조직변화와 성과 간 상호역동에 관한 연구: 미국프로농구팀의 트레이드와 플레이오프 진출 여부에 따른 조절된 매개효과

The Dynamics of Organizational Change: Moderated Mediating Effects of NBA Teams' Playoff Berth

  • 투고 : 2023.07.10
  • 심사 : 2023.08.28
  • 발행 : 2023.08.31

초록

조직은 환경변화에 적응하고 보다 나은 성과를 거두기 위해 지속적인 조직변화를 추구해야 한다. 하지만, 당연한 명제에도 불구하고 조직성과나 변화를 조작화의 어려움 때문에 해당 연구 분야에 대한 실증분석이 거의 이루어지지 않은 실정이다. 본 연구에서는 이러한 한계점을 극복하기 위해 조직변화나 성과를 객관적으로 측정하고 평가하기에 적합만 자료가 비교적 체계적으로 구축된 프로스포츠팀을 기업조직으로 상정하여 조직변화의 원인과 효과를 분석하였다. 이를 위해 미국프로농구(National Basketball Association: NBA)팀의 8개 시즌(2014~2015-2021~2022)의 경기기록 및 트레이드 자료를 체계적으로 수집하고 전처리하여 SPSS 26.0에 설치한 프로세스 매크로 4.2의 7번 모형을 활용하여 분석했다. 실증분석 결과, NBA의 경우 직전 시즌 성적이 낮은 팀일수록 트레이드를 통한 조직변화를 더욱 활발하게 시도하여 성과를 도출하기 위한 조직의 역동이 크다고 볼 수 있으며, 트레이드는 직전 시즌의 승률과 해당 시즌 승률 간의 정(+)적 관계를 매개하는 것으로 나타났다. 하지만, 트레이드를 통한 팀의 직전 시즌 성적의 간접효과는 각 구단의 상황에 따라 다르게 나타나는 것으로 드러났다. 직전 시즌 플레이오프에 진출한 팀은 그렇지 않은 팀에 비해 같은 성적일지라도 트레이드를 적게 시행하는 경향성을 보이며, 직전 시즌의 성적이 해당 시즌의 성적과 높은 관련성을 지닌다. 반면에 직전 시즌 플레이오프에 진출하지 못한 팀은 상대적으로 큰 규모의 트레이드를 단행하는 경향성을 보였으며, 이 경우 트레이드의 매개효과는 사라지는 것으로 나타났다. 즉, 직전 시즌에 플레이오프 진출에 실패한 팀은 같은 승률을 달성하였더라도 플레이오프에 진출한 팀에 비해 트레이드를 통한 성적변화가 더 크게 발생한다는 것을 알 수 있다. 이러한 프로스포츠팀의 조직변화와 성과 간의 역동에 관해 실증하여 제시함으로써, 프로스포츠팀의 조직변화가 어느 시점에 더 효과적인지를 분석하였다는 점에서 이론과 실무적 시사점을 지닌다.

Organizations must seek change in order to adapt to environmental changes and achieve better performance. However, despite this obvious statement, empirical analysis has been almost non-existent due to the difficulty of manipulating organizational performance or change. In this study, we overcame these limitations and analyzed the causes and effects of organizational change by assuming a professional sports team as a venture company, which is relatively easy to objectively measure and evaluate organizational change or performance. We systematically collected and preprocessed traditional and advanced metrics of National Basketball Association (NBA) statistics along with preprocessed trade data from eight years of regular seasons (2014~2015-2021~2022) to analyze our research model. Assessment of process macro model 7 derives the following empirical result. The results of the empirical analysis depict that NBA teams with low organizational performance in the previous season are more likely to make organizational changes through player trades to improve performance. Into the bargain player trades mediate the static relationship between the winning percentage in the previous season and the winning percentage in the current season. However, the indirect effect of a team's previous season's performance on player trades appears to vary depending on the current situations and context of each NBA team. Teams that made the playoffs in the previous season tend to make fewer trades than teams that did not and the previous season's performance is highly correlated with the current season's performance. On the other hand, teams that did not make the playoffs in the previous season tend to make a relatively larger amount of player trades in total, and the mediating effect of trades vanishes in this case. In other words, teams that did not make the playoffs in the previous season experience a larger change in performance due to trades than teams that made the playoffs, even if they achieved the same winning percentage. This empirical analysis of the inverse relationship between organizational change and the performance of professional sports teams has both theoretical and practical implications in the field of sports industry and management by analyzing the fundamentals of organizational change and the performance of professional sports teams.

키워드

참고문헌

  1. Alamar, B.(2013). Sports analytics. In Sports Analytics. Columbia University Press.
  2. AlKayid, K., Selem, K. M., Shehata, A. E., & Tan, C. C.(2022). Leader vision, organizational inertia and service hotel employee creativity: Role of knowledge-donating. Current Psychology, 42, 3382-3394.  https://doi.org/10.1007/s12144-022-02743-6
  3. An, S. H., & Kim, Y. M.(2022). Prediction of Key Variables Affecting NBA Playoffs Advancement: Focusing on 3 Points and Turnover Features. Journal of Intelligence and Information Systems, 28(1), 263-286.  https://doi.org/10.13088/JIIS.2022.28.1.263
  4. Audia, P. G., Locke, E. A., & Smith, K. G.(2000). The paradox of success: An archival and a laboratory study of strategic persistence following radical environmental change. Academy of Management Journal, 43(5), 837-853.  https://doi.org/10.2307/1556413
  5. Baek, H. Y., Chang, Y. K., & Yang, D. H.(2021). A Study for Qualitative Measurement of Shared Leadership: Corpus Analysis with Media Coverage for Korean Baseball Managers. The Korean Leadership Review, 12(1), 135-162.  https://doi.org/10.22243/tklq.2021.12.1.135
  6. Barnett, W. P., & Pontikes, E. G.(2008). The Red Queen, success bias, and organizational inertia. Management Science, 54(7), 1237-1251.  https://doi.org/10.1287/mnsc.1070.0808
  7. Baron, R. M., & Kenny, D. A. (1986). The moderatormediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182.  https://doi.org/10.1037/0022-3514.51.6.1173
  8. Barros, G.(2010). Herbert A. Simon and the concept of rationality: boundaries and procedures. Brazilian Journal of Political Economy, 30(3), 455-472.  https://doi.org/10.1590/S0101-31572010000300006
  9. Beer, M., & Nohria, N.(2000). Cracking the code of change. Harvard Bus. Rev. 78(May-June) 133-141. 
  10. Bryson, A., Buraimo, B., Farnell, A., & Simmons, R.(2021). Time to go? Head coach quits and dismissals in professional football. De Economist, 169, 81-105.  https://doi.org/10.1007/s10645-020-09377-8
  11. Canning, J., & Found, P. A.(2015). The effect of resistance in organizational change programmes: A study of a lean transformation. International Journal of Quality and Service Sciences, 7(2/3), 274-295.  https://doi.org/10.1108/IJQSS-02-2015-0018
  12. Chomitz, K. M., Koenig, P. Y., Melancon, G., & Renoust, B.(2016). Survival of the fittest? Using network methods to assess the diffusion of project design concepts. Using Network Methods to Assess the Diffusion of Project Design Concepts(March 16, 2016). World Bank Policy Research Working Paper, (7601). 
  13. Cyert, R. M., & March, J. G.(1963). A behavioral theory of the firm. Englewood Cliffs, NJ, 2(4), 169-187. 
  14. de Dios Tena, J., & Forrest, D.(2007). Within-season dismissal of football coaches: Statistical analysis of causes and consequences. European Journal of Operational Research, 181(1), 362-373.  https://doi.org/10.1016/j.ejor.2006.05.024
  15. DiMaggio, P. J., & Powell, W. W.(1983). The iron cage revisited: Institutional isomorphism and collective rationality in organizational fields. American Sociological Review, 48, 147-160.  https://doi.org/10.2307/2095101
  16. Gilbert, C. G.(2005). Unbundling the structure of inertia: Resource versus routine rigidity. Academy of Management Journal, 48(5), 741-763.  https://doi.org/10.5465/amj.2005.18803920
  17. Hammerschmidt, J., Kraus, S., & Jones, P.(2022). Sport entrepreneurship: definition and conceptualization. Journal of Small Business Strategy, 32(2), 1-10.  https://doi.org/10.53703/001c.31718
  18. Hayes, A. F.(2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs, 76(4), 408-420.  https://doi.org/10.1080/03637750903310360
  19. Hayes, A. F.(2012). PROCESS: A versatile computational tool for observed variable mediation, moderation, and conditional process modeling. 
  20. Hayes, A. F.(2015). An index and test of linear moderated mediation. Multivariate Behavioral Research, 50(1), 1-22.  https://doi.org/10.1080/00273171.2014.962683
  21. Hayes, A. F.(2018). Partial, conditional, and moderated moderated mediation: Quantification, inference, and interpretation. Communication Monographs, 85(1), 4-40.  https://doi.org/10.1080/03637751.2017.1352100
  22. Holcomb, T. R., Holmes Jr, R. M., & Connelly, B. L.(2009). Making the most of what you have: Managerial ability as a source of resource value creation. Strategic Management Journal, 30(5), 457-485.  https://doi.org/10.1002/smj.747
  23. Huang, H. C., Lai, M. C., Lin, L. H., & Chen, C. T.(2013). Overcoming organizational inertia to strengthen business model innovation: An open innovation perspective. Journal of Organizational Change Management, 26(6), 977-1002.  https://doi.org/10.1108/JOCM-04-2012-0047
  24. Jacobs, G., Van Witteloostuijn, A., & Christe-Zeyse, J.(2013). A theoretical framework of organizational change. Journal of Organizational Change Management, 26(5), 772-792.  https://doi.org/10.1108/JOCM-09-2012-0137
  25. Jeong. T. S., Kim, P., Lee, S. H., & Lee, S. B.(2022). The Effects of Managers on Organizational Performance in NBA and KBL Teams: The Moderating Role of Player Capabilities. Asia-Pacific Journal of Business Venturing and Entrepreneurship, 17(6), 195-208. 
  26. Kelly, D., & Amburgey, T. L.(1991). Organizational inertia and momentum: A dynamic model of strategic change. Academy of Management Journal, 34(3), 591-612.  https://doi.org/10.2307/256407
  27. Kim, J. C.(2001). A study on the inertia of firm's resource and organizational mortality: Ecological perspective on electric appliance industry. Doctoral Dissertation, Myounji University. 
  28. Kim, P. S.(2020). Manager Coaching Tenure, Capabilities, and Turnover Effects on Performance of Korean Professional Baseball Teams. Korean Journal of Sport Management, 25(5), 59-78. 
  29. Kim, P. S., & Kim, D. K.(2015). The Effects of Coach Turnover and Sport Team Performance: Evidence from the Korean Professional Soccer League 1983-2013. The Korean Journal of Physical Ecucaation, ,54(4), 329-345. 
  30. Kim, P. S., & Lee, S. H.(2022). The Effects of Resource-based Determinants on Team Performance of Korean Professional Baseball Teams. Korean Journal of Sport Management, 27(5), 16-37. 
  31. Kim, P. S., & Lee, S. H.(2023). The Determinants of Winning Probability of Korean Professional Basketball Teams based on Logistic Regression Models : An Application of Resource Based View and Contingent Theory. Korean Journal of Sport Management, 28(1), 44-59. 
  32. Kim, P. S., Jeong, T. S., & Lee, S. H.(2023). The Effects of Compensation and Pay Dispersion on Organizational Productivity and Performance: The Case of Korean Professional Basketball Teams. Asia-Pacific Journal of Business Venturing and Entrepreneurship, 18(2), 127-139.  https://doi.org/10.16972/APJBVE.18.2.202304.127
  33. Kim, S. K., & Lee, Y. H.(2016). The estimation of winning rate in Korean professional baseball league. Journal of the Korean Data And Information Science Society, 27(3), 653-661.  https://doi.org/10.7465/jkdi.2016.27.3.653
  34. Kim, J. W., & Kim, K. M.(2011). Does pay dispersion within a team enhance team performance? An analysis of Korean professional baseball data. Quarterly Journal of Labor Policy, 11(1), 1-23.  https://doi.org/10.22914/JLP.2011.11.1.001
  35. Kim, J. H., & Hwang, S. J.(2022). A DEA Analysis of the Effect of High Efficient Pitchers on the Team's Advance to the Post Season of the Korean Baseball League. Korean Journal of Industrial and Systems Engineering, 45(2),30-36.  https://doi.org/10.11627/jksie.2022.45.2.030
  36. Levinthal, D. A., & March, J. G.(1993). The myopia of learning. Strategic Management Journal, 14(S2), 95-112.  https://doi.org/10.1002/smj.4250141009
  37. Mizruchi, M. S., & Fein, L. C.(1999). The social construction of organizational knowledge: A study of the uses of coercive, mimetic, and normative isomorphism. Administrative Science Quarterly, 44(4), 653-683.  https://doi.org/10.2307/2667051
  38. Moore, N., & Levermore, R.(2012). English professional football clubs: Can business parameters of small and medium-sized enterprises be applied?. Sport, Business and Management: An International Journal. 2(3), 196-209.  https://doi.org/10.1108/20426781211261511
  39. Pardo del Val, M., & Martinez Fuentes, C.(2003). Resistance to change: A literature review and empirical study. Management Decision, 41(2), 148-155.  https://doi.org/10.1108/00251740310457597
  40. Park, J. H., Sung, Y. D., & Lee, D. H.(2012). Timing of Leader Succession and Organizational Performance in Korean Baseball League: An Integrative Approach in Organizational Learning. Journal of Organization and Management, 36(2), 33-60. 
  41. Pettigrew, A. M., Woodman, R. W., & Cameron, K. S.(2001). Studying organizational change and development: Challenges for future research. Academy of Management Journal, 44(4), 697-713.  https://doi.org/10.2307/3069411
  42. Peterson, R. S., & Behfar, K. J.(2003). The dynamic relationship between performance feedback, trust, and conflict in groups: A longitudinal study. Organizational Behavior and Human Decision Processes, 92(1-2), 102-112.  https://doi.org/10.1016/S0749-5978(03)00090-6
  43. Preacher, K. J., & Hayes, A. F.(2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879-891.  https://doi.org/10.3758/BRM.40.3.879
  44. Ratten, V.(2011). Sport-based entrepreneurship: towards a new theory of entrepreneurship and sport management. International Entrepreneurship and Management Journal, 7(1), 57-69.  https://doi.org/10.1007/s11365-010-0138-z
  45. Ratten, V., & Jones, P.(2020). New challenges in sport entrepreneurship for value creation. International Entrepreneurship and Management Journal, 16(3), 961-980.  https://doi.org/10.1007/s11365-020-00664-z
  46. Roh, T. S., Min, C. K., & Cho, Y. J.(2021). A comparative study of the Winning Contributors in the regula and the post seasons of the Korea Baseball league. Korean Journal of Sport Management, 26(1), 17-30.  https://doi.org/10.31308/KSSM.26.1.17
  47. Ryu, J. H., Han, J. W., & Kim, M. S.(2018). The prediction of the Korean Basketball League (KBL) winning percentage: Applying the possession concept. The Korean Journal of Physical Ecucaation, 29(1), 129-137.  https://doi.org/10.24985/kjss.2018.29.1.129
  48. Suh, J. E.(2022). How to Promote the Commercial Popularity of the Korean Professional Baseball League: A Game-Theoretic Approach Surrounding the Procedure Operating Its Postseason. Korean Journal of Economics, 70(3), 5-44. 
  49. Simon, H. A.(1955). A behavioral model of rational choice. The Quarterly Journal of Economics, 69(1), 99-118.  https://doi.org/10.2307/1884852
  50. Sirmon, D. G., Hitt, M. A., & Ireland, R. D.(2007). Managing firm resources in dynamic environments to create value: Looking inside the black box. Academy of Management Review, 32(1), 273-292.  https://doi.org/10.5465/amr.2007.23466005
  51. Taylor, C.(1985). Human Agency and Language. Cambridge University Press, Cambridge, U.K. 
  52. Tsoukas, H., & Chia, R.(2002). On organizational becoming: Rethinking organizational change. Organization Science, 13(5), 567-582.  https://doi.org/10.1287/orsc.13.5.567.7810
  53. Van den Heuvel, S., & Schalk, R.(2009). The relationship between fulfilment of the psychological contract and resistance to change during organizational transformations. Social Science Information, 48(2), 283-313.  https://doi.org/10.1177/0539018409102415
  54. Vanessa, R.(2012). Sport entrepreneurship: challenges and directions for future research. International Journal of Entrepreneurial Venturing, 4(1), 65-76.  https://doi.org/10.1504/IJEV.2012.044819
  55. Wolfe, R. A., Weick, K. E., Usher, J. M., Terborg, J. R., Poppo, L., Murrell, A. J., Jourdan, J. S.(2005). Sport and organizational studies: Exploring synergy. Journal of Management Inquiry, 14(2), 182-210.  https://doi.org/10.1177/1056492605275245
  56. Yang, D. H., Ko, E. J., & Jang, Y. J.(2019). Impacts of Wage Difference and Wage Position on Individual Performance: The Case of Korea Baseball League. Quarterly Journal of Labor Policy, 19(1), 93-121.  https://doi.org/10.22914/JLP.2019.19.1.004
  57. Zan, L., & Zambon, S.(1993). Strategy, change, and the strategic approach: Making sense in process. Perspectives on Strategic Change, 1-41.