Prescriptive analytics in public-sector decision-making: A framework and insights from charging infrastructure planning

Tobias Brandt, Sebastian Wagner and Dirk Neumann

European Journal of Operational Research, 2021, vol. 291, issue 1, 379-393

Abstract: In this work, we investigate the challenges public-sector organizations face when seeking to leverage prescriptive analytics and provide insights into the public value such data-driven tools and methods can provide. Using the strategic triangle of value, legitimacy, and operational capacity as a starting point, we derive a framework to assess public-sector prescriptive analytics initiatives, along with six guiding questions that structure the assessment process. We present a case study applying prescriptive analytics to the placement of charge points in urban areas, a critical challenge many municipalities are currently facing in the transition towards electric mobility. Reflecting on the analytics application as well as its development and implementation process through the guiding questions, we derive key lessons for public-sector organizations seeking to apply prescriptive analytics.

Keywords: Decision support systems; Public value; Prescriptive analytics; Smart city; Electric mobility (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:291:y:2021:i:1:p:379-393

DOI: 10.1016/j.ejor.2020.09.034

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