The risk of algorithm transparency: How algorithm complexity drives the effects on the use of advice
Although algorithmic decision support is omnipresent in many managerial tasks, a lack of algorithm transparency is often stated as a barrier to successful human–machine collaboration. In this paper, we analyze the effects of algorithm transparency on the use of advice from algorithms with different...
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| Vydáno v: | Production and operations management Ročník 31; číslo 9; s. 3419 - 3434 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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Hoboken, NJ
Wiley
01.09.2022
SAGE Publications Blackwell Publishers Inc |
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| ISSN: | 1937-5956, 1059-1478, 1937-5956 |
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| Abstract | Although algorithmic decision support is omnipresent in many managerial tasks, a lack of algorithm transparency is often stated as a barrier to successful human–machine collaboration. In this paper, we analyze the effects of algorithm transparency on the use of advice from algorithms with different degrees of complexity. We conduct a set of laboratory experiments in which participants receive identical advice from algorithms with different levels of transparency and complexity. Our results indicate that not the algorithm itself, but the individually perceived appropriateness of algorithmic complexity moderates the effects of transparency on the use of advice. We summarize this effect as a plateau curve: While perceiving an algorithm as too simple severely harms the use of its advice, the perception of an algorithm as being too complex has no significant effect. Our insights suggest that managers do not have to be concerned about revealing algorithms that are perceived to be appropriately complex or too complex to decision‐makers, even if the decision‐makers do not fully comprehend them. However, providing transparency on algorithms that are perceived to be simpler than appropriate could disappoint people's expectations and thereby reduce the use of their advice. |
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| AbstractList | Although algorithmic decision support is omnipresent in many managerial tasks, a lack of algorithm transparency is often stated as a barrier to successful human–machine collaboration. In this paper, we analyze the effects of algorithm transparency on the use of advice from algorithms with different degrees of complexity. We conduct a set of laboratory experiments in which participants receive identical advice from algorithms with different levels of transparency and complexity. Our results indicate that not the algorithm itself, but the individually perceived appropriateness of algorithmic complexity moderates the effects of transparency on the use of advice. We summarize this effect as a plateau curve: While perceiving an algorithm as too simple severely harms the use of its advice, the perception of an algorithm as being too complex has no significant effect. Our insights suggest that managers do not have to be concerned about revealing algorithms that are perceived to be appropriately complex or too complex to decision‐makers, even if the decision‐makers do not fully comprehend them. However, providing transparency on algorithms that are perceived to be simpler than appropriate could disappoint people's expectations and thereby reduce the use of their advice. Although algorithmic decision support is omnipresent in many managerial tasks, a lack of algorithm transparency is often stated as a barrier to successful human–machine collaboration. In this paper, we analyze the effects of algorithm transparency on the use of advice from algorithms with different degrees of complexity. We conduct a set of laboratory experiments in which participants receive identical advice from algorithms with different levels of transparency and complexity. Our results indicate that not the algorithm itself, but the individually perceived appropriateness of algorithmic complexity moderates the effects of transparency on the use of advice. We summarize this effect as a plateau curve: While perceiving an algorithm as too simple severely harms the use of its advice, the perception of an algorithm as being too complex has no significant effect. Our insights suggest that managers do not have to be concerned about revealing algorithms that are perceived to be appropriately complex or too complex to decision‐makers, even if the decision‐makers do not fully comprehend them. However, providing transparency on algorithms that are perceived to be simpler than appropriate could disappoint people's expectations and thereby reduce the use of their advice. |
| Author | Lehmann, Cedric A. Fügener, Andreas Haubitz, Christiane B. Thonemann, Ulrich W. |
| Author_xml | – sequence: 1 givenname: Cedric A surname: Lehmann fullname: Lehmann, Cedric A – sequence: 2 givenname: Christiane B surname: Haubitz fullname: Haubitz, Christiane B – sequence: 3 givenname: Andreas surname: Fügener fullname: Fügener, Andreas – sequence: 4 givenname: Ulrich W surname: Thonemann fullname: Thonemann, Ulrich W |
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| Cites_doi | 10.5465/annals.2018.0057 10.1016/j.ijforecast.2012.08.001 10.1002/bdm.2155 10.1002/for.2464 10.1287/inte.1070.0309 10.1002/sim.1545 10.1145/3301275.3302277 10.1016/0169-2070(95)00644-3 10.1111/rssa.12576 10.1177/0018720810376055 10.25300/MISQ/2021/16553 10.1016/j.ejor.2022.03.017 10.2139/ssrn.3964332 10.1038/nature14539 10.1037/xge0000033 10.1016/j.ijforecast.2006.03.002 10.1016/j.obhdp.2006.07.001 10.1002/bdm.468 10.1134/S0965542508090042 10.1016/S1071-5819(03)00038-7 10.1016/j.ijforecast.2006.03.007 10.1016/S0169-2070(98)00073-9 10.1016/j.ijforecast.2008.11.010 10.1145/2858036.2858402 10.1145/506443.506619 10.1287/opre.5.2.266 10.1177/0022243719851788 10.1287/mnsc.2021.3987 10.1016/j.jesp.2020.103979 10.1016/j.ijforecast.2017.12.006 10.1145/3301275.3302289 10.1016/j.obhdp.2018.12.005 10.1006/obhd.1997.2697 10.1111/j.0963-7214.2004.00278.x 10.1146/annurev-psych-120709-145346 10.1002/bdm.539 10.1145/3375627.3375821 10.1002/(SICI)1099-0771(199903)12:1<37::AID-BDM319>3.0.CO;2-8 10.2753/MIS0742-1222230410 10.1057/jors.2010.87 10.1287/mnsc.1110.1382 10.1016/0169-2070(95)00634-6 10.1016/j.ejor.2018.10.028 10.1016/j.jbef.2015.12.001 10.1016/j.ejor.2020.01.028 10.1002/isaf.1422 10.1109/MC.2018.2890190 10.1007/s11257-008-9051-3 10.1016/j.omega.2018.07.012 10.1037/a0015145 10.1016/j.obhdp.2008.03.001 10.1016/j.obhdp.2003.08.002 |
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| Keywords | use of advice decision‐making decision support algorithm complexity algorithm transparency |
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| References | Fügener, Grahl, Gupta, Ketter 2021; 45 Bertino, Merrill, Nesen, Utz 2019; 52 Ache, Rader, Hütter 2020; 89 Fildes, Petropoulos 2015; 36 Gigerenzer, Gaissmaier 2011; 62 Lawrence, Goodwin, O'Connor, Önkal 2006; 22 Arvan, Fahimnia, Reisi, Siemsen 2019; 86 Harvey, Fischer 1997; 70 Diubin, Korbut 2008; 48 Fischer, Harvey 1999; 15 Logg, Minson, Moore 2019; 151 Prahl, Van Swol 2017; 36 Dietvorst, Simmons, Massey 2015; 144 Goodwin, Fildes 1999; 12 LeCun, Bengio, Hinton 2015; 521 Preece 2018; 25 Yaniv 2004; 13 Franses, Legerstee 2011; 62 Muggeo 2003; 22 Dantzig 1957; 5 Yaniv 2004; 93 Davies 1987; 74 Burton, Stein, Jensen 2020; 33 Chen, Schonger, Wickens 2016; 9 Fildes, Goodwin, Önkal 2019; 35 Perera, Hurley, Fahimnia, Reisi 2019; 274 Gino, Moore 2007; 20 Jung, Concannon, Shroff, Goel, Goldstein 2020; 183 Fildes 2006; 22 Cramer, Evers, Ramlal, Van Someren, Rutledge, Stash, Aroyo, Wielinga 2008; 18 Fildes, Goodwin 2007; 37 Ustun, Rudin 2019; 20 Holm 1979; 6 Fildes, Goodwin, Lawrence, Nikolopoulos 2009; 25 Bonaccio, Dalal 2006; 101 Kremer, Moritz, Siemsen 2011; 57 Soll, Palley, Rader 2021; 68 Castelo, Bos, Lehmann 2019; 56 Harvey, Bolger 1996; 12 Soll, Larrick 2009; 35 Goodwin, Gönül, Önkal 2013; 29 Wang, Benbasat 2007; 23 De Baets, Harvey 2020; 284 Sniezek, Schrah, Dalal 2004; 17 Dzindolet, Peterson, Pomranky, Pierce, Beck 2003; 58 Glikson, Woolley 2020; 14 Gino 2008; 107 Parasuraman, Manzey 2010; 52 Webby, O'Connor 1996; 12 2013; 29 2021; 68 2004b; 93 2015; 36 1987; 74 2020; 284 2019; 52 2015; 144 2019; 56 2011; 62 2003; 58 2008; 107 2020; 14 2011; 57 2007; 37 2019; 20 2017; 36 2006; 22 1999; 15 1979; 6 1999; 12 2020; 89 2007; 20 2019; 151 2007; 23 2019; 274 2009; 25 2021; 45 2015; 521 2008; 18 2019; 35 2020; 183 2020; 33 2002 1957; 5 1996; 12 2018; 25 2009; 35 1997; 70 2019; 86 2022 2004a; 13 2021 2020 2004; 17 2019 2008; 48 2018 2016 2014 2006; 101 2010; 52 2016; 9 2003; 22 e_1_3_4_3_1 e_1_3_4_61_1 e_1_3_4_9_1 e_1_3_4_42_1 e_1_3_4_40_1 e_1_3_4_5_1 e_1_3_4_23_1 e_1_3_4_46_1 e_1_3_4_21_1 e_1_3_4_44_1 e_1_3_4_27_1 e_1_3_4_25_1 e_1_3_4_48_1 Davies R. B. (e_1_3_4_14_1) 1987; 74 Fildes R. (e_1_3_4_24_1) 2015; 36 e_1_3_4_29_1 Brynjolfsson E. (e_1_3_4_7_1) 2014 e_1_3_4_53_1 e_1_3_4_30_1 e_1_3_4_51_1 e_1_3_4_13_1 e_1_3_4_34_1 e_1_3_4_59_1 e_1_3_4_55_1 Ustun B. (e_1_3_4_57_1) 2019; 20 e_1_3_4_11_1 e_1_3_4_32_1 e_1_3_4_17_1 e_1_3_4_38_1 e_1_3_4_15_1 e_1_3_4_36_1 e_1_3_4_19_1 e_1_3_4_4_1 e_1_3_4_2_1 e_1_3_4_62_1 e_1_3_4_8_1 e_1_3_4_20_1 e_1_3_4_41_1 e_1_3_4_6_1 e_1_3_4_60_1 e_1_3_4_45_1 e_1_3_4_22_1 e_1_3_4_43_1 e_1_3_4_28_1 e_1_3_4_49_1 e_1_3_4_26_1 e_1_3_4_47_1 Holm S. (e_1_3_4_35_1) 1979; 6 e_1_3_4_31_1 e_1_3_4_52_1 e_1_3_4_50_1 e_1_3_4_12_1 e_1_3_4_58_1 e_1_3_4_10_1 e_1_3_4_33_1 e_1_3_4_54_1 e_1_3_4_16_1 e_1_3_4_39_1 e_1_3_4_37_1 e_1_3_4_56_1 e_1_3_4_18_1 |
| References_xml | – volume: 274 start-page: 574 issue: 2 year: 2019 end-page: 600 article-title: The human factor in supply chain forecasting: A systematic review publication-title: European Journal of Operational Research – volume: 37 start-page: 570 issue: 6 year: 2007 end-page: 576 article-title: Against your better judgment? How organizations can improve their use of management judgment in forecasting publication-title: Interfaces – volume: 17 start-page: 173 issue: 3 year: 2004 end-page: 190 article-title: Improving judgement with prepaid expert advice publication-title: Journal of Behavioral Decision Making – volume: 15 start-page: 227 issue: 3 year: 1999 end-page: 246 article-title: Combining forecasts: What information do judges need to outperform the simple average? publication-title: International Journal of Forecasting – volume: 151 start-page: 90 year: 2019 end-page: 103 article-title: Algorithm appreciation: People prefer algorithmic to human judgment publication-title: Organizational Behavior and Human Decision Processes – volume: 35 start-page: 144 issue: 1 year: 2019 end-page: 156 article-title: Use and misuse of information in supply chain forecasting of promotion effects publication-title: International Journal of Forecasting – volume: 62 start-page: 537 issue: 3 year: 2011 end-page: 543 article-title: Experts' adjustment to model‐based SKU‐level forecasts: Does the forecast horizon matter? publication-title: Journal of the Operational Research Society – volume: 36 start-page: 691 issue: 6 year: 2017 end-page: 702 article-title: Understanding algorithm aversion: When is advice from automation discounted? publication-title: Journal of Forecasting – volume: 48 start-page: 1521 issue: 9 year: 2008 end-page: 1535 article-title: Average behavior of greedy algorithms for the minimization knapsack problem: General coefficient distributions publication-title: Computational Mathematics and Mathematical Physics – volume: 33 start-page: 220 issue: 2 year: 2020 end-page: 239 article-title: A systematic review of algorithm aversion in augmented decision‐making publication-title: Journal of Behavioral Decision Making – volume: 20 start-page: 1 year: 2019 end-page: 75 article-title: Learning optimized risk scores publication-title: Journal of Machine Learning Research – volume: 62 start-page: 451 issue: 1 year: 2011 end-page: 482 article-title: Heuristic decision making publication-title: Annual Review of Psychology – volume: 12 start-page: 119 issue: 1 year: 1996 end-page: 137 article-title: Graphs versus tables: Effects of data presentation format on judgemental forecasting publication-title: International Journal of Forecasting – volume: 20 start-page: 21 issue: 1 year: 2007 end-page: 35 article-title: Effects of task difficulty on use of advice publication-title: Journal of Behavioral Decision Making – volume: 36 start-page: 5 year: 2015 end-page: 12 article-title: Improving forecast quality in practice publication-title: Foresight: The International Journal of Applied Forecasting – volume: 183 start-page: 771 issue: 3 year: 2020 end-page: 800 article-title: Simple rules to guide expert classifications publication-title: Journal of the Royal Statistical Society: Series A (Statistics in Society) – volume: 6 start-page: 65 issue: 2 year: 1979 end-page: 70 article-title: A simple sequentially rejective multiple test procedure publication-title: Scandinavian Journal of Statistics – volume: 89 year: 2020 article-title: Advisors want their advice to be used ‐ but not too much: An interpersonal perspective on advice taking publication-title: Journal of Experimental Social Psychology – volume: 22 start-page: 3055 issue: 19 year: 2003 end-page: 3071 article-title: Estimating regression models with unknown break‐points publication-title: Statistics in Medicine – volume: 56 start-page: 809 issue: 5 year: 2019 end-page: 825 article-title: Task‐dependent algorithm aversion publication-title: Journal of Marketing Research – volume: 107 start-page: 234 issue: 2 year: 2008 end-page: 245 article-title: Do we listen to advice just because we paid for it? The impact of advice cost on its use publication-title: Organizational Behavior and Human Decision Processes – volume: 52 start-page: 16 issue: 1 year: 2019 end-page: 26 article-title: Redefining data transparency: A multidimensional approach publication-title: Computer – volume: 23 start-page: 217 issue: 4 year: 2007 end-page: 246 article-title: Recommendation agents for electronic commerce: Effects of explanation facilities on trusting beliefs publication-title: Journal of Management Information Systems – volume: 35 start-page: 780 issue: 3 year: 2009 end-page: 805 article-title: Strategies for revising judgment: How (and how well) people use others' opinions publication-title: Journal of Experimental Psychology: Learning, Memory and, Cognition – volume: 45 start-page: 1527 issue: 3 year: 2021 end-page: 1556 article-title: Will humans‐in‐the‐loop become borgs? Merits and pitfalls of working with AI publication-title: Management Information Systems Quarterly – volume: 86 start-page: 237 year: 2019 end-page: 252 article-title: Integrating human judgement into quantitative forecasting methods: A review publication-title: Omega – volume: 25 start-page: 3 issue: 1 year: 2009 end-page: 23 article-title: Effective forecasting and judgmental adjustments: An empirical evaluation and strategies for improvement in supply‐chain planning publication-title: International Journal of Forecasting – volume: 22 start-page: 415 issue: 3 year: 2006 end-page: 432 article-title: The forecasting journals and their contribution to forecasting research: Citation analysis and expert opinion publication-title: International Journal of Forecasting – volume: 101 start-page: 127 issue: 2 year: 2006 end-page: 151 article-title: Advice taking and decision‐making: An integrative literature review, and implications for the organizational sciences publication-title: Organizational Behavior and Human Decision Processes – volume: 5 start-page: 266 issue: 2 year: 1957 end-page: 277 article-title: Discrete‐variable extremum problems publication-title: Operations Research – volume: 68 start-page: 2949 issue: 4 year: 2021 end-page: 2969 article-title: The bad thing about good advice: Understanding when and how advice exacerbates overconfidence publication-title: Management Science – volume: 13 start-page: 75 issue: 2 year: 2004 end-page: 78 article-title: The benefit of additional opinions publication-title: Current Directions in Psychological Science – volume: 18 start-page: 455 issue: 5 year: 2008 end-page: 496 article-title: The effects of transparency on trust in and acceptance of a content‐based art recommender publication-title: User Modeling and User‐Adapted Interaction – volume: 70 start-page: 117 issue: 2 year: 1997 end-page: 133 article-title: Taking advice: Accepting help, improving judgment, and sharing responsibility publication-title: Organizational Behavior and Human Decision Processes – volume: 9 start-page: 88 year: 2016 end-page: 97 article-title: otree—An open‐source platform for laboratory, online, and field experiments publication-title: Journal of Behavioral and Experimental Finance – volume: 57 start-page: 1827 issue: 10 year: 2011 end-page: 1843 article-title: Demand forecasting behavior: System neglect and change detection publication-title: Management Science – volume: 144 start-page: 114 issue: 1 year: 2015 end-page: 126 article-title: Algorithm aversion: People erroneously avoid algorithms after seeing them err publication-title: Journal of Experimental Psychology: General – volume: 14 start-page: 627 issue: 2 year: 2020 end-page: 660 article-title: Human trust in artificial intelligence: Review of empirical research publication-title: Academy of Management Annals – volume: 12 start-page: 37 issue: 1 year: 1999 end-page: 53 article-title: Judgmental forecasts of time series affected by special events: Does providing a statistical forecast improve accuracy? publication-title: Journal of Behavioral Decision Making – volume: 22 start-page: 493 issue: 3 year: 2006 end-page: 518 article-title: Judgmental forecasting: A review of progress over the last 25 years publication-title: International Journal of Forecasting – volume: 25 start-page: 63 issue: 2 year: 2018 end-page: 72 article-title: Asking ‘why’ in AI: Explainability of intelligent systems ‐ perspectives and challenges publication-title: Intelligent Systems in Accounting, Finance and Management – volume: 74 start-page: 33 issue: 1 year: 1987 end-page: 43 article-title: Hypothesis testing when a nuisance parameter is present only under the alternative publication-title: Biometrika – volume: 52 start-page: 381 issue: 3 year: 2010 end-page: 410 article-title: Complacency and bias in human use of automation: An attentional integration publication-title: Human Factors – volume: 12 start-page: 91 issue: 1 year: 1996 end-page: 118 article-title: Judgemental and statistical time series forecasting: A review of the literature publication-title: International Journal of Forecasting – volume: 58 start-page: 697 issue: 6 year: 2003 end-page: 718 article-title: The role of trust in automation reliance publication-title: International Journal of Human‐Computer Studies – volume: 284 start-page: 882 issue: 3 year: 2020 end-page: 895 article-title: Using judgment to select and adjust forecasts from statistical models publication-title: European Journal of Operational Research – volume: 93 start-page: 1 issue: 1 year: 2004 end-page: 13 article-title: Receiving other people's advice: Influence and benefit publication-title: Organizational Behavior and Human Decision Processes – volume: 521 start-page: 436 year: 2015 end-page: 444 article-title: Deep learning publication-title: Nature – volume: 29 start-page: 354 issue: 2 year: 2013 end-page: 366 article-title: Antecedents and effects of trust in forecasting advice publication-title: International Journal of Forecasting – start-page: 460 year: 2019 end-page: 468 article-title: Do I trust my machine teammate? an investigation from perception to decision – start-page: 258 year: 2019 end-page: 262 article-title: The effects of example‐based explanations in a machine learning interface – volume: 22 start-page: 415 issue: 3 year: 2006 end-page: 432 article-title: The forecasting journals and their contribution to forecasting research: Citation analysis and expert opinion publication-title: International Journal of Forecasting – year: 2021 article-title: Will we trust what we don't understand? Impact of model interpretability and outcome feedback on trust in AI – volume: 25 start-page: 3 issue: 1 year: 2009 end-page: 23 article-title: Effective forecasting and judgmental adjustments: An empirical evaluation and strategies for improvement in supply‐chain planning publication-title: International Journal of Forecasting – volume: 13 start-page: 75 issue: 2 year: 2004a end-page: 78 article-title: The benefit of additional opinions publication-title: Current Directions in Psychological Science – volume: 144 start-page: 114 issue: 1 year: 2015 end-page: 126 article-title: Algorithm aversion: People erroneously avoid algorithms after seeing them err publication-title: Journal of Experimental Psychology: General – volume: 57 start-page: 1827 issue: 10 year: 2011 end-page: 1843 article-title: Demand forecasting behavior: System neglect and change detection publication-title: Management Science – volume: 52 start-page: 381 issue: 3 year: 2010 end-page: 410 article-title: Complacency and bias in human use of automation: An attentional integration publication-title: Human Factors – volume: 20 start-page: 21 issue: 1 year: 2007 end-page: 35 article-title: Effects of task difficulty on use of advice publication-title: Journal of Behavioral Decision Making – volume: 23 start-page: 217 issue: 4 year: 2007 end-page: 246 article-title: Recommendation agents for electronic commerce: Effects of explanation facilities on trusting beliefs publication-title: Journal of Management Information Systems – volume: 35 start-page: 780 issue: 3 year: 2009 end-page: 805 article-title: Strategies for revising judgment: How (and how well) people use others' opinions publication-title: Journal of Experimental Psychology: Learning, Memory and, Cognition – volume: 18 start-page: 455 issue: 5 year: 2008 end-page: 496 article-title: The effects of transparency on trust in and acceptance of a content‐based art recommender publication-title: User Modeling and User‐Adapted Interaction – volume: 62 start-page: 451 issue: 1 year: 2011 end-page: 482 article-title: Heuristic decision making publication-title: Annual Review of Psychology – volume: 52 start-page: 16 issue: 1 year: 2019 end-page: 26 article-title: Redefining data transparency: A multidimensional approach publication-title: Computer – year: 2014 – volume: 9 start-page: 88 year: 2016 end-page: 97 article-title: otree—An open‐source platform for laboratory, online, and field experiments publication-title: Journal of Behavioral and Experimental Finance – volume: 25 start-page: 63 issue: 2 year: 2018 end-page: 72 article-title: Asking ‘why’ in AI: Explainability of intelligent systems ‐ perspectives and challenges publication-title: Intelligent Systems in Accounting, Finance and Management – volume: 22 start-page: 3055 issue: 19 year: 2003 end-page: 3071 article-title: Estimating regression models with unknown break‐points publication-title: Statistics in Medicine – volume: 183 start-page: 771 issue: 3 year: 2020 end-page: 800 article-title: Simple rules to guide expert classifications publication-title: Journal of the Royal Statistical Society: Series A (Statistics in Society) – volume: 56 start-page: 809 issue: 5 year: 2019 end-page: 825 article-title: Task‐dependent algorithm aversion publication-title: Journal of Marketing Research – start-page: 2390 year: 2016 end-page: 2395 article-title: How much information? Effects of transparency on trust in an algorithmic interface – volume: 58 start-page: 697 issue: 6 year: 2003 end-page: 718 article-title: The role of trust in automation reliance publication-title: International Journal of Human‐Computer Studies – volume: 14 start-page: 627 issue: 2 year: 2020 end-page: 660 article-title: Human trust in artificial intelligence: Review of empirical research publication-title: Academy of Management Annals – volume: 12 start-page: 91 issue: 1 year: 1996 end-page: 118 article-title: Judgemental and statistical time series forecasting: A review of the literature publication-title: International Journal of Forecasting – start-page: 1 year: 2020 end-page: 9 article-title: Keep it mystic? ‐ The effects of algorithm transparency on the use of advice – volume: 62 start-page: 537 issue: 3 year: 2011 end-page: 543 article-title: Experts' adjustment to model‐based SKU‐level forecasts: Does the forecast horizon matter? publication-title: Journal of the Operational Research Society – volume: 36 start-page: 5 year: 2015 end-page: 12 article-title: Improving forecast quality in practice publication-title: Foresight: The International Journal of Applied Forecasting – volume: 22 start-page: 493 issue: 3 year: 2006 end-page: 518 article-title: Judgmental forecasting: A review of progress over the last 25 years publication-title: International Journal of Forecasting – volume: 93 start-page: 1 issue: 1 year: 2004b end-page: 13 article-title: Receiving other people's advice: Influence and benefit publication-title: Organizational Behavior and Human Decision Processes – volume: 101 start-page: 127 issue: 2 year: 2006 end-page: 151 article-title: Advice taking and decision‐making: An integrative literature review, and implications for the organizational sciences publication-title: Organizational Behavior and Human Decision Processes – volume: 12 start-page: 37 issue: 1 year: 1999 end-page: 53 article-title: Judgmental forecasts of time series affected by special events: Does providing a statistical forecast improve accuracy? publication-title: Journal of Behavioral Decision Making – year: 2022 article-title: Evaluating human behaviour in response to ai recommendations for judgemental forecasting – volume: 68 start-page: 2949 issue: 4 year: 2021 end-page: 2969 article-title: The bad thing about good advice: Understanding when and how advice exacerbates overconfidence publication-title: Management Science – volume: 86 start-page: 237 year: 2019 end-page: 252 article-title: Integrating human judgement into quantitative forecasting methods: A review publication-title: Omega – volume: 107 start-page: 234 issue: 2 year: 2008 end-page: 245 article-title: Do we listen to advice just because we paid for it? The impact of advice cost on its use publication-title: Organizational Behavior and Human Decision Processes – start-page: 1 year: 2019 end-page: 5 article-title: Making transparency clear – volume: 36 start-page: 691 issue: 6 year: 2017 end-page: 702 article-title: Understanding algorithm aversion: When is advice from automation discounted? publication-title: Journal of Forecasting – volume: 48 start-page: 1521 issue: 9 year: 2008 end-page: 1535 article-title: Average behavior of greedy algorithms for the minimization knapsack problem: General coefficient distributions publication-title: Computational Mathematics and Mathematical Physics – volume: 35 start-page: 144 issue: 1 year: 2019 end-page: 156 article-title: Use and misuse of information in supply chain forecasting of promotion effects publication-title: International Journal of Forecasting – year: 2020 article-title: Good explanation for algorithmic transparency – volume: 74 start-page: 33 issue: 1 year: 1987 end-page: 43 article-title: Hypothesis testing when a nuisance parameter is present only under the alternative publication-title: Biometrika – volume: 17 start-page: 173 issue: 3 year: 2004 end-page: 190 article-title: Improving judgement with prepaid expert advice publication-title: Journal of Behavioral Decision Making – volume: 521 start-page: 436 year: 2015 end-page: 444 article-title: Deep learning publication-title: Nature – volume: 70 start-page: 117 issue: 2 year: 1997 end-page: 133 article-title: Taking advice: Accepting help, improving judgment, and sharing responsibility publication-title: Organizational Behavior and Human Decision Processes – volume: 151 start-page: 90 year: 2019 end-page: 103 article-title: Algorithm appreciation: People prefer algorithmic to human judgment publication-title: Organizational Behavior and Human Decision Processes – volume: 45 start-page: 1527 issue: 3 year: 2021 end-page: 1556 article-title: Will humans‐in‐the‐loop become borgs? Merits and pitfalls of working with AI publication-title: Management Information Systems Quarterly – volume: 29 start-page: 354 issue: 2 year: 2013 end-page: 366 article-title: Antecedents and effects of trust in forecasting advice publication-title: International Journal of Forecasting – volume: 37 start-page: 570 issue: 6 year: 2007 end-page: 576 article-title: Against your better judgment? How organizations can improve their use of management judgment in forecasting publication-title: Interfaces – volume: 20 start-page: 1 year: 2019 end-page: 75 article-title: Learning optimized risk scores publication-title: Journal of Machine Learning Research – volume: 15 start-page: 227 issue: 3 year: 1999 end-page: 246 article-title: Combining forecasts: What information do judges need to outperform the simple average? publication-title: International Journal of Forecasting – volume: 12 start-page: 119 issue: 1 year: 1996 end-page: 137 article-title: Graphs versus tables: Effects of data presentation format on judgemental forecasting publication-title: International Journal of Forecasting – volume: 33 start-page: 220 issue: 2 year: 2020 end-page: 239 article-title: A systematic review of algorithm aversion in augmented decision‐making publication-title: Journal of Behavioral Decision Making – volume: 274 start-page: 574 issue: 2 year: 2019 end-page: 600 article-title: The human factor in supply chain forecasting: A systematic review publication-title: European Journal of Operational Research – volume: 5 start-page: 266 issue: 2 year: 1957 end-page: 277 article-title: Discrete‐variable extremum problems publication-title: Operations Research – volume: 25 start-page: 7 year: 2018 article-title: Detecting bias: Does an algorithm have to be transparent in order to be fair? – volume: 6 start-page: 65 issue: 2 year: 1979 end-page: 70 article-title: A simple sequentially rejective multiple test procedure publication-title: Scandinavian Journal of Statistics – volume: 89 year: 2020 article-title: Advisors want their advice to be used ‐ but not too much: An interpersonal perspective on advice taking publication-title: Journal of Experimental Social Psychology – volume: 284 start-page: 882 issue: 3 year: 2020 end-page: 895 article-title: Using judgment to select and adjust forecasts from statistical models publication-title: European Journal of Operational Research – start-page: 455 year: 2018 end-page: 459 article-title: What are you hiding? algorithmic transparency and user perceptions – start-page: 830 year: 2002 end-page: 831 article-title: The role of transparency in recommender systems – ident: e_1_3_4_30_1 doi: 10.5465/annals.2018.0057 – volume: 6 start-page: 65 issue: 2 year: 1979 ident: e_1_3_4_35_1 article-title: A simple sequentially rejective multiple test procedure publication-title: Scandinavian Journal of Statistics – ident: e_1_3_4_32_1 doi: 10.1016/j.ijforecast.2012.08.001 – ident: e_1_3_4_8_1 doi: 10.1002/bdm.2155 – ident: e_1_3_4_48_1 doi: 10.1002/for.2464 – ident: e_1_3_4_21_1 doi: 10.1287/inte.1070.0309 – ident: e_1_3_4_45_1 doi: 10.1002/sim.1545 – ident: e_1_3_4_62_1 doi: 10.1145/3301275.3302277 – ident: e_1_3_4_59_1 doi: 10.1016/0169-2070(95)00644-3 – ident: e_1_3_4_36_1 doi: 10.1111/rssa.12576 – volume: 74 start-page: 33 issue: 1 year: 1987 ident: e_1_3_4_14_1 article-title: Hypothesis testing when a nuisance parameter is present only under the alternative publication-title: Biometrika – ident: e_1_3_4_46_1 doi: 10.1177/0018720810376055 – ident: e_1_3_4_19_1 doi: 10.25300/MISQ/2021/16553 – ident: e_1_3_4_37_1 doi: 10.1016/j.ejor.2022.03.017 – ident: e_1_3_4_42_1 – ident: e_1_3_4_3_1 doi: 10.2139/ssrn.3964332 – ident: e_1_3_4_41_1 doi: 10.1038/nature14539 – ident: e_1_3_4_56_1 – ident: e_1_3_4_16_1 doi: 10.1037/xge0000033 – ident: e_1_3_4_20_1 doi: 10.1016/j.ijforecast.2006.03.002 – ident: e_1_3_4_6_1 doi: 10.1016/j.obhdp.2006.07.001 – ident: e_1_3_4_52_1 doi: 10.1002/bdm.468 – ident: e_1_3_4_17_1 doi: 10.1134/S0965542508090042 – ident: e_1_3_4_18_1 doi: 10.1016/S1071-5819(03)00038-7 – ident: e_1_3_4_40_1 doi: 10.1016/j.ijforecast.2006.03.007 – ident: e_1_3_4_25_1 doi: 10.1016/S0169-2070(98)00073-9 – volume-title: The second machine age: Work, progress, and prosperity in a time of brilliant technologies year: 2014 ident: e_1_3_4_7_1 – ident: e_1_3_4_22_1 doi: 10.1016/j.ijforecast.2008.11.010 – ident: e_1_3_4_38_1 doi: 10.1145/2858036.2858402 – ident: e_1_3_4_55_1 – volume: 20 start-page: 1 year: 2019 ident: e_1_3_4_57_1 article-title: Learning optimized risk scores publication-title: Journal of Machine Learning Research – ident: e_1_3_4_51_1 doi: 10.1145/506443.506619 – ident: e_1_3_4_13_1 doi: 10.1287/opre.5.2.266 – ident: e_1_3_4_50_1 – ident: e_1_3_4_10_1 doi: 10.1177/0022243719851788 – ident: e_1_3_4_54_1 doi: 10.1287/mnsc.2021.3987 – ident: e_1_3_4_2_1 doi: 10.1016/j.jesp.2020.103979 – ident: e_1_3_4_23_1 doi: 10.1016/j.ijforecast.2017.12.006 – volume: 36 start-page: 5 year: 2015 ident: e_1_3_4_24_1 article-title: Improving forecast quality in practice publication-title: Foresight: The International Journal of Applied Forecasting – ident: e_1_3_4_9_1 doi: 10.1145/3301275.3302289 – ident: e_1_3_4_43_1 doi: 10.1016/j.obhdp.2018.12.005 – ident: e_1_3_4_34_1 doi: 10.1006/obhd.1997.2697 – ident: e_1_3_4_60_1 doi: 10.1111/j.0963-7214.2004.00278.x – ident: e_1_3_4_27_1 doi: 10.1146/annurev-psych-120709-145346 – ident: e_1_3_4_29_1 doi: 10.1002/bdm.539 – ident: e_1_3_4_44_1 doi: 10.1145/3375627.3375821 – ident: e_1_3_4_31_1 doi: 10.1002/(SICI)1099-0771(199903)12:1<37::AID-BDM319>3.0.CO;2-8 – ident: e_1_3_4_58_1 doi: 10.2753/MIS0742-1222230410 – ident: e_1_3_4_26_1 doi: 10.1057/jors.2010.87 – ident: e_1_3_4_39_1 doi: 10.1287/mnsc.1110.1382 – ident: e_1_3_4_33_1 doi: 10.1016/0169-2070(95)00634-6 – ident: e_1_3_4_47_1 doi: 10.1016/j.ejor.2018.10.028 – ident: e_1_3_4_11_1 doi: 10.1016/j.jbef.2015.12.001 – ident: e_1_3_4_15_1 doi: 10.1016/j.ejor.2020.01.028 – ident: e_1_3_4_49_1 doi: 10.1002/isaf.1422 – ident: e_1_3_4_5_1 doi: 10.1109/MC.2018.2890190 – ident: e_1_3_4_12_1 doi: 10.1007/s11257-008-9051-3 – ident: e_1_3_4_4_1 doi: 10.1016/j.omega.2018.07.012 – ident: e_1_3_4_53_1 doi: 10.1037/a0015145 – ident: e_1_3_4_28_1 doi: 10.1016/j.obhdp.2008.03.001 – ident: e_1_3_4_61_1 doi: 10.1016/j.obhdp.2003.08.002 |
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| Title | The risk of algorithm transparency: How algorithm complexity drives the effects on the use of advice |
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