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Human-machine collaboration in managerial decision making

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Haesevoets, Tessa, De Cremer, David, Dierckx, Kim, Van Hiel, Alain·2021·Computers in Human Behavior

DOI 10.1016/j.chb.2021.106730

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Artificial intelligence: a modern approach
Kumar, D. A., Balasubramanian, S., Byeon, D. H., & Manerkar, P. G. V. (1995) · Choice Reviews Online · doi:10.5860/choice.33-1577 · Cited by 22,188
Trust in Automation: Designing for Appropriate Reliance
Lee, J. D., & See, K. A. (2004) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/hfes.46.1.50_30392 · Cited by 6,605
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
Adadi, A., & Berrada, M. (2018) · IEEE Access · doi:10.1109/access.2018.2870052 · Cited by 6,294
A law of comparative judgment.
Thurstone, L. (1994) · Psychological Review · doi:10.1037/h0070288 · Cited by 5,077
Personality trait structure as a human universal.
McCrae, R. R., & Costa, P. T. (1997) · American Psychologist · doi:10.1037/0003-066x.52.5.509 · Cited by 4,234
Prolific.ac—A subject pool for online experiments
Palan, S., & Schitter, C. (2018) · Journal of Behavioral and Experimental Finance · doi:10.1016/j.jbef.2017.12.004 · Cited by 3,450
Algorithm aversion: People erroneously avoid algorithms after seeing them err.
Dietvorst, B. J., Simmons, J. P., & Massey, C. (2015) · Journal of Experimental Psychology: General · doi:10.1037/xge0000033 · Cited by 3,232
Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making
Jarrahi, M. H. (2018) · Business Horizons · doi:10.1016/j.bushor.2018.03.007 · Cited by 2,772
Artificial Intelligence and Management: The Automation–Augmentation Paradox
Raisch, S., & Krakowski, S. (2021) · Academy of Management Review · doi:10.5465/amr.2018.0072 · Cited by 2,755
“Clinical versus Actuarial Judgment.”
Dawes, R. M., Faust, D., & Meehl, P. E. (1989) · Science · doi:10.1126/science.2648573 · Cited by 2,298

Flagged first, then by citations

Show all 68 references

Research works printed but not linked: 6

Brynjolfsson, 2017, The business of artificial intelligence, Harvard Business Review, 1
David, 1963, Vol. 12
Samek, 2019, Vol. 11700
Schrage, 2017, 4 models for using AI to make decisions, Harvard Business Review
Wilson, 2018, Collaborative intelligence: Humans and AI are joining forces, Harvard Business Review, 96, 114
Wilson, 2016, How one clothing company blends AI and human expertise, Harvard Business Review

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Authors: Haesevoets, T., De Cremer, D., Dierckx, K., & Van Hiel, A.
Affiliations: Ghent University (BE)
Corresponding author: Haesevoets, Tessa
ORCID: Haesevoets, Tessa
De Cremer, David
Dierckx, Kim
Venue: Computers in Human Behavior
Publisher: Elsevier BV
Published: 2021-06
Volume: 119
Pages: 106730
ISSN: 0747-5632 (ISSN-L)
DOI: 10.1016/j.chb.2021.106730
OpenAlex: W3128394414
Cited by: 280
References: 68
Citations by year: 2026: 78 · 2025: 89 · 2024: 45 · 2023: 35 · 2022: 25 · 2021: 8
FWCI: 25.70
Type: journal article
Language: en
Open access: bronze
doi.org
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
doi.org/10.15223/policy-017 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
doi.org/10.15223/policy-012 (stm-asf)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-004 (stm-asf)
Locations: Computers in Human Behavior (publishedVersion)
Ghent University Academic Bibliography (Ghent University) (publishedVersion)
Ghent University Academic Bibliography (Ghent University) (submittedVersion, other-oa)
Funders: Universiteit Gent
Topics: Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
Keywords: human-machine collaboration, management decision-making, artificial intelligence in organizations, acceptance of AI, decision-making power, human control

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