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Ex-Post Evaluation of Data-Driven Decisions: Conceptualizing Design Objectives
M3S, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland.ORCID iD: 0000-0001-6765-017x
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Digital Services and Systems.ORCID iD: 0000-0003-4250-4752
Environmental and Chemical Engineering, Faculty of Technology, University of Oulu, Oulu, Finland.ORCID iD: 0000-0001-7577-7218
M3S, Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland.ORCID iD: 0000-0002-7477-0783
2022 (English)In: Perspectives in Business Informatics Research: 21st International Conference on Business Informatics Research, BIR 2022, Rostock, Germany, September 21–23, 2022, Proceedings, Springer Nature, 2022, p. 18-34Conference paper, Published paper (Refereed)
Abstract [en]

This paper addresses a need for developing ex-post evaluation for data-driven decisions resulting in collaboration between humans and machines. As a first step of a design science project, we propose four design objectives for an ex-post evaluation solution, from the perspectives of both theory (concepts from the literature) and practice (through a case of industrial production planning): (1) incorporate multi-faceted decision evaluation criteria across the levels of environment, organization, and decision itself and (2) acknowledge temporal requirements of the decision contexts at hand, (3) define applicable mode(s) of collaboration between humans and machines to pursue collaborative rationality, and (4) enable a (potentially automated) feedback loop for learning from the (discrete or continuous) evaluations of past decisions. The design objectives contribute by supporting development of solutions for the observed lack of ex-post methods for evaluating data-driven decisions to enhance human-machine collaboration in decision making. Our future research involves design and implementation efforts through on-going industry-academia cooperation.

Place, publisher, year, edition, pages
Springer Nature, 2022. p. 18-34
Series
Lecture Notes in Business Information Processing (LNBIP), ISSN 1865-1348, E-ISSN 1865-1356 ; 462
Keywords [en]
Data-driven decisions, ex-post evaluation, design objectives, collaborative rationality, human-machine collaboration
National Category
Computer Systems
Research subject
Information systems
Identifiers
URN: urn:nbn:se:ltu:diva-92478DOI: 10.1007/978-3-031-16947-2_2ISI: 001284374600002Scopus ID: 2-s2.0-85138781306OAI: oai:DiVA.org:ltu-92478DiVA, id: diva2:1687349
Conference
21st International Conference on Business Informatics Research (BIR 2022), Rostock, Germany, September 21–23, 2022
Note

ISBN för värdpublikation: 978-3-031-16946-5; 978-3-031-16947-2

Available from: 2022-08-15 Created: 2022-08-15 Last updated: 2024-11-20Bibliographically approved

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Elragal, AhmedPäivärinta, Tero

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