manufacturing companies. International Journal of Production Economics, 193, 538-553. https://doi.org/10.1016/j.ijpe.2017.08.019
  5. Baik, J. S.(2019). A Study on the Establishment of Automobile Logistics Cluster in Pyeongtaek Dangjin Port. Journal of Korea Port Economic Association, 35(4), 147-168. https://doi.org/10.38121/kpea.2019.12.35.4.147
  6. Baines, T., Bigdeli, A. Z., Bustinza, O, F., Shi, V. G., Baldwin, J., & Ridgway, K.(2016). Servitization: Revisiting the State-of-the-art and Research Priorities. International Journal of Operations and Production Management, 37(2), 256-278. https://doi.org/10.1108/IJOPM-06-2015-0312
  7. Barnes, S. J., & Bohringer, M.(2011). Modeling use continuance behavior in microblogging services: The case of Twitter. Journal of Computer Information Systems, 51(4), 1-10.
  8. Bhattacherjee, A., & Clive S.(2006). Influence Processes for Information Technology Acceptance: An Elaboration Likelihood Model. MIS quarterly, 30(4), 805-825. https://doi.org/10.2307/25148755
  9. Bhattacherjee, A.(2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370. https://doi.org/10.2307/3250921
  10. Bhattacherjee, A., & Premkumar. G.(2004). Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS Quarterly, 28(2), 351-370.
  11. Chang, Y. P., & Zhu, D. H.(2012). The role of perceived social capital and flow experience in building users' continuance intention to social networking sites in China. Computers in Human Behavior, 28(3), 995-1001. https://doi.org/10.1016/j.chb.2012.01.001
  12. Chin, W. W.(1998). The Partial Least Squares Approach to Structural Equation Modeling, in Marcoulides. G. A.(Eds), Modern Methods for Business Research. Lawrence Eelbaum Associates, Mahwah, NJ.
  13. Chin, W. W., Marcolin, B. L., & Newsted, P. R.(2003). A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study. Information Systems Research, 14(2), 189-217. https://doi.org/10.1287/isre.14.2.189.16018
  14. Choi, S. J.(2013). Determinants of User Perceived Value and Its Influence on the Usage of Smartphone-based Mobile Commerce: Focusing on Service Ubiquity and User Control. The Journal of Society for e-Business Studies, 18(4), 273-299. https://doi.org/10.7838/JSEBS.2013.18.4.273
  15. Chung, B. G., & Dong, H. L.(2019). Influential Factors on Technology Acceptance of Augmented Reality(AR). Asia-Pacific Journal of Business Venturing and Entrepreneurship, 14(3), 153-168. https://doi.org/10.16972/apjbve.14.3.201906.153
  16. Danner, U. N., Aarts, H., & Vries, N. K.(2008). Habit vs. intention in the prediction of future behaviour: The role of frequency, context stability and mental accessibility of past behaviour. British Journal of Social Psychology, 47(2), 245-265. https://doi.org/10.1348/014466607X230876
  17. Davis, F. D.(1989). Perceived Usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-339. https://doi.org/10.2307/249008
  18. De, Guinea, A. O., & Markus, M. L.(2009). Why Break the Habit of a Lifetime? Rethinking the Roles of Intention, Habit, and Emotion in Continuing Information Technology Use. MIS Quarterly, 33(3), 433-444. https://doi.org/10.2307/20650303
  19. Featherman, M. S., & Pavlou, P. A.(2003). Predicting E-services Adoption: A Perceived Risk Facets Perspective. International Journal of Human-Computer Studies, 59(4), 451-474. https://doi.org/10.1016/S1071-5819(03)00111-3
  20. Fishbein, M., & Ajzen, I.(1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, Addision Wesley, Reading, MA.
  21. Fornell, C. R., & Larcker, D. F.(1981). Sturctural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(3), 312-325.
  22. Gaiardelli, P., Songini, L., & Saccani, N.(2014). The Automotive Industry: Heading Towards Servitization in Turbulent Times. Servitization in Industry, 55-72.
  23. Gatian, A. W.(1994). IS user Satisfaction a Valid Measure of Systems Effectiveness?, Information and Management. 26(3), 119-131. https://doi.org/10.1016/0378-7206(94)90036-1
  24. Gefen, D.(2003). TAM or Just Plain Habit: A Look at Experienced Online Shoppers. Journal of End User Computing, 15(3), 1-13. https://doi.org/10.4018/joeuc.2003070101
  25. Gefen, D., Karahanna, E., & Straub, D. W.(2003). Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 27(1), 51-90. https://doi.org/10.2307/30036519
  26. Hong, S., Thong, J. Y. L., & Tam, K. Y.(2006). Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet. Decision support systems, 42(3), 1819-1834. https://doi.org/10.1016/j.dss.2006.03.009
  27. Hwang, S. J.(2021). Technological advancement and the future of the automobile industry. Korea Labor Institute International Labor Brief, 19(3), 3-6.
  28. Jung, J. H., Shin, J. I., & Chung, K. H.(2017). A Study on Satisfaction and Integrated Loyalty for Smartphone Use in Expectation-Confirmation Model(ECM). The Journal of Internet Electronic Commerce Research, 17(4), 1-18. https://doi.org/10.1007/s10660-017-9252-0
  29. Keiningham, T. L., Perkins M. T., & Evans, H.(2003). The impact of customer satisfaction on share of wallet in a business-to-business environment. Journal of Service Research, 6(1), 37-50. https://doi.org/10.1177/1094670503254275
  30. Kim, C. H., & Lee, H. B.(2020). Corona 19 and the Future of the Automotive Industry: Focusing on the Korean automobile industry. Journal of Culture Industry, 20(3), 75-84.
  31. Kim, D. H.(2014). Product-centric servitization in automobile industry. Doctoral Dissertation, The Graduate School of Seoul National University.
  32. Kim, D. H., & Park, N. K.(2016). Effects of OTT Service Users' Use Motivations on Satisfaction and Intention of Continued Use. Journal of Broadcasting and elecommunications Research, 93, 77-110.
  33. Kim, H. J., & Kim, H. G.(2021). A Study on the Activation Plan for Regional Industry Ecosystem Using AHP Technique: Focused on the Automobile Industry in Gwangju. Journal of the Korea Convergence Society, 12(2), 259-269. https://doi.org/10.15207/JKCS.2021.12.2.259
  34. Kim, H. J., & Park, S. K.(2017). Policy Measures to Promote Eco-Friendly Vehicle Industry in Korea. Journal of Climate Change Research, 8(1), 41-50. https://doi.org/10.15531/KSCCR.2017.8.1.41
  35. Kim, S. A., & Lee, C. W.(2020). The Effect about the Buyer's Attributes of Servitization on Customer Satisfaction & Repurchase Intention in the Automobile Industry. Korean Business Education Review, 35(3), 233-253. https://doi.org/10.23839/kabe.2020.35.3.233
  36. Kim, S. J., Park, S. M., & Kim, C. B.(2019). A Study on the Factors Forming the Intention to Continuously Use the Easy Payment through the Expectation-Confirmation Model. Journal of Korea Service Management Society, 20(2), 185-203. https://doi.org/10.15706/jksms.2019.20.2.009
  37. Koufaris, M.(2002). Applying the technology Acceptance Model and Flow Theory to Online Consumer Behavior. Information Systems Research, 13(2), 205-223. https://doi.org/10.1287/isre.13.2.205.83
  38. Lankton, N. K., Wilson, E. V., & En, M.(2010). Antecedents and Determinants of Information Technology Habit. Information & Management, 47(5-6), 300-307. https://doi.org/10.1016/j.im.2010.06.004
  39. Lee, J. C.(2012). Analysis on the Mediator Effects of Ease of Use, Usefulness and Switching Barrier on Customer Satisfaction in Context of Service Quality of Smart phone. Journal of Business Research, 27(4), 175-198. https://doi.org/10.22903/JBR.2012.27.4.175
  40. Lee, J. E., & Sung, D. K.(2017). The Study on the Factors Influencing on the Behavioral Intention of Free Mobile Video Service: Focusing on the UTAUT2. Journal of Communication Research, 54(1), 258-313. https://doi.org/10.22174/jcr.2017.54.1.258
  41. Lee, J. S.(2020). A Study on the Prediction of OTT Service Continuance Intention by ntegrating Extended Expectation-Confirmation Model and Information System Success Model. Doctoral Dissertation, The Graduate School of Chung-Ang University.
  42. Lee, T. W.(2018). A study on the relationship between perceived service level, customer satisfaction and customer loyalty in automobile industry's servitization. Doctoral Dissertation, The Graduate School of Seoul National University.
  43. Lee, Y. A., & Ha, K. S.(2020). A Study on the Influence of Social Media Experience andInfluencer on Consumer Satisfaction and Purchase Intention. Asia-Pacific Journal of Business Venturing and Entrepreneurship, 15(2), 171-181. https://doi.org/10.16972/APJBVE.15.2.202004.171
  44. Limayem, M., & Cheung, C. M. K.(2008). Understanding information systems continuance: The case of Internet-based learning technologies. Information & Management, 45(4), 227-232. https://doi.org/10.1016/j.im.2008.02.005
  45. Limayem, M., Hirt S., & Cheung, C. M. K.(2007). How Habit Limits the Predictive Power of Intention: the Case of Information Systems Continuance, MIS Quarterly. 31(4), 705-737. https://doi.org/10.2307/25148817
  46. Mahut, F., Daaboul, J., Bricogne, M., & Eynard, B.(2017). Product-Service Systems for servitization of the automotive industry: a literature review. International Journal of Production Research, 55(7), 2102-2120. https://doi.org/10.1080/00207543.2016.1252864
  47. Martinez, L. F., Zeelenberg, M., & Rijsman, J. B.(2011). Regret, disappointment and the endowment effect. Journal of Economic Psychology, 32(6), 962-968. https://doi.org/10.1016/j.joep.2011.08.006
  48. Oh, J. C., Yoon, S. j., & Wu, Y.(2010). A Study on Factors of Intention toward Using Mobile Internet Service :Revised TRAM, Journal of the Korea Service. Managemant Society, 11(5), 127-148. https://doi.org/10.15706/jksms.2010.11.5.006
  49. Oliver, R. L.(1980). A Cognitive Model of the Antecedents and Consequences of Satisfaction Decision. Journal of Marketing Research, 17(4), 460-469. https://doi.org/10.2307/3150499
  50. Oliver, R. L.(1993). Cognitive, affective, and attribute bases of the satisfaction response. Journal of Consumer Research, 20(3), 418-430. https://doi.org/10.1086/209358
  51. Oliver, R. L.(1999). Whence consumer loyalty?. Journal of Marketing, 63(4), 46-63. https://doi.org/10.1177/00222429990634s105
  52. Parasuraman, A., Zeithaml, V. A., & Berry, L. L.(1994). Reassessment of Expectations as a Comparison Standard in Measuring Service Quality: Implication for Further Research. Journal Marketing, 58(1), 111-124. https://doi.org/10.2307/1252255
  53. Park, K. H.(2013). A Study on the Integration of Habit Variable into Expectation-Confirmation Model: the Case of General Portals. Journal of Business Research, 28(1), 85-108. https://doi.org/10.22903/JBR.2013.28.1.85
  54. Park, M. K.(2012). The Effects of Interdependence, Familiarity of Colleague and Usefulness on Learning Attitude and Learning Satisfaction in University class Adopting Social Medi. Master thesis, The Graduate School of Konkuk University.
  55. Raja, J. Z., Boume, D., Gofffin, K., Cakkol, M., & Martinez, V.(2013). Achieving Customer Satisfaction through Integrated Products and Services: An Exploratory Study. The Journal of Product Innovation Management, 30(6), 1128-1144. https://doi.org/10.1111/jpim.12050
  56. Ren, G., & Gregory, M. J.(2007). Servitization in Manufacturing Companies: A Conceptualization, Critical Review and Research Agenda. San Francisco, USA, Frontiers in Service Conference.
  57. Roca, J. C., Chiu, C. M., & Martinez, F. J.(2006). Understanding e-learning continuance intention: An extension of the technology acceptance model. International Journal of Human-Computer Studies, 64(8), 683-696. https://doi.org/10.1016/j.ijhcs.2006.01.003
  58. Sabbaghaa, O., Rahman, M, N, N., Ismail, W, R., & Hussain, W, M, H, W.(2016). Impact of Quality Management Systems and After-sales Key Performance Indicators on Automotive Industry: A Literature Review. Procedia-Social and Behavioral Sciences, 224, 68-75. https://doi.org/10.1016/j.sbspro.2016.05.401
  59. Son, Y. H.(2005). Mediating Effect of Consumption Emotion to Customer Satisfaction/Dissatisfaction. Journal of Consumer Studies, 16(1), 1-32.
  60. Song, H. H.(2020). Roles of Stakeholders for Automotive Industry to Cope with the GHG Emission Standards. Auto Journal, 42(5), 13-15.
  61. Sousa, R., & Silveira, G. J. C. D.(2019). The relationship between servitization and product customization strategies. International Journal of Operations & Production Management, 39(3), 454-474. https://doi.org/10.1108/IJOPM-03-2018-0177
  62. Thong, J. Y. L., Hong, S. J., & Tam, K. Y.(2006). The effects of post-adoption beliefs on the expectation confirmation model for information technology continuance. International Journal Human-Computer Studies, 64(9), 799-810. https://doi.org/10.1016/j.ijhcs.2006.05.001
  63. Vandermerwe, S., & Rada J.(1988). Servitization of business: Adding value by adding services. European Management Journal, 6(4), 314-324. https://doi.org/10.1016/0263-2373(88)90033-3
  64. 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
  65. Venkatesh, V., Thong, J. Y., & Xu, X.(2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157-178. https://doi.org/10.2307/41410412
  66. Yeh, Y. S., & Li, Y. M.(2009). Building trust in m-commerce: Contributions from quality and satisfaction. Online Information Review, 33(6), 1066-1086. https://doi.org/10.1108/14684520911011016
  67. Yoo, H. M.(2017). A Study of the Nonlinear Relationship between Customer Satisfaction and Repurchase Intension. Journal of Channel and Retailing, 22(3), 19-38. https://doi.org/10.17657/jcr.2017.07.31.2
  68. Zhou, T.(2013). An empirical examination of continuance intention of mobile payment services. Decision Support System, 54(2), 1085-1091. https://doi.org/10.1016/j.dss.2012.10.034