Watch Me Improve—Algorithm Aversion and Demonstrating the Ability to Learn
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DOI: 10.1007/s12599-020-00678-5
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- Chiara Longoni & Andrea Bonezzi & Carey K Morewedge, 2019. "Resistance to Medical Artificial Intelligence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 46(4), pages 629-650.
- Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
- Sniezek, Janet A. & Buckley, Timothy, 1995. "Cueing and Cognitive Conflict in Judge-Advisor Decision Making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 62(2), pages 159-174, May.
- Benlian, Alexander & Klumpe, Johannes & Hinz, Oliver, 2020. "Mitigating the Intrusive Effects of Smart Home Assistants by using Anthropomorphic Design Features: A Multi-Method Investigation," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 112151, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
- Ebadi Jalal, Mona & Hosseini, Monireh & Karlsson, Stefan, 2016. "Forecasting incoming call volumes in call centers with recurrent Neural Networks," Journal of Business Research, Elsevier, vol. 69(11), pages 4811-4814.
- Joseph K. Goodman & Gabriele Paolacci, 2017. "Crowdsourcing Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(1), pages 196-210.
- Berkeley J. Dietvorst & Joseph P. Simmons & Cade Massey, 2018. "Overcoming Algorithm Aversion: People Will Use Imperfect Algorithms If They Can (Even Slightly) Modify Them," Management Science, INFORMS, vol. 64(3), pages 1155-1170, March.
- L'industria, 2021. "Call for Papers," L'industria, Società editrice il Mulino, issue 1, pages 175-189.
- Gefen, David & Straub, Detmar W., 2004. "Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services," Omega, Elsevier, vol. 32(6), pages 407-424, December.
- Jane M. Mackay & Joyce J. Elam, 1992. "A Comparative Study of How Experts and Novices Use a Decision Aid to Solve Problems in Complex Knowledge Domains," Information Systems Research, INFORMS, vol. 3(2), pages 150-172, June.
- Dan J. Kim & Donald L. Ferrin & H. Raghav Rao, 2009. "Trust and Satisfaction, Two Stepping Stones for Successful E-Commerce Relationships: A Longitudinal Exploration," Information Systems Research, INFORMS, vol. 20(2), pages 237-257, June.
- Andrew Prahl & Lyn Van Swol, 2017. "Understanding algorithm aversion: When is advice from automation discounted?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(6), pages 691-702, September.
- Jan Brocke & Wolfgang Maaß & Peter Buxmann & Alexander Maedche & Jan Marco Leimeister & Günter Pecht, 2018. "Future Work and Enterprise Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(4), pages 357-366, August.
- Gefen, David, 2000. "E-commerce: the role of familiarity and trust," Omega, Elsevier, vol. 28(6), pages 725-737, December.
- Peter Buxmann & Thomas Hess & Jason Thatcher, 2019. "Call for Papers, Issue 1/2021," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 545-547, August.
- Highhouse, Scott, 2008. "Stubborn Reliance on Intuition and Subjectivity in Employee Selection," Industrial and Organizational Psychology, Cambridge University Press, vol. 1(3), pages 333-342, September.
- Logg, Jennifer M. & Minson, Julia A. & Moore, Don A., 2019. "Algorithm appreciation: People prefer algorithmic to human judgment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 151(C), pages 90-103.
- L'industria, 2021. "Call for papers," L'industria, Società editrice il Mulino, issue 4, pages 771-786.
- Soll, Jack B. & Mannes, Albert E., 2011. "Judgmental aggregation strategies depend on whether the self is involved," International Journal of Forecasting, Elsevier, vol. 27(1), pages 81-102, January.
- Maryam Alavi & George M. Marakas & Youngjin Yoo, 2002. "A Comparative Study of Distributed Learning Environments on Learning Outcomes," Information Systems Research, INFORMS, vol. 13(4), pages 404-415, December.
- Alexander Maedche & Christine Legner & Alexander Benlian & Benedikt Berger & Henner Gimpel & Thomas Hess & Oliver Hinz & Stefan Morana & Matthias Söllner, 2019.
"AI-Based Digital Assistants,"
Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 535-544, August.
- Maedche, Alexander & Legner, Christine & Benlian, Alexander & Berger, Benedikt & Gimpel, Henner & Hess, Thomas & Hinz, Oliver & Morana, Stefan & Söllner, Matthias, 2019. "AI-Based Digital Assistants," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 115530, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
- Soll, Jack B. & Mannes, Albert E., 2011. "Judgmental aggregation strategies depend on whether the self is involved," International Journal of Forecasting, Elsevier, vol. 27(1), pages 81-102.
- Flynn, Leisa Reinecke & Goldsmith, Ronald E., 1999. "A Short, Reliable Measure of Subjective Knowledge," Journal of Business Research, Elsevier, vol. 46(1), pages 57-66, September.
- L'industria, 2021. "Call for Papers," L'industria, Società editrice il Mulino, issue 2, pages 377-391.
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- 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).
- 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).
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- 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).
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- Gorny, Paul M. & Groos, Eva & Strobel, Christina, 2024. "Do Personalized AI Predictions Change Subsequent Decision-Outcomes? The Impact of Human Oversight," MPRA Paper 121065, University Library of Munich, Germany.
- 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).
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Keywords
Algorithm aversion; Artificial intelligence; Machine learning; Decision support; Advice taking;All these keywords.
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