Wise Data-Driven Decision-Making - Responsible AI and Analytics for an Ethical and Inclusive Digitized Society Access content directly
Conference Papers Year : 2021

Wise Data-Driven Decision-Making

Morteza Namvar
  • Function : Author
  • PersonId : 1132802

Abstract

This article reports on the preliminary findings of research in progress. In one of the first empirical studies in the information systems and organisations literature, we investigate the role of wisdom as a decision-making capacity in the use of analytics. To address the research question of how decision-makers can use analytics to make wise decisions, we interviewed six decision-makers and four data analytics in a diverse range of industries. Based on the findings, we introduce a process model of wise data-driven decision-making (WD3M). This study offers significant theoretical and practical implications as it extends our understanding of how wisdom can be defined and used in the analytics context. For practitioners, this study offers important guidelines as to how to make wise and more effective data-driven decisions.
Fichier principal
Vignette du fichier
512902_1_En_10_Chapter.pdf (417.12 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03648104 , version 1 (21-04-2022)

Licence

Attribution

Identifiers

Cite

Morteza Namvar, Ali Intezari. Wise Data-Driven Decision-Making. 20th Conference on e-Business, e-Services and e-Society (I3E), Sep 2021, Galway, Ireland. pp.109-119, ⟨10.1007/978-3-030-85447-8_10⟩. ⟨hal-03648104⟩
26 View
12 Download

Altmetric

Share

Gmail Facebook X LinkedIn More