Ketter, Wolfgang, Padmanabhan, Balaji, Pant, Gautam and Raghu, T. S. (2020). Special Issue Editorial: Addressing Societal Challenges through Analytics: An ESG ICE Framework and Research Agenda. J. Assoc. Inf. Syst., 21 (5). S. 1115 - 1128. ATLANTA: ASSOC INFORMATION SYSTEMS. ISSN 1558-3457

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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.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Ketter, WolfgangUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Padmanabhan, BalajiUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pant, GautamUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Raghu, T. S.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-349725
DOI: 10.17705/1jais.00631
Journal or Publication Title: J. Assoc. Inf. Syst.
Volume: 21
Number: 5
Page Range: S. 1115 - 1128
Date: 2020
Publisher: ASSOC INFORMATION SYSTEMS
Place of Publication: ATLANTA
ISSN: 1558-3457
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
KeywordsLanguage
REAL-TIME; CAUSAL INFERENCE; SIMULATION; MANAGEMENT; ALLOCATION; SUPPORT; SYSTEMSMultiple languages
Computer Science, Information Systems; Information Science & Library ScienceMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/34972

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