@article{melville-holder_lawrence_leight_johnson_stewart_2022, title={Preparing Nonprofit Professionals: An Educational Needs Assessment from a Worker Perspective}, volume={12}, ISSN={["2157-0604"]}, url={http://dx.doi.org/10.18666/jnel-2022-11450}, DOI={10.18666/JNEL-2022-11450}, abstractNote={Nonprofit management education is informed by curricular standards and feedback from students and alumni on the utility of its curriculum components. In a professionalizing and diverse nonprofit sector, we were curious to ask nonprofit workers about the skills and competencies they need for their work. Applying a survey design, we asked nonprofit workers about the skills and abilities they used in their work relative to general professional and nonprofit curricular standards. In our findings, we explore differences according to the professional profiles to make sense of the sector’s diverse workforce. Our assessment supplies fresh insight into the competencies nonprofit education promotes, describing how nonprofit professionals view the skills needed for their work, and how they think about professional development. The findings inform those who teach or administer nonprofit degree programs, as well as those who work or want to work in the nonprofit sector.}, number={4}, journal={JOURNAL OF NONPROFIT EDUCATION AND LEADERSHIP}, publisher={Sagamore Publishing, LLC}, author={Melville-Holder, Jo'Ann L. and Lawrence, Kara and Leight, Matthew D. and Johnson, Brad A. and Stewart, Amanda J.}, year={2022}, pages={1–19} }
 @article{coupet_berrett_broussard_johnson_2021, title={Nonprofit Benchmarking With Data Envelopment Analysis}, volume={50}, ISSN={["1552-7395"]}, url={https://doi.org/10.1177/0899764020977670}, DOI={10.1177/0899764020977670}, abstractNote={ Benchmarking nonprofit performance can be challenging, constraining the ways nonprofits can use operational data to learn from each other and highlight organizational progress. Valid output or outcome data are scarce, and there is much to learn about measuring performance even when these data are available. Data envelopment analysis (DEA) is a mathematical linear programming technique that can be used to measure performance in a way that not only produces valid efficiency scores but also allows for benchmarking nonprofits with similar service missions. Using financial and production data from the nonprofit transportation sector, we walk through an example to explore DEA as a tool to measure and benchmark nonprofits. We conclude with suggestions for practice, emphasizing that DEA is useful for stakeholders looking to benchmark nonprofits by underscoring production and performance. }, number={3}, journal={NONPROFIT AND VOLUNTARY SECTOR QUARTERLY}, author={Coupet, Jason and Berrett, Jessica and Broussard, Paul and Johnson, Bradley}, year={2021}, month={Jun}, pages={647–661} }
 @article{mcdonald_decker_johnson_2021, title={You Don't Always Get What You Want: The Effect of Financial Incentives on State Fiscal Health}, volume={81}, ISSN={["1540-6210"]}, DOI={10.1111/puar.13163}, abstractNote={Abstract}, number={3}, journal={PUBLIC ADMINISTRATION REVIEW}, author={McDonald, Bruce D., III and Decker, J. W. and Johnson, Brad A. M.}, year={2021}, month={May}, pages={365–374} }
 @article{wilson_johnson_stokan_overton_2020, title={Institutional Collective Action During COVID-19: Lessons in Local Economic Development}, volume={80}, ISSN={["1540-6210"]}, DOI={10.1111/puar.13234}, abstractNote={Abstract}, number={5}, journal={PUBLIC ADMINISTRATION REVIEW}, author={Wilson, Darrin H. E. and Johnson, Brad A. M. and Stokan, Eric and Overton, Michael}, year={2020}, month={Sep}, pages={862–865} }