Algorithm aversion? On the influence of advice accuracy on trust in algorithmic advice

References

• Armstrong, J.S. (1980). The Seer-Sucker Theory: The value of experts in forecasting. Technology Review, 82(7), 16–24.
   Google Scholar
• Bhattacherjee, & Premkumar. (2004). Understanding changes in belief and attitude toward information technology usage: A theoretical model and longitudinal test. MIS Quarterly, 28(2), 229–254. https://doi.org/10.2307/25148634
   Web of Science ®Google Scholar
• Bigman, Y.E., & Gray, K. (2018). People are averse to machines making moral decisions. Cognition, 181(181), 21–34. https://doi.org/10.1016/j.cognition.2018.08.003
   PubMedGoogle Scholar
• Bonaccio, S., & Dalal, R.S. (2006). Advice taking and decision-making: An integrative literature review, and implications for the organizational sciences. Organizational Behavior and Human Decision Processes, 101(2), 127–151. https://doi.org/10.1016/j.obhdp.2006.07.001
   Web of Science ®Google Scholar
• Byström, K., & Järvelin, K. (1995). Task complexity affects information seeking and use. Information Processing & Management, 31(2), 191–213. https://doi.org/10.1016/0306-4573(95)80035-R
   Web of Science ®Google Scholar
• Castelo, N., Bos, M.W., & Lehman, D.R. (2019). Task-Dependent algorithm aversion. Journal of Marketing Research, 56(5), 809–825. https://doi.org/10.1177/0022243719851788
   Web of Science ®Google Scholar
• Dawes, R.M., & Corrigan, B. (1974). Linear models in decision making. Psychological Bulletin, 81(2), 95–106. https://doi.org/10.1037/h0037613
   Web of Science ®Google Scholar
• Deutsch, M. (1958). Trust and suspicion. Journal of Conflict Resolution, 2(4), 265–279. https://doi.org/10.1177/002200275800200401
   Google Scholar
• Dietvorst, B.J., & Bharti, S. (2020). People reject algorithms in uncertain decision domains because they have diminishing sensitivity to forecasting error. Psychological Science, 31(10), 1302–1314. https://doi.org/10.1177/0956797620948841
   PubMed Web of Science ®Google Scholar
• Dietvorst, B.J., Simmons, J.P., & Massey, C. (2015). Algorithm aversion: People erroneously avoid algorithms after seeing them err. Journal of Experimental Psychology: General, 144(1), 114–126. https://doi.org/10.1037/xge0000033
   PubMed Web of Science ®Google Scholar
• Dietvorst, B.J., Simmons, J.P., & Massey, C. (2018). Overcoming algorithm aversion: People will use imperfect algorithms if they can (even slightly) modify them. Management Science, 64(3), 1155–1170. https://doi.org/10.1287/mnsc.2016.2643
   Web of Science ®Google Scholar
• Dijkstra, J.J. (1999). User agreement with incorrect expert system advice. Behavior & Information Technology, 18(6), 399–411. https://doi.org/10.1080/014492999118832
   Web of Science ®Google Scholar
• Dzindolet, M.T., Peterson, S.A., Pomranky, R.A., Pierce, L.G., & Beck, H.P. (2003). The role of trust in automation reliance. International Journal of Human-computer Studies, 58(6), 697–718. https://doi.org/10.1016/S1071-5819(03)00038-7
   Web of Science ®Google Scholar
• Dzindolet, M.T., Pierce, L.G., Beck, H.P., & Dawe, L.A. (2002). The perceived utility of human and automated aids in a visual detection task. Human Factors: The Journal of the Human Factors and Ergonomics Society, 44(1), 79–94. https://doi.org/10.1518/0018720024494856
   PubMed Web of Science ®Google Scholar
• Einhorn, H.J. (1986). Accepting error to make less error. Journal of Personality Assessment, 50(3), 387–395. https://doi.org/10.1207/s15327752jpa5003_8
   PubMed Web of Science ®Google Scholar
• Fildes, R., Goodwin, P., Lawrence, M., & Nikolopoulos, K. (2009). Effective forecasting and judgmental adjustments: An empirical evaluation and strategies for improvement in supply-chain planning. International Journal of Forecasting, 25(1), 3–23. https://doi.org/10.1016/j.ijforecast.2008.11.010
   Web of Science ®Google Scholar
• Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research. Philosophy and Rhetoric, 10(2), 177–188.
   Web of Science ®Google Scholar
• Gefen, & Straub. (2003). Managing user trust in B2C e-Services. e-Service, 2(2), 7–24. https://doi.org/10.2979/esj.2003.2.2.7
   Google Scholar
• Goodyear, K., Parasuraman, R., Chernyak, S., Madhavan, P., Deshpande, G., & Krueger, F. (2016). Advice taking from humans and machines: An fMRI and Effective Connectivity Study. Frontiers in Human Neuroscience, 10(10), 542. https://doi.org/10.3389/fnhum.2016.00542
   PubMedGoogle Scholar
• Highhouse, S. (2008). Stubborn Reliance on Intuition and Subjectivity in Employee Selection. Industrial and Organizational Psychology, 1(3), 333–342. https://doi.org/10.1111/j.1754-9434.2008.00058.x
   Web of Science ®Google Scholar
• Hoff, K.A., & Bashir, M. (2015). Trust in automation: Integrating empirical evidence on factors that influence trust. Human Factors: The Journal of the Human Factors and Ergonomics Society, 57(3), 407–434. https://doi.org/10.1177/0018720814547570
   PubMed Web of Science ®Google Scholar
• Jian, J.-Y., Bisantz, A.M., Drury, C.G., & Llinas, J. (2000). Foundations for an empirically determined scale of trust in automated systems. International Journal of Cognitive Ergonomics, 4(1), 53–71. https://doi.org/10.1207/S15327566IJCE0401_04
   Google Scholar
• Jussupow, E., Benbasat, I., & Heinzl, A. (2020). Why are we averse towards algorithms? A comprehensive literature review on algorithm aversion. Proceedings of the 28th European Conference on Information Systems (ECIS), June 15-17, 2020, An Online AIS Conference (pp. 168). https://aisel.aisnet.org/ecis2020_rp/168
   Google Scholar
• Komiak, S.Y.X., & Benbasat, I. (2006). The effects of personalization and familiarity on trust and adoption of recommendation agents. MIS Quarterly, 30(4), 941–960. https://doi.org/10.2307/25148760
   Web of Science ®Google Scholar
• Komiak, S., Wang, W., & Benbasat, I. (2005). Comparing customer trust in virtual salespersons with customer trust in human salespersons. Proceedings of the 38th Annual Hawaii International Conference on System Sciences, 6 Jan, 2005, Big Island, HI, USA (pp. 175a–175a). IEEE. https://doi.org/10.1109/HICSS.2005.154
   Google Scholar
• Kramer, R.M. (2010). 7 Trust barriers in cross-cultural negotiations: Psychological analysis. In M. N. K. Saunders, D. Skinner, G. Dietz, N. Gillespie, & R. J. Lewicki (Eds.), Organizational trust: A cultural perspective (pp. 182). Cambridge University Press.
   Google Scholar
• Lankton, N., McKnight, D.H., & Thatcher, J.B. (2014). Incorporating trust-in-technology into Expectation Disconfirmation Theory. The Journal of Strategic Information Systems, 23(2), 128–145. https://doi.org/10.1016/j.jsis.2013.09.001
   Web of Science ®Google Scholar
• Lee, M.K.O., & Turban, E. (2001). A trust model for consumer internet shopping. International Journal of Electronic Commerce, 6(1), 75–91. https://doi.org/10.1080/10864415.2001.11044227
   Web of Science ®Google Scholar
• Lewicki, R.J., & Bunker, B.B. (1995). Trust in relationships: A model of development and decline. Jossey-Bass/Wiley.
   Google Scholar
• Lewicki, R.J., Tomlinson, E.C., & Gillespie, N. (2006). Models of interpersonal trust development: Theoretical approaches, empirical evidence, and future directions. Journal of Management, 32(6), 991–1022. https://doi.org/10.1177/0149206306294405
   Web of Science ®Google Scholar
• Li, X., Hess, T.J., & Valacich, J.S. (2008). Why do we trust new technology? A study of initial trust formation with organizational information systems. The Journal of Strategic Information Systems, 17(1), 39–71. https://doi.org/10.1016/j.jsis.2008.01.001
   Web of Science ®Google Scholar
• Logg, J.M., Minson, J.A., & Moore, D.A. (2019). Algorithm appreciation: People prefer algorithmic to human judgment. Organizational Behavior and Human Decision Processes, 151(151), 90–103. https://doi.org/10.1016/j.obhdp.2018.12.005
   Google Scholar
• Longoni, C., Bonezzi, A., & Morewedge, C.K. (2019). Resistance to Medical Artificial Intelligence. Journal of Consumer Research, 46(4), 629–650. https://doi.org/10.1093/jcr/ucz013
   Web of Science ®Google Scholar
• Madhavan, P., & Wiegmann, D.A. (2007). Effects of information source, pedigree, and reliability on operator interaction with decision support systems. Human Factors: The Journal of the Human Factors and Ergonomics Society, 49(5), 773–785. https://doi.org/10.1518/001872007X230154
   PubMed Web of Science ®Google Scholar
• Madsen, M., & Gregor, S. (2000). Measuring human-computer trust. 11th australasian conference on information systems, Brisbane, Australia (pp. 6–8).
   Google Scholar
• Mayer, R.C., Davis, J.H., & Schoorman, F.D. (1995). An integrative model of organizational trust. Academy of Management Review, 20(3), 709–734. https://doi.org/10.2307/258792
   Web of Science ®Google Scholar
• McKnight, D.H., & Chervany, N.L. (2001). Trust and distrust definitions: One bite at a time. Trust in Cyber-societies (pp. 27–54). Berlin, Heidelberg: Springer.
   Google Scholar
• McKnight, D.H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-Commerce: An integrative typology. Information Systems Research, 13(3), 334–359. https://doi.org/10.1287/isre.13.3.334.81
   Web of Science ®Google Scholar
• McKnight, D.H., Cummings, L.L., & Chervany, N.L. (1998). Initial Trust Formation in New Organizational Relationships. Academy of Management Review, 23(3), 473–490. https://doi.org/10.5465/amr.1998.926622
   Web of Science ®Google Scholar
• Meehl, P.E. (1954). Clinical versus statistical forecast: A theoretical analysis and a review of the evidence. Minneapolis, MN: University ofMinnesota Press.
   Google Scholar
• Obermaier R and Müller F. (2008). Management accounting research in the lab – method and applications. Z Plan, 19(3), 325–351. https://doi.org/10.1007/s00187-008-0056-1
   Google Scholar
• Önkal, D., Goodwin, P., Thomson, M., Gönül, S., & Pollock, A. (2009). The relative influence of advice from human experts and statistical methods on forecast adjustments. Journal of Behavioral Decision Making, 22(4), 390–409. https://doi.org/10.1002/bdm.637
   Web of Science ®Google Scholar
• Ord, K., Fildes, R.A., & Kourentzes, N. (2017). Principles of business forecasting. New York, NY: Wessex Press.
   Google Scholar
• Pavlou, P.A., & Gefen, D. (2004). Building effective online marketplaces with institution-based trust. Information Systems Research, 15(1), 37–59. https://doi.org/10.1287/isre.1040.0015
   Web of Science ®Google Scholar
• Prahl, A., & Van Swol, L.M. (2017). Understanding algorithm aversion: When is advice from automation discounted? Journal of Forecasting, 36(6), 691–702. https://doi.org/10.1002/for.2464
   Web of Science ®Google Scholar
• Renier, L.A., Schmid Mast, M., & Bekbergenova, A. (2021). To err is human, not algorithmic – Robust reactions to erring algorithms. Computers in Human Behavior, 124(124), 106879. https://doi.org/10.1016/j.chb.2021.106879
   Google Scholar
• Ring, P.S. (1996). Fragile and resilient trust and their roles in economic exchange. Business & Society, 35(2), 148–175. https://doi.org/10.1177/000765039603500202
   Google Scholar
• Rousseau, D.M., Sitkin, S.B., Burt, R.S., & Camerer, C. (1998). Not so different after all: A cross-discipline view of trust. Academy of Management Review, 23(3), 393–404. https://doi.org/10.5465/amr.1998.926617
   Web of Science ®Google Scholar
• Schmidt, P., Biessmann, F., & Teubner, T. (2020). Transparency and trust in artificial intelligence systems. Journal of Decision Systems, 29(4), 260–278. https://doi.org/10.1080/12460125.2020.1819094
   Web of Science ®Google Scholar
• Siau, K., & Wang, W. (2018). Building trust in artificial intelligence, machine learning, and robotics. Cutter Business Technology Journal, 31(2), 47–53.
   Google Scholar
• Soll, J.B., & Larrick, R.P. (2009). Strategies for revising judgment: How (and how well) people use others’ opinions. Journal of Experimental Psychology. Learning, Memory, and Cognition, 35(3), 780–805. https://doi.org/10.1037/a0015145
   PubMed Web of Science ®Google Scholar
• Xie, H., David, A., Mamun, M.R.A., Prybutok, V.R., & Sidorova, A. (2022). The formation of initial trust by potential passengers of self-driving taxis. Journal of Decision Systems, 1–30. https://doi.org/10.1080/12460125.2021.2023258
   Web of Science ®Google Scholar
• Yu, K., Berkovsky, S., Taib, R., Zhou, J., & Chen, F. (2019). Do I trust my machine teammate? An investigation from perception to decision. Proceedings of the 24th International Conference on Intelligent User Interfaces, March 2019, Marina del Rey, California (pp. 460–468). New York, NY: Association for Computing Machinery. https://doi.org/10.1145/3301275.3302277
   Google Scholar