The Role of Motives, Flow, and Social Influence in Attitude and Purchase Intention to Emoticons

이모티콘 사용동기, 플로우, 사회적 영향력이 이모티콘 사용태도 및 구매의도에 미치는 영향

  • Jung, Bo-Hee (School of Business Administration, Chungnam National University) ;
  • Kim, Han-Ku (School of Business Administration, Kyungpook National University)
  • 정보희 (충남대학교 경상대학 경영학부) ;
  • 김한구 (경북대학교 경상대학 경영학부)
  • Received : 2016.04.18
  • Accepted : 2016.06.07
  • Published : 2016.06.30

Abstract

In recent year, graphic emoticons in MIM(Mobile Instant Messenger) play an important role not as a valuable communication methods, but as main business model for MIM service providers. Although the graphic emoticons in MIM are regarded as a commercial product, there has been little systematic research reflecting consumers' perspectives. In order to fill this theoretical and practice gap, the study is designed to explore the structural relationships among emoticon use motives, attitude, and purchasing intention to emoticons in context of MIM. The results showed that emoticon use motives in MIM were composed of two main factors, perceived usefulness and perceived enjoyment. And we also verified that both perceived usefulness and perceived enjoyment positively impact flow in communication with using emoticons and social influence. Lastly, flow and social influence were positively related to attitude toward using emoticons and attitude also was related to purchase intention to emoticons in MIM, positively. However, flow and social influence did not have a positive influence on purchase intention to emoticons directly. The implications and limitations of this study are also discussed.

스마트폰 사용이 보편화 되면서, 모바일 인스턴트 메신저(MIM)의 사용 역시 대중화 되고 있다. 최근 MIM 내 그래픽 이모티콘은 사용자들 간 의사소통을 원활하게 하기 위한 도구로서의 역할을 하고 있는 동시에, 기업 입장에서는 이모티콘의 판매가 주요 비즈니스 모델 중 하나로 인식되고 있다. 이렇듯 이모티콘이 하나의 상품으로 MIM 서비스의 주요 비즈니스 모델로 인식, 개발되고 있는 현 시점에서 이모티콘 구매의도에 직접적으로 영향을 미치는 요인들에 대해 탐색한 연구는 매우 드문 실정이다. 따라서 본 연구는 이러한 학문적, 실무적 간극(gap)을 메우고자 이모티콘의 사용동기, 사용태도 및 구매의도에 영향을 미치는 요인들 간 관계에 대해 탐색해보고자 하였다. 본 연구의 실증분석 결과, MIM 내의 이모티콘 사용동기는 크게 이모티콘 사용에 대한 지각된 유용성과 지각된 즐거움으로 구성될 수 있으며, 지각된 유용성과 지각된 즐거움은 이모티콘을 사용한 대화 시, 몰입의 정도와 사회적 영향력에 모두 정(+)의 영향을 미치는 것으로 나타났다. 또한 이러한 이모티콘 사용동기와 플로우, 그리고 사회적 영향력은 최종적으로 이모티콘 사용태도에 긍정적 영향을 미쳤으며, 이모티콘 사용태도가 호의적일수록 이모티콘 구매의도도 높게 나타나는 것으로 밝혀졌다. 그러나 플로우(flow)와 사회적 영향력(social influence)은 구매의도에 직접적인 영향을 미치지는 않았다. 본 연구는 아직 그 연구가 활발하게 진행되지 않은 폐쇄형 SNS 내의 상품으로서의 이모티콘에 대한 구매의도와 그 동기 간 관계를 실증적으로 검증했다는 점에서 그 의의가 있다.

Keywords

References

  1. 강민정(2016), "SNS에서 30/40대 여성들의 공감 표현에 영향을 미치는 요인 분석-카카오스토리 중심으로," 한국컨텐츠학회논문지, 16(2), 125-136.
  2. 구동모(2013), SPSS, LISREL, PLS 및 PROCESS를 활용한 기초, 조절.매개효과 분석을 위한 연구방법론, 학현사.
  3. 김명수.이동주(2012), "소셜 네트워크 서비스 이용에 있어서의 디지털 피로감과 플로우의 역할," e-비즈니스연구, 13(1), 67-87.
  4. 김해룡.김지영.윤승재.이문규(2013), "카카오톡 네트워크 외부성 효과-지각된 상호작용성과 지각된 위험의 매개효과를 중심으로," 마케팅연구, 28(1), 17-38.
  5. 데이터넷, "카카오톡, 1인당 일평균 20분 사용," 2016. 3. 9.
  6. 세계일보, "카카오톡 이모티콘, 월 발신 메시지수 20억건 달해," 2015. 11.30.
  7. 소원금․김하균(2014), "모바일 특성이 m-commerce 신뢰와 사용의도에 미치는 영향에 관한 한 . 중 비교연구," 경영과정보연구, 33(2), 63-79.
  8. 송동효․강선희(2015), "모바일 쇼핑의 소비자 구매행동에 관한 연구-사용자 특성, 플로우 경험, 지각된 위험, 관여 유형를 중심으로," 경영과정보연구, 34(3), 79-100.
  9. 아시아경제, "韓 스마트폰 보급률 세계 1위," 2016. 3. 28.
  10. 이성준(2015), "성격 특성과 이용 동기가 모바일 메신저 그래픽 이모티콘 활용에 미치는 영향," 한국콘텐츠학회논문지, 15(12), 129-140. https://doi.org/10.5392/JKCA.2015.15.12.129
  11. 주시각.손영곤.전상길(2011), "모바일 서비스 수용결정요인에 관한 연구-내재적 이용동기에 의한 정보기술수용모형의 확장을 중심으로," 경영과정보연구, 30(4), 117-146.
  12. Andrade, E. B.(2005), "Behavioral Consequences of Affect: Combining Evaluative and Regulatory Mechanisms," Journal of Consumer Research, 32(3), 355-362. https://doi.org/10.1086/497546
  13. Ajzen, I. and M. Fishbein(1977), "Attitude-Behavior Relations: A Theoretical Analysis and Review of Empirical Research," Psychological Bulletin, 84(5), 888-918. https://doi.org/10.1037/0033-2909.84.5.888
  14. Bagozzi, R. P. and Y. Yi(1988), "On the Evaluation of Structural Equation Models," Journal of the Academy of Marketing Science, 16(1), 74-94. https://doi.org/10.1007/BF02723327
  15. Bentler, P. M. and D. G. Bonett(1980), "Significance Tests and Goodness of Fit in the Analysis of Covariance Structures," Psychological Bulletin, 99, 588-606.
  16. Bollen, K. A.(1989), Structural Equations with Latent Variables, Wiley: New York.
  17. Broekhuizen, T.(2006), Understanding Channel Purchase Intentions: Measuring Online and offline Shopping Value Perception, Groningen University: Groningen, Netherlands.
  18. Chin, W. W. and A. Gopal(1995), "Adoption Intention in GSS: Relative Importance of Beliefs," ACM SIGMIS Database, 26(2-3), 42-64. https://doi.org/10.1145/217278.217285
  19. Cialdini, R. B. and M. R. Trost(1998), Social Influence: Social Norms, Conformity and Compliance. In Gilbert, D. T., Fiske, S. T., and Lindzey, G.(Eds.), The Handbook of Social Psychology (4th ed. Vol. 2, pp. 151-192), McGraw-Hill: New York.
  20. Cheng, W., M. K. Chang and V. S. Lai (2000), "Prediction of Internet and World Wide Web Usage at Work: A Test of an Extended Triandis Model," Decision Support Systems, 30(1), 83-100. https://doi.org/10.1016/S0167-9236(00)00125-1
  21. Csikszentmihalyi, M. and I. S. Csikszentmihalyi(1988), Optimal Experience: Psychological Studies of Flow in Conscious, Cambridge University Press, Cambridge.
  22. Davis, F. D.(1989), "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology," MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008
  23. Derks, D., A. E. R. Bos, and J. von Grumbkow(2007), "Emoticons and Social Interaction on the Internet: The Importance of Social Context," Computers in Human Behavior, 23(1), 842-849. https://doi.org/10.1016/j.chb.2004.11.013
  24. Derks, D., A. E. R. Bos, and J. von Grumbkow(2008), "Emoticons and Online Message Interpretation," Social Science Computer Review, 26(3), 379-388. https://doi.org/10.1177/0894439307311611
  25. Derks, D., A. H. Fischer, and A. E. R. Bos (2008), "The Role of Emotion in Computer-Mediated Communication: A Review," Computers in Human Behavior, 24(3), 766-785. https://doi.org/10.1016/j.chb.2007.04.004
  26. Dickinger, A., M. Arami and D. Meyer (2008), "The Role of Perceived Enjoyment and Social Nprm in the Adoption of Technology with Network Externalities," European Journal of Information Systems, 17(1), 4-11. https://doi.org/10.1057/palgrave.ejis.3000726
  27. Engel, J. F., D. T. Kollat, and R. D. Blackwell(1984), Consumer Behavior 4th ed. Dryden Press: Hinsdale, IL.
  28. Fornell, C. and D. F. Larcker(1981), "Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics," Journal of Marketing Research, 18(3), 382-388. https://doi.org/10.1177/002224378101800313
  29. Gefen, D. and D. W. Straub(1997), "Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model," MIS Quarterly, 21(4), 389-400. https://doi.org/10.2307/249720
  30. Ha, I., Y. Yoon and M. Choi(2007), "Determinants of Adoption of Mobile Games under Mobile Broadband Wireless Access Environment, Information & Management, 44(3), 276-286. https://doi.org/10.1016/j.im.2007.01.001
  31. Hoffman, D. L. and T. P. Novak(1996), "Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundation, Journal of Marketing, 60(3), 50-68. https://doi.org/10.2307/1251841
  32. Hollenbaugh, E. E. and A. L. Ferris(2014), "Facebook Self-Disclosure: Examining the Role of Traits, Social Cohesion, and Motives, Computers in Human Behavior, 30, 50-58. https://doi.org/10.1016/j.chb.2013.07.055
  33. Hsu, C. and H. Lu(2004), "Why Do People Play On-Line Games? An Extended TAM with Social Influences and Flow Experience," Information & Management, 41(7), 853-868. https://doi.org/10.1016/j.im.2003.08.014
  34. Huang, A. H., D. C. Yen and X. Zhang(2008), "Exploring the Potential Effects of Emoticons," Information & Management, 45, 466-473.
  35. Hunt, D., D. Atkin and A. Krishnan(2012), "The Influence of Computer-Mediated Communication Apprehension on Motives for Facebook Use," Journal of Broadcasting & Electronic Media, 56(2), 187-202. https://doi.org/10.1080/08838151.2012.678717
  36. Joinson, A. N.(2008), "Looking at, Looking up or Keeping up with People?: Motives and Use of Facebook," CHI '08 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1027-1036.
  37. Karahanna, E. and D. W. Straub(1999), "The Psychological Origins of Perceived Usefulness and Ease-of-Use, Information & Management, 35(4), 237-250. https://doi.org/10.1016/S0378-7206(98)00096-2
  38. Katz, E., J. G. Blumler and M. Gurevitch (1974), Utilization of Mass Communication by the Individual. In Blumler, J. G. and E. Katz(Eds.), The Uses of Mass Communications: Current Perspectives on Gratifications Research(pp.19-32), Sage: Beverly Hills, CA.
  39. 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
  40. Kuo, Y. and S. Yen(2009), "Towards an Understanding of the Behavioral Intention to Use 3G Mobile Value-Added Services," Computers in Human Behavior, 25(1), 103-110. https://doi.org/10.1016/j.chb.2008.07.007
  41. Lapinski, M. K. and R. N. Rimal(2006), "An Explication of Social Norms," Communication Theory, 15(2), 127-147. https://doi.org/10.1093/ct/15.2.127
  42. Lee, K. C., I. W. Kang, and D. H. McKnight(2007), "Transfer From Offline Trust to Key Online Perceptions: An Empirical Study," IEEE Transactions on Engineer, 54(4), 729-741.
  43. Lo, S.(2008), "The Nonverbal Communication Functions of Emoticons in Computer-Mediated Communication," Cyber Psychology & Behavior, 11(5), 595-597. https://doi.org/10.1089/cpb.2007.0132
  44. Lou, H, W. Luo and D. Strong(2000) "Perceived Critical Mass Effect on Groupware Acceptance," European Journal of Information Systems, 9(2), 91-103. https://doi.org/10.1057/palgrave.ejis.3000358
  45. Lucas, H. C. and V. Spitler(2000), "Implementation in a World of Workstations and Networks," Information & Management, 32(2), 119-128.
  46. Rezabek, L. L. and J. J. Cochenour(1998), "Visual Cues in Computer-Mediated Communication: Supplementing Text with Emoticons," Journal of Visual Literacy, 18(2), 201-215. https://doi.org/10.1080/23796529.1998.11674539
  47. Rubin, A. M.(2002), The Uses-and -Gratifications Perspective of Media Effects, In Bryant, J. and D. Zillman(Eds.) Media Effects: Advances in Theory and Research (2nd ed., pp.525-548), Erlbaum, Mahwah, NJ.
  48. Schepers, J. and M. Wetzels(2007), "A Meta-Analysis of the Technology Acceptance Model: Investigating Subjective Norm and Moderation Effects," Information & Management, 44(1), 90-103. https://doi.org/10.1016/j.im.2006.10.007
  49. Schumacher, R. E. and R. G. Lomax (1996). A Beginner's Guide to SEM, Lawrence Erlbaum Associates: Manwah, New Jersey, USA.
  50. Sproull, L. and S. Kiesler(1986), "Reducing Social Context Cues: Electronic Mail in Organizational Communication," Management Science, 32(11), 1492-1512. https://doi.org/10.1287/mnsc.32.11.1492
  51. Strader, T. J, S. N. Ramaswami, and P. A. Houle(2007), "Perceived Network Externalities and Communication Technology Acceptance," European Journal of Information Systems, 16(1), 54-65. https://doi.org/10.1057/palgrave.ejis.3000657
  52. Tossell, C. C., P. Kortum, C. Shepard, L. H. Barg-Walkow, A. Rahmati and, L. Zhong(2012), "A Longitudinal Study of Emoticon Use in Text Messaging from Smartphones," Computers in Human Behavior, 28(2), 659-663. https://doi.org/10.1016/j.chb.2011.11.012
  53. Taylor, S. and P. A. Todd(1995), "Understanding Information Technology Usage: A Test of Competing Model," Information Systems Research, 6(2), 144-176. https://doi.org/10.1287/isre.6.2.144
  54. Tosun, L. P.(2012), "Motives for Facebook Use and Expressing 'True Self' on the Internet," Computers in Human Behavior, 28(4), 1510-1517. https://doi.org/10.1016/j.chb.2012.03.018
  55. Wolf, A.(2004), "Emotional Expression Online: Gender Differences in Emoticon Use," CyberPsychology & Behavior, 3(5): 827-833. https://doi.org/10.1089/10949310050191809
  56. Xu, L., C. Yi, and Y. Xu, (2007), "Emotional Expression Online: The Impact of Task, Relationship and Personality Perception on Emoticon Usage in Instant Messenger," In Proceedings of the 11th Pacific-Asia Conference on Information Systems, Auckland, NewZealand.
  57. Zhou, T., H. Li, and Y. Liu (2010), "The Effect of Flow Experience on Mobile SNS Users' Loyalty," Industrial Management & Data Systems, 110(6), 930-946. https://doi.org/10.1108/02635571011055126