Human-machine collaboration in managerial decision making
Open accessThe claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
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 22,182 · see citing works
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 · see citing works
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 · see citing works
A law of comparative judgment.
Thurstone, L. (1994) · Psychological Review · doi:10.1037/h0070288 · Cited by 5,077 · see citing works
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 · see citing works
Artificial Intelligence and Management: The Automation-Augmentation Paradox
Raisch, S., & Krakowski, S. M. (2020) · Academy of Management Review · doi:10.5465/2018.0072 · Cited by 3,508 · see citing works
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 · see citing works
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 · see citing works
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 · see citing works
“Clinical versus Actuarial Judgment.”
Dawes, R. M., Faust, D., & Meehl, P. E. (1989) · Science · doi:10.1126/science.2648573 · Cited by 2,298 · see citing works
Artificial Intelligence: A Modern Approach
Ligęza, A. (1995) · Neurocomputing · doi:10.1016/0925-2312(95)90020-9 · Cited by 1,857 · see citing works
Clinical versus mechanical prediction: a meta-analysis
Grove, W. M., Zald, D. H., Lebow, B. S., Snitz, B. E., & Nelson, C. (2000) · Psychological Assessment · doi:10.1037/1040-3590.12.1.19 · Cited by 1,640 · see citing works
Lee, M. K. (2018) · Big Data & Society · doi:10.1177/2053951718756684 · Cited by 1,338 · see citing works
Dietvorst, B. J., Simmons, J. P., & Massey, C. (2018) · Management Science · doi:10.1287/mnsc.2016.2643 · Cited by 1,230 · see citing works
Deep Learning for Identifying Metastatic Breast CancerPreprint
Wang, D., Khosla, A., Gargeya, R., Irshad, H., & Beck, A. H. (2016) · arXiv.org · doi:10.48550/arxiv.1606.05718 · Cited by 1,028 · see citing works
Hill, J., Randolph Ford, W., & Farreras, I. G. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.02.026 · Cited by 856 · see citing works
A systematic review of algorithm aversion in augmented decision making
Burton, J. W., Stein, M., & Jensen, T. B. (2020) · Journal of Behavioral Decision Making · doi:10.1002/bdm.2155 · Cited by 814 · see citing works
Systematic Analysis of Breast Cancer Morphology Uncovers Stromal Features Associated with Survival
Beck, A. H., Sangoi, A. R., Leung, S. C. Y., Marinelli, R. J., Nielsen, T. O., van de Vijver, M. J., West, R. B., van de Rijn, M., & Koller, D. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3002564 · Cited by 765 · see citing works
People are averse to machines making moral decisions.
Bigman, Y. E., & Gray, K. (2018) · Cognition · doi:10.1016/j.cognition.2018.08.003 · Cited by 738 · see citing works
Devaraj, S., Easley, R. F., & Crant, J. M. (2008) · Information Systems Research · doi:10.1287/isre.1070.0153 · Cited by 716 · see citing works
Machine, platform, crowd: Harnessing our digital future
Peregrina, Á. F. A. (2018) · Economía industrial · Cited by 681 · see citing works
Artificial intelligence in organizations: New opportunities for phenomenon-based theorizing
von Krogh, G. (2018) · Academy of Management Discoveries · doi:10.5465/amd.2018.0084 · Cited by 641 · see citing works
The Feeling Economy: Managing in the Next Generation of Artificial Intelligence (AI)
Huang, M.-H., Rust, R., & Maksimovic, V. (2019) · California Management Review · doi:10.1177/0008125619863436 · Cited by 591 · see citing works
How artificial intelligence is changing drug discovery
Fleming, N. (2018) · Nature · doi:10.1038/d41586-018-05267-x · Cited by 546 · see citing works
Stubborn Reliance on Intuition and Subjectivity in Employee Selection
Highhouse, S. (2008) · Industrial and Organizational Psychology · doi:10.1111/j.1754-9434.2008.00058.x · Cited by 498 · see citing works
Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency
Mireille Hildebrandt, C. C., & del Castillo, C. C. (2020) · doi:10.1145/3351095 · Cited by 486 · see citing works
Attachment and trust in artificial intelligence
Gillath, O., Ai, T., Branicky, M. S., Keshmiri, S., Davison, R. B., & Spaulding, R. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106607 · Cited by 448 · see citing works
Svendsen, G. B., Johnsen, J.-A. K., Almås-Sørensen, L., & Vittersø, J. (2011) · Behaviour and Information Technology · doi:10.1080/0144929x.2011.553740 · Cited by 409 · see citing works
klaR Analyzing German Business Cycles
Weihs, C., Ligges, U., Luebke, K., & Raabe, N. (2005) · Springer eBooks · doi:10.1007/3-540-28397-8_36 · Cited by 403 · see citing works
Web Acceptance Model (WAM): Moderating effects of user experience
García, J. A. C., Muñoz‐Leiva, F., & Martínez, T. L. (2007) · Information & Management · doi:10.1016/j.im.2007.02.003 · Cited by 400 · see citing works
Augmenting the algorithm: Emerging human-in-the-loop work configurations
Grønsund, T., & Aanestad, M. (2020) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2020.101614 · Cited by 364 · see citing works
The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future
PARMAN, J. J. (2017) · Technology|Architecture + Design · doi:10.1080/24751448.2017.1292803 · Cited by 335 · see citing works
The relative influence of advice from human experts and statistical methods on forecast adjustments
Önkal, D., Goodwin, P., Thomson, M. E., Gonul, M. S., & Pollock, A. C. (2009) · Journal of Behavioral Decision Making · doi:10.1002/bdm.637 · Cited by 331 · see citing works
Machine, Platform, Crowd: Harnessing Our Digital Future
Brynjolfsson, E., & McAfee, A. P. (2017) · Cited by 313 · see citing works
Information Displays and Decision Processes
Kleinmuntz, D. N., & Schkade, D. A. (1993) · Psychological Science · doi:10.1111/j.1467-9280.1993.tb00265.x · Cited by 309 · see citing works
Groom, V., & Nass, C. (2007) · Interaction Studies Social Behaviour and Communication in Biological and Artificial Systems · doi:10.1075/is.8.3.10gro · Cited by 306 · see citing works
Feeling our way to machine minds: people's emotions when perceiving mind in artificial intelligence
Shank, D. B., Graves, C., Gott, A., Gamez, P., & Rodriguez, S. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.04.001 · Cited by 293 · see citing works
Edwards, C. C., Edwards, A. P., Stoll, B., Lin, X., & Massey, N. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.08.027 · Cited by 286 · see citing works
Disparate Interactions: An Algorithm-in-the-Loop Analysis of Fairness in Risk Assessments
Green, B., & Chen, Y. (2019) · Proceedings of the Conference on Fairness, Accountability, and Transparency · doi:10.1145/3287560.3287563 · Cited by 275 · see citing works
Toward Acceptable Domestic Robots: Applying Insights from Social Psychology
Young, J. E., Hawkins, R., Sharlin, E., & Igarashi, T. (2008) · International Journal of Social Robotics · doi:10.1007/s12369-008-0006-y · Cited by 266 · see citing works
Business Artificial Intelligence
Jiménez-Pastor, A. (2021) · Fundació Parc Científic Universitat de València eBooks · doi:10.7203/pcuv-9 · Cited by 253 · see citing works
Hoffman, M., Kahn, L. B., & Li, D. (2018) · The Quarterly Journal of Economics · doi:10.1093/qje/qjx042 · Cited by 252 · see citing works
Bader, V., & Kaiser, S. (2019) · Organization · doi:10.1177/1350508419855714 · Cited by 232 · see citing works
Suen, H.-Y., Chen, M. Y.-C., & Lu, S. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2019.04.012 · Cited by 231 · see citing works
Fildes, R. A., & Goodwin, P. (2007) · INFORMS Journal on Applied Analytics · doi:10.1287/inte.1070.0309 · Cited by 225 · see citing works
Beyond design and use: How scholars should study intelligent technologies
Bailey, D. E., & Barley, S. R. (2019) · Information and Organization · doi:10.1016/j.infoandorg.2019.100286 · Cited by 215 · see citing works
Metcalf, L., Askay, D. A., & Rosenberg, L. B. (2019) · California Management Review · doi:10.1177/0008125619862256 · Cited by 197 · see citing works
The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future
Kelly, K. T. (2016) · Cited by 184 · see citing works
Data Analysis and Decision Support
Baier, D., Decker, R., & Schmidt-Thieme, L. (2005) · Studies in classification, data analysis, and knowledge organization · doi:10.1007/3-540-28397-8 · Cited by 179 · see citing works
Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems
Andras, P., Esterle, L., Guckert, M., Han, T. A., Lewis, P. R., Milanovic, K., Payne, T., Perret, C., Pitt, J., Powers, S. T., et al. (2018) · IEEE Technology and Society Magazine · doi:10.1109/mts.2018.2876107 · Cited by 153 · see citing works
Just How Smart Are Smart Machines
Davenport, T. H., & Kirby, J. (2016) · Dialnet (Universidad de la Rioja) · Cited by 135 · see citing works
Lay Perceptions of Selection Decision Aids in US and Non-US Samples
Diab, D. L., Pui, S.-Y., Yankelevich, M., & Highhouse, S. (2011) · International Journal of Selection and Assessment · doi:10.1111/j.1468-2389.2011.00548.x · Cited by 121 · see citing works
prefmod: AnRPackage for Modeling Preferences Based on Paired Comparisons, Rankings, or Ratings
Hatzinger, R., & Dittrich, R. (2012) · Journal of Statistical Software · doi:10.18637/jss.v048.i10 · Cited by 102 · see citing works
Wang, J., Molina, M. D., & Sundar, S. S. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106278 · Cited by 100 · see citing works
What People Want From Their Professionals: Attitudes Toward Decision‐making Strategies
Eastwood, J., Snook, B., & Luther, K. (2012) · Journal of Behavioral Decision Making · doi:10.1002/bdm.741 · Cited by 97 · see citing works
Datification, Organizational Strategy, and IS Research: What’s the Score?
Markus, M. L. (2017) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2017.08.003 · Cited by 90 · see citing works
Dittrich, R., Hatzinger, R., & Katzenbeisser, W. (1998) · Journal of the Royal Statistical Society Series C (Applied Statistics) · doi:10.1111/1467-9876.00125 · Cited by 82 · see citing works
How Human–Computer “Superminds” Are Redefining the Future of Work
Malone, T. W. (2019) · Why Humans Matter More Than Ever · doi:10.7551/mitpress/12450.003.0010 · Cited by 81 · see citing works
Machines as Teammates: A Collaboration Research Agenda
Seeber, I., Bittner, E. A. C., Briggs, R. O., de Vreede, G., de Vreede, T., Druckenmiller, D. A., Maier, R. K., Merz, A. B., Oeste-Reiß, S., Randrup, N., et al. (2018) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2018.055 · Cited by 74 · see citing works
AI Challenges in Human-Robot Cognitive TeamingPreprint
Chakraborti, T., Subbarao Kambhampati, B., Scheutz, M. J., & Zhang, Y. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1707.04775 · Cited by 58 · see citing works
Hoffman, M., Kahn, L., & Li, D. (2015) · National Bureau of Economic Research · doi:10.3386/w21709 · Cited by 57 · see citing works
What people want from their professionals: attitudes toward decision-making strategies
(2013) · Strategic Direction · doi:10.1108/sd.2013.05629daa.011 · Cited by 48 · see citing works
Building a More Intelligent Enterprise
Schoemaker, P. J. H., & Tetlock, P. E. (2019) · The MIT Press eBooks · doi:10.7551/mitpress/11859.003.0014 · Cited by 45 · see citing works
Sinclair, C. D. (1982) · Lecture notes in statistics · doi:10.1007/978-1-4612-5771-4_16 · Cited by 35 · see citing works
RADAR: automated task planning for proactive decision support
Grover, S., Sengupta, S., Chakraborti, T., Mishra, A. P., & Subbarao Kambhampati, B. (2020) · Human-Computer Interaction · doi:10.1080/07370024.2020.1726751 · Cited by 26 · see citing works
Digital Today, Cognitive Tomorrow
Rometty, G. (2018) · The MIT Press eBooks · doi:10.7551/mitpress/11645.003.0004 · Cited by 25 · see citing works
B-PaDY: robot co-worker in a bumper assembly line
Kinugawa, J., Kanazawa, A., & Kosuge, K. (2016) · ROBOMECH Journal · doi:10.1186/s40648-016-0064-0 · Cited by 4 · see citing works
IRIBE, M., Maeta, N., Endo, G., TAKUBO, T., Ohira, M., & KINUGASA, T. (2016) · ROBOMECH Journal · doi:10.1186/s40648-016-0053-3 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 6
- [9]9. Brynjolfsson, E., & McAfee, A. (2017). The business of artificial intelligence. Harvard Business Review, 1-20.
- [14]14. David, H. A. (1963). The method of paired comparisons (Vol. 12). London: Griffon.
- [57]57. Samek, W., Montavon, G., Vedaldi, A., Hansen, L. K., & Müller, K. R. (2019). Explainable AI: interpreting, explaining and visualizing deep learning (Vol. 11700). Springer Nature.
- [59]59. Schrage, M. (2017). 4 models for using AI to make decisions. Harvard Business Review.
- [71]71. Wilson, H. J., & Daugherty, P. R. (2018). Collaborative intelligence: humans and AI are joining forces. Harvard Business Review, 96, 114-123.
- [72]72. Wilson, H. J., Daugherty, P., & Shukla, P. (2016). How one clothing company blends AI and human expertise. Harvard Business Review.
Cited by
Sorted by citations
Bankins, S., Ocampo, A. C., Marrone, M., Restubog, S. L. D., & Woo, S. E. (2024) · Journal of Organizational Behavior · doi:10.1002/job.2735 · Cited by 799 · see citing works
Cao, G., Duan, Y., Edwards, J. S., & Dwivedi, Y. K. (2021) · Technovation · doi:10.1016/j.technovation.2021.102312 · Cited by 571 · see citing works
“, 2021) and it is still unclear if and when people are willing to cooperate with machines (Haesevoets et al., 2021), although conditions favoring information technology (IT) acceptance have long been seen as a central pillar in research into IT innovations (Verdegem and De Marez, 2011).”
BackgroundThe rise of artificial intelligence – understanding the AI identity threat at the workplace
Mirbabaie, M., Brünker, F., Möllmann Frick, N. R. J., & Stieglitz, S. (2022) · Electronic Markets · doi:10.1007/s12525-021-00496-x · Cited by 362 · see citing works
Artificial intelligence (AI)-assisted HRM: Towards an extended strategic framework
Malik, A., Budhwar, P. S., & Kazmi, B. A. (2022) · Human Resource Management Review · doi:10.1016/j.hrmr.2022.100940 · Cited by 310 · see citing works
Kong, H., Yin, Z., Baruch, Y., & Yuan, Y. (2023) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2023.103928 · Cited by 291 · see citing works
Quaquebeke, N. V., & Gerpott, F. H. (2023) · Journal of Leadership & Organizational Studies · doi:10.1177/15480518231181731 · Cited by 261 · see citing works
Noble, S. M., Mende, M., Grewal, D., & Parasuraman, A. (2022) · Journal of Retailing · doi:10.1016/j.jretai.2022.04.003 · Cited by 257 · see citing works
Chen, D., Esperança, J. P., & Wang, S. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.884830 · Cited by 198 · see citing works
Managing with Artificial Intelligence: An Integrative Framework
Hillebrand, L., Raisch, S., & Schad, J. (2025) · Academy of Management Annals · doi:10.5465/annals.2022.0072 · Cited by 193 · see citing works
Hao, X., Demir, E., & Eyers, D. R. (2024) · Technology in Society · doi:10.1016/j.techsoc.2024.102662 · Cited by 183 · see citing works
Song, Y., Zhang, M., Hu, J., & Cao, X. (2022) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2022.103220 · Cited by 182 · see citing works
Keding, C., & Meissner, P. (2021) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.120970 · Cited by 168 · see citing works
Jain, R. M., Garg, N., & Khera, S. N. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.893691 · Cited by 155 · see citing works
Human-machine Collaborative Decision-making: An Evolutionary Roadmap Based on Cognitive Intelligence
Ren, M., Chen, N., & Qiu, H. (2023) · International Journal of Social Robotics · doi:10.1007/s12369-023-01020-1 · Cited by 151 · see citing works
Westphal, M., Vössing, M., Satzger, G., Yom‐Tov, G. B., & Rafaeli, A. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2023.107714 · Cited by 141 · see citing works
Li, J., Wu, T., Wu, Y. J., & Goh, M. (2023) · Management Decision · doi:10.1108/md-09-2022-1183 · Cited by 102 · see citing works
Bao, Y., Gong, W., & Yang, K. (2023) · Systems · doi:10.3390/systems11090442 · Cited by 96 · see citing works
Challenges of human—machine collaboration in risky decision-making
Xiong, W., Fan, H., Ma, L., & Wang, C. (2022) · Frontiers of Engineering Management · doi:10.1007/s42524-021-0182-0 · Cited by 95 · see citing works
AI-empowered KM processes for decision-making: empirical evidence from worldwide organisations
Leoni, L., Gueli, G., Ardolino, M., Panizzon, M., & Gupta, S. (2024) · Journal of Knowledge Management · doi:10.1108/jkm-03-2024-0262 · Cited by 93 · see citing works
Effective human–AI work design for collaborative decision-making
Jain, R., Garg, N., & Khera, S. N. (2023) · Kybernetes · doi:10.1108/k-04-2022-0548 · Cited by 85 · see citing works
Lanz, L., Briker, R., & Gerpott, F. H. (2023) · Journal of Business Ethics · doi:10.1007/s10551-023-05393-1 · Cited by 85 · see citing works
Mahade, A., Elmahi, A., Alomari, K. M., & Abdalla, A. A. (2025) · Discover Sustainability · doi:10.1007/s43621-025-01114-y · Cited by 82 · see citing works
Employee-(ro)bot collaboration in service: an interdependence perspective
Le, K. B. Q., Sajtos, L., & Fernandez, K. V. (2022) · Journal of service management · doi:10.1108/josm-06-2021-0232 · Cited by 81 · see citing works
Humans as teammates: The signal of human–AI teaming enhances consumer acceptance of chatbots
Li, Y., Li, Y., Chen, Q., & Chang, Y. (2024) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2024.102771 · Cited by 77 · see citing works
How do citizens perceive the use of Artificial Intelligence in public sector decisions?
Haesevoets, T., Verschuere, B., Van Severen, R., & Roets, A. (2024) · Government Information Quarterly · doi:10.1016/j.giq.2023.101906 · Cited by 74 · see citing works
Self-citationDeterminants Affecting Consumer Trust in Communication With AI Chatbots
Li, J., Wu, L., Qi, J., Zhang, Y., Wu, Z., & Hu, S. (2023) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.328089 · Cited by 73 · see citing works
Ivanov, S. H. (2022) · foresight · doi:10.1108/fs-09-2021-0183 · Cited by 72 · see citing works
Narkhede, G. B., Chinchanikar, S. S., Narkhede, R., & Chaudhari, T. (2024) · Journal of strategy and management · doi:10.1108/jsma-06-2023-0144 · Cited by 72 · see citing works
From coexistence to co-creation: Blurring boundaries in the age of AI
Waardenburg, L., & Huysman, M. (2022) · Information and Organization · doi:10.1016/j.infoandorg.2022.100432 · Cited by 71 · see citing works
Han, Z., Tu, Y., & Huang, C. (2023) · IEEE Transactions on Learning Technologies · doi:10.1109/tlt.2023.3257511 · Cited by 67 · see citing works
Gaczek, P., Leszczyński, G., & Mouakher, A. (2023) · Industrial Marketing Management · doi:10.1016/j.indmarman.2023.09.007 · Cited by 63 · see citing works
Qi, M., Wu, T., Duan, W., & Li, S. (2025) · Behavioral Sciences · doi:10.3390/bs15050696 · Cited by 62 · see citing works
Human-machine plan conflict and conflict resolution in a visual search task
Pan, Y., & Xu, J. (2025) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2024.103377 · Cited by 54 · see citing works
The ethical AI—paradox: why better technology needs more and not less human responsibility
Cremer, D. D., & Kasparov, G. (2021) · AI and Ethics · doi:10.1007/s43681-021-00075-y · Cited by 54 · see citing works
The double-edged sword effect of artificial intelligence awareness among hotel employees
Liu, S., & Cheng, P. (2024) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-01-2024-0051 · Cited by 54 · see citing works
Customer experience quality with social robots: Does trust matter?
Roy, S. K., Singh, G., Sadeque, S., & Gruner, R. L. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.123032 · Cited by 51 · see citing works
Engineering Brain: Metaverse for future engineering
Wang, X., Wang, J., Wu, C., Xu, S., & Ma, W. (2022) · AI in Civil Engineering · doi:10.1007/s43503-022-00001-z · Cited by 50 · see citing works
Marocco, S., Barbieri, B., & Talamo, A. (2024) · AI · doi:10.3390/ai5040123 · Cited by 50 · see citing works
Pawde, S. V., & Dave, J. (2025) · Sustainable Food Technology · doi:10.1039/d5fb00172b · Cited by 50 · see citing works
Trust and AI weight: human-AI collaboration in organizational management decision-making
Wen, Y., Wang, J., & Chen, X. (2025) · Frontiers in Organizational Psychology · doi:10.3389/forgp.2025.1419403 · Cited by 47 · see citing works
Haesevoets, T., Verschuere, B., & Roets, A. (2025) · Government Information Quarterly · doi:10.1016/j.giq.2025.102029 · Cited by 45 · see citing works
Self-citationYan, Y., Wang, H., Yu, H., Wang, F., Fang, J., Niu, J., & Guo, S. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3154921 · Cited by 45 · see citing works
Human–Algorithm Collaboration Works Best if Humans Lead (Because it is Fair!)
Cremer, D. D., & McGuire, J. (2021) · Social Justice Research · doi:10.1007/s11211-021-00382-z · Cited by 43 · see citing works
Wei, X., Wang, C., & Liang Ma, A. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107556 · Cited by 43 · see citing works
McGuire, J., & Cremer, D. D. (2022) · AI and Ethics · doi:10.1007/s43681-022-00192-2 · Cited by 36 · see citing works
Navigating AI Convergence in Human–Artificial Intelligence Teams: A Signaling Theory Approach
Smith, A., Wagoner, H. P. V., Keplinger, K., & Çelebi, C. (2025) · Journal of Organizational Behavior · doi:10.1002/job.2856 · Cited by 36 · see citing works
Erlei, A., Das, R., Meub, L., Anand, A., & Gadiraju, U. (2022) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3491102.3517734 · Cited by 35 · see citing works
Huang, R., Tlili, A., Xu, L., Ying, C., Zheng, L., Metwally, A. H. S., Da, T., Chang, T., Wang, H., Mason, J., et al. (2023) · Journal of Applied Learning & Teaching · doi:10.37074/jalt.2023.6.2.33 · Cited by 35 · see citing works
Benabou, A., & Touhami, F. (2025) · International journal of production management and engineering · doi:10.4995/ijpme.2025.21900 · Cited by 33 · see citing works
Dynamics of user engagement: AI mastery goal and the paradox mindset in AI–employee collaboration
Marvi, R., Foroudi, P., & AmirDadbar, N. (2025) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2025.102908 · Cited by 33 · see citing works
Marketing automation and the scope of marketers' heuristics
Guercini, S. (2023) · Management Decision · doi:10.1108/md-07-2022-0909 · Cited by 32 · see citing works
Göndöcs, D., Horváth, S., & Dörfler, V. (2025) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2025.103622 · Cited by 32 · see citing works
Zhu, Y., Wang, T., Wang, C., Quan, W., & Tang, M. (2023) · Applied Sciences · doi:10.3390/app132412989 · Cited by 31 · see citing works
Human–artificial intellectual capital…beyond a fragmented perspective
Caputo, F. (2024) · Journal of Intellectual Capital · doi:10.1108/jic-06-2024-0195 · Cited by 31 · see citing works
Xu, C., & Cho, S.-E. (2025) · Sustainability · doi:10.3390/su17104335 · Cited by 31 · see citing works
Chaturvedi, A., Yadav, N., & Dasgupta, M. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2456534 · Cited by 30 · see citing works
Xu, J., Wu, T., Duan, W.-Y., & Cui, X. Z. (2025) · Behavioral Sciences · doi:10.3390/bs15070859 · Cited by 30 · see citing works
Kondapaka, P., Khanra, S., Malik, A., Kagzi, M., & Hemachandran, K. (2023) · Journal of Service Theory and Practice · doi:10.1108/jstp-06-2022-0134 · Cited by 30 · see citing works
Zaidi, S. Y. A., Ahmad, B., Aslam, M. F., Mahmood, F., Raza, S. B., & Zafar, M. (2024) · Global Business and Organizational Excellence · doi:10.1002/joe.22275 · Cited by 29 · see citing works
Do We Collaborate With What We Design?
Evans, K. D., Robbins, S., & Bryson, J. J. (2023) · Topics in Cognitive Science · doi:10.1111/tops.12682 · Cited by 28 · see citing works
A dual-pathway model of teacher-AI collaboration based on the job demands-resources theory
Hu, Y., Xu, Y., & Wu, B. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13421-y · Cited by 26 · see citing works
Exploring the role of trust in AI-driven decision-making: a systematic literature review
Montealegre-López, N. (2025) · Management Review Quarterly · doi:10.1007/s11301-025-00526-4 · Cited by 25 · see citing works
Talamo, A., Marocco, S., & Tricol, C. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.697101 · Cited by 25 · see citing works
Dignity and use of algorithm in performance evaluation
Zhang, L., & Amos, C. (2023) · Behaviour and Information Technology · doi:10.1080/0144929x.2022.2164214 · Cited by 24 · see citing works
Biswas, M. I., Talukder, M. S., & Khan, A. R. (2024) · China Accounting and Finance Review · doi:10.1108/cafr-08-2023-0095 · Cited by 23 · see citing works
Mudunuri, L. N. R., Hullurappa, M., Vemula, V. R., & Selvakumar, P. (2024) · Advances in business strategy and competitive advantage book series · doi:10.4018/979-8-3693-8442-8.ch006 · Cited by 22 · see citing works
Improving employee-robot collaboration in hospitality: Understanding the zero-sum mindset
Jin, D., Lu, L., & Lee, W. (2025) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2024.104062 · Cited by 22 · see citing works
Guggemos, J. (2024) · Computers and Education Artificial Intelligence · doi:10.1016/j.caeai.2024.100260 · Cited by 22 · see citing works
Applicants’ Fairness Perception of Human and AI Collaboration in Resume Screening
Ling, B., Dong, B., & Cai, F. (2024) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2024.2437235 · Cited by 21 · see citing works
Artificial Intelligence in Human Resource Management: A PRISMA-based Systematic Review
Benabou, A., & Touhami, F. (2025) · Acta Informatica Pragensia · doi:10.18267/j.aip.264 · Cited by 21 · see citing works
Sun, L., Hu, R., & Su, H. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1705671 · Cited by 21 · see citing works
Augmenting diversity in hiring decisions with artificial intelligence tools
Wilkens, U., Lutzeyer, I., Zheng, C. S.-M., Beşer, A., & Prilla, M. (2025) · The International Journal of Human Resource Management · doi:10.1080/09585192.2025.2492867 · Cited by 19 · see citing works
Chen, W., Li, A., Pan, C., Yu, T., Ali, A., & Sun, Y. (2025) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2025.102994 · Cited by 19 · see citing works
Mahmoud, A. Y., Neagu, D. C., Scrimieri, D., & Abdullatif, A. (2023) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2023.107295 · Cited by 19 · see citing works
Perceived opacity leads to algorithm aversion in the workplace
Yijun, Z. H. A. O., Xu, L., Yu, F., & Wanglong, J. I. N. (2024) · Acta Psychologica Sinica · doi:10.3724/sp.j.1041.2024.00497 · Cited by 19 · see citing works
Liu, T., You, H.-B., Gkiotsalitis, K., & Cats, O. (2024) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2024.104184 · Cited by 19 · see citing works
Mohammed, N. Y. M. N. Y., & Samak, Y. A. A. (2025) · Frontiers in Human Dynamics · doi:10.3389/fhumd.2025.1519442 · Cited by 18 · see citing works
Kazakova, A., Kim, Y., Choi, S., & Kim, I. (2025) · Journal of Travel & Tourism Marketing · doi:10.1080/10548408.2025.2468465 · Cited by 17 · see citing works
Lin, X., Meng, L., & Chen, L. (2025) · Journal of Business Research · doi:10.1016/j.jbusres.2025.115541 · Cited by 17 · see citing works
Gaczek, P., Leszczyński, G., Wei, Y., & Sun, H. (2025) · Journal of Business Ethics · doi:10.1007/s10551-025-06083-w · Cited by 17 · see citing works
Emotion, Cultural Valuation of Being Human and AI Services
Tubadji, A., & Huang, H. (2023) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2023.3246930 · Cited by 16 · see citing works
Marocco, S., Talamo, A., & Quintiliani, F. (2024) · Frontiers in Artificial Intelligence · doi:10.3389/frai.2024.1303691 · Cited by 16 · see citing works
Navigating human-AI dynamics: implications for organizational performance (SLR)
Khushk, A., Zhiying, L., Xu, Y., & Zhang, X. (2024) · International journal of organizational analysis · doi:10.1108/ijoa-04-2024-4456 · Cited by 15 · see citing works
Bulut, O., Wongvorachan, T., He, S., & Lee, S. (2024) · Discover Education · doi:10.1007/s44217-024-00209-4 · Cited by 15 · see citing works
Marocco, S., Talamo, A., & Quintiliani, F. (2024) · Applied Sciences · doi:10.3390/app14135613 · Cited by 14 · see citing works
Nagpal, M., Cremer, D. D., & Hiel, A. V. (2024) · Business & Society · doi:10.1177/00076503241271298 · Cited by 14 · see citing works
Peng, Z., & Wan, Y. (2025) · Education and Information Technologies · doi:10.1007/s10639-025-13586-6 · Cited by 14 · see citing works
Chen, H., Chan, I. Y. S., Dong, Z., & Samuel, T.-A. (2025) · Advanced Engineering Informatics · doi:10.1016/j.aei.2025.103555 · Cited by 14 · see citing works
Taking Algorithmic (Vs. Human) Advice Reveals Different Goals to Others
Efendić, E., de Calseyde, P. P. F. M. V., Bahník, Š., & Vranka, M. A. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2023.2210886 · Cited by 13 · see citing works
Hybride Intelligenz: Zusammenarbeit mit KI-Assistenzsystemen in wissensintensiven Bereichen
Seufert, S., & Meier, C. (2023) · HMD Praxis der Wirtschaftsinformatik · doi:10.1365/s40702-023-01012-9 · Cited by 13 · see citing works
Emotional Intelligence in the Age of AI
Gill, M. A., & Mathur, A. (2024) · Advances in business information systems and analytics book series · doi:10.4018/979-8-3693-3140-8.ch014 · Cited by 13 · see citing works
Persson, M., & Wallo, A. (2024) · Gender Technology and Development · doi:10.1080/09718524.2024.2406039 · Cited by 13 · see citing works
Wang, F., Liu, X., Lv, F., Wang, C., Shi, J., Zheng, X., & Li, C. (2025) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2025.04.019 · Cited by 13 · see citing works
Managing human–AI tensions in HRM: a learning approach to identify practical AI integration pathways
Talwar, S., Alshaghdali, N. O., Gupta, P., & Singhal, A. B. (2025) · Journal of Enterprise Information Management · doi:10.1108/jeim-03-2025-0139 · Cited by 13 · see citing works
What happens at the interface of digitalisation and accounting?
Bhimani, A., Cinquini, L., & Malmi, T. (2025) · The British Accounting Review · doi:10.1016/j.bar.2025.101742 · Cited by 12 · see citing works
Factors Affecting Human-Generated AI Collaboration: Trust and Perceived Usefulness as Mediators
Chae, H.-S., & Yoon, C. (2025) · Information · doi:10.3390/info16100856 · Cited by 12 · see citing works
Blind scouting: using artificial intelligence to alleviate bias in selection
Dubois, L.-É., & Walzak, L. (2025) · Personnel Review · doi:10.1108/pr-02-2024-0130 · Cited by 12 · see citing works
Chen, L., Hsieh, J. J. P.-A., & Chan, K. W. (2024) · MIS Quarterly · doi:10.25300/misq/2023/16664 · Cited by 11 · see citing works
Hou, Y., Xu, X., & Pan, B. (2024) · Information Sciences · doi:10.1016/j.ins.2024.121511 · Cited by 11 · see citing works
How locus of causality shapes human-AI decision-making
Gaczek, P., Leszczyński, G., Kot, M., & Pozharliev, R. (2025) · Management Decision · doi:10.1108/md-07-2024-1635 · Cited by 11 · see citing works
- Authors
- Haesevoets, T., De Cremer, D., Dierckx, K., & Van Hiel, A.
- Affiliations
- Ghent University (BE)
- Corresponding author
- Haesevoets, Tessa
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2021-06
- Volume
- 119
- Pages
- 106730
- ISSN
- 0747-5632 (ISSN-L)
- 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
- 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 › Psychology › Social Psychology › 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
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review