@article{coupet_ba_2022, title={Benchmarking university technology transfer performance with external research funding: a stochastic frontier analysis}, volume={47}, ISSN={["1573-7047"]}, url={https://doi.org/10.1007/s10961-021-09856-3}, DOI={10.1007/s10961-021-09856-3}, number={2}, journal={JOURNAL OF TECHNOLOGY TRANSFER}, author={Coupet, Jason and Ba, Yuhao}, year={2022}, month={Apr}, pages={605–620} }
 @article{coupet_schehl_2022, title={Government Grants, Donors, and Nonprofit Performance}, volume={32}, ISSN={["1477-9803"]}, DOI={10.1093/jopart/muab022}, abstractNote={Abstract}, number={1}, journal={JOURNAL OF PUBLIC ADMINISTRATION RESEARCH AND THEORY}, author={Coupet, Jason and Schehl, Madeline}, year={2022}, month={Jan}, pages={97–110} }
 @article{coupet_broussard_2021, title={Do Donors Respond to Nonprofit Performance? Evidence from Housing}, volume={44}, ISSN={["1557-9271"]}, DOI={10.1080/15309576.2020.1812409}, abstractNote={Abstract Standard economic theories of nonprofits argue that donors largely cannot observe nonprofit performance. Using market data from the US nonprofit housing sector, federal financial data, and rare internal production reports, this study examines the effects of nonprofit performance on donations with a dynamic panel model. Donors in our sample are only weakly sensitive to indicators of nonprofit productivity. Our results imply that nonprofit performance theory might be distinct from other sectors in that nonprofits cannot expect increased performance to be meaningfully rewarded with funding.}, number={1}, journal={PUBLIC PERFORMANCE & MANAGEMENT REVIEW}, author={Coupet, Jason and Broussard, Paul}, year={2021}, month={Jan}, pages={108–135} }
 @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{ba_berrett_coupet_2021, title={Panel Data Analysis: A Guide for Nonprofit Studies}, ISSN={["1573-7888"]}, DOI={10.1007/s11266-021-00342-w}, journal={VOLUNTAS}, author={Ba, Yuhao and Berrett, Jessica and Coupet, Jason}, year={2021}, month={Mar} }
 @article{coupet_albrecht_williams_farruggia_2020, title={Collaborative Value in Public and Nonprofit Strategic Alliances: Evidence From Transition Coaching}, volume={3}, url={https://doi.org/10.1177/0095399719834270}, DOI={10.1177/0095399719834270}, abstractNote={The value created by public–nonprofit (PNP) alliances often emphasizes public sector service delegation to nonprofits, but public and nonprofit organizations often seek to create shared social value with alliances, particularly in sectors where there is coproduction. To better understand shared social value, we apply the Collaborative Value Creation (CVC) framework to investigate value creation in the Transition Coaching sector—nonprofit organizations that provide support to high school students as they transition to college. We interview public and nonprofit executives and staff and find that nonprofits seek resources to help navigate complex bureaucratic public structures related to private client information and centralizing bureaucratic information. We also find shared public and nonprofit value in improving client navigation, knowledge sharing within public bureaucratic structures, and capacity building. Future scholarship should develop the potential for reduced bureaucratic frictions as a point of shared value in PNP alliances.}, journal={Administration & Society}, publisher={SAGE Publications}, author={Coupet, Jason and Albrecht, Kate and Williams, Teshanee and Farruggia, Sue}, year={2020}, month={Mar}, pages={009539971983427} }
 @article{farruggia_solomon_back_coupet_2020, title={Partnerships between universities and nonprofit transition coaching organizations to increase student success}, url={https://doi.org/10.1002/jcop.22388}, DOI={10.1002/jcop.22388}, abstractNote={Abstract}, journal={Journal of Community Psychology}, author={Farruggia, Susan P. and Solomon, Bonnie and Back, Lindsey and Coupet, Jason}, year={2020}, month={Aug} }
 @article{coupet_berrett_2019, title={Toward a valid approach to nonprofit efficiency measurement}, url={https://doi.org/10.1002/nml.21336}, DOI={10.1002/nml.21336}, abstractNote={Past literature in nonprofit management uses the overhead ratio of nonprofits as a measure of efficiency. Although the overhead ratio might measure top‐heaviness, we argue that it does not measure nonprofit efficiency. To investigate this, we use financial and operational data to rank the efficiency of Habitat for Humanity affiliates with the overhead and administrative ratio, as well as data envelopment analysis (DEA) and stochastic frontier analysis (SFA), two of the most popular efficiency measures. While the DEA and SFA rankings are statistically correlated, overhead ratio rankings are negatively correlated with both SFA and DEA rankings. We argue that nonprofit scholars, managers, and donors should move away from concepts and measures of efficiency based on financial ratios, and toward ones that embrace maximizing what nonprofits are able to make and do.}, journal={Nonprofit Management and Leadership}, author={Coupet, Jason and Berrett, Jessica L.}, year={2019}, month={Mar} }
 @article{coupet_2018, title={Exploring the link between government funding and efficiency in nonprofit colleges}, volume={29}, ISSN={["1542-7854"]}, url={https://doi.org/10.1002/nml.21309}, DOI={10.1002/nml.21309}, abstractNote={Previous literature has suggested that federal funding can hinder the efficiency of nonprofit organizations, but this has yet not been empirically tested. This study used a two‐stage data envelopment analysis (DEA) model to measure the efficiency of a set of private nonprofit teaching‐oriented colleges, then estimate the impact of federal and state funding on organizational efficiency. The findings indicate that, on average, increases in neither state nor federal funding effect efficiency of nonprofit colleges. Increasing state funding negatively impacted the efficiency of public colleges (N = 799). This study suggests that the challenges for nonprofits that accompany government funding may not rise to a quantifiable negative effect on efficiency.}, number={1}, journal={NONPROFIT MANAGEMENT & LEADERSHIP}, author={Coupet, Jason}, year={2018}, pages={65–81} }
 @article{barnum_coupet_gleason_mcwilliams_parhankangas_2017, title={Impact of input substitution and output transformation on data envelopment analysis decisions}, volume={49}, ISSN={["1466-4283"]}, url={http://hdl.handle.net/10.1080/00036846.2016.1221042}, DOI={10.1080/00036846.2016.1221042}, abstractNote={ABSTRACT Data envelopment analysis (DEA) can aid managerial decision-making because it offers an opportunity to measure organizational performance in a holistic manner, aggregating data from partial indicators into a single comprehensive measure. However, there are some methodological hazards associated with the use of DEA that are especially relevant to managerial decisions, but which have been largely ignored in the literature. Herein, we identify and show the impact of a ubiquitous methodological hazard in DEA modelling – the economic assumptions regarding input substitutions and output transformations.}, number={15}, journal={APPLIED ECONOMICS}, author={Barnum, Darold and Coupet, Jason and Gleason, John and McWilliams, Abagail and Parhankangas, Annaleena}, year={2017}, pages={1543–1556} }
 @article{coupet_2017, title={Strings attached? Linking Historically Black Colleges and Universities public revenue sources with efficiency}, volume={39}, ISSN={["1469-9508"]}, DOI={10.1080/1360080x.2016.1254427}, abstractNote={ABSTRACT Historically Black Colleges and Universities (HBCUs), a set of US higher education institutions historically tasked with educating African–American students, receive both state and federal funding. However, state governments often assert operational control through the political process, potentially influencing how key resources are used. Do these different sources of publicness have competing effects on efficiency? Using a 5-year panel of financial and organisational data of HBCUs, this study explores the relative effect of each of these revenue sources on efficiency. The study finds that the efficiency of HBCUs is negatively impacted by higher proportions of state revenue, and that higher proportions of federal revenue have a positive effect on efficiency. This suggests that state governments should consider their political roles in assessing the performance of HBCUs, and that HBCUs might look to lessons from other organisations for methods to reduce the impact of state external control.}, number={1}, journal={JOURNAL OF HIGHER EDUCATION POLICY AND MANAGEMENT}, publisher={Informa UK Limited}, author={Coupet, Jason}, year={2017}, month={Feb}, pages={40–57} }
 @article{coupet_prince_ford_2016, title={Benchmarking HBCU Efficiency: Beyond Retention}, ISBN={["978-1-5225-0311-8"]}, ISSN={["2327-6991"]}, DOI={10.4018/978-1-5225-0311-8.ch006}, abstractNote={HBCUs have played a vital role in the US higher education sphere. As initiatives to increase student retention move forward, the reality of funding constraints means that examining efficiency and effectiveness at HBCUs remains a vital part of institutional growth. This chapter presents a two-stage Data Envelopment Analysis (DEA) methodology as a tool to benchmark the relative efficiency of HBCUs. DEA is a quantitative, non-parametric technique used to measure efficiency, and has had a robust history as a benchmarking tool due to its ability to identify top performing organizations as well as less efficient peers. Using Department of Education data, the most efficient and effective HBCUs are identified. Implications for the use of DEA as a benchmarking tool are discussed. }, journal={ADMINISTRATIVE CHALLENGES AND ORGANIZATIONAL LEADERSHIP IN HISTORICALLY BLACK COLLEGES AND UNIVERSITIES}, publisher={IGI Global}, author={Coupet, Jason and Prince, CBW and Ford, RL}, year={2016}, pages={95–128} }
 @article{mcwilliams_parhankangas_coupet_welch_barnum_2014, title={Strategic Decision Making for the Triple Bottom Line}, volume={25}, DOI={10.1002/bse.1867}, abstractNote={Abstract}, number={3}, journal={Business Strategy and the Environment}, publisher={Wiley-Blackwell}, author={McWilliams, Abagail and Parhankangas, Annaleena and Coupet, Jason and Welch, Eric and Barnum, Darold T.}, year={2014}, month={Oct}, pages={193–204} }
 @article{coupet_2013, title={Historically Black colleges and universities and resource dependence: a Chow test of production functions}, volume={35}, ISSN={1360-080X 1469-9508}, url={http://dx.doi.org/10.1080/1360080X.2013.812054}, DOI={10.1080/1360080X.2013.812054}, abstractNote={While several studies have examined the impact of expenditures on graduation rates in higher education institutions, historically Black colleges and universities have strong government dependencies that suggest that these links might be different than for other universities. This paper investigates these links by estimating the production function of a subset of a large panel of 4-year institutions and uses a Chow test to find structural differences in production functions of Black universities and other universities. The analysis finds significant structural differences, notably that administrative expenditures have a significantly negative impact on graduation rates at Black universities. The findings suggest that the need to examine administrative frameworks and to diversify resource streams at Black universities is pressing. Using resource dependence theory, this paper concludes with a discussion about how these universities might mitigate the negative effects of government resource dependence.}, number={4}, journal={Journal of Higher Education Policy and Management}, publisher={Informa UK Limited}, author={Coupet, Jason}, year={2013}, month={Aug}, pages={355–369} }
 @inproceedings{coupet_barnum_2012, title={Decreasing the cost of metropolitan mass transit by optimizing resource allocation among public and private providers}, DOI={10.1145/2346536.2346573}, abstractNote={This paper develops a mathematical programming algorithm that allocates a transit agency's resources among its private and public operators with the objective of decreasing the cost of transit in the urban area while holding total service constant}, booktitle={Proceedings of the 14th Annual International Conference on Electronic Commerce - ICEC '12}, publisher={Association for Computing Machinery (ACM)}, author={Coupet, Jason and Barnum, Darold}, year={2012} }
 @article{coupet_barnum_2010, title={HBCU efficiency and endowments: An exploratory analysis}, volume={10}, DOI={10.1057/ijea.2010.22}, abstractNote={Discussions of efficiency among Historically Black Colleges and Universities (HBCUs) are often missing in academic conversations. This article seeks to assess efficiency of individual HBCUs using Data Envelopment Analysis (DEA), a non-parametric technique that can synthesize multiple inputs and outputs to determine a single efficiency score for each institution. The authors hypothesized that institutions with higher endowments will have higher efficiency scores due to an increased ability to acquire more productive capital. To test this hypothesis, efficiency scores were regressed on endowments and HBCU status, with control variables denoting if institutions are public or religiously affiliated. From DEA, we found that HBCUs were on average slightly more efficient that Predominantly White Institutions. Endowment levels were found to be significant determinants of efficiency for both sets of institutions. This suggests (1) that the general perception of HBCUs as inefficient requires reconsideration and (2) that schools with the most endowment resources are generally more efficient. Less efficient HBCUs should perhaps devote resources to building endowment levels to increase efficiency. We can also see the importance of methodologies allowing for investigation of both differences among HBCUs and differences in operational contexts among HBCUs and other schools.}, number={3}, journal={International Journal of Educational Advancement}, publisher={Springer Nature}, author={Coupet, Jason and Barnum, Darold}, year={2010}, pages={186–197} }
 @article{coupet_mcwilliams, title={Integrating Organizational Economics and Resource Dependence Theory to Explain the Persistence of Quasi Markets}, url={https://www.mdpi.com/2076-3387/7/3/29/pdf}, author={Coupet, Jason and McWilliams, Abagail} }