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Special Issue Editorial: Addressing Societal Challenges through Analytics: An ESG ICE Framework and Research Agenda
Journal article

Special Issue Editorial: Addressing Societal Challenges through Analytics: An ESG ICE Framework and Research Agenda

Wolfgang Ketter, Balaji Padmanabhan, Gautam Pant and T. S. Raghu
Journal of the Association for Information Systems, Vol.21(5), pp.9-1127
09/01/2020
DOI: 10.17705/1jais.00631
url
https://pure.eur.nl/en/publications/83be3e25-4dc1-4741-944c-09dd6f5dc158View
Open Access

Abstract

There is both a need and an opportunity to develop analytics-driven approaches to address many significant challenges facing society. Toward this end, this article presents an “ESG-ICE” framework that builds on environmental, social, and governance (ESG) perspectives by considering their interactions with desirable outcomes such as individual well-being, community welfare, and economic resilience (ICE). We then provide exemplars of research problems in energy, mobility, and health that can be positioned and understood through this lens so that they can be solved through analytics. Recognizing that addressing societal challenges through analytics presents unique methodological challenges, we highlight specific opportunities that emerge for the design of (1) new cyberphysical infrastructures, (2) smart markets and decision support systems, (3) hybrid predictive, prescriptive, and causal approaches, and (4) mechanisms that facilitate data sharing.
Decision support systems Data retrieval Hybrid systems Mathematical analysis

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