@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={
 Nonprofits engaged in public service provision can receive funding from both donors and governments. Much of the nonprofit performance theory suggests that donors are unlikely to base donation decisions on nonprofit production. However, governments may prioritize performance in nonprofit funding decisions. We combine study internal production reports for the years 2010–2016 from 535 Habitat for Humanity Affiliates with financial data from IRS Form 990 reports and housing price data from the FHA. We then use a dynamic panel design to compare the effects of performance on donor and government funding. Production does not increase donations, but a 1% increase in production increases government grant revenue by 0.28%. Our findings indicate that nonprofit performance theory should move beyond the donor-nonprofit dyad and explicitly explore the role of government principals. Our findings also suggest that while requirements that accompany government funding might be cumbersome for nonprofits, government entities might use the data in future grant decisions.}, 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={AIMS
This study aims to understand the motivations and benefits for universities and nonprofit college access and success organizations to develop formal partnerships.


METHODS
Participants in this study were staff from a major urban research university (n = 22) and four nonprofit organizations (n = 17) that promote college access and success among underrepresented, low-income, and first-generation college students. Participants engaged in an audio-recorded interview that was transcribed and analyzed using thematic analysis.


RESULTS
Data suggested that staff from the universities and nonprofit organizations were both holistic in their understanding of college student success. In addition, they were both motivated to form partnerships in an effort to reduce barriers to success, although they, at times, identified different barriers that they wanted the partnership to address. Both university and nonprofit staff saw increased effectiveness of their practice as a result of partnering and university staff gained a better understanding of the greater nonprofit college access and success community.


CONCLUSION
Given the intense support that nonprofit organizations are able to provide with their level of funding, partnerships with universities can increase the success of underrepresented, low-income, and first-generation college students.}, 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. Jason Coupet North Carolina State University, USA Benchmarking HBCU Efficiency 96 It is clear from the voluminous previous literature that Historically Black Colleges and Universities (HBCUs) achieve important student outcomes (Dannenberg, 2014; Gasman et al., 2007; Perna et al., 2009; Price, Spriggs, & Swinton, 2011). Traditional evaluation of HBCUs has emphasized graduation and retention, but emphasis by federal policy makers has shifted to both efficiency and the repayment of federal student loans (Dannenberg, 2014). HBCUs are placed squarely in the center of these foci. HBCUs also have suffered disproportionately from state budget cuts and sometimes lack the necessary infrastructure to raise funds (Gasman, 2009). Given increasing scrutiny by policy makers and thin budgets, and operating efficiently is critical for HBCUs. Efficiency, in this context, does not mean cost cutting, but maximizing what is possible with available. HBCUs have a long history of prioritizing this, and tend to be slightly more efficient than their non-HBCU counterparts. However, there is high variance in efficiency among HBCUs (Coupet & Barnum, 2010), indicating that they are several HBCUs that would benefit from improved efficiency. HBCUs are a unique set of institutions with common goals and shared challenges (Coupet, 2013), but also heterogenous institutions, so universities looking to improve efficiency can look to other HBCUs as a framework for improvement. This process is known as benchmarking (Jackson & Lund, 2000). Benchmarking can help improve the pursuit of organizational goals, including efficiency, by identifying similar institutions from which to learn (Post & Sprunk, 1999). While effectiveness can be built in to efficiency measurements, the most efficient institutions often cannot be considered worthy of emulation unless they are both effective and efficient (Golany & Tamir, 1995; Chiao, Lan, & Yen, 2010. Recent federal initiatives have emphasized the extent to which students at a given institution are able to repay student loans as a mark of effectiveness and continued federal support. For HBCUs, this means that it is important to maximize resources in graduating and retaining students, but that being effective means that an acceptable number of students are able to repay their student loans. Federal financial penalties are implemented when more than 15% of students default on student loans in consecutive years (Education, 2014). When benchmarking, HBCUs should look not only to efficient peers, but to peers that are both efficient (the best student outcomes given limited resources) and effective. How can HBCUs use benchmarking to identify peers that are both efficient and effective? This chapter uses Data Envelopment Analysis (DEA), a nonparametric quantitative methodology based in linear mathematical programming, to benchmark the efficiency and effectiveness of HBCUs. It does this in two stages. First, HBCUs 32 more pages are available in the full version of this document, which may be purchased using the "Add to Cart" button on the product's webpage: www.igi-global.com/chapter/benchmarking-hbcuefficiency/156855?camid=4v1 This title is available in Advances in Higher Education and Professional Development, InfoSci-Books, InfoSci-Education, Library Science, Information Studies, and Education, Business, Administration, and Management, Communications, Social Science, and Healthcare, InfoSciGovernment and Law, InfoSci-Social Sciences and Humanities, InfoSci-Education and Leadership Collection, InfoSci-Select, InfoSci-Select. Recommend this product to your librarian: www.igi-global.com/e-resources/libraryrecommendation/?id=92}, 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={Corporate social responsibility (CSR) has become a mandate for strategic managers and is often an important element of a differentiation strategy, but there is little research on how managers can make socially responsible decisions within the context of competitive strategy. In this study we explain how data envelopment analysis (DEA) results can be used to determine the trade-offs inherent in managing the triple bottom line of profits, people and the planet. Once the trade-offs are well understood, managers can implement sustainable competitive strategies that incorporate socially responsible decisions. Using public data from the electric power generation industry, we demonstrate how DEA can be utilized to determine the trade-offs between efficiency, costs and pollution reduction, allowing managers to make and champion socially responsible decisions. We discuss the general applicability of our method for making strategic decisions incorporating the triple bottom line. Copyright © 2014 John Wiley & Sons, Ltd and ERP Environment}, 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} }