Understanding the Diverse Purposes of Performance Information use in Nonprofits: An Empirical Study of Factors Influencing the Use of Performance Measures

References

• Aldrich, H. (1976). Resource dependence and inter-organizational relations: Local employment service offices and social services sector organizations. Administration and Society, 7(4), 419–454. doi:10.1177/009539977600700402
   Web of Science ®Google Scholar
• Askim, J., Johnsen, Å., & Christophersen, K. A. (2007). Factors behind organizational learning from benchmarking: Experiences from Norwegian municipal benchmarking networks. Journal of Public Administration Research and Theory, 18(2), 297–320. doi:10.1093/jopart/mum012
   Web of Science ®Google Scholar
• Azur, M. J., Stuart, E. A., Frangakis, C., & Leaf, P. J. (2011). Multiple imputation by chained equations: What is it and how does it work?. International Journal of Methods in Psychiatric Research, 20(1), 40–49. doi:10.1002/mpr.329
   PubMed Web of Science ®Google Scholar
• Berman, E., & Wang, X. (2000). Performance measurement in US counties: Capacity for reform. Public Administration Review, 60(5), 409–420. doi:10.1111/0033-3352.00104
   Web of Science ®Google Scholar
• Bies, A. L. (2010). Evolution of nonprofit self-regulation in Europe. Nonprofit and Voluntary Sector Quarterly, 39(6), 1057–1086. doi:10.1177/0899764010371852
   Web of Science ®Google Scholar
• Botcheva, L., White, C. R., & Huffman, L. C. (2002). Learning culture and outcomes measurement practices in community agencies. American Journal of Evaluation, 23(4), 421–434. doi:10.1177/109821400202300404
   Web of Science ®Google Scholar
• Bourdeaux, C., & Chikoto, G. (2008). Legislative influences on performance management reform. Public Administration Review, 68(2), 253–265. doi:10.1111/j.1540-6210.2007.00860.x
   Web of Science ®Google Scholar
• Brody, E. (1995). Agents without principals: The economic convergence of the nonprofit and for-profit organizational forms. New York Law School Law Review, 40, 457.
   Google Scholar
• Bryson, J. M. (2011). Strategic planning for public and nonprofit organizations: A guide to strengthening and sustaining organizational achievement. San Francisco: Jossey-Bass.
   Google Scholar
• Bush, R. (1992). Survival of the nonprofit spirit in a for-profit world. Nonprofit and Voluntary Sector Quarterly, 21(4), 391–410. doi:10.1177/089976409202100406
   Google Scholar
• Cain, L. P., & Meritt, D. A. (1998). The growing commercialism of zoos and aquariums. Journal of Policy Analysis and Management, 17(2), 298–312. doi:10.1002/(SICI)1520-6688(199821)17:2<298::AID-PAM10>3.0.CO;2-F
   Web of Science ®Google Scholar
• Cairns, B., Harris, M., Hutchison, R., & Tricker, M. (2005). Improving performance? The adoption and implementation of quality systems in UK nonprofits. Nonprofit Management and Leadership, 16(2), 135–151. doi:10.1002/nml.97
   Google Scholar
• Carman, J. G. (2007). Evaluation practice among community-based organizations research into the reality. American Journal of Evaluation, 28(1), 60–75. doi:10.1177/1098214006296245
   Web of Science ®Google Scholar
• Carman, J. G. (2009). Nonprofits, funders, and evaluation: Accountability in action. The American Review of Public Administration, 39(4), 374–390. doi:10.1177/0275074008320190
   Web of Science ®Google Scholar
• Carman, J. G., & Fredericks, K. A. (2008). Nonprofits and evaluation: Empirical evidence from the field. New Directions for Evaluation, 2008(119), 51–71. doi:10.1002/ev.268
   Google Scholar
• Carmines, E. G., & Zeller, R. A. (1979). Reliability and validity assessment (Vol. 17). Newbury Park, CA: Sage publications.
   Google Scholar
• Chang, C. F., & Tuckman, H. P. (1994). Revenue diversification among non-profits. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations, 5(3), 273–290. doi:10.1007/BF02354036
   Google Scholar
• Child, C. (2010). Whither the turn? The ambiguous nature of nonprofits' commercial revenue. Social Forces, 89(1), 145–161. doi:10.1353/sof.2010.0058
   Web of Science ®Google Scholar
• Deitrick, L., Durnford, J., Narwold, A., Galloway, F., & Schumann, M. J. (2014). Causes Count: The Economic Power of California's Nonprofit Sector. San Francisco, CA: CalNonprofits.
   Google Scholar
• Denhardt, R. B., Denhardt, J. V., & Blanc, T. A. (2013). Public administration: An action orientation. Boston, MA: Wadsworth Cengage Learning.
   Google Scholar
• DiMaggio, P., & Powell, W. W. (1983). The iron cage revisited: Collective rationality and institutional isomorphism in organizational fields. American Sociological Review, 48(2), 147–160. doi:10.2307/2095101
   Web of Science ®Google Scholar
• Doherty, B., Haugh, H., & Lyon, F. (2014). Social enterprises as hybrid organizations: A review and research agenda. International Journal of Management Reviews, 16(4), 417–436. doi:10.1111/ijmr.12028
   Web of Science ®Google Scholar
• Dull, M. (2008). Results-model reform leadership: Questions of credible commitment. Journal of Public Administration Research and Theory, 19(2), 255–284. doi:10.1093/jopart/mum043
   Web of Science ®Google Scholar
• Ebrahim, A., Battilana, J., & Mair, J. (2014). The governance of social enterprises: Mission drift and accountability challenges in hybrid organizations. Research in Organizational Behavior, 34, 81–100. doi:10.1016/j.riob.2014.09.001
   Web of Science ®Google Scholar
• Ebrahim, A. S., & Rangan, V. K. (2010). The limits of nonprofit impact: A contingency framework for measuring social performance (Working Paper 10-099). Boston, MA: Harvard Business School General Management Unit.
   Google Scholar
• Eckerd, A., & Moulton, S. (2011). Heterogeneous roles and heterogeneous practices: Understanding the adoption and uses of nonprofit performance evaluations. American Journal of Evaluation, 32(1), 98–117. doi:10.1177/1098214010381780
   Web of Science ®Google Scholar
• Froelich, K. A. (1999). Diversification of revenue strategies: Evolving resource dependence in nonprofit organizations. Nonprofit and Voluntary Sector Quarterly, 28(3), 246–268. doi:10.1177/0899764099283002
   Web of Science ®Google Scholar
• Frumkin, P. (2009). On being nonprofit: A conceptual and policy primer. Cambridge, MA: Harvard University Press.
   Google Scholar
• Garson, G. D. (2012). Logistic regression. Asheboro, NC: Statistical Associates. Available at http://www.statisticalassociates.com/logistic.htm
   Google Scholar
• Greve, H. R. (1998). Performance, aspirations, and risky organizational change. Administrative Science Quarterly, 43(1), 58–86. doi:10.2307/2393591
   Web of Science ®Google Scholar
• Gronbjerg, K. A. (1991). How nonprofit human service organizations manage their funding sources: Key findings and policy implications. Nonprofit Management and Leadership, 2(2), 159–175. doi:10.1002/nml.4130020206
   PubMedGoogle Scholar
• Guo, C., & Acar, M. (2005). Understanding collaboration among nonprofit organizations: Combining resource dependency, institutional, and network perspectives. Nonprofit and Voluntary Sector Quarterly, 34(3), 340–361. doi:10.1177/0899764005275411
   Web of Science ®Google Scholar
• Hansmann, H. (1987). Economic theories of nonprofit organization. In W. Powell (Ed.), The nonprofit sector: A research handbook (p. 27–42). New Haven, CT: Yale University Press.
   Google Scholar
• Hardina, D. (2011). Are social service managers encouraging consumer participation in decision making in organizations? Administration in Social Work, 35(2), 117–137. doi:10.1080/03643107.2011.557583
   Web of Science ®Google Scholar
• Hatry, H., Lampkin, L., Morley, E., & Cowan, J. (2003). How and why nonprofits use outcome information. Washington, DC: The Urban Institute.
   Google Scholar
• Helden, G. J. V., Johnsen, Å., & Vakkuri, J. (2008). Distinctive research patterns on public sector performance measurement of public administration and accounting disciplines. Public Management Review, 10(5), 641–651. doi:10.1080/14719030802264366
   Web of Science ®Google Scholar
• Helden, G. J. V., Johnsen, Å., & Vakkuri, J. (2012). The life-cycle approach to performance management: Implications for public management and evaluation. Evaluation, 18(2), 159–175. doi:10.1177/1356389012442978
   Web of Science ®Google Scholar
• Henderson, A. C., & Bromberg, D. E. (2015). Performance information use in local government: Monitoring relationships with emergency medical services agencies. Public Performance and Management Review, 39(1), 58–82. doi:10.1080/15309576.2016.1071162
   Web of Science ®Google Scholar
• Hodge, M. M., & Piccolo, R. F. (2005). Funding source, board involvement techniques, and financial vulnerability in nonprofit organizations: A test of resource dependence. Nonprofit Management and Leadership, 16(2), 171–190. doi:10.1002/nml.99
   Google Scholar
• Hodgkinson, V. A. (1989). Key challenges facing the nonprofit sector. In V. Hodgkinson & R. Lyman (Eds.), The future of the nonprofit sector (p. 3–19). San Francisco, CA: Jossey-Bass.
   Google Scholar
• Hyndman, N., & Eden, R. (2000). A study of the coordination of mission, objectives and targets in UK executive agencies. Management Accounting Research, 11(2), 175–191. doi:10.1006/mare.2000.0127
   Google Scholar
• Johnsen, A. G. (1999). Implementation mode and local government performance measurement: A Norwegian experience. Financial Accountability and Management, 15(1), 41–66.
   Google Scholar
• Johnson, J. D., Donohue, W. A., Atkin, C. K., & Johnson, S. (1995). A comprehensive model of information seeking. Science Communication, 16(3), 274–313. doi:10.1177/1075547095016003003
   Google Scholar
• Joyce, P. G., & Tompkins, S. (2002). Using performance information for budgeting: Clarifying the framework and investigating recent state experience. In K. Newcomer, E. Jennings, C. Broom, & A. Lomax (Eds.), Meeting the challenges of performance-oriented government (p. 61–96). Washington, DC: American Society for Public Administration.
   Google Scholar
• Julnes, P. D L., & Holzer, M. (2001). Promoting the utilization of performance measures in public organizations: An empirical study of factors affecting adoption and implementation. Public Administration Review, 61(6), 693–708. doi:10.1111/0033-3352.00140
   Web of Science ®Google Scholar
• Kerlin, J. A., & Pollak, T. H. (2011). Nonprofit commercial revenue: A replacement for declining government grants and private contributions? The American Review of Public Administration, 41(6), 686–704. doi:10.1177/0275074010387293
   Web of Science ®Google Scholar
• Kroll, A., & Moynihan, D. P. (2015). Does training matter? Evidence from performance management reforms. Public Administration Review, 75(3), 411–420. doi:10.1111/puar.12331
   Web of Science ®Google Scholar
• Kroll, A., & Vogel, D. (2014). The PSM–leadership fit: A model of performance information use. Public Administration, 92(4), 974–991. doi:10.1111/padm.12014
   Web of Science ®Google Scholar
• Landuyt, N., & Moynihan, D. (2009). How do public organizations learn? Bridging structural and cultural divides. Public Administration Review, 69(6), 1097–1105. doi:10.1111/j.1540-6210.2009.02067.x
   Web of Science ®Google Scholar
• Langer, J., & LeRoux, K. (2017). Developmental culture and effectiveness in nonprofit organizations. Public Performance and Management Review, 40(3), 457–479. doi:10.1080/15309576.2016.1273124
   Web of Science ®Google Scholar
• Lee, C., & Clerkin, R. (2017a). Exploring the use of outcome measures in human service nonprofits: Combining agency, institutional, and organizational capacity perspectives. Public Performance and Management Review, 40(3), 601–624. doi:10.1080/15309576.2017.1295872
   Web of Science ®Google Scholar
• Lee, C., & Clerkin, R. M. (2017b). The adoption of outcome measurement in human service nonprofits. Journal of Public and Nonprofit Affairs, 3(2), 111–134. doi:10.20899/jpna.3.2.111-134
   Web of Science ®Google Scholar
• Lee, C., & Nowell, B. (2015). A framework for assessing the performance of nonprofit organizations. American Journal of Evaluation, 36(3), 299–319. doi:10.1177/1098214014545828
   Web of Science ®Google Scholar
• LeRoux, K. (2009). Managing stakeholder demands: Balancing responsiveness to clients and funding agents in nonprofit social service organizations. Administration and Society, 41(2), 158–184. doi:10.1177/0095399709332298
   Web of Science ®Google Scholar
• LeRoux, K., & Wright, N. S. (2010). Does performance measurement improve strategic decision making? findings from a national survey of nonprofit social service agencies. Nonprofit and Voluntary Sector Quarterly, 39(4), 571–587. doi:10.1177/0899764009359942
   Web of Science ®Google Scholar
• Lynch-Cerullo, K., & Cooney, K. (2011). Moving from outputs to outcomes: A review of the evolution of performance measurement in the human service nonprofit sector. Administration in Social Work, 35(4), 364–388. doi:10.1080/03643107.2011.599305
   Web of Science ®Google Scholar
• MacIndoe, H., & Barman, E. (2013). How organizational stakeholders shape performance measurement in nonprofits: Exploring a multidimensional measure. Nonprofit and Voluntary Sector Quarterly, 42(4), 716–738. doi:10.1177/0899764012444351
   Web of Science ®Google Scholar
• McKeever, B. S. (2015). The nonprofit sector in brief 2015. Public Charities, Giving, and Volunteering. Washington, DC: The Urban Institute.
   Google Scholar
• Melkers, J., & Willoughby, K. (2005). Models of performance‐measurement use in local governments: Understanding budgeting, communication, and lasting effects. Public Administration Review, 65(2), 180–190. doi:10.1111/j.1540-6210.2005.00443.x
   Web of Science ®Google Scholar
• Meyer, J. W., & Rowan, B. (1977). Institutionalized organizations: Formal structure as myth and ceremony. American Journal of Sociology, 83(2), 340–363. doi:10.1086/226550
   Web of Science ®Google Scholar
• Mitchell, G. E., & Berlan, D. (2018). Evaluation in nonprofit organizations: An empirical analysis. Public Performance and Management Review, 41(2), 415–437. doi:10.1080/15309576.2017.1400985
   Web of Science ®Google Scholar
• Modell, S. (2009). Institutional research on performance measurement and management in the public sector accounting literature: A review and assessment. Financial Accountability and Management, 25(3), 277–303. doi:10.1111/j.1468-0408.2009.00477.x
   Google Scholar
• Morley, E., Vinson, E., & Hatry, H. (2001). Outcome measurement in nonprofit organizations: Current practices and recommendations. Washington, DC: Urban Institute.
   Google Scholar
• Moxham, C. (2009). Performance measurement: Examining the applicability of the existing body of knowledge to nonprofit organisations. International Journal of Operations and Production Management, 29(7), 740–763. doi:10.1108/01443570910971405
   Web of Science ®Google Scholar
• Moynihan, D. P. (2004). Why and how do state governments adopt and implement “Managing for results” reforms? Journal of Public Administration Research and Theory, 15(2), 219–243. doi:10.1093/jopart/mui012
   Web of Science ®Google Scholar
• Moynihan, D. P., & Ingraham, P. W. (2004). Integrative leadership in the public sector: A model of performance-information use. Administration and Society, 36(4), 427–453. doi:10.1177/0095399704266748
   Web of Science ®Google Scholar
• Moynihan, D. P., & Pandey, S. K. (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
   Web of Science ®Google Scholar
• Moynihan, D. P., Pandey, S. K., & Wright, B. E. (2012a). Setting the table: How transformational leadership fosters performance information use. Journal of Public Administration Research and Theory, 22(1), 143–164. doi:10.1093/jopart/mur024
   Web of Science ®Google Scholar
• Moynihan, D. P., Pandey, S. K., & Wright, B. E. (2012b). Prosocial values and performance management theory: Linking perceived social impact and performance information use. Governance, 25(3), 463–483. doi:10.1111/j.1468-0491.2012.01583.x
   Web of Science ®Google Scholar
• Pandey, S. K., Coursey, D. H., & Moynihan, D. P. (2007). Organizational effectiveness and bureaucratic red tape: A multi-method study. Public Performance and Management Review, 30(3), 398–425. doi:10.2753/PMR1530-9576300305
   Google Scholar
• Pfeffer, J., & Salancik, G. R. (2003). The external control of organizations: A resource dependence perspective. Redwood City, CA: Stanford University Press.
   Google Scholar
• Pierce, J. C., Lovrich, N., Tsurtomi, T., & Abe, T. (1987). Environmental policy elites trust of information sources. American Behavioral Scientist, 30, 250–270.
   Web of Science ®Google Scholar
• Poole, D. L., Nelson, J., Carnahan, S., Chepenik, N. G., & Tubiak, C. (2000). Evaluating performance measurement systems in nonprofit agencies: The program accountability quality scale (PAQS). The American Journal of Evaluation, 21(1), 15–26. doi:10.1177/109821400002100102
   Web of Science ®Google Scholar
• Powell, W. W., & Owen-Smith, J. (1998). Universities and the market for intellectual property in the life sciences. Journal of Policy Analysis and Management, 17(2), 253–277. doi:10.1002/(SICI)1520-6688(199821)17:2<253::AID-PAM8>3.0.CO;2-G
   Web of Science ®Google Scholar
• Rich, R. F. (1991). Knowledge creation, dissemination and utilization. Knowledge, 12(3), 319–330. doi:10.1177/107554709101200308
   Google Scholar
• Roy, C., & Seguin, F. (2000). The institutionalization of efficiency-oriented approaches for public service improvement. Public Productivity and Management Review, 23(4), 449–468. doi:10.2307/3380563
   Google Scholar
• Salamon, L. M. (1989). The voluntary sector and the future of the welfare state. Nonprofit and Voluntary Sector Quarterly, 18(1), 11–24. doi:10.1177/089976408901800103
   Google Scholar
• Speckbacher, G. (2008). Nonprofit versus corporate governance: An economic approach. Nonprofit Management and Leadership, 18(3), 295–320. doi:10.1002/nml.187
   Google Scholar
• Speklé, F., & Verbeeten, H. (2014). The use of performance measurement systems in the public sector: Effects on performance. Management Accounting Research, 25(2), 131–146. doi:10.1016/j.mar.2013.07.004
   Web of Science ®Google Scholar
• Thomson, D. E. (2010). Exploring the role of funders’ performance reporting mandates in nonprofit performance measurement. Nonprofit and Voluntary Sector Quarterly, 39(4), 611–629. doi:10.1177/0899764009360575
   Web of Science ®Google Scholar
• U.S. General Accounting Office (GAO). (1999). Managing for results: Opportunities for continued improvements in agencies’ performance plans (GAO/AIMD-99-215). Washington, DC: Author.
   Google Scholar
• U.S. Office of Management and Budget (OMB) (2010). The president’s budget for fiscal year 2011: Analytical perspectives. Washington, DC: Government Printing Office.
   Google Scholar
• Van de Walle, S., & Bovaird, T. (2007). Making better use of information to drive improvement in local public services: A report for the Audit Commission. Birmingham, AL: School of Public Policy, University of Birmingham.
   Google Scholar
• Van Dooren, W. (2008). Nothing new under the sun? Change and continuity in the twentieth century performance movements. In S. Van de Walle & W. Van Dooren (Eds.), Performance information in the public sector: How it is used (pp. 11–23). Basingstoke, UK: Palgrave Macmillan.
   Google Scholar
• Van Dooren, W., Bouckaert, G., & Halligan, J. (2015). Performance management in the public sector. London, UK: Routledge.
   Google Scholar
• Vogel, R., & Hattke, F. (2018). How is the use of performance information related to performance of public sector professionals? Evidence from the field of academic research. Public Performance and Management Review, 41(2), 390–414. doi:10.1080/15309576.2017.1400986
   Web of Science ®Google Scholar
• Wayman, J. C. (2003). Multiple imputation for missing data: What is it and how can I use it? Paper presented at the 2003 Annual Meeting of the American Educational Research Association: “Accountability for Educational Quality: Shared Responsibility,” Chicago, IL.
   Google Scholar
• Wholey, J. S. (1999). Performance-based management: Responding to the challenges. Public Performance and Management Review, 22, 288–307. doi:10.2307/3380705
   Google Scholar
• Wiener, S. J., Kirsch, A. D., & McCormack, M. T. (2002). Balancing the scales: Measuring the roles and contributions of nonprofit organizations and religious congregations. Washington, DC: Independent Sector.
   Google Scholar
• Yang, K. (2007). Examining perceived honest performance reporting by public organizations: Bureaucratic politics and organizational practice. Journal of Public Administration Research and Theory, 19(1), 81–105. doi:10.1093/jopart/mum042
   Web of Science ®Google Scholar
• Yang, K., & Callahan, K. (2007). Citizen involvement efforts and bureaucratic responsiveness: Participatory values, stakeholder pressures, and administrative practicality. Public Administration Review, 67(2), 249–264. doi:10.1111/j.1540-6210.2007.00711.x
   Web of Science ®Google Scholar
• Yang, K., & Hsieh, J. Y. (2007). Managerial effectiveness of government performance measurement: Testing a middle‐range model. Public Administration Review, 67(5), 861–879. doi:10.1111/j.1540-6210.2007.00774.x
   Web of Science ®Google Scholar
• Young, D. R. (1998). Commercialism in nonprofit social service associations. Journal of Policy Analysis and Management, 17(2), 278–297. doi:10.1002/(SICI)1520-6688(199821)17:2<278::AID-PAM9>3.0.CO;2-E
   Web of Science ®Google Scholar
• Zammuto, R. F., & Krakower, J. Y. (1991). Quantitative and qualitative studies of organizational culture. Research in Organizational Change and Development, 5, 83–114.
   Google Scholar
• Zimmermann, J. A. M., & Stevens, B. W. (2006). The use of performance measurement in South Carolina nonprofits. Nonprofit Management and Leadership, 16(3), 315–327. doi:10.1002/nml.109
   Google Scholar