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
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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]
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Dietvorst, B. J., Simmons, J. P., & Massey, C. (2018) · Management Science · doi:10.1287/mnsc.2016.2643 · Cited by 1,230
“For example, people often give less weight to other people’s advice than they should when left to their own devices (see Bonaccio & Dalal, 2006); however, it is possible that people will commit to using another person’s advice in a constrained manner.”
BackgroundForecasting: theory and practice
Petropoulos, F., Apiletti, D., Assimakopoulos, V., Babaï, M. Z., Barrow, D. K., Taieb, S. B., Bergmeir, C., Bessa, R. J., Bijak, J., Boylan, J. E., et al. (2022) · International Journal of Forecasting · doi:10.1016/j.ijforecast.2021.11.001 · Cited by 1,187
Almost human: Anthropomorphism increases trust resilience in cognitive agents.
de Visser, E. J., Monfort, S. S., McKendrick, R., Smith, M. A. B., McKnight, P. E., Krueger, F., & Parasuraman, R. (2016) · Journal of Experimental Psychology: Applied · doi:10.1037/xap0000092 · Cited by 614
Baird, A., & Maruping, L. M. (2021) · MIS Quarterly · doi:10.25300/misq/2021/15882 · Cited by 512
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
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