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Algorithm appreciation: People prefer algorithmic to human judgment

Citations

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Cited by:

  1. Christopher Robertson & Andrew Woods & Kelly Bergstrand & Jess Findley & Cayley Balser & Marvin J Slepian, 2023. "Diverse patients’ attitudes towards Artificial Intelligence (AI) in diagnosis," PLOS Digital Health, Public Library of Science, vol. 2(5), pages 1-16, May.
  2. Benjamin Semujanga & Xavier Parent-Rocheleau, 2024. "Time-Based Stress and Procedural Justice: Can Transparency Mitigate the Effects of Algorithmic Compensation in Gig Work?," IJERPH, MDPI, vol. 21(1), pages 1-16, January.
  3. Bing Bai & Hengchen Dai & Dennis J. Zhang & Fuqiang Zhang & Haoyuan Hu, 2022. "The Impacts of Algorithmic Work Assignment on Fairness Perceptions and Productivity: Evidence from Field Experiments," Manufacturing & Service Operations Management, INFORMS, vol. 24(6), pages 3060-3078, November.
  4. Fei Cai & Jiashu Zhang & Lei Zhang, 2024. "The Impact of Artificial Intelligence Replacing Humans in Making Human Resource Management Decisions on Fairness: A Case of Resume Screening," Sustainability, MDPI, vol. 16(9), pages 1-19, May.
  5. Manav Raj & Justin Berg & Rob Seamans, 2023. "Art-ificial Intelligence: The Effect of AI Disclosure on Evaluations of Creative Content," Papers 2303.06217, arXiv.org, revised Jun 2024.
  6. Anne-Marie Nussberger & Lan Luo & L. Elisa Celis & M. J. Crockett, 2022. "Public attitudes value interpretability but prioritize accuracy in Artificial Intelligence," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
  7. Mourali, Mehdi & Novakowski, Dallas & Pogacar, Ruth & Brigden, Neil, 2025. "Post hoc explanations improve consumer responses to algorithmic decisions," Journal of Business Research, Elsevier, vol. 186(C).
  8. Pascal Oliver Heßler & Jella Pfeiffer & Sebastian Hafenbrädl, 2022. "When Self-Humanization Leads to Algorithm Aversion," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(3), pages 275-292, June.
  9. Bauer, Kevin & Gill, Andrej, 2021. "Mirror, mirror on the wall: Machine predictions and self-fulfilling prophecies," SAFE Working Paper Series 313, Leibniz Institute for Financial Research SAFE.
  10. Benedikt Berger & Martin Adam & Alexander Rühr & Alexander Benlian, 2021. "Watch Me Improve—Algorithm Aversion and Demonstrating the Ability to Learn," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(1), pages 55-68, February.
  11. Yuanjun Feng & Vivek Chodhary & Yash Raj Shrestha, 2025. "Human aversion? Do AI Agents Judge Identity More Harshly Than Performance," Papers 2504.13871, arXiv.org.
  12. Chacon, Alvaro & Kaufmann, Esther, 2025. "An overview of the effects of algorithm use on judgmental biases affecting forecasting," International Journal of Forecasting, Elsevier, vol. 41(2), pages 424-439.
  13. Volkmar, Gioia & Fischer, Peter M. & Reinecke, Sven, 2022. "Artificial Intelligence and Machine Learning: Exploring drivers, barriers, and future developments in marketing management," Journal of Business Research, Elsevier, vol. 149(C), pages 599-614.
  14. Hermann, Erik & Puntoni, Stefano, 2024. "Artificial intelligence and consumer behavior: From predictive to generative AI," Journal of Business Research, Elsevier, vol. 180(C).
  15. von Walter, Benjamin & Wentzel, Daniel & Raff, Stefan, 2023. "Should service firms introduce algorithmic advice to their existing customers? The moderating effect of service relationships," Journal of Retailing, Elsevier, vol. 99(2), pages 280-296.
  16. Benjamin von Walter & Dietmar Kremmel & Bruno Jäger, 2022. "The impact of lay beliefs about AI on adoption of algorithmic advice," Marketing Letters, Springer, vol. 33(1), pages 143-155, March.
  17. Robert M. Gillenkirch & Julia Ortner & Sebastian Robert & Louis Velthuis, 2023. "Designing incentives and performance measurement for advisors: How to make decision-makers listen to advice," Working Papers 2304, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
  18. Cameron Kormylo & Idris Adjerid & Sheryl Ball & Can Dogan, 2026. "Till Tech Do Us Part: Betrayal Aversion and Its Role in Algorithm Use," Management Science, INFORMS, vol. 72(1), pages 343-367, January.
  19. Liu, Yiming & Wang, Tianhong, 2025. "Treating differently or equally: A study exploring attitudes towards AI moral advisors," Technology in Society, Elsevier, vol. 82(C).
  20. Shen, Zhengyu & Jin, Liyin, 2024. "Bargaining with algorithms: How consumers respond to offers proposed by algorithms versus humans," Journal of Retailing, Elsevier, vol. 100(3), pages 345-361.
  21. Carmen Cagiza & Massochi Faustino & Ilidio Cagiza & Aristoteles Cajiza, 2025. "AI-Powered Advisory Platforms for Sustainable Marketing Innovation in SMEs: Empirical Evidence from Underserved U.S. Markets," Sustainability, MDPI, vol. 17(20), pages 1-27, October.
  22. Yongping Bao & Ludwig Danwitz & Fabian Dvorak & Sebastian Fehrler & Lars Hornuf & Hsuan Yu Lin & Bettina von Helversen, 2022. "Similarity and Consistency in Algorithm-Guided Exploration," CESifo Working Paper Series 10188, CESifo.
  23. Li, Sinan & Huang, Xinmin & Sheng, Yunying & Chen, Kai, 2025. "The interactive effect of recommendation subjects and message types on consumers' suboptimal food purchase intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 84(C).
  24. Lauren Rhue, 2024. "The Anchoring Effect, Algorithmic Fairness, and the Limits of Information Transparency for Emotion Artificial Intelligence," Information Systems Research, INFORMS, vol. 35(3), pages 1479-1496, September.
  25. Pathak, Kanishka & Prakash, Gyan & Samadhiya, Ashutosh & Kumar, Anil & Luthra, Sunil, 2025. "Impact of Gen-AI chatbots on consumer services experiences and behaviors: Focusing on the sensation of awe and usage intentions through a cybernetic lens," Journal of Retailing and Consumer Services, Elsevier, vol. 82(C).
  26. Juan Wu & Zhe & Zhang & Amit Mehra, 2026. "When Is Self-Disclosure Optimal? Incentives and Governance of AI-Generated Content," Papers 2601.18654, arXiv.org.
  27. Choi, Yiseon & Dormady, Noah, 2025. "Can FICO scores be used to explain managerial decision making?: Evidence from a supply-chain resilience experiment," International Journal of Production Economics, Elsevier, vol. 288(C).
  28. Fumagalli, Elena & Rezaei, Sarah & Salomons, Anna, 2022. "OK computer: Worker perceptions of algorithmic recruitment," Research Policy, Elsevier, vol. 51(2).
  29. Chacon, Alvaro & Kausel, Edgar E. & Reyes, Tomas & Trautmann, Stefan, 2025. "Preventing algorithm aversion: People are willing to use algorithms with a learning label," Journal of Business Research, Elsevier, vol. 187(C).
  30. Efendić, Emir & Van de Calseyde, Philippe P.F.M. & Evans, Anthony M., 2020. "Slow response times undermine trust in algorithmic (but not human) predictions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 157(C), pages 103-114.
  31. Daniel Woods & Mustafa Abdallah & Saurabh Bagchi & Shreyas Sundaram & Timothy Cason, 2022. "Network defense and behavioral biases: an experimental study," Experimental Economics, Springer;Economic Science Association, vol. 25(1), pages 254-286, February.
  32. Jean-Pierre Benoît & Juan Dubra & Giorgia Romagnoli, 2022. "Belief Elicitation When More than Money Matters: Controlling for "Control"," American Economic Journal: Microeconomics, American Economic Association, vol. 14(3), pages 837-888, August.
  33. Murtaza, Zara & Sharma, Isha & Carbonell, Pilar, 2024. "Examining chatbot usage intention in a service encounter: Role of task complexity, communication style, and brand personality," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
  34. Siliang Tong & Nan Jia & Xueming Luo & Zheng Fang, 2021. "The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1600-1631, September.
  35. Yoan Hermstrüwer & Pascal Langenbach, 2022. "Fair Governance with Humans and Machines," Discussion Paper Series of the Max Planck Institute for Behavioral Economics 2022_04, Max Planck Institute for Behavioral Economics, revised 01 Mar 2023.
  36. Sarah D. English & Stephanie Denison & Ori Friedman, 2022. "Expectations of how machines use individuating information and base-rates," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 17(3), pages 628-645, May.
  37. Andreas Fügener & Jörn Grahl & Alok Gupta & Wolfgang Ketter, 2022. "Cognitive Challenges in Human–Artificial Intelligence Collaboration: Investigating the Path Toward Productive Delegation," Information Systems Research, INFORMS, vol. 33(2), pages 678-696, June.
  38. Ding, Zhenbin & Zhang, Yali & Sun, Jun & Goh, Mark & Yang, Zhaojun, 2025. "To reveal or conceal: AI identity disclosure strategies for merchants," International Journal of Production Economics, Elsevier, vol. 283(C).
  39. Ben Greiner & Philipp Grünwald & Thomas Lindner & Georg Lintner & Martin Wiernsperger, 2026. "Incentives, Framing, and Reliance on Algorithmic Advice: An Experimental Study," Management Science, INFORMS, vol. 72(1), pages 302-322, January.
  40. Liu, Nicole Tsz Yeung & Kirshner, Samuel N. & Lim, Eric T.K., 2023. "Is algorithm aversion WEIRD? A cross-country comparison of individual-differences and algorithm aversion," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
  41. Kevin Bauer & Moritz von Zahn & Oliver Hinz, 2023. "Expl(AI)ned: The Impact of Explainable Artificial Intelligence on Users’ Information Processing," Information Systems Research, INFORMS, vol. 34(4), pages 1582-1602, December.
  42. Spiegler, Simone & Hoda, Rashina & Pant, Aastha, 2026. "Images of AI: How AI practitioners view the impact of Artificial Intelligence on society, now and in the future," Technology in Society, Elsevier, vol. 84(C).
  43. Newman, David T. & Fast, Nathanael J. & Harmon, Derek J., 2020. "When eliminating bias isn’t fair: Algorithmic reductionism and procedural justice in human resource decisions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 160(C), pages 149-167.
  44. Hamsa Bastani & Osbert Bastani & Wichinpong Park Sinchaisri, 2026. "Improving Human Sequential Decision Making with Reinforcement Learning," Management Science, INFORMS, vol. 72(1), pages 733-755, January.
  45. Zhang, Lixuan & Yencha, Christopher, 2022. "Examining perceptions towards hiring algorithms," Technology in Society, Elsevier, vol. 68(C).
  46. Jonas Wanner & Lukas-Valentin Herm & Kai Heinrich & Christian Janiesch, 2022. "The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2079-2102, December.
  47. Samuel N. Kirshner, 2025. "Psychological Distance and Algorithm Aversion: Congruency and Advisor Confidence," Service Science, INFORMS, vol. 17(2-3), pages 74-91, June.
  48. Meng Liu & Xiaocheng Tang & Siyuan Xia & Shuo Zhang & Yuting Zhu & Qianying Meng, 2026. "Algorithm Aversion: Evidence from Ridesharing Drivers," Management Science, INFORMS, vol. 72(1), pages 193-203, January.
  49. Sarah Bankins & Paul Formosa & Yannick Griep & Deborah Richards, 2022. "AI Decision Making with Dignity? Contrasting Workers’ Justice Perceptions of Human and AI Decision Making in a Human Resource Management Context," Information Systems Frontiers, Springer, vol. 24(3), pages 857-875, June.
  50. Marina Chugunova & Wolfgang J. Luhan, 2022. "Ruled by robots: Preference for algorithmic decision makers and perceptions of their choices," Working Papers in Economics & Finance 2022-03, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
  51. Wang, Cuicui & Li, Yiyang & Fu, Weizhong & Jin, Jia, 2023. "Whether to trust chatbots: Applying the event-related approach to understand consumers’ emotional experiences in interactions with chatbots in e-commerce," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
  52. Scott Schanke & Gordon Burtch & Gautam Ray, 2026. "Digital Lyrebirds: Experimental Evidence That Voice-Based Deep Fakes Influence Trust," Management Science, INFORMS, vol. 72(1), pages 386-405, January.
  53. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
    • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
  54. Li, Sixian & Peluso, Alessandro M. & Duan, Jinyun, 2023. "Why do we prefer humans to artificial intelligence in telemarketing? A mind perception explanation," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
  55. Shengyu Cao & Ming Hu, 2026. "Supracompetitive Pricing Under AI Monoculture," Papers 2601.01279, arXiv.org, revised Jun 2026.
  56. Peng, Leiqing & Luo, Mengting & Guo, Yulang, 2023. "Deposit AI as the “invisible hand†to make the resale easier: A moderated mediation model," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
  57. Mark V. Pezzo & Jason W. Beckstead, 2020. "Algorithm aversion is too often presented as though it were non-compensatory: A reply to Longoni et al. (2020)," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(3), pages 449-451, May.
  58. Yuhao Fu & Nobuyuki Hanaki, 2024. "Do people rely on ChatGPT more than their peers to detect deepfake news?," ISER Discussion Paper 1233r, Institute of Social and Economic Research, The University of Osaka, revised Dec 2024.
  59. Ekaterina Jussupow & Kai Spohrer & Armin Heinzl & Joshua Gawlitza, 2021. "Augmenting Medical Diagnosis Decisions? An Investigation into Physicians’ Decision-Making Process with Artificial Intelligence," Information Systems Research, INFORMS, vol. 32(3), pages 713-735, September.
  60. Kim, Jeong Hyun & Kim, Jungkeun & Baek, Tae Hyun & Kim, Changju, 2025. "ChatGPT personalized and humorous recommendations," Annals of Tourism Research, Elsevier, vol. 110(C).
  61. Mahmud, Hasan & Islam, A.K.M. Najmul & Ahmed, Syed Ishtiaque & Smolander, Kari, 2022. "What influences algorithmic decision-making? A systematic literature review on algorithm aversion," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
  62. Mahmud, Hasan & Islam, A.K.M. Najmul & Mitra, Ranjan Kumar, 2023. "What drives managers towards algorithm aversion and how to overcome it? Mitigating the impact of innovation resistance through technology readiness," Technological Forecasting and Social Change, Elsevier, vol. 193(C).
  63. Christiane B. Haubitz & Cedric A. Lehmann & Andreas Fügener & Ulrich W. Thonemann, 2021. "The Risk of Algorithm Transparency: How Algorithm Complexity Drives the Effects on Use of Advice," ECONtribute Discussion Papers Series 078, University of Bonn and University of Cologne, Germany.
  64. Zhao, Haichuan & Song, Zisong & Cai, Zhenchuan, 2026. "Should AI or human agents handle customer complaints? Exploring the impact of agent type and complaint response type on recovery outcomes," Journal of Business Research, Elsevier, vol. 202(C).
  65. Lidan Xu & Ravi Mehta, 2022. "Technology devalues luxury? Exploring consumer responses to AI-designed luxury products," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1135-1152, November.
  66. Bauer, Kevin & von Zahn, Moritz & Hinz, Oliver, 2022. "Expl(AI)ned: The impact of explainable Artificial Intelligence on cognitive processes," SAFE Working Paper Series 315, Leibniz Institute for Financial Research SAFE, revised 2022.
  67. Jifei Wu & Xiangyun Zhang & Yimin Zhu & Grace Fang Yu-Buck, 2021. "Get Close to the Robot: The Effect of Risk Perception of COVID-19 Pandemic on Customer–Robot Engagement," IJERPH, MDPI, vol. 18(12), pages 1-17, June.
  68. Kaawach, Said & Kowalewski, Oskar & Talavera, Oleksandr, 2024. "Automatic versus manual investing: Role of past performance," Journal of Financial Stability, Elsevier, vol. 74(C).
  69. Pawe{l} Niszczota & Cassandra Grutzner, 2026. "Antisocial behavior towards large language model users: experimental evidence," Papers 2601.09772, arXiv.org.
  70. Xueling Li & Xiaoyan Zhang & Yuan Liu & Yuanying Mi & Yong Chen, 2022. "The impact of artificial intelligence on users' entrepreneurial activities," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 597-608, May.
  71. Zehnle, Meike & Hildebrand, Christian & Valenzuela, Ana, 2025. "Not all AI is created equal: A meta-analysis revealing drivers of AI resistance across markets, methods, and time," International Journal of Research in Marketing, Elsevier, vol. 42(3), pages 729-751.
  72. Keding, Christoph & Meissner, Philip, 2021. "Managerial overreliance on AI-augmented decision-making processes: How the use of AI-based advisory systems shapes choice behavior in R&D investment decisions," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
  73. Hu, Jihao & Huang, GuoQiong Ivanka & Wong, IpKin Anthony & Wan, Lisa C., 2024. "AI trust divide: How recruiter-candidate roles shape tourism personnel decision-making," Annals of Tourism Research, Elsevier, vol. 109(C).
  74. Tontrup, Stephan & Sprigman, Christopher Jon, 2025. "Strategic Delegation of Moral Decisions to AI," EconStor Preprints 335206, ZBW - Leibniz Information Centre for Economics.
  75. Francesco D'Acunto & Alberto G. Rossi, 2020. "Robo-Advising," CESifo Working Paper Series 8225, CESifo.
  76. Lieberman, Alicea & Schroeder, Juliana & Amir, On, 2022. "A voice inside my head: The psychological and behavioral consequences of auditory technologies," Organizational Behavior and Human Decision Processes, Elsevier, vol. 170(C).
  77. Bryce McLaughlin & Jann Spiess, 2022. "Algorithmic Assistance with Recommendation-Dependent Preferences," Papers 2208.07626, arXiv.org, revised Oct 2025.
  78. Mesbah, Neda & Tauchert, Christoph & Buxmann, Peter, 2021. "Whose Advice Counts More – Man or Machine? An Experimental Investigation of AI-based Advice Utilization," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 124796, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
  79. Khosrowabadi, Naghmeh & Hoberg, Kai & Lee, Yun Shin, 2025. "Guiding supervisors in artificial intelligence-enabled forecasting: Understanding the impacts of salience and detail on decision-making," International Journal of Forecasting, Elsevier, vol. 41(2), pages 716-732.
  80. Noemi Festic, 2022. "Same, same, but different! Qualitative evidence on how algorithmic selection applications govern different life domains," Regulation & Governance, John Wiley & Sons, vol. 16(1), pages 85-101, January.
  81. Christoph Keding, 2021. "Understanding the interplay of artificial intelligence and strategic management: four decades of research in review," Management Review Quarterly, Springer, vol. 71(1), pages 91-134, February.
  82. Harvey, Nigel & De Baets, Shari, 2025. "Factors affecting preferences between judgmental and algorithmic forecasts: Feedback, guidance and labeling effects," International Journal of Forecasting, Elsevier, vol. 41(2), pages 532-553.
  83. Ammeling, Jonas & Aubreville, Marc & Fritz, Alexis & Kießig, Angelika & Krügel, Sebastian & Uhl, Matthias, 2025. "An interdisciplinary perspective on AI-supported decision making in medicine," Technology in Society, Elsevier, vol. 81(C).
  84. Hewage, Harsha Chamara & Perera, H. Niles & De Baets, Shari, 2022. "Forecast adjustments during post-promotional periods," European Journal of Operational Research, Elsevier, vol. 300(2), pages 461-472.
  85. Narayanan, Pranadharthiharan & Somasundaram, Jeeva & Seifert, Matthias, 2025. "Risk-averse algorithmic support and inventory management," European Journal of Operational Research, Elsevier, vol. 322(3), pages 993-1004.
  86. van Esch, Patrick & Cui, Yuanyuan (Gina) & Das, Gopal & Jain, Shailendra Pratap & Wirtz, Jochen, 2022. "Tourists and AI: A political ideology perspective," Annals of Tourism Research, Elsevier, vol. 97(C).
  87. Ivanov, Dmitry, 2023. "Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability," International Journal of Production Economics, Elsevier, vol. 263(C).
  88. Staab, Philipp & Geschke, Sascha-Christopher, 2020. "Ratings als arbeitspolitisches Konfliktfeld: Das Beispiel Zalando," Study / edition der Hans-Böckler-Stiftung, Hans-Böckler-Stiftung, Düsseldorf, volume 127, number 429.
  89. Shiri Melumad & Rhonda Hadi & Christian Hildebrand & Adrian F. Ward, 2020. "Technology-Augmented Choice: How Digital Innovations Are Transforming Consumer Decision Processes," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 7(3), pages 90-101, October.
  90. Maya Balakrishnan & Kris Johnson Ferreira & Jordan Tong, 2026. "Human-Algorithm Collaboration with Private Information: Naïve Advice-Weighting Behavior and Mitigation," Management Science, INFORMS, vol. 72(1), pages 265-284, January.
  91. Gordillo Chávez, Danitza & Cloarec, Julien & Meyer-Waarden, Lars, 2024. "Opening the moral machine’s cover: How algorithmic aversion shapes autonomous vehicle adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 187(C).
  92. Schilke, Oliver & Reimann, Martin, 2025. "The transparency dilemma: How AI disclosure erodes trust," Organizational Behavior and Human Decision Processes, Elsevier, vol. 188(C).
  93. Yang Xiao, 2026. "Liability Sharing and Staffing in AI-Assisted Online Medical Consultation," Papers 2601.12817, arXiv.org.
  94. Mallory Avery & Andreas Leibbrandt & Joseph Vecci, 2023. "Does Artificial Intelligence Help or Hurt Gender Diversity? Evidence from Two Field Experiments on Recruitment in Tech," Monash Economics Working Papers 2023-09, Monash University, Department of Economics.
  95. Yasheng Chen & Mohammad Islam Biswas, 2021. "Turning Crisis into Opportunities: How a Firm Can Enrich Its Business Operations Using Artificial Intelligence and Big Data during COVID-19," Sustainability, MDPI, vol. 13(22), pages 1-17, November.
  96. Markus Jung & Mischa Seiter, 2021. "Towards a better understanding on mitigating algorithm aversion in forecasting: an experimental study," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 32(4), pages 495-516, December.
  97. Sebastian Krakowski & Darek Haftor & Johannes Luger & Natallia Pashkevich & Sebastian Raisch, 2026. "Human-Centered Artificial Intelligence: A Field Experiment," Management Science, INFORMS, vol. 72(1), pages 57-72, January.
  98. Chen Yang & Jing Hu, 2022. "When do consumers prefer AI-enabled customer service? The interaction effect of brand personality and service provision type on brand attitudes and purchase intentions," Journal of Brand Management, Palgrave Macmillan, vol. 29(2), pages 167-189, March.
  99. Ilanit SimanTov-Nachlieli, 2025. "More to Lose: The Adverse Effect of High Performance Ranking on Employees’ Preimplementation Attitudes Toward the Integration of Powerful AI Aids," Organization Science, INFORMS, vol. 36(1), pages 1-20, January.
  100. Huang, Xiaozhi & Wu, Xitong & Cao, Xin & Wu, Jifei, 2023. "The effect of medical artificial intelligence innovation locus on consumer adoption of new products," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
  101. Chen, Yaqi & Wang, Haizhong & Rao Hill, Sally & Li, Binglian, 2024. "Consumer attitudes toward AI-generated ads: Appeal types, self-efficacy and AI’s social role," Journal of Business Research, Elsevier, vol. 185(C).
  102. Roman V. Galperin, 2020. "Organizational Powers: Contested Innovation and Loss of Professional Jurisdiction in the Case of Retail Medicine," Organization Science, INFORMS, vol. 31(2), pages 508-534, March.
  103. Chugunova, Marina & Sele, Daniela, 2022. "We and It: An interdisciplinary review of the experimental evidence on how humans interact with machines," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 99(C).
  104. Francis de Véricourt & Georgia Perakis, 2020. "Frontiers in Service Science: The Management of Data Analytics Services: New Challenges and Future Directions," Service Science, INFORMS, vol. 12(4), pages 121-129, December.
  105. Hassan, Reda & Nguyen, Nhien & Finserås, Stine Rasdal & Adde, Lars & Strümke, Inga & Støen, Ragnhild, 2025. "Unlocking the black box: Enhancing human-AI collaboration in high-stakes healthcare scenarios through explainable AI," Technological Forecasting and Social Change, Elsevier, vol. 219(C).
  106. Chiara Longoni & Andrea Bonezzi & Carey K. Morewedge, 2020. "Resistance to medical artificial intelligence is an attribute in a compensatory decision process: response to Pezzo and Becksted (2020)," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(3), pages 446-448, May.
  107. Geyik, Pelin & Weijo, Henri, 2025. "How consumer market orientations shape algorithmic appreciation and avoidance in fashion," International Journal of Research in Marketing, Elsevier, vol. 42(4), pages 1187-1202.
  108. Wang, Xun & Rodrigues, Vasco Sanchez & Demir, Emrah & Sarkis, Joseph, 2024. "Algorithm aversion during disruptions: The case of safety stock," International Journal of Production Economics, Elsevier, vol. 278(C).
  109. Qin, Min & Qiu, Shanshan & Mou, Jian, 2025. "Task supported or task decision-making? Which AI workplace enhances employee AI identity more in manufacturing enterprise," Technology in Society, Elsevier, vol. 83(C).
  110. Sarah Spiekermann & Hanna Krasnova & Oliver Hinz & Annika Baumann & Alexander Benlian & Henner Gimpel & Irina Heimbach & Antonia Köster & Alexander Maedche & Björn Niehaves & Marten Risius & Manuel Tr, 2022. "Values and Ethics in Information Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(2), pages 247-264, April.
  111. Said Kaawach & Oskar Kowalewski & Oleksandr Talavera, 2023. "Automatic vs Manual Investing: Role of Past Performance," Discussion Papers 23-04, Department of Economics, University of Birmingham.
  112. Scott Schanke & Gordon Burtch & Gautam Ray, 2021. "Estimating the Impact of “Humanizing” Customer Service Chatbots," Information Systems Research, INFORMS, vol. 32(3), pages 736-751, September.
  113. Moshe Glickman & Tali Sharot, 2025. "How human–AI feedback loops alter human perceptual, emotional and social judgements," Nature Human Behaviour, Nature, vol. 9(2), pages 345-359, February.
  114. Hongchang Wang & Yingjie Zhang & Tian Lu, 2026. "The Power of Disagreement: A Field Experiment to Investigate Human–Algorithm Collaboration in Loan Evaluations," Management Science, INFORMS, vol. 72(1), pages 96-118, January.
  115. Klaus Wertenbroch & Rom Y. Schrift & Joseph W. Alba & Alixandra Barasch & Amit Bhattacharjee & Markus Giesler & Joshua Knobe & Donald R. Lehmann & Sandra Matz & Gideon Nave & Jeffrey R. Parker & Stefa, 2020. "Autonomy in consumer choice," Marketing Letters, Springer, vol. 31(4), pages 429-439, December.
  116. Gómez de Ágreda, Ángel, 2020. "Ethics of autonomous weapons systems and its applicability to any AI systems," Telecommunications Policy, Elsevier, vol. 44(6).
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