Match!

Organizational Decision-Making Structures in the Age of Artificial Intelligence:

Published on Aug 1, 2019in California Management Review
· DOI :10.1177/0008125619862257
Yash Raj Shrestha4
Estimated H-index: 4
(ETH Zurich),
Shiko M. Ben-Menahem4
Estimated H-index: 4
(ETH Zurich),
Georg von Krogh47
Estimated H-index: 47
(ETH Zurich)
Sources
Abstract
How does organizational decision-making change with the advent of artificial intelligence (AI)-based decision-making algorithms? This article identifies the idiosyncrasies of human and AI-based dec...
  • References (0)
  • Citations (5)
📖 Papers frequently viewed together
2019
3 Authors (Ibtissam Zaza, ..., Timothy Greer)
2019
4 Authors (Claretha Hughes, ..., Adam Arroyos)
2 Citations
2 Citations
78% of Scinapse members use related papers. After signing in, all features are FREE.
References0
Newest
Cited By5
Newest
Abstract How do configurations of humans and algorithms evolve as firms adopt artificial intelligence (AI) capabilities, and what are the implications for work and organization? We explored these questions through a two-year long case study of an organization in the international maritime trade that introduced automated algorithmic support for data analysis and prediction work. Drawing on a human–machine configuration perspective, we found that humans and the algorithm were configured and reconf...
Source
#1Purva Grover (IIMA: Indian Institute of Management Ahmedabad)
Last. Yogesh K. Dwivedi (Swansea University)H-Index: 57
view all 3 authors...
In this digital era, data is new oil and artificial intelligence (AI) is new electricity, which is needed in different elements of operations management (OM) such as manufacturing, product development, services and supply chain. This study explores the feasibility of AI utilization within an organization on six factors such as job-fit, complexity, long-term consequences, affect towards use, social factors and facilitating conditions for different elements of OM by mining the collective intellige...
Source
#1Marat Bakpayev (UMN: University of Minnesota)H-Index: 3
#1Marat Bakpayev (UMN: University of Minnesota)
Last. Sukki Yoon (Bryant University)H-Index: 15
view all 4 authors...
Abstract The authors conduct two studies to examine artificial intelligence (AI) in creative programmatic contexts. Findings indicate that consumers have equally favorable attitudes toward human-created and AI-created cognitive-oriented advertising, but form lower evaluations of AI-created emotion-oriented creative content. Programmatic creative ads are effective for rational appeals and utilitarian products, but are ineffective for emotional appeals and hedonic products. The studies indicate th...
1 CitationsSource
#1Merlin Stone (University of Portsmouth)
#1Merlin Stone (University of Portsmouth)H-Index: 22
Last. Liz Machtynger (University of Portsmouth)H-Index: 3
view all 9 authors...
The purpose of this paper is to review literature about the applications of artificial intelligence (AI) in strategic situations and identify the research that is needed in the area of applying AI to strategic marketing decisions.,The approach was to carry out a literature review and to consult with marketing experts who were invited to contribute to the paper.,There is little research into applying AI to strategic marketing decision-making. This research is needed, as the frontier of AI applica...
Source
As artificial intelligence (AI) is enabling the automation of many facets of management and is increasingly used in a wide range of strategic tasks, it is necessary to better understand its relevance for strategic management. However, research on the interplay of AI and strategic management is unbalanced and lacks a coherent structure due to its multidisciplinarity. This article contributes to the emerging academic discussion by systematically reviewing and categorizing the substantial amount of...
Source