DOI QR코드

DOI QR Code

A Study on Project Performance in Cloud Computing : Focus on User Experience of GoogleDocs

클라우드 컴퓨팅 환경에서의 프로젝트 수행 성과에 관한 연구 : GoogleDocs 사용 경험을 중심으로

  • 우혁준 (연세대학교 정보대학원) ;
  • 심정현 (연세대학교 정보대학원) ;
  • 이정훈 (연세대학교 정보대학원)
  • Received : 2011.01.07
  • Accepted : 2011.02.11
  • Published : 2011.02.28

Abstract

There are expectations about future internet technology with IT development by end-users. Cloud computing is attracted to satisfy those demands. However, adoption of cloud computing is not active that much. Therefore, this study verified how cloud computing environment affects performance of team project. We conducted empirical study on performance of team project with cloud computing as technology tool focusing on Task-Technology Fit Model. We collected samples that were undergraduate and graduate school students and had experience on initial cloud computing such as Google-Docs and Webhard when they conducted team project for assignment. We focused on accessibility and reliability as task-technology fit and those variables treated as first order factor. Result showed that cloud computing is suitable technology tool for team project. This study suggests positive effects of cloud computing for collaboration by proving perceived fit and performance in initial cloud computing.

IT 기술의 발전으로 시간적, 물리적 제약을 넘은 미래 인터넷 기술에 대한 사용자들의 기대가 커지고 있다. 이러한 요구를 충족시키기 위해 최근 새로운 개념으로 주목 받고 있는 것이 클라우드 컴퓨팅이다. 그러나 이러한 긍정적인 전망에도 불구하고 클라우드 컴퓨팅의 도입은 활발히 이루어지고 있지 않고 있는 실정이다. 따라서 본 연구에서는 클라우드 컴퓨팅 환경의 특성이 프로젝트 수행성과에 어떠한 영향을 미치는가에 대하여 살펴보았다. 본 연구는 기술적 도구로써 클라우드 컴퓨팅을 과업과 기술의 적합성 모형에 적용하여 클라우드 컴퓨팅 환경에서 개인이 프로젝트를 수행할 시에 나타나는 성과에 대하여 실증적인 연구를 하였다. 대학교 및 대학원에서 팀 단위의 프로젝트를 수행할 때, 클라우드 컴퓨팅의 가장 널리 보급된 형태인 GoogleDocs 및 웹하드에 대한 사용경험이 있는 응답자를 대상으로 설문을 수행하였다. 본 연구에서는 클라우드 컴퓨팅 환경에서 프로젝트를 수행한다는 행위에 중점을 두어, 접근성과 신뢰성을 적합성을 파악하기 위한 1차 요인으로 정의하여 프로젝트의 상호의존성과 개인의 특성이 적합성 및 활용을 통하여 성과에 어떤 영향을 미치는지를 분석하였다. 연구결과, 클라우드 컴퓨팅 환경은 팀 단위의 프로젝트 수행에 있어 적합한 도구라는 사실을 규명하였다. 본 연구는 초기단계의 클라우드 컴퓨팅에 있어 개인이 지각하는 적합성 및 성과를 규명함으로써, 협업에서의 클라우드 컴퓨팅의 긍정적인 영향에 대한 근거를 제시한다.

Keywords

References

  1. 강소라 외, "업무-기술적합(TTF)이 그룹웨어 사용과 성과에 미치는 영향 : 조절효과를 중심으로", 한국경영학회, 제37권, 제1호, 2008, pp. 67-96.
  2. 권수갑, "클라우드 컴퓨팅 동향", 정보통신산업진흥원 주간 기술 동향, 1440, 2010.
  3. 류지영, "글로벌 IT기업 클라우드 컴퓨팅 시장 선점 혈투", in 서울신문, ed. 서울, 2010.
  4. 마코토 시로타, 클라우드의 충격 : 제이펍, 2009.
  5. 박선주 외, "범국가 차원의 ICT 신기술 패러다임: 클라우드 컴퓨팅 활성화 전략", CIO Report, 제17권, 2009, pp. 2-28.
  6. 성병용, "국내 기업의 클라우드 컴퓨팅 동향 및 전략", SW Insight 정책리포트, 제45권, 2009, pp. 6-25.
  7. 윤용익, 김스베틀라나, "모바일 클라우드 컴퓨팅 기술 동향", 정보통신산업진흥원 주간 기술 동향, 제1439권, 2010.
  8. 이강찬, 이승윤, "클라우드 컴퓨팅 표준화 동향 및 전략", 한국전자통신연구원, 제25권, 제1호, 2010, pp. 90-99.
  9. 이병길 외, "개인 사용자 중심의 클라우드 컴퓨팅 기술", 한국정보기술학회지, 제6권, 제1호, 2008, pp. 15-21.
  10. 이수안 외, "클라우드 컴퓨팅을 활용한 비지니스 인텔리전스", 정보통신산업진흥원 주간 기술 동향, 2010.
  11. 이윤희, "정보산업 비즈니스혁신을 위한 클라우드 컴퓨팅 도입", CIO Report, 제17권, 2009, pp. 30-35.
  12. 이종근, "클라우드 컴퓨팅, IT 산업 패러다임을 바꾼다", LG Business Insight, 2009, pp. 40-46.
  13. 이주영, "클라우드 컴퓨팅의 특징 및 사업자별 제공 서비스 현황", 정보통신정책연구원 방송통신정책, 제22권, 제6호, 2010.
  14. 이지평, 최동순, "클라우드 컴퓨팅이 주도하는 IT혁명의 뉴트렌드", 2010.
  15. 이하나 외, "클라우드 환경에서 자원의 이용 형태 분석을 통한 신뢰성 모델 구현", in 한국정보과학회 학술발표논문집, 2009, pp. 362-367.
  16. 임종태, "클라우드 시대를 준비하자", Available at : http://www.etnews.co.kr/ news/detail.html?id = 201007080023.
  17. Agarwal, R. and Karahanna, E., "Time Flies When You're Having Fun : Cognitive Absorption and Beliefs About Information Technology Usage," MIS Quarterly, 2000, pp. 665-694.
  18. Armbrust, M., et al., "A View of Cloud Computing," Communications of the ACM, Vol. 53, No. 4, 2010, pp. 50-58. https://doi.org/10.1145/1721654.1721672
  19. Barclay, D., et al., "The Partial Least Square(PLS) Approach to Casual Modeling : Personal Computer Adoption and Use as an Illustration," Technology, Vol. 2, No. 2, 1995, pp. 285-309.
  20. Benbasat, I., et al., "An Experimental Program Investigating Color-Enhanced and Graphical Information Presentation : An Integration of the Findings," Communications of the ACM, Vol. 29, No. 11, 1986, pp. 1094-1105. https://doi.org/10.1145/7538.7545
  21. Bishop, J. and Scott, K., "An Examination of Organizational and Team Commitment in a Self-Directed Team Environment 1," Journal of Applied Psychology, Vol. 85, No. 3, 2000, pp. 439-450. https://doi.org/10.1037/0021-9010.85.3.439
  22. Brown, S. and Chin, W., "Satisfying and Retaining Customers through Independent Service Representatives," Decision Sciences, Vol. 35, No. 3, 2004, pp. 527-550. https://doi.org/10.1111/j.0011-7315.2004.02534.x
  23. Burke, R., "Project Management : Planning and Control Techniques," Quest FOR Team Competence Software Project Management Organizational Change AS A Project Factors Impeding Project Management Learning, 1999, p. 81.
  24. Cassel, C., et al., "On Measurement of Intangible Assets : A Study of Robustness of Partial Least Squares," Total Quality Management and Business Excellence, Vol. 11, No. 7, 2000, pp. 897-907. https://doi.org/10.1080/09544120050135443
  25. Cheney, P., et al., "Organizational Factors Affecting the Success of End-User Computing," Journal of Management Information Systems, 1986, pp. 65-80.
  26. Chin, W., "Issues and Opinion on Structural Equation Modeling," MIS Quarterly, Vol. 22, No. 1, 1998, pp. 7-16.
  27. Chin, W., et al., "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, Vol. 14, No. 2, 2003, pp. 189-217. https://doi.org/10.1287/isre.14.2.189.16018
  28. Chin, W. and Newsted, P., "Structural Equation Modeling Analysis with Small Samples Using Partial Least Squares," Statistical Strategies for Small Sample Research, Vol. 2, 1999, pp. 307-342.
  29. Cohen, J., Statistical Power Analysis for the Behavioral Sciences : Lawrence Erlbaum, 1988.
  30. Davis, F., "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology," MIS Quarterly, Vol. 13, No. 3, 1989, pp. 319-340. https://doi.org/10.2307/249008
  31. Davis, F., et al., "User Acceptance of Computer Technology : A Comparison of Two Theoretical Models," Management Science, Vol. 35, No. 8, 1989, pp. 982-1003. https://doi.org/10.1287/mnsc.35.8.982
  32. Dennis, A., et al., "Understanding Fit and Appropriation Effects in Group Support Systems via Meta-Analysis," MIS Quarterly, Vol. 25, No. 2, 2001, pp. 167-193. https://doi.org/10.2307/3250928
  33. Dickson, G., et al., "Understanding the Effectiveness of Computer Graphics for Decision Support : A Cumulative Experimental Approach," Communications of the ACM, Vol. 29, No. 1, 1986, pp. 40-47. https://doi.org/10.1145/5465.5469
  34. Dishaw, M. and Strong, D., "Extending the Technology Acceptance Model with Task-Technology Fit Constructs," Information and Management, Vol. 36, No. 1, 1999, pp. 9-21. https://doi.org/10.1016/S0378-7206(98)00101-3
  35. Doll, W. and Torkzadeh, G., "The Measurement of End-User Computing Satisfaction," MIS Quarterly, Vol. 12, No. 2, 1988, pp. 259-274. https://doi.org/10.2307/248851
  36. Duncan, W., et al., "A Guide to the Project Management Body of Knowledge," 1996.
  37. Falk, R. and Miller, N., "A Primer for Soft Modeling : University of Akron Press Akron," OH, 1992.
  38. Ferratt, T. and Vlahos, G., "An Investigation of Task-Technology Fit for Managers in Greece and the US," European Journal of Information Systems, Vol. 7, No. 2, 1998, pp. 123-136. https://doi.org/10.1057/palgrave.ejis.3000288
  39. Fiol, C. and O'Connor, E., "Identification in Face-to-Face, Hybrid, and Pure Virtual Teams : Untangling the Contradictions," Organization Science, Vol. 16, No. 1, 2005, pp. 19-32. https://doi.org/10.1287/orsc.1040.0101
  40. Fornell, C., "A Second Generation of Multivariate Analysis : Classification of Methods and Implications for Marketing Research," Review of Marketing, 1987, pp. 407-450.
  41. Fornell, C. and Larcker, D., "Evaluating Structural Equation Models with Unobservable Variables and Measurement Error," Journal of Marketing Research, Vol. 18, No. 1, 1981, pp. 39-50. https://doi.org/10.2307/3151312
  42. Foster, I., et al., "Cloud Computing and Grid Computing 360-Degree Compared," Grid Computing Evironments Workshop, 2009, pp. 1-10.
  43. Gillett, F., "Future View : The New Tech Ecosystems of Cloud, Cloud Services, and Cloud Computing," Future, 2008.
  44. Goodhue, D., "Development and Measurement Validity of a Task Technology Fit Instrument for User Evaluations of Information System," Decision Sciences, Vol. 29, No. 1, 1998, pp. 105-138. https://doi.org/10.1111/j.1540-5915.1998.tb01346.x
  45. Goodhue, D., "Understanding User Evaluations of Information Systems," Management Science, 1995, pp. 1827-1844.
  46. Goodhue, D. and Thompson, R., "Task- Technology Fit and Individual Performance," MIS Quarterly, Vol. 19, No. 2, 1995, pp. 213-236. https://doi.org/10.2307/249689
  47. Janssen, O., et al., "How Task and Person Conflict Shape the Role of Positive Interdependence in Management Teams," Journal of Management, Vol. 25, No. 2, 1999, p. 117.
  48. Lee, C., et al., "An Empirical Study of Mobile Commerce in Insurance Industry: Task-Technology Fit and Individual Differences," Decision Support Systems, Vol. 43, No. 1, 2007, pp. 95-110. https://doi.org/10.1016/j.dss.2005.05.008
  49. Lee, K., et al., "Analysis of Mobile Commerce Performance by Using the Task- Technology Fit," Mobile Information Systems, 2005, pp. 135-153.
  50. Lucas Jr, H., "The Analysis, Design, and Implementation of Information Systems : McGraw-Hill," Inc. New York, NY, USA, 1985.
  51. Lucas Jr, H., "Performance and the Use of an Information System," Management Science, Vol. 21, No. 8, 1975, pp. 908-919. https://doi.org/10.1287/mnsc.21.8.908
  52. Mathieson, K. and Keil, M., "Beyond the Interface: Ease of Use and Task/Technology Fit," Information and Management, Vol. 34, No. 4, 1998, pp. 221-230. https://doi.org/10.1016/S0378-7206(98)00058-5
  53. Mell, P. and Grance, T., "The NIST Definition of Cloud Computing," National Institute of Standards and Technology, 2009.
  54. Niko, D. L. and Kim, C.-S., "A Study on the Characteristic and Improvement of Cloud Computing," in Korean Society for Internet Information, 2010, pp. 803- 806.
  55. Nunnally, J. and Bernstein, I., "Psychometric Theory New York," Chayaput P. Development and psychometric evaluation of the Thai version of the coping and adaptation processing scale.[Tesis Doctoral]. Massachusetts, 2004.
  56. O'Leary, M. and Cummings, J., "The Spatial, Temporal, and Configurational Characteristics of Geographic Dispersion in Teams," MIS Quarterly, Vol. 31, No. 3, 2007, pp. 433-452. https://doi.org/10.2307/25148802
  57. Rai, A., et al., "Firm Performance Impacts of Digitally Enabled Supply Chain Integration Capabilities," MIS Quarterly, Vol. 30, No. 2, 2006, p. 3.
  58. Robey, D., "User Attitudes and Management Information System Use," Academy of Management Journal, Vol. 22, No. 3, 1979, pp. 527-538. https://doi.org/10.2307/255742
  59. Singh, J., et al., "Behavioral and Psychological Consequences of Boundary Spanning Burnout for Customer Service Representatives," Journal of Marketing Research, Vol. 31, No. 4, 1994, pp. 558- 569. https://doi.org/10.2307/3151883
  60. Staples, D. and Webster, J., "Exploring the Effects of Trust, Task Interdependence and Virtualness on Knowledge Sharing in Teams," Information Systems Journal, Vol. 18, No. 6, 2008, pp. 617-640. https://doi.org/10.1111/j.1365-2575.2007.00244.x
  61. Staten, J., "Is Cloud Computing Ready For The Enterprise?," Forrester Research, March, Vol. 7, 2008.
  62. Swanson, E., "Information Channel Disposition and Use," Decision Sciences, Vol. 18, No. 1, 1987, pp. 131-145. https://doi.org/10.1111/j.1540-5915.1987.tb01508.x
  63. Thompson, R., et al., "Personal Computing: Toward a Conceptual Model of Utilization," MIS Quarterly, Vol. 15, No. 1, 1991, pp. 125-143. https://doi.org/10.2307/249443
  64. Vaquero, L., et al., "A Break in the Clouds: Towards a Cloud Definition," ACM SIGCOMM Computer Communication Review, Vol. 39, No. 1, 2009.
  65. Wilson, B. and Henseler, J., "Modeling Reflective Higher-Order Constructs Using Three Approaches with PLS Path Modeling: A Monte Carlo Comparison," in Australian and New Zealand Marketing Academy Conference, Dunedin, New Zealand, 2007, pp. 3-5.
  66. Zigurs, I. and Buckland, B., "A Theory of Task/Technology Fit and Group Support Systems Effectiveness," MIS Quarterly, Vol. 22, No. 3, 1998, pp. 313-334. https://doi.org/10.2307/249668

Cited by

  1. Exploring the Korean Government Policies for Cloud Computing Service vol.18, pp.3, 2013, https://doi.org/10.7838/jsebs.2013.18.3.001
  2. A Study on the Architecture of Cloud Hospital Information System for Small and Medium Sized Hospitals vol.20, pp.3, 2015, https://doi.org/10.7838/jsebs.2015.20.3.089
  3. An Empirical Study on Factors Affecting the Assimilation of Inter-Organizational Cloud Computing and Performance and the Moderating Effect of Trust vol.13, pp.3, 2014, https://doi.org/10.9716/KITS.2014.13.3.001
  4. 반강제적 환경에서 정보시스템 의존에 미치는 영향요인 연구: 공공기관 KMS 활용 사례와 전환비용의 매개적 역할을 중심으로 vol.21, pp.2, 2011, https://doi.org/10.5859/kais.2012.21.2.45
  5. 인터넷전문은행의 지속 사용 의도에 영향을 미치는 요인에 대한 연구: 업무-기술 적합성 이론을 활용하여 vol.23, pp.3, 2011, https://doi.org/10.7838/jsebs.2018.23.3.111
  6. 게임개발 조직의 특성이 게임개발 성과에 미치는 영향 vol.18, pp.6, 2011, https://doi.org/10.7583/jkgs.2018.18.6.83
  7. 스마트 교육을 활용한 팀 기반 문제 중심 학습의 효과: 고위험 신생아 간호를 중심으로 vol.25, pp.4, 2011, https://doi.org/10.4094/chnr.2019.25.4.507