Journal of Convergence for Information Technology (융합정보논문지)

Convergence Society for SMB (중소기업융합학회)
권호 표지
DOI QR코드

DOI QR Code

The Impact of Performance Information Use and Decision Making on Organization Performance

성과정보 활용행태 및 의사결정 행태가 조직성과에 미치는 영향

  • Cho, Munseok (Division of Public Administration, Han-Sung University) ;
  • Her, Dahye (Division of Public Administration, Yonsei University) ;
  • Eom, Young Ho (Division of Public Administration, Yonsei University)
  • Received : 2020.02.26
  • Accepted : 2020.04.20
  • Published : 2020.04.28
Download PDF
⟨ Previous Next ⟩

Abstract

This research empirically explores the relationship between types of performance information use, decision making behaviors and performance of government organizations. We measured two types of using performance information, relevance of performance index, variety of performance information, and levels of manager intervention by surveying performance managers of each government ministry or agency and also measured performance by using performance reports. The results of fuzzy-set qualitative comparative analysis suggest that hard use and soft use have impact on performance by combining with characteristics of performance information and managers decision-making by intervening performance management processes.

이 연구는 정부기관을 대상으로 성과정보의 활용 방식과 성과관리 과정에서 관리자의 의사결정 방식이 성과 달성 등에 미치는 영향을 실증적으로 규명하고자 하였다. 이 연구는 정부부처 성과관리 총괄담당자를 대상으로 성과정보 활용 방식, 성과지표의 적절성, 성과정보의 다양성, 관리자의 개입 수준을 조사하고, 부처별 성과 보고서를 통해 성과달성 수준을 측정하여 퍼지셋 질적분석모형을 적용하였다. 분석 결과 경성적 활용과 연성적 활용은 성과지표의 적절성 및 다양성과 조합되어 성과에 영향을 미치는 것으로 나타났으며, 과장급 관리자는 필요조건으로 사무관급은 성과지표의 적절성과 조합되어 성과에 긍정적 영향을 미치는 것으로 나타났다. 이는 정부 및 공공조직의 성과창출에 대한 영향 요인이 다양한 방식으로 조합됨을 시사하며, 후속 연구를 통해 학습의 왜곡 가능성과 시기별 편이의 한계를 극복할 필요성을 제기한다.

Keywords

References

  1. D. P. Moynihan & S. K. Pandey. (2010). The Big Question for Performance Management: Why Do Managers Use Performance Information? Journal of Public Administration Research and Theory, 20(4), 849-866. DOI : 10.1093/jopart/muq004
  2. M. S. Cho & J. S. Kim. (2018). Research on types of utilization form of public sector performance information: Central government agencies. Korean Public Management Review, 32(4), 2018.12, 155-177. DOI:10.24210/kapm.2018.32.4.007
  3. D. P. Moynihan, (2009). Through a Glass Darkly: Understanding the Effects of Performance Regimes. Public Performance & Management Review, 32(4), 586-598. https://doi.org/10.2753/PMR1530-9576320409
  4. Deschamps, C., & J. Mattijs. (2018). How Organizational Learning Is Supported by Performance Management Systems: Evidence from a Longitudinal Case Study. Public Performance & Management Review, 41(3), 469-496. DOI:10.1080/15309576.2018.1462213
  5. K. H. Lee & S, M Lee (2014). Study on utilizing the performance information of the government business evaluation system, Factors affecting usage, factors of system trust Korean. Public Administration Review, 48(3), 205-226
  6. C. Wanberg & J. Kameyer-Mueller. (2000). Prediction and Outcomes of Proactivity in the Socialization Process. Journal of Applied Psychology, 85(3), 373-385. DOI:10.1037/0021-9010.85.3.373
  7. S. Ashford, R. Blantt & D. Van de Walle. (2003). Reflections on the Looking Glass: A Review of Research on Feedback-seeking Behavioral in Organizations. Journal of Management, 29(6), 773-799. DOI:10.1016/S0149-2063(03)00079-5
  8. S. Korac, I. Saliterer, M. Sicilia & I. Steccolini. (2020). Contrasting and explaining purposeful and legitimizing uses of performance information: a mayor's perspective. Public Management Review, 22(4), 553-577, DOI:10.1080/14719037.2019.1599059
  9. C. Deschamps & J. Mattijs. (2018). How Organizational Learning Is Supported by Performance Management Systems: Evidence from a Longitudinal Case Study. Public Performance & Management Review, 41(3), 469-496. DOI:10.1080/15309576.2018.1462213
  10. D. P. Moynihan. (2009). The Dynamics of Performance Management : Constructing Information and Reform. Washington D.C.: Georgetown University Press.
  11. W. Van Dooren, G. Bouchaert & J. Halligan. (2010). Performance Management in the Public Sector. Oxford: Routledge.
  12. C. J. Heinrich & E. Fournier. (2004). Dimensions of Publicness and Performance in Substance Abuse Treatment Organizations. Journal of Policy Analysis and Management, 23(1), 49-70. DOI:10.1002/pam.10178
  13. P. H. Rossi & H. E. Freeman. (1985). Evaluation - A systematic approach. London: SAGE.
  14. C. Bourdeaux & G. Chikoto. (2008). Legislative Influences on Performance Management Reform. Public Administration Review, 68(2), 253-265. DOI:10.1111/j.1540-6210.2007.00860.x
  15. K. W. Park. (2013). The Effects of Performance Measures Based on Public Sector Performance Management and Decentralization on Organizational Performance. Korean International Accounting Review, 105-126.
  16. Y. N. Choi. (2019). A Study on the Effect of the Government Evaluation System on Organizational Performance: Focusing on the Moderating Effect of the Concentration on Quantitative Evaluation Index. The Korean Governance Review, 26(1), 111-140. https://doi.org/10.17089/kgr.2019.26.1.005
  17. C. C. Ragin. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. Chicago: University of Chicago Press.
  18. Y. J. Choi. (2009). Application of fuzzy-set theory in social sciences. Journal of Government Studies. 15(3), 307-336.
  19. M. S. Cho & J. W. Lee. (2015). A study of integrated performance management in central government agencies. Modern Society and Public Administration, 26(1), 77-103.
  20. J. G. March & J. P. Olsen. (1989). Rediscovering Institutions: The Organizational Basis of Politics. New York: The Free Press.
  21. D. L. P. Julnes, (2008). Performance Measurement Beyond Instrumental Use. In Van de Walle, Steven, and Wouter Van Dooren, eds. (2008). Performance Information in the Public Sector: How It Is Used. Houndsmills, UK : Palgrave Macmillan.
  22. R. Lipshitz, M. Popper & S. Oz. (1996). Building Learning Organizations: The Design and Implementation of Organizational Learning Mechanisms. Journal of Applied Behavioral Science, 32(3), 292-305. DOI:10.1177/0021886396323004
  23. G. W. Park & S. Y. Yoon (2020). A Study on the Determinants on Organizational Performance in the Public Sector : Focusing on Acceptance of Performance Management. The Korea Local Administration Review, 34(1), 091-112.
  24. M. S. Cho & J. R. Oh. (2019). Halo Effect in Evaluating Government Funded Art Programs: The Case of Local Representative Performing Art Festivals. Journal of Convergence for Information Technology, 9(8), 123-133. DOI : 10.22156/CS4SMB.2019.9.8.123