References
- D. P. Moynihan. (2008). The dynamics of performance management: Constructing information and reform. Washington D.C.: Georgetown University Press.
- S. D. Oh & K. H. Sim. (2019). An Empirical Study of Organizational Factors Influencing Performance Information Use Based on the Perception of Employees in Government-Funded Science and Technology Research Institutes. Korean Journal of Public Administration, 57(2), 169-200. https://doi.org/10.24145/KJPA.57.2.6
- B. S. Barnow. (1992). The effects of performance standardes on state and local program. in C. F. Manski and I. Garfinkel. (eds.) Evaluating welfare and training programs. pp. 277-309. Cambridge, MA: Harvard University Press.
- B. Liner, H. Hatry, E. Vinson, R. Allen, P. Dunsenbery, S. Byrant & R. Snell. (2011). Making Rsult-Based State Government Work. Washington, D.C.: Urban Institute.
- T. H. Pollit & S. Dan. (2013). Searching for Impacts in Performenace-Oriented Management Reform: A Review of the European Literature. Public Performance and Management Review, 37(1), 7-22. https://doi.org/10.2753/PMR1530-9576370101
- R. McAdam, S. Hazlett & C. Casey. (2005). Performance Management in the U.K. Public Sector: Addressing Multiple Stakeholder Complexity. International Journal of Public Sector Management, 18(3), 256-273. https://doi.org/10.1108/09513550510591542
- M. H. Moore. (1995). Creating Public Value: Strategic Management in Government. Cambridge: Harvard University Press.
- C. Hood. (1991). A Public Management for All Seasons. Public Administration, 69(1), 3-19. https://doi.org/10.1111/j.1467-9299.1991.tb00779.x
- W. Van Dooren, G. Bouchaert & J. Halligan. (2010) Performance Management in the Public Sector. London: Routledge.
- W. Van Dooren, C. de Caluwe & Z. Lonti. (2012). How to Measure Public Administration Performance: A Conceptual Model with Applications for Budgeting, Human Resource Management, and Open Government. Public Performance and Management Review, 35(3), 489-508. https://doi.org/10.2753/PMR1530-9576350306
- C. Agyris & D. Schon. (1996). Organizational Learning: A Theory of Action Perspective. (2nd edition). Malden, MA: Blackwell.
- 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.
- C. Heinrich. (2002). Outcomes-based Performance Management in the Public Sector: Implications for Government Accountability and Effectiveness, Public Administration Review, 62(6), 712-725. https://doi.org/10.1111/1540-6210.00253
- S. H. Cho. (2004). A Study of the Linkage between Policy Management and Budgeting Management in Local Government - Focused on Incorporating Strategic Planning, Performance Evaluation, and Budgeting Management, The Korean Journal of Local Government Studies, 8(2), 145-166.
- S. M. Hronec. (1993), Vital Signs: Using Quality, Time and Cost Performance Measurements to Chart Your Company's Future, NY: Amacom,
- I. H. Chung, Y. J. Choi, J. H. Park & J. J. Lim. (2019). A Study on Citizen Participation in Public Service Delivery Process : Focused on the Utilization of Performance Information and Participation in Renewable Energy Policy in Energy Public Institutions. The Korean Association For Policy Analysis And Evaluation a collection of academic presentations(2019), 145-172.
- 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.
- H. Y. Lee & S. J. Eom. (2018). A Study on the Antecedents and Consequences of Knowledge Management: Focusing on the Interaction Effects of Information Technology with Organizational Contexts. The Korean Governance Review, 25(1), 257-296. https://doi.org/10.17089/kgr.2018.25.1.010
- A. K. Gupta, K. G. Smith & C. E. Shalley. (2006). The Interplay between Exploration and Exploitation. Academy of Management Journal, 49(4), 693-706. https://doi.org/10.5465/amj.2006.22083026
- J. G. March. (1991). Exploration and Exploitation in Organizational Learning. Organization Science, 2(1), 71-87. https://doi.org/10.1287/orsc.2.1.71
- J. G. March. (2006). Rationality, Foolishness, and Adaptive Intelligence. Strategic Management Journal, 27(3), 201-214. https://doi.org/10.1002/smj.515
- W. W. Powell, K. W. Koput & Laurel Smith-Doerr. (1996). Inter-organizational Collaboration and the Locus of Innovation: Networks of Learning in Biotechnology. Administrative Science Quarterly, 41(1), 116-145. https://doi.org/10.2307/2393988
- 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. https://doi.org/10.22156/CS4SMB.2019.9.8.123
- 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), 155-177. https://doi.org/10.24210/kapm.2018.32.4.007
- 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.