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Abstract

Many nonprofit organizations operate under immense financial pressure. Revenue volatility is a common target for managers to minimize under the assumption that maintaining consistent revenue enhances the viability of the organization while high revenue volatility may disrupt planning. However, the relationship between revenue volatility and the viability of nonprofit organizations is poorly understood. This article presents the first empirical test of the link between volatility and dissolution in U.S. public charities from 2010 to 2018 (N = 2,126,894) using discrete time survival models. The results show that a 10% increase in revenue volatility predicts an increase in dissolution risk between 7% and 14%. In addition, the effect of revenue volatility varies by the age of the organization, suggesting volatility may be a greater threat to older organizations than to those newly formed. Implications for managers and future research are discussed.

Keywords

revenue volatility risk dissolution nonprofit finance survival analysis

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References

Amburgey

T. L.

(1996). Organizational ecology: Past, present, and future directions. Academic of Management Journal, 39(5), 1265–1286.

Andreoni

Payne

A. A.

(2003). Do government grants to private charities crowd out giving or fund-raising? The American Economic Review, 93(3), 792–812.

Bielefeld

(1994). What affects nonprofit survival? Nonprofit Management and Leadership, 5(1), 19–36. https://doi.org/10.1002/nml.4130050104

Brodkin

E. Z.

(2007). Bureaucracy redux: Management reformism and the welfare state. Journal of Public Administration Research and Theory, 17(1), 1–17. https://doi.org/10.1093/jopart/muj019

Calabrese

T. D.

(2012). The accumulation of nonprofit profits: A dynamic analysis. Nonprofit and Voluntary Sector Quarterly, 41(2), 300–324. https://doi.org/10.1177/0899764011404080

Carroll

D. A.

Stater

K. J.

(2009). Revenue diversification in nonprofit organizations: Does it lead to financial stability? Journal of Public Administration Research and Theory, 19(4), 947–966. https://doi.org/10.1093/jopart/mun025

Carroll

Hannan

M. T.

(2000). The demography of corporations and industries. Princeton University Press.

Chang

Tuckman

H. P.

(1994). Revenue diversification among non-profits. Voluntas: International Journal of Voluntary and Nonprofit Organizations, 5(3), 273–290. https://doi.org/10.1007/BF02354036

Chang

Tuckman

H. P.

Chikoto-schultz

(2018). Income diversity and nonprofit financial health. In Seaman Dennis

B. A.

Young

(Eds.), Handbook of research on nonprofit economics and management (2nd ed., pp. 11–34). Edward Elgar Publishing.

10.

Chikoto-Schultz

G. L.

Neely

D. G.

(2014). Building nonprofit financial capacity: The impact of revenue concentration and overhead costs. Nonprofit and Voluntary Sector Quarterly, 43(3), 570–588. https://doi.org/10.1177/0899764012474120

11.

Chikoto-Schultz

G. L.

Neely

D. G.

(2016). Exploring the nexus of nonprofit financial stability and financial growth. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations, 27(6), 2561–2575. https://doi.org/10.1007/s11266-016-9786-0

12.

Dowling

Pfeffer

(1975). Organizational legitimacy: Social values and organizational behavior. Pacific Sociological Review, 18(1), 122–136. https://doi.org/10.2307/1388226

13.

Feng

N. C.

Ling

Neely

Roberts

A. A.

(2014). Using archival data sources to conduct nonprofit accounting research. Journal of Public Budgeting, Accounting & Financial Management, 26(3), 458–493.

14.

Fernandez

J. J.

(2008). Causes of dissolution among Spanish nonprofit associations. Nonprofit and Voluntary Sector Quarterly, 37(1), 113–137. https://doi.org/10.1177/0899764006298965

15.

Fischer

R. L.

Wilsker

Young

D. R.

(2011). Exploring the revenue mix of nonprofit organizations: Does it relate to publicness? Nonprofit and Voluntary Sector Quarterly, 40(4), 662–681. https://doi.org/10.1177/0899764010363921

16.

Frank

K. A.

Maroulis

S. J.

Duong

M. Q.

Kelcey

B. M.

(2013). What would it take to change an inference? Using Rubin’s causal model to interpret the robustness of causal inferences. Educational Evaluation and Policy Analysis, 35(4), 437–460. https://doi.org/10.3102/0162373713493129

17.

Freeman

Carroll

G. R.

Hannan

M. T.

(1983). The liability of newness: Age dependence in organizational death rates. American Sociological Review, 48(5), 692–710. https://doi.org/10.2307/2094928

18.

Froelich

K. A.

(1999). Diversification of revenue strategies: Evolving resource dependence in nonprofit organizations. Nonprofit and Voluntary Sector Quarterly, 28(3), 246–268. https://doi.org/10.1177/0899764099283002

19.

Grasse

N. J.

Whaley

K. M.

Ihrke

D. M.

(2016). Modern portfolio theory and nonprofit arts organizations: Identifying the efficient frontier. Nonprofit and Voluntary Sector Quarterly, 45(4), 825–843. https://doi.org/10.1177/0899764015603204

20.

Greenlee

J. S.

Tuckman

(2007). Financial health. In Young

(Ed.), Financing nonprofits: Putting theory into practice (pp. 314–335). National Center on Nonprofit Enterprise and AltaMira Press.

21.

Hager

M. A.

(2001). Financial vulnerability among arts organizations: A test of the Tuckman-Chang measures. Nonprofit and Voluntary Sector Quarterly, 30(2), 376–392. https://doi.org/10.1177/0899764001302010

22.

Hager

M. A.

Galaskiewicz

Bielefeld

Pins

(1996). Tales from the grave: Organizations’ accounts of their own demise. American Behavioral Scientist, 39(8), 975–994. https://doi.org/10.1177/0002764296039008004

23.

Hager

M. A.

Galaskiewicz

Larson

J. A.

(2004). Structural embeddedness and the liability of newness among nonprofit organizations. Public Management Review, 6(2), 159–188. https://doi.org/10.1080/1471903042000189083

24.

Hannan

M. T.

Freeman

(1989). Organizational ecology. Harvard University Press.

25.

Harrell

F. E.

(2015). Regression modeling strategies: With applications to linear models, logistic and ordinal regression, and survival analysis. Springer International Publishing. https://doi.org/10.1007/978-3-319-19425-7

26.

Hull

J. C.

(2018). Risk management and financial institutions (5th ed.). Wiley.

27.

Hung

Hager

M. A.

(2019). The impact of revenue diversification on nonprofit financial health: A meta-analysis. Nonprofit and Voluntary Sector Quarterly, 48(1), 5–27. https://doi.org/10.1177/0899764018807080

28.

James

(1983). How nonprofits grow: A model. Journal of Policy Analysis and Management, 2(3), 350–365. https://doi.org/10.2307/3324446

29.

Jegers

(1997). Portfolio theory and nonprofit financial stability: A comment and extension. Nonprofit and Voluntary Sector Quarterly, 26(1), 65–72.

30.

Jones

M. B.

(2007). The multiple sources of mission drift. Nonprofit and Voluntary Sector Quarterly, 36(2), 299–307. https://doi.org/10.1177/0899764007300385

31.

Keating

E. K.

Fischer

Gordon

T. P.

Greenlee

J. S.

(2005). Assessing financial vulnerability in the nonprofit sector. SSRN Electronic Journal. Advance online publication. https://doi.org/10.2139/ssrn.647662

32.

Kingma

B. R.

(1993). Portfolio theory and nonprofit financial stability. Nonprofit and Voluntary Sector Quarterly, 22(2), 105–119. https://doi.org/10.1177/089976409302200202

33.

Lin

Wang

(2019). Does a more diversified revenue structure lead to greater financial capacity and less vulnerability in nonprofit organizations? A bibliometric and meta-analysis. VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations, 30(3), 593–609. https://doi.org/10.1007/s11266-019-00093-9

34.

Shon

Zhang

(2020). Understanding the dissolution of nonprofit organizations: A financial management perspective. Nonprofit and Voluntary Sector Quarterly, 49(1), 29–52. https://doi.org/10.1177/0899764019872006

35.

Markowitz

H. M.

(1952). Portfolio selection. Journal of Finance, 7(1), 77–91.

36.

Mayer

W. J.

Wang

Egginton

J. F.

Flint

H. S.

(2012). The impact of revenue diversification on expected revenue and volatility for nonprofit organizations. Nonprofit and Voluntary Sector Quarterly, 43(2), 374–392. https://doi.org/10.1177/0899764012464696

37.

Paarlberg

L. E.

Hwang

(2017). The heterogeneity of competitive forces: The impact of competition for resources on united way fundraising. Nonprofit and Voluntary Sector Quarterly, 46(5), 897–921. https://doi.org/10.1177/0899764017713874

38.

Park

Y. J.

Shon

(2022). Predicting organizational mortality: How financial management matters. Administration & Society, 54(5), 828–856. https://doi.org/10.1177/00953997211045068

39.

Porter

K. A.

Powell

W. W.

(2006). Networks and organizations. In Clegg

Hardy

Lawrence

Nord

(Eds.), The SAGE handbook of organization studies (pp. 776–799). SAGE.

40.

(2019). Risk and diversification of nonprofit revenue portfolios: Applying modern portfolio theory to nonprofit revenue management. Nonprofit Management and Leadership, 30(2), 193–212. https://doi.org/10.1002/nml.21385

41.

(2020). Background risk and nonprofit endowment portfolio volatility. Nonprofit Management and Leadership, 31(1), 11–32. https://doi.org/10.1002/nml.21415

42.

Ramey

V. A.

(1995). Cross-country evidence on the link between volatility and growth. The American Economic Review, 85(5), 1138–1151.

43.

Searing

E. A. M.

(2020). Life, death, and zombies: Revisiting traditional concepts of nonprofit demise. Journal of Public and Nonprofit Affairs, 6(3), 354–376. https://doi.org/10.20899/jpna.6.3.354-376

44.

Shon

Hamidullah

M. F.

McDougle

L. M.

(2019). Revenue structure and spending behavior in nonprofit organizations. The American Review of Public Administration, 49(6), 662–674. https://doi.org/10.1177/0275074018804562

45.

Thornton

(2006). Nonprofit fund-raising in competitive donor markets. Nonprofit and Voluntary Sector Quarterly, 35(2), 204–224. https://doi.org/10.1177/0899764005285951

46.

Tinkelman

Mankaney

(2007). When is administrative efficiency associated with charitable donations? Nonprofit and Voluntary Sector Quarterly, 36(1), 41–64. https://doi.org/10.1177/0899764006293176

47.

Tuckman

H. P.

Chang

C. F.

(1991). A methodology for measuring the financial vulnerability of charitable nonprofit organizations. Nonprofit and Voluntary Sector Quarterly, 20(4), 445–460. https://doi.org/10.1177/089976409102000407

48.

Tutz

Schmid

(2016). Modeling discrete time-to-event data. Springer International Publishing. https://doi.org/10.1007/978-3-319-28158-2

49.

White

(1983). Trade-off in growth stability in state taxes. National Tax Journal, 36(1), 103–114.

50.

Wicker

Longley

Breuer

(2015). Revenue volatility in German nonprofit sports clubs. Nonprofit and Voluntary Sector Quarterly, 44(1), 5–24. https://doi.org/10.1177/0899764013499072

51.

Wiewel

Hunter

(1985). The interorganizational network as a resource: A comparative case study on organizational genesis. Administrative Science Quarterly, 30(4), 482–496. https://doi.org/10.2307/2392693

52.

Yang

Aldrich

H. E.

(2017). “The liability of newness” revisited: Theoretical restatement and empirical testing in emergent organizations. Social Science Research, 63, 36–53.

53.

Young

D. R.

(2007). Financing nonprofits: Putting theory into practice. National Center on Nonprofit Enterprise and AltaMira Press.

54.

Zeileis

(2006). Object-oriented computation of sandwich estimators. Journal of Statistical Software, 16(9), 1–16. https://doi.org/10.18637/jss.v016.i09

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Simmer Down Now! A Study of Revenue Volatility and Dissolution in Nonprofit Organizations

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