디지털융복합연구 (Journal of Digital Convergence)

  • 제20권5호
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  • Pages.525-535
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  • 2022
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  • 2713-6434(pISSN)
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  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
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게임의 지속적 이용에 영향을 미치는 요인에 대한 실증적 연구

An Empirical Study on the Factors Affecting Continuous Usage Intention of Games

  • 김한민 (성균관대학교 경영연구소) ;
  • 김종욱 (성균관대학교 경영전문대학원) ;
  • 박상철 (대구대학교 경영학부)
  • 투고 : 2022.03.30
  • 심사 : 2022.05.20
  • 발행 : 2022.05.28
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초록

본 연구의 목적은 게임에서 이용자가 게임을 지속적으로 이용하는데 영향을 주는 주요 영향 요인을 찾고자 하는 것이다. 이를 위하여 가치, 기대일치, 지각된 즐거움의 독립변수들이 이용자 만족과 지속이용의도 종속변수에 영향을 미치는 연구모델과 가설을 개발하였다. 104명의 게임 이용자들을 대상으로 설문을 실시하였으며 구조방정식 분석 프로그램인 Partial Least Square 분석도구를 이용하여 확인적 요인분석과 가설검증을 실시하였다. 가설검증 결과, 기대일치는 만족에 영향을 미치고, 다시 만족은 지속이용의도에 영향을 미치는 것으로 나타났다. 지각된 즐거움은 만족에 정의 영향을 크게 미치는 것으로 조사되었다. 또한 만족은 기대일치, 지각된 즐거움과 지속 이용 의도 사이에서 완전매개를 수행하여 지속적 이용을 위해서는 이용자 만족이 핵심적 역할을 수행함을 보여 주었다. 이는 게임 업체들에게 이용자 만족을 통하여 지속적 이용이 일어난다는 중요한 시사점을 제공한다. 이러한 관점에서 본 연구 결과의 응용분야는 게임산업 전반과 게임 제작사들이 해당된다. 또한 마케팅과 정보기술 분야의 핵심 연구변수들을 도입하여 게임 산업에서 가장 중요한 지속이용의도를 설명한 것이 본 연구의 가장 큰 기여도와 차별성이라 할 수 있다.

The purpose of this study is to identify the factors influencing the user's continuous usage intention of computer games. A research model was developed which shows that the independent variables of value, expectation confirmation, perceived enjoyment affect user satisfaction and continuous usage intention. To test the six hypotheses, survey data were collected from 104 respondents, and hypotheses tests as well as a confirmatory factor analysis were conducted using a partial least square analysis tool. The statistical analysis result showed that expectation confirmation had a significant positive effect on satisfaction, and satisfaction also had a strong positive effect on the game user's continuous usage intention. Perceived enjoyment showed a highly strong positive effect on satisfaction. In addition, satisfaction was found to have full mediation effects in the relationship between expectation confirmation and continuous usage intention, and perceived enjoyment and continuous usage intention respectively. This result provides an important implication that continuous usage intention occurs through user satisfaction, and also indicates the contribution of this study for the game industry. Another contribution of this study is to introduce critical independent variables from the marketing and information technology domains in order to explain continuous usage intention of computer games.

키워드

참고문헌

  1. Korean Creative Content Agency. (2021). White Paper on Korean Games.
  2. New Daily Economy. (202.0. 9. 18). The Acceleration of Collapse of Small-and-Medium Game Companies. https://biz.newdaily.co.kr/site/data/html/2020/09/18/2020091800095.html
  3. J-H. Lee & H-J. Youn. (2009). A Study on Factors of the Assessment and Playing a Game Affecting the Reusability-In the Context of the Two of FPS Games. Journal of The Korean Society for Computer Game, 9(6), 69-77.
  4. M. Fishbein & I. Ajzen. (1975). Belief, Attitude, Intention and Behavior: An Introduction to theory and research, Reading, MA : Addison-Wesley.
  5. R. L. Oliver. (1980). A Cognitive Model for the Antecedents and Consequences of Satisfaction Decisions. Journal of Marketing Research, 17(4), 460-469. DOI : 10.2307/3150499
  6. V. A Zeithaml. (1988). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence. Journal of Marketing, 52(3), 2-22. DOI : 10.2307/1251446
  7. F. D. Davis. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340. DOI : 10.2307/249008
  8. A. Bhattacherjee. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351-370. DOI : 10.2307/3250921
  9. J. J. Cronin & M. K. Brady, R. R. Brand, R. Hightower Jr. & D. J. Shemwell. (1997). A Cross-Sectional Test of the Effect and Conceptualization of Service Value. Journal of Services Marketing, 11(6), 375-391. DOI : 10.1108/08876049710187482
  10. W. B. Dodds, K. B. Monroe & D. Grewal. (1991). Effects of Price, Brand, and Store Information on Buyers' Product Evaluations. Journal of Marketing Research, 28(3), 307-319. DOI : 10.1177/002224379102800305
  11. J. C. Anderson & J. A. Narus. (1998). Business Marketing: Understand What Customers Value, Harvard Business Review, November-December, 5-15.
  12. K. Albrecht. (1992). The Only Thing That Matters. Executive Excellence, 9(November), 7.
  13. S-H. Kim & S-H. Kim. (2002). The Determinants of Repurchase Intentions in the Service Industry: Customer Value, Customer Satisfaction, Switching Costs, and Attractiveness of Alternatives. Korean Journal of Marketing, 17(2), 25-55.
  14. P. K. Hellier, G. M. Geursen, R. A. Carr & J. A. Rickard. (2003). Customer Repurchase Intention: A General Structural Equation Model. European Journal of Marketing, 37(11/12), 1762-1800. DOI : 10.1108/03090560310495456
  15. P. G. Patterson & R. A. Spreng. (1997). Modelling the Relationship between Perceived Value, Satisfaction and Repurchase Intentions in a Business-to-Business, Services Context: An Empirical Examination. International Journal of Service Industry Management, 8(5), 414-434. DOI : 10.1108/09564239710189835
  16. T-C. Lin, S. Wu, J. S-C. Hsu & Y-C. Chou. (2012). The Integration of Value-Based Adoption and Expectation-Confirmation Models: An Example of IPTV Continuance Intention. Decision Support Systems, 54(1), 63-75. DOI : 10.1016/j.dss.2012.04.004
  17. J. S. Lee & S. Y. Jang. (2003). Users' Acceptance of Information Systems in Extended Technology Acceptance Model. Korean Management Review, 32(5), 1415-1451.
  18. S. Kim, H. Park & B. Kim. (2021). Impacts of Perceived Value and Trust on Intention to Continue Use of Individuals' Cloud Computing: The Perception of Value-based Adoption Model, Journal of Digital Convergence, 19(1), 77-88. DOI : 10.14400/JDC.2021.19.1.077
  19. R. L. Oliver. (1977). Effect of Expectation and Disconfirmation on Postexposure Product Evaluations: An Alternative Interpretation. Journal of Applied Psychology, 62(4), 480-486. DOI : 10.1037/0021-9010.62.4.480
  20. R. L. Oliver & W. S. DeSarbo, (1988). Response Determinants in Satisfaction Judgments, Journal of Consumer Research, 14(4), 495-507. DOI : 10.1086/209131
  21. G. G. V. Ryzin. (2006). Testing the Expectancy Disconfirmation Model of Citizen Satisfaction with Local Government, Journal of Public Administration Research and Theory, 16(4), 599-611. DOI : 10.1093/jopart/mui058
  22. Y. S. Lee & S. H Kim. (2013). Effect of Expectation Disconfirmation on the Success of Movies: An Empirical Validation at Market Level. Korean Journal of Marketing, 28(1), 45-71.
  23. C. S. Lin, S. Wu & R. J. Tsai. (2005). Integrating Perceived Playfulness into Expectation-Confirmation Model for Web Portal Context. Information & Management, 42(5), 683-693. DOI : 10.1016/j.im.2004.04.003
  24. J. Y. L. Thong, S-J. Hong, K. Y. Tam. (2006). The Effects of Post-Adoption Beliefs on the Expectation-Confirmation Model for Information Technology Continuance. International Journal of Human-Computer Studies, 64(9), 799-810. DOI : 10.1016/j.ijhcs.2006.05.001
  25. R. W. Stone & L. Baker-Eveleth. (2013). Students' Expectation, Confirmation, and Continuance Intention to Use Electronic Textbooks. Computers in Human Behavior, 29(3), 984-990. DOI : 10.1016/j.chb.2012.12.007
  26. S. Choi. (2013). An Empirical Study of Social Network Service (SNS) Continuance: Incorporating the Customer Value-Satisfaction-Loyalty Model into the IS Continuance Model. Asia Pacific Journal of Information Systems, 23(4), 2013, 1-28. DOI : 10.14329/apjis.2013.23.4.001
  27. H-J. Kim & J-Y. Rha. (2016). The Study of Moderated Mediating Model on SEM: Focusing on Expectancy Disconfirmation, Satisfaction and Continuous Usage Intention of LBS Application. Journal of Digital Convergence, 14(6), 119-132. DOI : 10.14400/JDC.2016.14.6.119
  28. J. Kim, S. K. Shin, B-G. Kim. (2004). An Empirical Study of the Influence of Expectation, Perceived Performance, and Disconfirmation on Information Systems User Satisfaction. The Journal of MIS Research, 14(1), 101-123.
  29. C-L. Hsu & J. C-C. Lin. (2013). What Drives Purchase Intention for Paid Mobile Apps? - An Expectation Confirmation Model with Perceived Value. Electronic Commerce Research and Applications, 14(1), 46-57. DOI : 10.1016/j.elerap.2014.11.003
  30. F. D. Davis, R. P. Bagozzi & P. R. Warshaw. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology, 22(14), 1111-1132. DOI : 10.1111/j.1559-1816.1992.tb00945.x.
  31. H. van der Heijden. (2004). User Acceptance of Hedonic Information Systems. MIS Quarterly, 28(4), 695-704. DOI : 10.2307/25148660.
  32. V. Venkatesh, J. Y. L. Thong & X. Xu. (2012). Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology, MIS Quarterly, 36(1), 157-178. DOI : 10.2307/41410412
  33. J-W. Moon & Y-G. Kim. (2001). Extending the TAM for a World-Wide-Web Context. Information & Management, 38(4), 217-230. DOI : 10.1016/S0378-7206(00)00061-6
  34. W-K. Lee. (2011). An Analysis of the Roles of Experience in Information System Continuance. Asia Pacific Journal of Information Systems, 21(4), 45-62.
  35. J. H. Lee & C. Park. (2013). Antecetents and Consequences of Satisfaction of Social Game, Korean Journal of Marketing, 28(2), 135-153.
  36. D. Youm. (2017). The Effect of Perceived Enjoyment and User Characteristics on Intention of Continuous Use of Mobile Social Network Games: Focusing on Mediating Effect of Flow Experience, Journal of Digital Convergence, 15(9), 415-425. DOI : 10.14400/JDC.2017.15.9.415
  37. S. J. Barnes. (2011). Understanding Use Continuance in Virtual Worlds: Empirical Test of a Research Model. Information & Management, 48(8), 313-319. DOI : 10.1016/j.im.2011.08.004
  38. R. Pereira & C. Tam. (2021). Impact of Enjoyment on the Usage Continuance Intention of Video-on-Demand Services, Information & Management, 58(7), 1-11. DOI : 10.1016/j.im.2021.103501
  39. W. W. Chin. (1998). The Partial Least Squares Approach to Structural Equation Modeling. Modern Methods for Business Research, 295(2), 295-336.
  40. M. Joo. (2021). The Influence of Users' Satisfaction with AWE on English Learning Achievement through Self-efficacy: Using PLS-SEM. Journal of Digital Convergence, 19(9), 1-8. DOI : 10.14400/JDC.2021.19.9.001
  41. Y. G. Park & S. J. Ok. (2022). A study on the effect of Internet Primary Bank Users on Their Intention to Switch to Financial Services : Focusing on K-Bank and Kakao Bank. Journal of Digital Convergence, 20(2), 91-105. DOI : 10.14400/JDC.2022.20.2.091
  42. Korea Information Society Development Institute. (2020). Game Usage Analysis. KISDI Stat Report.