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

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  • Brandt, Tobias
  • Wagner, Sebastian
  • Neumann, Dirk

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.

Suggested Citation

  • Brandt, Tobias & Wagner, Sebastian & Neumann, Dirk, 2021. "Prescriptive analytics in public-sector decision-making: A framework and insights from charging infrastructure planning," European Journal of Operational Research, Elsevier, vol. 291(1), pages 379-393.
    • Handle: RePEc:eee:ejores:v:291:y:2021:i:1:p:379-393
    DOI: 10.1016/j.ejor.2020.09.034
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    as
    1. Edward L. Glaeser & Andrew Hillis & Scott Duke Kominers & Michael Luca, 2016. "Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy," American Economic Review, American Economic Association, vol. 106(5), pages 114-118, May.
    2. Capar, Ismail & Kuby, Michael & Leon, V. Jorge & Tsai, Yu-Jiun, 2013. "An arc cover–path-cover formulation and strategic analysis of alternative-fuel station locations," European Journal of Operational Research, Elsevier, vol. 227(1), pages 142-151.
    3. Ho-Yin Mak & Ying Rong & Zuo-Jun Max Shen, 2013. "Infrastructure Planning for Electric Vehicles with Battery Swapping," Management Science, INFORMS, vol. 59(7), pages 1557-1575, July.
    4. Aaron Shapiro, 2017. "Reform predictive policing," Nature, Nature, vol. 541(7638), pages 458-460, January.
    5. Gnanendran, K. & Ho, J. K. & Sundarraj, R. P., 2003. "Stock selection heuristics for interdependent items," European Journal of Operational Research, Elsevier, vol. 145(3), pages 585-605, March.
    6. Harikesh S. Nair & Sanjog Misra & William J. Hornbuckle IV & Ranjan Mishra & Anand Acharya, 2017. "Big Data and Marketing Analytics in Gaming: Combining Empirical Models and Field Experimentation," Marketing Science, INFORMS, vol. 36(5), pages 699-725, September.
    7. Chung, Sung Hoon & Kwon, Changhyun, 2015. "Multi-period planning for electric car charging station locations: A case of Korean Expressways," European Journal of Operational Research, Elsevier, vol. 242(2), pages 677-687.
    8. Silvia Ferrari & Francisco Cribari-Neto, 2004. "Beta Regression for Modelling Rates and Proportions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(7), pages 799-815.
    9. Mallik Angalakudati & Siddharth Balwani & Jorge Calzada & Bikram Chatterjee & Georgia Perakis & Nicolas Raad & Joline Uichanco, 2014. "Business Analytics for Flexible Resource Allocation Under Random Emergencies," Management Science, INFORMS, vol. 60(6), pages 1552-1573, June.
    10. Bonges, Henry A. & Lusk, Anne C., 2016. "Addressing electric vehicle (EV) sales and range anxiety through parking layout, policy and regulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 83(C), pages 63-73.
    11. Liesiö, Juuso & Mild, Pekka & Salo, Ahti, 2008. "Robust portfolio modeling with incomplete cost information and project interdependencies," European Journal of Operational Research, Elsevier, vol. 190(3), pages 679-695, November.
    12. Charlotte van Ooijen & Barbara Ubaldi & Benjamin Welby, 2019. "A data-driven public sector: Enabling the strategic use of data for productive, inclusive and trustworthy governance," OECD Working Papers on Public Governance 33, OECD Publishing.
    13. Prasanna Tambe, 2014. "Big Data Investment, Skills, and Firm Value," Management Science, INFORMS, vol. 60(6), pages 1452-1469, June.
    14. Tran, Trung Hieu & Nagy, Gábor & Nguyen, Thu Ba T. & Wassan, Niaz A., 2018. "An efficient heuristic algorithm for the alternative-fuel station location problem," European Journal of Operational Research, Elsevier, vol. 269(1), pages 159-170.
    15. Vidgen, Richard & Shaw, Sarah & Grant, David B., 2017. "Management challenges in creating value from business analytics," European Journal of Operational Research, Elsevier, vol. 261(2), pages 626-639.
    16. Göpfert, Paul & Bock, Stefan, 2019. "A Branch&Cut approach to recharging and refueling infrastructure planning," European Journal of Operational Research, Elsevier, vol. 279(3), pages 808-823.
    17. Prasanna Tambe & Lorin M. Hitt, 2012. "The Productivity of Information Technology Investments: New Evidence from IT Labor Data," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 599-617, September.
    18. Keeney, Ralph L., 1996. "Value-focused thinking: Identifying decision opportunities and creating alternatives," European Journal of Operational Research, Elsevier, vol. 92(3), pages 537-549, August.
    19. G. O. Mohler & M. B. Short & Sean Malinowski & Mark Johnson & G. E. Tita & Andrea L. Bertozzi & P. J. Brantingham, 2015. "Randomized Controlled Field Trials of Predictive Policing," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1399-1411, December.
    20. John Bryson & Alessandro Sancino & John Benington & Eva Sørensen, 2017. "Towards a multi-actor theory of public value co-creation," Public Management Review, Taylor & Francis Journals, vol. 19(5), pages 640-654, May.
    21. Batur, Demet & Bekki, Jennifer M. & Chen, Xi, 2018. "Quantile regression metamodeling: Toward improved responsiveness in the high-tech electronics manufacturing industry," European Journal of Operational Research, Elsevier, vol. 264(1), pages 212-224.
    22. Robin Gregory & Ralph L. Keeney, 1994. "Creating Policy Alternatives Using Stakeholder Values," Management Science, INFORMS, vol. 40(8), pages 1035-1048, August.
    23. Buket Avci & Karan Girotra & Serguei Netessine, 2015. "Electric Vehicles with a Battery Switching Station: Adoption and Environmental Impact," Management Science, INFORMS, vol. 61(4), pages 772-794, April.
    24. John Steven Edwards & Eduardo Rodriguez, 2019. "Remedies against bias in analytics systems," Journal of Business Analytics, Taylor & Francis Journals, vol. 2(1), pages 74-87, January.
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