The DOI matches its Crossref record; 165 of the 171 references it cites were found in a registry or an index.
Advice taking and decision-making: An integrative literature review, and implications for the organizational sciences
Overview
Integrity signals
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Cites
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Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Individuals frequently discount recommendations that contradict their prior judgment, even when those recommendations are objectively accurate (Bonaccio and Dalal 2006).”
From When Recruiters Meet Algorithms: Advice Taking and Bias in AI‐Assisted Recruitment (2026) · cites this paper as Bonaccio and Dalal 2006
In the citing paper
“Even when external advice is objectively accurate, decision makers frequently maintain their original judgment, especially when that advice contradicts their prior beliefs or professional intuition.”
From When Recruiters Meet Algorithms: Advice Taking and Bias in AI‐Assisted Recruitment (2026) · cites this paper as Bonaccio and Dalal 2006
In the citing paper
“This finding differs from the expectation that experienced judges may be more resistant to advice because they can generate more internal arguments supporting their initial view (Yaniv 2004;Bonaccio and Dalal 2006).”
From When Recruiters Meet Algorithms: Advice Taking and Bias in AI‐Assisted Recruitment (2026) · cites this paper as Bonaccio and Dalal 2006
In the citing paper
“Expertise may further amplify this discounting behavior.Individuals who perceive themselves as highly competent generally show stronger resistance to external advice (Bonaccio and Dalal 2006).”
From When Recruiters Meet Algorithms: Advice Taking and Bias in AI‐Assisted Recruitment (2026) · cites this paper as Bonaccio and Dalal 2006
In the citing paper
“Research indicates that convergent advice from multiple sources increases perceived validity and strengthens confidence in external recommendations (Bonaccio and Dalal 2006;Soll et al. 2022).”
From When Recruiters Meet Algorithms: Advice Taking and Bias in AI‐Assisted Recruitment (2026) · cites this paper as Bonaccio and Dalal 2006
In the citing paper
“Disagreement among advisors reduces trust and decreases the weight assigned to external inputs (Bonaccio and Dalal 2006;Wanzel et al. 2017;Yaniv et al. 2009).”
From When Recruiters Meet Algorithms: Advice Taking and Bias in AI‐Assisted Recruitment (2026) · cites this paper as Bonaccio and Dalal 2006
In the citing paper
“Unfortunately, humans tend to err in these estimates, often overestimating their chance of being correct, leading to an implicit, unwarranted preference for their own opinions, an ego bias [52][53][54][55][56][57] .”
From Enhancing human-AI collaboration: The case of colonoscopy (2024) · cites this paper as [53]
In the citing paper
“Trust was measured as CADx prediction utilization, defined as an endoscopist's willingness to follow the CADx prediction when the endoscopist initially disagreed with the CADx prediction 9,10”
From Appropriate trust in artificial intelligence for the optical diagnosis of colorectal polyps: the role of human/artificial intelligence interaction (2024) · cites this paper as [10]
In the citing paper
“Unsolicited advice can be received poorly and considered intrusive, whereas explicitly solicited advice can be considered cooperative and helpful.10”
From Appropriate trust in artificial intelligence for the optical diagnosis of colorectal polyps: the role of human/artificial intelligence interaction (2024) · cites this paper as [10]
Citations
Cites
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810
Judgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
Axelrod, R., & Hamilton, W. D. (1981) · Science · doi:10.1126/science.7466396 · Cited by 20,065
Agency Theory: An Assessment and Review
Eisenhardt, K. M. (1989) · The Academy of Management Review · doi:10.5465/amr.1989.4279003 · Cited by 13,338
The Social Psychology of Organizations.
Hackman, J. R., Katz, D., & Kahn, R. L. (1979) · Administrative Science Quarterly · doi:10.2307/2989929 · Cited by 12,243
Wasserman, S. S., Hedges, L. V., & Olkin, I. (1988) · Journal of Educational Statistics · doi:10.2307/1164953 · Cited by 10,377
Meyer, J. P., Stanley, D. J., Herscovitch, L., & Topolnytsky, L. (2002) · Journal of Vocational Behavior · doi:10.1006/jvbe.2001.1842 · Cited by 6,903
Statistical Methods for Meta-Analysis.
Freeman, P. R., Hedges, L. V., & Olkin, I. (1986) · Biometrics · doi:10.2307/2531069 · Cited by 4,840
French, J. R. P., & Raven, B. H. (1986) · University of Pittsburgh Press eBooks · doi:10.2307/jj.12381759.38 · Cited by 4,544
Connolly, T., & Axelrod, R. (1984) · Administrative Science Quarterly · doi:10.2307/2392957 · Cited by 3,947
Flagged first, then by citations
6 of the 171 references couldn’t be matched to a known paper.
Research works printed but not linked: 9
- Cooper, R. S. (1991). Information processing in the judge–adviser system of group decision-making. Unpublished master’s thesis, University of Illinois, Urbana-Champaign.
- Dalal, R. S. (2001). The effect of expert advice and financial incentives on cooperation. Unpublished master’s thesis, University of Illinois, Urbana-Champaign.
- Gibbons, A. M. (2003). Alternative forms of advice in natural decision settings. Unpublished master’s thesis, University of Illinois, Urbana-Champaign.
- Griffeth, 1995, The employee turnover process, Vol. 13, 245
- Jungermann, H. (1999). Advice-giving and taking. In Proceedings of the 32nd Hawaii International Conference on System Sciences (HICSS-32). Maui, HI: Institute of Electrical and Electronics Engineers, Inc. (IEEE). [CD-ROM]. www.gp.tu-berlin.de/Users/j/jungermann/Publications/Advice%20giving.html.
- Lualhati, J.C. (1992). Performance forecast accuracy and confidence in a judge–adviser decision system. Unpublished master’s thesis, University of Illinois, Urbana-Champaign.
- Merriam-Webster’s collegiate dictionary (11th ed.) (2003). [Electronic version]. Springfield, MA: Merriam-Webster.
- Mount, 1995, The Big Five Personality Dimensions: implications for research and practice in human resources management, Vol. 13, 153
- Salas, E., & Cannon-Bowers, J.A. (Eds.) (2001). Shared cognition [Special Issue]. Journal of Organizational Behavior, 22(2).
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Metadata
- Authors
- Bonaccio, S., & Dalal, R. S.
- Affiliations
- Purdue University West Lafayette (US)
- Corresponding author
- Bonaccio, Silvia
- Venue
- Organizational Behavior and Human Decision Processes
- Publisher
- Elsevier BV
- Published
- 2006-11
- Volume
- 101
- Issue
- 2
- Pages
- 127-151
- ISSN
- 0749-5978 (ISSN-L)
- OpenAlex
- W2148237550
- Cited by
- 1,011
- References
- 171
- Citations by year
- 2026: 91 · 2025: 95 · 2024: 71 · 2023: 66 · 2022: 67 · 2021: 72 · 2020: 59 · 2019: 66 · 2018: 54 · 2017: 58 · 2016: 46 · 2015: 53 · 2014: 41 · 2013: 34 · 2012: 54
- FWCI
- 6.86
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Organizational Behavior and Human Decision Processes (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Leadership, Behavior, and Decision-Making Studies
- Social Sciences › Psychology › Social Psychology › Team Dynamics and Performance
- Keywords
- advice taking, advice-giving, decision-making, decision accuracy, confidence, organizational behavior
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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