A Quantitative Optimization Framework for Market-Driven Academic Program Portfolios

Joshua Burgher, Herbert Hamers

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Abstract

We introduce a quantitative model that can be used for decision support for planning and optimizing the composition of portfolios of market-driven academic programs within the context of higher education. This model is intended to enable leaders in colleges and universities to maximize financial performance of the selection of market-driven academic programs while also achieving qualitative targets for dimensions of the portfolio (e.g., mission alignment, student demographics, and faculty characteristics). This model is then applied to a case from a school of continuing education at a prestigious private university in the US. The results of the case highlight the potential positive impact of utilizing a model such as this for planning purposes.
Original languageEnglish
Place of PublicationTilburg
PublisherCentER, Center for Economic Research
Number of pages44
Volume2017-025
Publication statusPublished - 15 May 2017

Publication series

NameCentER Discussion Paper
Volume2017-025

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Keywords

  • program portfolio optimization
  • strategic planning
  • integer linea programming
  • higher education
  • quantifying qualitatvie program data

Cite this

Burgher, J., & Hamers, H. (2017). A Quantitative Optimization Framework for Market-Driven Academic Program Portfolios. (CentER Discussion Paper; Vol. 2017-025). Tilburg: CentER, Center for Economic Research.