A quantitative optimization framework for market-driven academic program portfolios

Burgher, Joshua; Hamers, Herbert

doi:10.1108/ijem-03-2018-0099

Cited by 7 publications

(13 citation statements)

References 28 publications

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“…Recently (Burgher, Hamers 2020) proposed a decision support tool based on a quantitative approach aimed at optimizing the composition of portfolios of market-driven academic programs. Both the approach proposed in this paper and the approach introduced by (Burgher, Hamers, 2020) demic Programs. The main idea of both approaches is balancing financial and non-financial dimensions to achieve the desired impact of portfolios upon universities' strategic goals and their financial stability as well as market needs.…”

Section: Discussionmentioning

confidence: 99%

“…In a recent study Burgher and Hamers (Burgher, Hamers, 2020) proposed a quantitative model that can be used for decision support for planning and optimizing the composition of academic program portfolios in higher education. The model provides five-year horizon planning and was tested on the data of a leading US private university (not disclosed).…”

Section: Hypothesis: Universities With a Balanced Portfolio Of Resear...mentioning

confidence: 99%

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2022

Foresight and STI Governance

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It publishes original research articles, offering new theoretical insights and practice-oriented knowledge in important areas of strategic planning and the creation of science, technology, and innovation (STI) policy, and it examines possible and alternative futures in all human endeavors in order to make such insights available to the right person at the right time to ensure the right decision.The journal acts as a scientific forum, contributing to the interaction between researchers, policy makers, and other actors involved in innovation processes. It encompasses all facets of STI policy and the creation of technological, managerial, product, and social innovations. Foresight and STI Governance welcomes works from scholars based in all parts of the world.Topics covered include:• Foresight methodologies and best practices;• Long-term socioeconomic priorities for strategic planning and policy making;• Innovative strategies at the national, regional, sectoral, and corporate levels;• The development of National Innovation Systems;• The exploration of the innovation lifecycle from idea to market;• Technological trends, breakthroughs, and grand challenges;• Technological change and its implications for economy, policy-making, and society;• Corporate innovation management;• Human capital in STI; and many others.The target audience of the journal comprises research scholars, university professors, postgraduates, policy-makers, business people, the expert community, and others who are interested in S&T and innovation analyses, foresight studies, and policy issues. The journal is included into the 1st quartile (Q1) of the Scopus

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Section: Discussionmentioning

confidence: 99%

Section: Hypothesis: Universities With a Balanced Portfolio Of Resear...mentioning

confidence: 99%

Untitled

2022

Foresight and STI Governance

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“…The application of these models can arise from the most varied areas, some practical examples regarding the use of mathematical optimization can be seen in research such as that by Georgiou and Tsantas (2002) and Burgher and Hamers (2020). The work by Georgiou and Tsantas (2002) suggested a new model of labor planning, using mathematical models and Markov chains, enabling a kind of oriented labor stock that optimizes the training process and waits for potential admissions.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…On the other hand, the study by Burgher and Hamers (2020) applied the Integer Linear Programming (ILP) model to optimize the formation of portfolios of academic programs focused on the market. ILP has high usability in mathematical optimization problems for maximization (of profit) or minimization (of costs), since it is a tool that offers a qualitative and quantitative result of the resource variables as integer values, being useful to this and other application areas (Burgher and Hamers, 2020).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

“…Bai and Sarkis (2013) show that the process management stands out for considering the management of organizational change, ensuring that the activities for the implementation process are managed in a rational way. At this point, the use of mathematical optimization tools is effective to ensure the success of the improvement, due to their ability to perform risk prediction, allowing the proactive behavior of managers in face of uncertainties after the adoption of a new organizational strategy (Burgher and Hamers, 2020; Conforti et al , 2015; Schmiedel and Recker, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Managing BPM life cycle transition risks in a small educational company to support change management

Souza

Carvalho

Santos

et al. 2021

BIJ

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PurposeThis article aims to present a methodology applied to the transition between the “as-is” and “to-be” stages of the Business Process Management (BPM) life cycle, supporting its implementation and maintenance for the organizational stability, using techniques from Operations Research and Information and Decision Theories, applied by a gamified system.Design/methodology/approachThe study used Design Science Research, considering the following methodological elements: (1) artifact model, after initial analysis of the organization; (2) problem relevance, incorporating components to the Markov transition matrix and the integer programming model for resource optimization; (3) model evaluation, establishing mechanisms to validate the methodology created; (4) research contributions, showing benefits found; (5) systematic approach, detailing methods used; (6) model's research process, revealing the means for execution; and (7) final presentation of results.FindingsAfter planning three scenarios for the company, containing zero, one or two implemented processes, the matrix of states in the Markov chain effectively identified the states of greater and lesser transition uncertainty. At the same time, the optimization model guided the organization toward a stable change in its operational and financial areas.Practical implicationsThe company's planning capacity has increased, as its managers now have a methodology to promote rational decisions about the development of plans. Before, managers believed that the methodology used was only for large companies. However, this view changed with the results, showing a structured view of the ability to absorb new customers, relocate established ones, increase the comfort level for employees and increase profitability for the company's business.Originality/valueThe study showed that the combination of techniques opens a new perspective to the incorporation of BPM in organizations, allows a smooth change between the current and future state, making it possible to predict the evolution of transition scenarios.

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