경영과정보연구 (Management & Information Systems Review)

  • 제36권5호
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  • Pages.195-222
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  • 2017
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  • 1598-2459(pISSN)
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  • 2733-4767(eISSN)
대한경영정보학회 (Daehan Academy of Management Information Systems)
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핀테크 이용 동기에 따른 이용자 태도와 구전의도의 관계 - 혁신저항과 메시지 유형의 조절효과 -

Effects of FIN-TECH use motivation on User Attitude and Word Of Mouth Intention: Focus on a Innovation Resistance Tendency and Type of Message (Rational, Emotional)

  • 투고 : 2017.10.30
  • 심사 : 2017.12.20
  • 발행 : 2017.12.31
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초록

오늘날의 경제는 모든 영역의 경계가 허물어짐에 따라 서로 다른 산업 간의 융복합화가 활발해지며 이는 모바일, 소셜 네트워크 서비스 등의 혁신을 이루어내고 있다. 이러한 기술혁명가운데 모바일과 인터넷의 장점을 결합하여 금융과 IT의 업무를 손쉽게 처리할 수 있는 오늘날 새로운 기술을 핀테크라 하며 이러한 핀테크는 금융을 의미하는 파이낸스(Finance)와 기술을 의미하는 테크놀로지(Technology)의 합성어이다. 이에 본 연구는 핀테크 이용 동기(유용성, 즐거움)가 이용자 태도, 구전의도에 미치는 영향의 전반적인 구조적 관계에 대하여 살펴보았다. 이와 더불어 혁신저항 성향에 따라 핀테크 이용 동기, 이용자 태도, 구전 의도는 어떻게 달라지는지 살펴보았다. 또한, 메시지 유형(이성적, 감성적)에 따라 핀테크 이용 동기, 이용자 태도, 구전 의도는 어떻게 달라지는지 살펴보았다. 한편, 본 연구의 주요결과는 다음과 같다. 첫째로, 핀테크 이용 동기요인의 유용성과 즐거움은 사용자태도에 긍정적인 영향을 미치는 것으로 나타났으며 이용자 태도 또한 구전의도에 긍정적인 영향을 미치는 것으로 나타났다. 둘째로, 핀테크 이용 동기, 이용자 태도, 구전의도간의 관계는 소비자들의 혁신저항에 따라 차이가 나는 것으로 밝혀졌다. 셋째로, 핀테크 이용 동기, 이용자 태도, 구전의도간의 관계는 메시지 유형(이성적, 감성적)에 따라 차이가 나는 것으로 밝혀졌다. 연구의 결론 부분에서는 연구결과의 요약, 시사점 및 한계점, 그리고 향후 연구방향에 대해서 기술하였다.

Today's economy is becoming more and more convergence between different industries as the demarcation of the boundaries of all areas is leading to innovations such as mobile and social network services. So Fin-tech is a new technology that can combine the advantages of mobile and Internet with the technology revolution to easily handle financial and IT tasks. This Fin-tech is a compound word of finance and technology. The purpose of this study is to investigate the overall structural relationship between Fin-Tech use motivation (usefulness, enjoyment) on user attitude and word of mouth intention. In addition, we investigated how FinTech use motivation, user attitude, and word of mouth intention change according to innovation resistance tendency. And, we examined how the motivation, user attitude, and word of mouth intention of FinTech change according to the message type (rational and emotional). The main results of this study are as follows. First, the usefulness and enjoyment of motivation for using FinTech have a positive effect on user attitude, and user attitude also has a positive effect on word of mouse intention. Second, the relationship between FinTech use motivation, user attitude, and word of mouth intention was found to difference according to consumers' innovation resistance. Third, it was found that the relationship between FinTech use motivation, user attitude, and word of mouth intention differs according to type of message (rational, emotional). At the conclusion of the study, the summary of the research results, implications and limitations, and future research direction are described.

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참고문헌

  1. 김재영(2010), "온라인 브랜드 체험을 통한 브랜드 태도와 브랜드 애착의 이중 경로가 브랜드 몰입에 미치는 영향," 경영과 정보연구, 29(3), 123-146.
  2. 김홍범.장호성(2008), "관광지 방문 후 이미지가 관광객의 태도와 구전의도에 미치는 영향," 관광학연구, 32(3), 209-229.
  3. 문재학(2012), "비교광고의 메시지 유형에 따른 광고효과 분석," 경영과 정보연구, 31(4), 639-661.
  4. 배지양(2009), "댓글의 품질 및 방향성이 영리기업의 사회공헌활동에 대한 공중의 책임성 인식, 태도, 구매의도, 구전활동의도에 미치는 영향," 광고학연구, 20(5), 7-37.
  5. 애제.권순동.이수철.고미현.이보형(2017), "핀테크 서비스에서 오프라인에서 온라인으로의 신뢰전이에 관한 연구: 스마트뱅킹을 중심으로," 경영과 정보연구, 36(3), 167-184.
  6. 정승민(2017), "소비자 혁신성과 이전 서비스에 대한 신뢰에 따른 모바일결제 사용의도에 관한 연구," 경영과 정보연구, 36(2), 113-132.
  7. 진홍근.이은주(2007), "제품 관여수준과 인터넷 구전메시지 유형이 소비자 커뮤니케이션에 미치는 영향: FCB 모델에 따른 제품과 인터넷 쇼핑몰의 구매 댓글을 중심으로," 경영과정보연구, 22(9), 85-115.
  8. Agarwal, Ritu and Elena Karahanna(2000), "Time Flies when You're having Fun: Cognitive Absorption and Beliefs about Information Technology Usage," MIS Quarterly, 24(4), 665-694. https://doi.org/10.2307/3250951
  9. Allsop, Dee T., Bryce R. Bassett, and James A. Hoskins(2007), "Word-Of-Mouth Research: Principles and Applications," Journal of Advertising Research, 47(4), 398-411. https://doi.org/10.2501/S0021849907070419
  10. Belch, George E. and Michael A. Belch(2003), Advertising and Promotion: An Integrated Marketing Communications Perspective, McGraw-Hill: New York.
  11. Bhattacherjee, Anol(2001), "Understanding Information Systems Continuance: An Expectation-Confirmation Model," MIS Quarterly, 25(3), 351-370. https://doi.org/10.2307/3250921
  12. Boonsiritomachai, Waranpong and Krittipat Pitchayadejanant(2017), "Determinants Affecting Mobile Banking Adoption by Generation Y Based on The Unified Theory of Acceptance and Use of Technology Model Modified by The Technology Acceptance Model Concept," Kasetsart Journal of Social Sciences, Online(11).
  13. Boulding, William, Ajay Kalra, Richard Staelin, and Valarie A. Zeithaml(1993), "A Dynamic Process Model of Service Quality: from Expectations to Behavioral Intentions," Journal of Marketing Research, 30(1), 7. https://doi.org/10.1177/002224379303000102
  14. Bunea, Sinziana, Benjamin Kogan, and David Stolin(2016), "Banks Versus FinTech: At Last, it's Official," Journal of Financial Transformation, 44(1), 122-131.
  15. Chu, Shu-Chuan and Yoojung Kim(2011), "Determinants of Consumer Engagement in Electronic Word-Of-Mouth (eWOM) in Social Networking Sites," International Journal of Advertising, 30(1), 47-75. https://doi.org/10.2501/IJA-30-1-047-075
  16. Chung, Janine and Felix B Tan(2004), "Antecedents of Perceived Playfulness: An Exploratory Study on User Acceptance of General Information-Searching Websites," Information & Management, 41(7), 869-881. https://doi.org/10.1016/j.im.2003.08.016
  17. Cline, Rael(2016), "FinTech Solutions Benefiting Other Sectors," The FinTech Book: The Financial Technology Handbook for Investors, Entrepreneurs and Visionaries, 18(Mar), 128-130.
  18. Crisp, C. Brad, Sirkka L. Jarvenpaa, and Peter A. Todd(1997), "Individual Differences and Internet Shopping Attitudes and Intentions," Graduate School of Business Working Paper, University of Texas.
  19. Dapp, Thomas F., Lars Slomka, Bank AG Deutsche, and Ralf Hoffmann(2014), "Fintech - The Digital (r)evolution in The Financial Sector," Deutsche Bank Research, Frankfurt am Main, 11 (November).
  20. Dapp, Thomas F., Lars Slomka, Bank AG Deutsche, and Ralf Hoffmann(2015), "Fintech Reloaded-Traditional Banks as Digital Ecosystems," Publication of the German Original, 28(April).
  21. Davis, Fred D.(1986), "A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results," Massachusetts Institute of Technology.
  22. Davis, Fred D., Richard P. Bagozzi, and Paul R. Warshaw(1992), "Extrinsic and Intrinsic Motivation to Use Computers in The Workplace1," Journal of Applied Social Psychology, 22(14), 1111-1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
  23. Davis, Fred D., Richard P. Bagozzi, and Paul R. Warshaw(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
  24. Deci, Edward L.(1971), "Effects of Externally Mediated Rewards on Intrinsic Motivation," Journal of Personality and Social Psychology, 18(1), 105-115. https://doi.org/10.1037/h0030644
  25. Dholakia, Ruby Roy(2004), "Shoppers in Cyberspace: Gender and The Transformation of Household Roles in The US and the Likely Impact on Travel Behaviors," in Auswirkungen der virtuellen Mobilitat: Springer.
  26. File, Karen Maru, Ben B. Judd, and Russ Alan Prince(1992), "Interactive Marketing: The Influence of Participation on Positive Word-Of-Mouth and Referrals," Journal of Services Marketing, 6(4), 5-14. https://doi.org/10.1108/08876049210037113
  27. Fishbein, Martin and Icek Ajzen(1975), Belief, Attitudes, Intention, and Behavior: An Introduction to Theory and Research, Reading, Addison-Wesley: MA.
  28. Gagne, Marylene and Edward L. Deci(2005), "Self-Determination Theory and Work Motivation," Journal of Organizational Behavior, 26(4), 331-362. https://doi.org/10.1002/job.322
  29. Harrison-Walker, L. Jean(2001), "The measurement of Word-Of-Mouth Communication and an Investigation of Service Quality and Customer Commitment as Potential Antecedents," Journal of Service Research, 4(1), 60-75. https://doi.org/10.1177/109467050141006
  30. Hsu, Shang H., Ming C. Chuang, and Chien C. Chang(2000), "A Semantic Differential Study of Designers? and Users? Product form Perception," International Journal of Industrial Ergonomics, 25(4), 375-391. https://doi.org/10.1016/S0169-8141(99)00026-8
  31. Kim, Chung K., Anne M. Lavack, and Margo Smith(2001), "Consumer Evaluation of Vertical Brand Extensions and Core Brands," Journal of Business Research, 52(3), 211-222. https://doi.org/10.1016/S0148-2963(99)00107-1
  32. Kim, Eunjin and Byungtae Lee(2007), "An Economic Analysis of Customer Selection and Leveraging Strategies in a Market where Network Externalities eExist," Decision Support Systems, 44(1), 124-134. https://doi.org/10.1016/j.dss.2007.03.006
  33. Kim, Hee-Woong, Hock Chuan Chan, and Sumeet Gupta(2007), "Value-Based Adoption of Mobile Internet: An Empirical Investigation," Decision Support Systems, 43(1), 111-126. https://doi.org/10.1016/j.dss.2005.05.009
  34. Landrum, Hollis and Victor R. Prybutok(2004), "A Service Quality and Success Model for the Information Service Industry," European Journal of Operational Research, 156(3), 628-642. https://doi.org/10.1016/S0377-2217(03)00125-5
  35. Lee, Ming-Chi(2009), "Factors Influencing the Adoption of Internet Banking: An Integration of TAM and TPB with Perceived Risk and Perceived benefit," Electronic Commerce Research and Applications, 8(3), 130-141. https://doi.org/10.1016/j.elerap.2008.11.006
  36. Lin, Cathy S., Sheng Wu, and Ray J. Tsai(2005), "Integrating Perceived Playfulness into Expectation-Confirmation Model for Web Portal Context," Information & Management, 42(5), 683-693. https://doi.org/10.1016/j.im.2004.04.003
  37. Lin, Chieh-Peng and Anol Bhattacherjee(2008), "Elucidating Individual Intention to Use Interactive Information Technologies: The Role of Network Externalities," International Journal of Electronic Commerce, 13(1), 85-108. https://doi.org/10.2753/JEC1086-4415130103
  38. Lin, Kuan-Yu and Hsi-Peng Lu(2011), "Why People Use Social Networking Sites: An Empirical Study Integrating Network Externalities and Motivation Theory," Computers in Human Behavior, 27(3), 1152-1161. https://doi.org/10.1016/j.chb.2010.12.009
  39. Liu, Scott S. and Patricia A. Stout(1987), "Effects of Message Modality and Appeal on Advertising Acceptance," Psychology & Marketing, 4(3), 167-187. https://doi.org/10.1002/mar.4220040303
  40. Lu, Hsi-Peng and Philip Yu-Jen Su(2009), "Factors Affecting Purchase Intention on Mobile Shopping Web Sites," Internet Research, 19(4), 442-458. https://doi.org/10.1108/10662240910981399
  41. Lu, Yaobin, Tao Zhou, and Bin Wang(2009), "Exploring Chinese User's Acceptance of Instant Messaging Using The Theory of Planned Behavior, The Technology Acceptance Model, and The Flow Theory," Computers in Human Behavior, 25(1), 29-39. https://doi.org/10.1016/j.chb.2008.06.002
  42. Marakas, George M. and Steven Hornik(1996), "Passive Resistance Misuse: Overt Support and Covert Recalcitrance in IS Implementation," European Journal of Information Systems, 5(3), 208-219. https://doi.org/10.1057/ejis.1996.26
  43. McAuley, D.(2014), "What is FinTech," Wharton FinTech.
  44. Moon, Bitt Beach and Yunna Rhee(2012), "Message Strategies and Forgiveness During Crises: Effects of Causal Attributions and Apology Appeal Types on Forgiveness," Journalism & Mass Communication Quarterly, 89(4), 677-694. https://doi.org/10.1177/1077699012455388
  45. Moon, Ji-Won and Young-Gul Kim(2001), "Extending the TAM for a World-Wide-Web Context," Information & Management, 38(4), 217-230. https://doi.org/10.1016/S0378-7206(00)00061-6
  46. Moore, Gary C. and Izak Benbasat(1991), "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, 2(3), 192-222. https://doi.org/10.1287/isre.2.3.192
  47. Nysveen, Herbjorn, Per E. Pedersen, and Helge Thorbjornsen(2005), "Intentions to Use Mobile Services: Antecedents and Cross-Service Comparisons," Journal of The Academy of Marketing Science, 33(3), 330-346. https://doi.org/10.1177/0092070305276149
  48. Pagani, Margherita(2004), "Determinants of Adoption of Third Generation Mobile Multimedia Services," Journal of Interactive Marketing, 18(3), 46-59. https://doi.org/10.1002/dir.20011
  49. Petty, Richard E and John T Cacioppo(1981), "Issue Involvement as a Moderator of The Effects on Attitude of Advertising Content and Context," NA-Advances in Consumer Research, 8, 20-24.
  50. Pontiggia, Andrea and Francesco Virili(2010), "Network Effects in Technology Acceptance: Laboratory Experimental Evidence," International Journal of Information Management, 30(1), 68-77. https://doi.org/10.1016/j.ijinfomgt.2009.07.001
  51. Preacher, Kristopher J. and Geoffrey J. Leonardelli(2001), Calculation for the Sobel Test: An Interactive Caculation Tool for Mediation Tests, http://quantpsy.org/sobel/sobel.htm.
  52. Puto, Christopher P. and William D. Wells (1984), "Informational and Transformational Advertising: The Differential Effects of Time," NA-Advances in Consumer Research, 11, 638-643.
  53. Ram, Sudha(1987), "A model of Innovation Resistance," NA-Advances in Consumer Research, 14, 208-212.
  54. Rogers, Everett M.(2002), "Diffusion of Preventive Innovations," Addictive behaviors, 27(6), 989-993. https://doi.org/10.1016/S0306-4603(02)00300-3
  55. Schiffman, LG and LL Kanuk(1991), Consumer Influence and The Diffusion of Innovations: An International Perspective. Consumer behavior, Pearson Prentice Hall: New Jersey.
  56. Sheth, Jagdish N.(1981), "Psychology of Innovation Resistance: The Less Developed Concept (LDC) in Diffusion Research," Research in Marketing, 4, 273-282.
  57. Sheth, Jagdish N. and Walter H. Stellner(1979), Psychology of Innovation Resistance: The Less Developed Concept (LDC) in Diffusion Research, College of Commerce and Business Administration, University of Illinois at Urbana-Champaign Urbana-Champaign, IL.
  58. Sledgianowski, Deb and Songpol Kulviwat(2009), "Using Social Network Sites: The Effects of Playfulness, Critical Mass and Trust in a Hedonic Context," Journal of Computer Information Systems, 49(4), 74-83.
  59. Sobel, Michael E.(1982), "Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models," Sociological Methodology, 13, 290-312. https://doi.org/10.2307/270723
  60. Sun, Tao, Seounmi Youn, Guohua Wu, and Mana Kuntaraporn(2006), "Online Wordof-Mouth (or mouse): An Exploration of its Antecedents and Consequences," Journal of Computer-Mediated Communication, 11(4), 1104-1127. https://doi.org/10.1111/j.1083-6101.2006.00310.x
  61. Taylor, Shirley and Peter A. Todd(1995), "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, 6(2), 144-176. https://doi.org/10.1287/isre.6.2.144
  62. Teo, Thompson S. H., Vivien K. G. Lim, and Raye Y. C. Lai(1999), "Intrinsic and Extrinsic Motivation in Internet Usage," The International of Management Science, 27(1), 25-37.
  63. Ting, I. H. and M. Y. Chen(2005), Data mining, Taichung City: Cang Hai Books.
  64. Van der Heijden, Hans(2003), "Factors Influencing The Usage of Websites: The Case of a Generic Portal in The Netherlands," Information & Management, 40(6), 541-549. https://doi.org/10.1016/S0378-7206(02)00079-4
  65. Van der Heijden, Hans(2004), "User Acceptance of Hedonic Information Systems," MIS Quarterly, 695-704.
  66. Van Thiel, Diederick and Fred Van Raaij (2017), "Explaining Customer Experience of Digital Financial Advice," Economics, 5(1), 69-84. https://doi.org/10.1515/eoik-2017-0019
  67. Venkatesh, Viswanath and Fred D. Davis(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
  68. Wu, Jen-Her, Yung-Cheng Chen, and Li-Min Lin(2007), "Empirical Evaluation of The Revised End User Computing Acceptance Model," Computers in Human Behavior, 23(1), 162-174. https://doi.org/10.1016/j.chb.2004.04.003
  69. Yen, David C., Chin-Shan Wu, Fei-Fei Cheng, and Yu-Wen Huang(2010), "Determinants of User's Intention to Adopt Wireless Technology: An Empirical Study by Integrating TTF with TAM," Computers in Human Behavior, 26(5), 906-915. https://doi.org/10.1016/j.chb.2010.02.005
  70. Yi, Mun Y. and Yujong Hwang(2003), "Predicting the Use of Web-Based Information Systems: Self-Efficacy, Enjoyment, Learning Goal Orientation, and the Technology Acceptance Model," International Journal of Human-Computer Studies, 59(4), 431-449. https://doi.org/10.1016/S1071-5819(03)00114-9
  71. Yu, Jieun, Imsook Ha, Munkee Choi, and Jaejeung Rho(2005), "Extending The TAM for a T-Commerce," Information & management, 42(7), 965-976. https://doi.org/10.1016/j.im.2004.11.001

피인용 문헌

  1. 옴니채널 서비스 이용 동기가 지속적 몰입과 정서적 몰입 및 브랜드 구매의도에 미치는 영향 vol.27, pp.6, 2017, https://doi.org/10.29049/rjcc.2019.27.6.553
  2. 간편결제 서비스의 지속사용의도에 영향을 미치는 요인에 관한 연구: 플로우, 신뢰 및 혁신저항을 중심으로 vol.30, pp.1, 2021, https://doi.org/10.5859/kais.2021.30.1.1