Information Systems Review (경영정보학연구)

The Korea Society of Management Information Systems (한국경영정보학회)
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The Effect of Switching Costs on user Resistance in the Adoption of Open Source Software

오픈소스 소프트웨어 도입 시 전환비용이 사용자 저항에 미치는 영향

  • 김희웅 (연세대학교 정보대학원) ;
  • 노승의 (연세대학교 정보대학원) ;
  • 이현령 (연세대학교 정보대학원) ;
  • 곽기영 (국민대학교 비즈니스 IT 학부)
  • Published : 2009.12.31
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Abstract

The emergence of open source software(OSS) with its most prominent advantages creates a vast interest among practitioners. A study on Linux, the most well-known OSS, estimated that it would cost as 5.4 billion Euros taking over 73,000 person-years if it had been developed by conventional means. However, Linux has achieved only 0.65 percent of the operating system market for individual users while Microsoft windows family counts for nearly 90 percent of the market. Much of the effort being spent in the development of OSS is going to waste and potential value that OSS can bring to users is not being realized. Adoption of OSS is often accompanied by the discontinuance of existing software that is already in place. If users resist changing, they may not adopt OSS. Using the case of Linux, this study examines user resistance to change from the commercial operating software to the free operating system. This study identifies six sub-types of switching costs (uncertainty, emotional, setup, learning, lost benefit, and sunk costs) and tests their effects on user resistance to change based on a survey of 201 users. The results show that user resistance to change has a negative impact on the adoption of OSS. Further, this study shows that uncertainty and emotional costs have significant effects on user resistance to change. Beyond previous research on technology adoption, this research contributes towards an understanding of the switching costs leading to user resistance to change and offers suggestions to OSS practitioners for developing strategies to improve the adoption of OSS.

우수한 이점들을 갖춘 오픈소스 소프트웨어(OSS)의 출현은 많은 사람들에게 상당한 흥미를 불러일으켰다. 대표적인 OSS로 알려진 리눅스(Linux)에 관한 연구에서 보편적인 방법으로 개발할 경우, 약 54억 유로의 비용이 들고, 연 73,000명의 개발자들이 필요할 것이라고 추정하였다. 그러나 리눅스는 개인사용자들을 위한 운영체제 시장 점유의 0.65퍼센트만을 차지하고 있었고 이는 마이크로소프트 윈도우즈 제품이 전체의 90퍼센트를 차지하는 것과 대조적인 것이었다. OSS의 개발에 사용된 대부분의 노력들이 낭비되거나, 잠재적인 가치가 실제적으로 사용자들에게는 의미 없게 되는 결과였다. OSS의 채택은 현재의 소프트웨어의 사용을 중단함과 동시에 새로운 소프트웨어로 변경(전환)하는 것이다. 만약 사용자들이 전환하기를 주저한다면, OSS를 채택할 수 없을 것이다. 본 연구에서는 리눅스 사례를 활용하여 현재 사용하고 있는 상업성의 운영체제를 무료 운영체제(오픈소스 소프트웨어)로 전환하는 것에 대한 사용자 저항을 조사하였다. 본 연구는 전환비용을 6개의 세부유형(불확실 비용, 감정비용, 설치비용, 학습비용, 이익 손실 비용, 매몰비용)으로 분류하고, 201명의 사용자들을 대상으로 한 설문결과를 바탕으로 변화에 대한 사용자 저항에 미치는 영향을 조사하였다. 조사 결과, 변화에 대한 사용자 저항은 OSS의 채택의도에 부정적인 영향을 주는 것으로 확인되었다. 또한 본 연구는 불확실 비용과 감정비용이 변화에 대한 사용자 저항에 유의한 영향을 미치는 것으로 조사되었다. 기술 수용에 관한 선행연구들을 뛰어넘어, 본 연구는 전환비용이 변화에 대한 사용자 저항에 영향을 미치는 것을 이해하는데 공헌하고, OSS의 채택을 향상시키기 위한 전략을 개발하는 OSS 주창자들에게 제언하는데 의미가 있다.

Keywords

References

  1. Ajila, S. A. and D. Wu, "Empirical study of the effects of open source adoption on software development economics", The Journal of Systems and Software, Vol.80, Fall 2007, pp. 1517-1529
  2. Ajzen, I., "The theory of planned behavior", Organizational Behavior and Human Decision Processes, Vol.50, 1991, pp. 179-211 https://doi.org/10.1016/0749-5978(91)90020-T
  3. Amor, J. J., G. Robles, J. M. Gonzalez-Barahona, and J. F. Pena, "Measuring Etch: the size of Debian 4.0", 2007, [https://penta.debconf.org/~joerg/attachments/33-measuring_etch_slides.pdf.]
  4. Anderson, J. C. and D. W. Gerbing, "Structural equation modeling in practice: A review and recommended two-step approach", Psychological Bulletin, Vol.103, No.3, Fall 1988, pp. 411-423 https://doi.org/10.1037/0033-2909.103.3.411
  5. Bansal, H. S. and S. F. Taylor, "The Service Provider Switching Model", Journal of Service Research, Vol.2, No.2, 1999, pp. 200-218 https://doi.org/10.1177/109467059922007
  6. Baron, R. M. and D. A. Kenny, "The moderatormediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations", Journal of Personality and Social Psychology, Vol.51, No.6, 1986, pp. 1173-1182 https://doi.org/10.1037/0022-3514.51.6.1173
  7. Beatty, S. E., M. Mayer, J. E. Coleman, K. E. Reynolds, and J. Lee, "Customer-sales associate retail relationships", Journal of Retailing, Vol.72, No.3, 1996, pp. 223-247 https://doi.org/10.1016/S0022-4359(96)90028-7
  8. Bell, S. J., S. Auh, and K. Smalley, "Customer relationship dynamics: Service quality and customer loyalty in the context of varying levels of customer expertise and switching costs", Journal of the Academy Marketing Science, Vol.33, No.2, 2005, pp. 169-183 https://doi.org/10.1177/0092070304269111
  9. Bendapudi, N. and L. L. Berry, "Customers’ motivations for maintaining relationships with service providers", Journal of Retailing, Vol.73, No.1, 1997, pp. 15-37 https://doi.org/10.1016/S0022-4359(97)90013-0
  10. Bovey, W. H. and A. Hede, "Resistance to organizational change: the role of defense mechanisms", Journal of Managerial Psychology, Vol.16, No.7, Fall 2001, pp. 534-548 https://doi.org/10.1108/EUM0000000006166
  11. Burnham, T. A., J. K. Frels, and V. Mahajan, "Consumer switching costs: A typology, antecedents, and consequences", Journal of the Academy of Marketing Science, Vol.31, No.2, 2003, pp. 109-203 https://doi.org/10.1177/0092070302250897
  12. Chen, P. and L. M. Hitt, "Measuring Switching Costs and the Determinants of Customer Retention in Internet-Enabled Businesses: A Study of the Online Brokerage Industry", Information Systems Research, Vol.13, No.2, Fall 2002, pp. 255-274
  13. Davis, F. D., "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
  14. Dedrick, J. and J. West, "Why Firms Adopt Open Source Platforms: A Grounded Theory of Innovation and Standards Adoption", In Proceedings of the MIS Quarterly Special Issue Workshop on Standard Marketing: A Critical Research Frontier for Information Systems, J. L. King and K. Lyytinen (Eds.), Seattle, WA, Vol.12, No.14, December 2003, pp. 236-257. [http://www.si.umich.edu/misq-stds/proceedings]
  15. Federman, M., "The penguinist discourse: A critical application of open source software project management to organization development", Organization Development Journal, Vol.24, No.2, 2006, pp. 89-100
  16. Fornell, C. and D. Larcker, "Evaluating structural equation models with unobservable variables and measurement error", Journal of Marketing Research, Vol.18, Fall 1981, pp. 39-50 https://doi.org/10.2307/3151312
  17. Fuggetta, A., "Open source software-An evaluation", Journal of Systems and Software, Vol.66, No.1, 2003, pp. 77-90 https://doi.org/10.1016/S0164-1212(02)00065-1
  18. Gaumnitz, J. E. and D. R. Emery, "Asset growth, abandonment value, and the replacement decision of like-for like capital assets", Journal of Financial and Quantitative Analysis, Vol.15, No.2, 1980, pp. 407-415 https://doi.org/10.2307/2330354
  19. Gefen, D., D. W. Straub, and M. Boudreau, "Structural equation modeling techniques and regression: guidelines for research practice", Communications of the AIS, Vol.4, No.7, 2000, pp. 2-76
  20. Guiltinan, J. P., "A classification of switching costs with implications for relationship marketing", In 1989 AMAWinter Educators' Conference:Marketing Theory and Practice, Terry L. Childers, Richard P. Bagozzi, and J. Paul Peter (Eds), Chicago: American Marketing Association, 1989, pp. 216-220
  21. Hair, J. F., R. E. Anderson, R. L. Tatham, and W. C. Black, Multivariate Data Analysis with Readings, Prentice Hall, Englewood Cliffs: NJ, 1998
  22. Hirschheim, R. and M. Newman, "Information Systems and User Resistance: Theory and Practice", Computer Journal, Vol.31, No.5, Fall 1988, pp. 398-408 https://doi.org/10.1093/comjnl/31.5.398
  23. Inder, B. and T. O'Brien, "The endowment effect and the role of uncertainty", Bulletin of Economic Research, Vol.55, No.3, 2003, pp. 289-301 https://doi.org/10.1111/1467-8586.00176
  24. Johnson, J. P., "Open source software: private provision of a public good", Journal of Economics and Management Strategy, Vol.11, No.4, 2002, pp. 637-662 https://doi.org/10.1162/105864002320757280
  25. Jones, M. A, D. L. Mothersbaugh, and S. E. Beatty, "Switching barriers and repurchase intentions", Journal of Retailing, Vol.76, No.2, 2000, pp. 259-274 https://doi.org/10.1016/S0022-4359(00)00024-5
  26. Jones, M. A., D. L. Mothersbaugh, and S. E. Beatty, "Why customers stay: measuring the underlying dimensions of services switching costs and managing their differential strategic outcomes", Journal of Business Research, Vol.55, 2002, pp. 441-450 https://doi.org/10.1016/S0148-2963(00)00168-5
  27. Kahneman, D. and A. Tversky, "The psychology of preference", Scientific American, Vol.246, No.1, 1982, pp. 160-173 https://doi.org/10.1038/scientificamerican0182-160
  28. Karahanna, E., D. W. Straub, and N. L. Chervany, "Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs", MIS Quarterly, Vol.23, No.2, 1999, pp. 183-213 https://doi.org/10.2307/249751
  29. Keil, M., J. Mann, and A. Rai, "Why software projects escalate: an empirical analysis and test of four theoretical models", MIS Quarterly, Vol.24, No.4, 2000, pp.631-664 https://doi.org/10.2307/3250950
  30. Klemperer, P., "Competition when consumers have switching costs: an overview with applications to industrial organization, macroeconomics, and international trade", Review of Economic Studies, Vol.62, 1995, pp. 515-539 https://doi.org/10.2307/2298075
  31. Kyle, G., A., Graefe, R. Manning, and J. Bacon, "Predictors of behavioral loyalty among hikers along the Appalachian trail", Leisure Science, Vol.26, 2004, pp. 99-118 https://doi.org/10.1080/01490400490272675
  32. Lam, S. Y., V. Shankar, and M. Murthy, "Customer value, satisfaction, loyalty, and switching costs: An illustration from a business-to-business context", Journal of the Academy of Marketing Science, Vol.32, No.3, 2004, pp. 293-311 https://doi.org/10.1177/0092070304263330
  33. Lapointe, L. and S. Rivard, "A multiple model of resistance to information technology implementation", MIS Quarterly, Vol.29, NO.3, 2005, pp. 461-491
  34. Lee, S. -Y. T., H. W. Kim, and S. Gupta, "Measuring open source software success", Omega Vol.37, No.2, 2008(Available online at www.sciencedirect.com on 7 June 2007)
  35. Lee, Y. and K. A. Kozar, "An empirical investigation of anti-spyware software adoption: A multitheoretical perspective", Information and Management, Vol.45, Fall 2008, pp. 109-119 https://doi.org/10.1016/j.im.2008.01.002
  36. Li, Y., C. H. Tan, H. H. Teo, and A. Siow, "A Human Capital Perspective Of Organizational Intention To Adopt Open Source Software", Proceedings of 26th Annual International Conference on Information Systems, Las Vegas, United States, December 2005, pp. 137-149
  37. Markus, M. L., "Power, politics, and MIS implementation", Communications of the ACM, Vol.26, No.6, Fall 1983, pp. 430-444 https://doi.org/10.1145/358141.358148
  38. McCracken, G., "Culture and Consumption: A Theoretical Account of the Structure and Movement of the Cultural Meaning of Consumer Goods", Journal of Consumer Research, Vol.13, June 1986, pp. 71-84 https://doi.org/10.1086/209048
  39. Mustonen, M., "Copyleft-the economics of Linux and other open source software", Information Economics and Policy, Vol.15, No.1, 2003, pp. 99-121 https://doi.org/10.1016/S0167-6245(02)00090-2
  40. Newman, M. and F. Noble, "User involvement as an interaction process: A case study", Information Systems Research, Vol.1, No.1, Fall 1990, pp. 89-113 https://doi.org/10.1287/isre.1.1.89
  41. Oreg, S., "Resistance to change: Developing an individual differences measure", Journal of Applied Psychology, Vol.88, No.4, Fall 2003, pp. 680-693 https://doi.org/10.1037/0021-9010.88.4.680
  42. Pardo del Val, M. P. and C. M. Fuentes, "Resistance to change: A literature review and empirical study", Management Decision, Vol.41, No.2, Fall 2003, pp. 148-155 https://doi.org/10.1108/00251740310457597
  43. Piderit, S. K., "Rethinking resistance and recognizing ambivalence: a multidimensional view of attitudes toward on organizational change", Academy of Management Review, Vol.25, No.4, Fall 2000, pp. 783-794 https://doi.org/10.2307/259206
  44. Pritchard, M. P., M. E. Havitz, and D. R. Howard, "Analyzing the Commitment-Loyalty Link in Service Contexts", Journal of the Academy of Marketing Science, Vol.27, No.3, 1999, pp. 333-348 https://doi.org/10.1177/0092070399273004
  45. Samuelson, W. and R. Zeckhauser, "Status quo bias in decision making", Journal of Risk and Uncertainty, Vol.1, Fall 1988, pp. 7-59 https://doi.org/10.1007/BF00055564
  46. Scacchi, W., "Understanding the requirements for developing open source software systems", IEE Proceedings-Software, Vol.149, No.1, 2002, pp. 24-39 https://doi.org/10.1049/ip-sen:20020202
  47. Sen, R., "Waiting For Usable Open Source Software? Don't Hold Your Breath!", Communications of the AIS, Vol.20, Fall 2007, pp. 382-392
  48. Sharma, V., V. Sugumaran, and B. Rajagopalan, "A Framework for Creating Hybrid-Open Source Software Communities", Information Systems Journal, Vol.12, Fall 2002, pp. 7-25 https://doi.org/10.1046/j.1365-2575.2002.00116.x
  49. Spanbauer, S., "Linux vs. Windows: The Rematch", PC World, October 2002. [http://www.pcworld.com/article/id, 104693-page, 1-c, linux/article.html]
  50. Venkatesh, V., M. G. Morris, G. B. Davis, and F. D. Davis, "User acceptance of information technology: Toward a unified view", MIS Quarterly, Vol.27, No.3, 2003, pp. 425-478
  51. Wheeler, D. A., "More Than a Gigabuck: Estimating GNU/Linux's Size", June 2001. [http://www.dwheeler.com/sloc/redhat71-v1/redhat71sloc.html]
  52. Wheeler, D. A., "Why Open Source Software/Free Software (OSS/FS, FLOSS, or FOSS)? Look at the Numbers!", 2007. [http://www.dwheeler.com/oss_fs_why.html]
  53. Whitten, D. and R. L. Wakefield, "Measuring switching costs in IT outsourcing services", Journal of Strategic Information Systems, Vol.15, Fall 2006, pp. 219-248 https://doi.org/10.1016/j.jsis.2005.11.002