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An Empirical Study on Factors Affecting an Individual User's Behavioral Intention to Use SaaS

개인 사용자의 SaaS 사용의도에 영향을 미치는 요인에 관한 실증적 연구

  • 홍일유 (중앙대학교 경영경제대학) ;
  • 이승민 (정보통신산업진흥원 전략기획팀) ;
  • 조휘형 (김포대학교 유통경영과)
  • Received : 2018.03.07
  • Accepted : 2018.05.12
  • Published : 2018.09.28

Abstract

Today, Software as a Service(SaaS) is being recognized as a key means to enable the innovation of software distribution. Despite the increase in the interest in SaaS, individuals as well as businesses are not yet making an extensive use of it. This research is aimed at identifying and analyzing the antecedents of intentions to use SaaS. We proposed a research model to predict an individual's intention to use SaaS based on the Technology Acceptance Model(TAM). To this end, we conducted a questionnaire survey in which actual software users participated. An empirical analysis has been performed to test the reliability and validity and the hypotheses using SPSS and AMOS software packages. The results of the analysis revealed that functionality, interoperability and economic benefits have positive effects on the intention to use SaaS, while system quality has no significant effect on the behavioral intention. We discussed practical as well as academic implications, and provided research directions.

최근 클라우드 서비스업체들이 제공하는 SaaS(Software as a Service)는 소프트웨어 유통 패러다임의 혁신을 가능케할 수단으로서 많은 관심을 모으고 있다. 반면, 높은 관심에도 불구하고, 아직 SaaS를 적극적으로 활용하는 이용자들은 많지 않다. 본 연구는 SaaS 사용의도에 영향을 미치는 선행요인들을 규명 및 분석하는데 그 목적이 있다. 본 연구에서는 기술수용모델을 기반으로 하여 SaaS 사용의도를 예측하기 위한 연구모델을 제시하였다. 본 연구를 위해 소프트웨어 실사용자들을 대상으로 설문조사를 실시하였으며, 수집된 실증데이터는 SPSS와 AMOS를 이용하여 그 신뢰성 및 타당성을 분석하였으며 측정모델 및 가설의 검증을 실시하였다. 실증분석 결과, SaaS의 기능성, 상호운용성 및 경제적 효익은 사용의도에 긍정적 영향을 미치는 반면, 시스템 품질은 사용의도에 유의한 영향을 미치지 않는 것으로 나타났다. 본 연구결과에 대한 시사점 및 한계점을 논의하였으며, 향후 연구의 방향도 제시하였다.

Keywords

References

  1. 강원영 (2013). 최근 클라우드 컴퓨팅 서비스 동향, 20-24. 한국인터넷진흥원.
  2. 김준우.문형도 (2007). "이질적인 정보기술 사용 환경 하에서의 기술수용모델(TAM)에 대한 연구." Journal of Information Technology Applications & Management, 14(4): 175-198.
  3. 박상철.권순재 (2011). "클라우드 컴퓨팅으로의 사용전환 결정요인에 관한 연구." 한국 IT 서비스학회지, 10: 149-166.
  4. 불튼(Boulton, C.) (2016). "'지금은 맞고 그때는 틀리다' 클라우드 도입률이 낮아진 이유." CIO Korea, IDG.
  5. 이경모.최현주 (2009). "컨벤션 웹사이트품질이 사용자의 사용의도에 미치는 영향." 이벤트컨벤션연구, 5(2): 1-22.
  6. 이미정 (2007). 소프트웨어 서비스 품질이 이용 의도에 미치는 영향에 관한 연구, 경기대학교 대학원 석사학위논문.
  7. 이영주.양현철 (2017). "활용 주체별 빅데이터 수용 인식 차이에 관한 연구: 활용 목적, 조직 규모, 업종 특성을 중심으로." 정보화정책, 24(1): 79-99. https://doi.org/10.22693/NIAIP.2017.24.1.079
  8. 이주연 (2003). 유료 디지털 콘텐츠 구매 의도와 행동에 관한 연구 - 유료 VOD 콘텐츠 서비스 사이트 사용자를 중심으로. 연세대학교 대학원 석사학위 논문.
  9. 이혜정.이정우.조철현 (2012). "SaaS관련 체계적인 연구문헌 분석: 국내 학술 경향 연구." Journal of the Korea Academia-Industrial Cooperation Society, 13(6): 2729-2738. https://doi.org/10.5762/KAIS.2012.13.6.2729
  10. 최재원.장지화.김범수 (2014). "육아교육 정보시스템 활성화를 위한 결정요소: 사용자 저항성의 관점으로." 정보화정책, 21(1): 77-98. https://doi.org/10.22693/NIAIP.2014.21.1.077
  11. 최현주 (2009). 컨벤션 웹사이트품질이 사용자의 지각된 신념과 행동의도에 미치는 영향: 확장된 기술수용모델(TAM) 관점에서. 경기대학교 대학원 박사학위논문.
  12. 홍일유.강동원.조휘형 (2014). "사회적 및 개인적 선행요인들이 SNS 이용의도에 미치는 영향에 관한 연구: 국내 대학생들의 페이스북 이용을 중심으로." 정보화정책, 21(1): 57-76. https://doi.org/10.22693/NIAIP.2014.21.1.057
  13. Adams, D. A., Nelson, R. R. & Todd, P. A. (1992). "Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication." MIS quarterly, 16(2): 227-247. https://doi.org/10.2307/249577
  14. Agarwal, R. & Venkatesh, V. (2002). "Assessing a Firm's Web Presence: A Heuristic Evaluation Procedure for the Measurement of Usability." Information Systems Research, 13(2): 168-186. https://doi.org/10.1287/isre.13.2.168.84
  15. Ahn, T., Ryu, S. & Han, I. (2007). "The Impact of Web Quality and Playfulness on User Acceptance of Online Retailing." Information & management, 44(3): 263-275. https://doi.org/10.1016/j.im.2006.12.008
  16. Baliyan, N. & Kumar, S. (2013). "Quality Assessment of Software as a Service on Cloud Using Fuzzy Logic." 2013 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM).
  17. Benlian, A., Koufaris, M. & Hess, T. (2011). "Service Quality in Software-as-a-Service: Developing the Saas-Qual Measure and Examining Its Role in Usage Continuance." Journal of Management Information Systems, 28(3): 85-126. https://doi.org/10.2753/MIS0742-1222280303
  18. Bentler, P. M. & Bonett, D. G. (1980). "Significance Tests and Goodness of Fit in the Analysis of Covariance Structures." Psychological Bulletin, 88(3): 588-606. https://doi.org/10.1037/0033-2909.88.3.588
  19. Calisir, F. & F. Calisir, "The relation of interface usability characteristics, perceived usefulness, and perceived ease of use to end-user satisfaction with enterprise resource planning (ERP) systems." Computers in Human Behavior, 2004, 20(4): p. 505-515. https://doi.org/10.1016/j.chb.2003.10.004
  20. Chin, W. W. & Todd, P. A. (1995). "On the Use, Usefulness, and Ease of Use of Structural Equation Modeling in Mis Research: A Note of Caution." MIS quarterly, 19(2): 237-246. https://doi.org/10.2307/249690
  21. Chou, S. & Chiang, C. (2013). "Understanding the Formation of Software-as-a-Service (Saas) Satisfaction from the Perspective of Service Quality." Decision Support Systems, 56: 148-155. https://doi.org/10.1016/j.dss.2013.05.013
  22. Davis, F.D. (1986). "A Technology Acceptance Model for Empirically Testing New End-User Information System: Theory and Results." Sloan School of Management. MIT.
  23. 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
  24. Davis, F. D., Bagozzi, R. P. & Warshaw, P.R. (1989). "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models." Management Science, 35: 982-1003. https://doi.org/10.1287/mnsc.35.8.982
  25. Davis, F. D., Bagozzi, R. P. & Warshaw, P.R. (1992). "Extrinsic and Intrinsic Motivation to Use Computers in the Workplace." Journal of applied social psychology, 22(14): 1111-1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
  26. DeLone, W. H. & McLean, E. R. (1992). "Information System Success: The Quest for the Dependent Variable." Information System Research, 3(1): 60-95. https://doi.org/10.1287/isre.3.1.60
  27. DeLone, W. H. & McLean, E. R. (2003). "The Delone and Mclean Model of Information Systems Success: A Ten-Year Update." Journal of Management Information Systems, 19(4): 9-30. https://doi.org/10.1080/07421222.2003.11045748
  28. Dustin, E., Rashka, J. & McDiarmid, D. (2002). Quality Web Systems: Performance, Security, and Usability. Addison-Wesley Longman Publishing Co., Inc.
  29. Forsythe, S., Liu, C., Shannon, D. & Gardner, L. C. (2006). "Development of a Scale to Measure the Perceived Benefits and Risks of Online Shopping." Journal of interactive marketing, 20(2): 55-75. https://doi.org/10.1002/dir.20061
  30. Gartner (2017). "Software as a Service (Saas)." in: Information 2020 - Beyond Big Data. https://www.gartner.com/it-glossary/software-as-aservice-saas/: Gartner.
  31. Gorla, N., Somers, T. M. & Wong, B. (2010). "Organizational Impact of System Quality, Information Quality, and Service Quality." Journal of Strategic Information Systems, 19: 207-228.
  32. Guimaraes, T. & Igbaria, M. (1997). "Client/Server System Success: Exploring the Human Side." Decision Sciences, 28(4): 851-876. https://doi.org/10.1111/j.1540-5915.1997.tb01334.x
  33. Hair, J. F., Anderson, R. E., Tatham, R. L. & Black, W. C. (1995). Multivariate Data Analysis with Readings (4th ed.). New Jersey: Prentice Hall.
  34. Hair, J. F., Jr., Black, W. C., Babin, B. J. & Anderson, R. E. (2010). Multivariate Data Analysis (7th ed.). Pearson.
  35. HIMSS (2017). "What Is Interoperability?," in: HIMSS. http://www.himss.org/library/interoperability-standards/what-is-interoperability: Healthcare Information and Management Systems Society.
  36. Hu, L. & Bentler, P. M. (1999). "Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives." Structural Equation Modeling, 6(1): 1-55. https://doi.org/10.1080/10705519909540118
  37. Huh, H. J., Kim, T. T. & Law, R. (2009). "A Comparison of Competing Theoretical Models for Understanding Acceptance Behavior of Information Systems in Upscale Hotels." International Journal of Hospitality Management, 28(1): 121-134. https://doi.org/10.1016/j.ijhm.2008.06.004
  38. IEEE (2017). "What Is Software Functionality?," IEEE.
  39. Igbaria, M., Zinatelli, N., Cragg, P. & Cavaye, A. L. (1997). "Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model." MIS quarterly, 21(3): 279-305. https://doi.org/10.2307/249498
  40. Jarvenpaa, S. L., Tractinsky, N. & Vitale, M. (2000). "Consumer Trust in an Internet Store." Information Technology and Management, 1(1): 45-71. https://doi.org/10.1023/A:1019104520776
  41. Karahanna, E., Straub, D. W. & Chervany, N. L. (1999). "Information Technology Adoption across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs," MIS quarterly, 23: 183-213. https://doi.org/10.2307/249751
  42. Khanjani, A., Rahman, W., Ghani, A. & Sultan, A. (2014). "Saas Quality of Service Attributes." Journal of Applied Sciences, 14(24: 3613-3619. https://doi.org/10.3923/jas.2014.3613.3619
  43. 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
  44. Lederer, A. L., Maupin, D. J., Sena, M. P. & Zhuang, Y. (2000). "The Technology Acceptance Model and the World Wide Web," Decision support systems, 29(3): 269-282. https://doi.org/10.1016/S0167-9236(00)00076-2
  45. Lee, S., Chae, S. & Cho, K. (2013). "Drivers and Inhibitors of Saas Adoption in Korea." International Journal of Information Management, 33(3): 429-440. https://doi.org/10.1016/j.ijinfomgt.2013.01.006
  46. Lucas, H. C. (1978). "Empirical Evidence for a Descriptive Model of Implementation." MIS Quarterly, 2(2): 27-42. https://doi.org/10.2307/248939
  47. Moore, G. C. & Benbasat, I. (1991). "Development of and Instrument to Measure the Percetions of Adopting an Information Technology Innovation." Information Systems Research, 2(3): 192-222. https://doi.org/10.1287/isre.2.3.192
  48. Morosan, C. & Jeong, M. (2008). "Users' Perceptions of Two Types of Hotel Reservation Web Sites." International Journal of Hospitality Management, 27(2): 284-292. https://doi.org/10.1016/j.ijhm.2007.07.023
  49. Palmer, J. W. (2002). "Web Site Usability, Design, and Performance Metrics." Information Systems Research, 13(2): 151-167. https://doi.org/10.1287/isre.13.2.151.88
  50. Parasuraman, A., A. V. Zeithaml, & L. L. Berry (1988). SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality, Journal of Retailing. 1988, 64(1): p. 12-40.
  51. Parasuraman, A., Zeithaml, V. A. & Malhotra, A. (2005). "Es-Qual: A Multiple-Item Scale for Assessing Electronic Service Quality." Journal of service research, 7(3): 213-233. https://doi.org/10.1177/1094670504271156
  52. Raymond, L. & Bergeron, F. (2008). "Project Management Information Systems: An Empirical Study of Their Impact on Project Managers and Project Success." International Journal of Project Management, 26(2): 213-220. https://doi.org/10.1016/j.ijproman.2007.06.002
  53. Ruth, C. J. (2000). Applying a Modified Technology Acceptance Model to Determine Factors Affecting Behavioral Intentions to Adopt Electronic Shopping on the World Wide Web: A Structural Equation Modeling Approach. Drexel University.
  54. Safari, F., N. Safari, & A. Hasanzadeh (2015). "The adoption of software-as-a-service (SaaS): ranking the determinants." Journal of Enterprise Information Management, 28(3): 400-422. https://doi.org/10.1108/JEIM-02-2014-0017
  55. Szajna, B. (1996). "Empirical Evaluation of the Revised Technology Acceptance Model." Management science, 42(1): 85-92. https://doi.org/10.1287/mnsc.42.1.85
  56. Taylor, S. & Todd, P. A. (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
  57. Turner, M., Budgen, D. & Brereton, P. (2003). "Turning Software into a Service," Computer, 36(10): 38-44. https://doi.org/10.1109/MC.2003.1236470
  58. Venkatesh, V. & F.D. Davis (1996). "A model of the antecedents of perceived ease of use: Development and test." Decision sciences, 27(3): 451-481. https://doi.org/10.1111/j.1540-5915.1996.tb01822.x
  59. Venkatesh, V. & Bala, H. (2008). "Technology Acceptance Model 3 and a Research Agenda on Interventions." Decision sciences, 39(2): 273-315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
  60. 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
  61. Venkatesh, V., Morris, M. G., Davis, G. B. & Davis, F. D. (2003). "User Acceptance of Information Technology: Toward a Unified View." MIS Quarterly, 27(3): 425-478. https://doi.org/10.2307/30036540
  62. Wang, Y. & Qualls, W. (2007). "Towards a Theoretical Model of Technology Adoption in Hospitality Organizations." International Journal of Hospitality Management, 26(3): 560-573. https://doi.org/10.1016/j.ijhm.2006.03.008
  63. Wikipedia.org (2017). "Interoperability." https://en.wikipedia.org/wiki/Interoperability: Wikipedia.org.
  64. Wixom, B. H. & Todd, P. A. (2005). "A Theoretical Integration of User Satisfaction and Technology Acceptance." Information Systems Research, 16(1): 85-102. https://doi.org/10.1287/isre.1050.0042
  65. Xin, M. & N. Levina (2008). "Software-as-a-Service Model: Elaborating Client-side Adoption Factors." in the 29th International Conference on Information Systems. 2008. Paris, France.
  66. Yang, Z., et al., (2015). "Understanding SaaS adoption from the perspective of organizational users: A tripod readiness model." Computers in Human Behavior, 45: 254-264. https://doi.org/10.1016/j.chb.2014.12.022