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Jean-François Bonnefon
(Jean-Francois Bonnefon)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Bonnefon, Jean-François & De Neys, Wim & Hopfensitz, Astrid, 2012. "The Modular Nature of Trustworthiness Detection," TSE Working Papers 12-311, Toulouse School of Economics (TSE).

    Mentioned in:

    1. Detecting trustworthiness
      by Nicholas Gruen in Club Troppo on 2012-06-27 06:37:30

Working papers

  1. Jean-François Bonnefon & Iyad Rahwan & Azim Shariff, 2024. "The Moral Psychology of Artificial Intelligence," Post-Print hal-04220044, HAL.

    Cited by:

    1. Köbis, Nils & Rahwan, Zoe & Bersch, Clara & Ajaj, Tamer & Bonnefon, Jean-François & Rahwan, Iyad, 2024. "Experimental evidence that delegating to intelligent machines can increase dishonest behaviour," OSF Preprints dnjgz, Center for Open Science.
    2. Zhen Wang & Ruiqi Song & Chen Shen & Shiya Yin & Zhao Song & Balaraju Battu & Lei Shi & Danyang Jia & Talal Rahwan & Shuyue Hu, 2024. "Large Language Models Overcome the Machine Penalty When Acting Fairly but Not When Acting Selfishly or Altruistically," Papers 2410.03724, arXiv.org, revised Oct 2024.

  2. Jean-François Bonnefon & Augustin Landier & Parinitha R. Sastry & David Thesmar, 2022. "The Moral Preferences of Investors: Experimental Evidence," NBER Working Papers 29647, National Bureau of Economic Research, Inc.

    Cited by:

    1. Benuzzi, Matteo & Klaser, Klaudijo & Bax, Karoline, 2024. "Which ESG+F dimension matters most to retail investors? An experimental study on financial decisions and future generations," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
    2. Michele Fioretti & Victor Saint-Jean & Simon C Smith, 2022. "The Voice: The Shareholders' Motives Behind Corporate Donations during COVID-19 (former title: Selfish Shareholders: Corporate Donations during COVID-19)," Working Papers hal-03386585, HAL.
    3. Rüdiger Fahlenbrach & Eric Jondeau, 2021. "Greening the Swiss National Bank's Portfolio," Swiss Finance Institute Research Paper Series 21-59, Swiss Finance Institute.
    4. Florian Heeb & Julian F Kölbel & Falko Paetzold & Stefan Zeisberger, 2023. "Do Investors Care about Impact?," The Review of Financial Studies, Society for Financial Studies, vol. 36(5), pages 1737-1787.
    5. Michele Fioretti & Victor Saint-Jean & Simon C. Smith, 2024. "NGO Activism: Exposure vs. Influence," Papers 2411.06875, arXiv.org, revised Nov 2024.
    6. Kim, Daniel & Pouget, Sébastien, 2023. "Do carbon emissions affect the cost of capital? Primary versus secondary corporate bond markets," TSE Working Papers 23-1472, Toulouse School of Economics (TSE).
    7. Kräussl, Roman & Oladiran, Tobi & Stefanova, Denitsa, 2023. "A review on ESG investing: Investors' expectations, beliefs and perceptions," CFS Working Paper Series 694, Center for Financial Studies (CFS).
    8. Wenya Sun & Yichen Luo & Siu-Ming Yiu & Luping Yu & Wenzhi Ding, 2024. "ESG scores, scandal probability, and event returns," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-21, December.
    9. Sébastien Duchêne & Adrien Nguyen-Huu & Dimitri Dubois & Marc Willinger, 2022. "Risk-return trade-offs in the context of environmental impact: a lab-in-the-field experiment with finance professionals," CEE-M Working Papers hal-03883121, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    10. Torsten Ehlers & Ulrike Elsenhuber & Anandakumar Jegarasasingam & Eric Jondeau, 2024. "Deconstructing ESG scores: investing at the category score level," Journal of Asset Management, Palgrave Macmillan, vol. 25(3), pages 222-244, May.
    11. Luz, Valentin & Schauer, Victor & Viehweger, Martin, 2024. "Beyond preferences: Beliefs in sustainable investing," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 584-607.

  3. Azim Shariff & Jean-François Bonnefon & Iyad Rahwan, 2021. "How safe is safe enough? Psychological mechanisms underlying extreme safety demands for self-driving cars," Post-Print hal-03236635, HAL.

    Cited by:

    1. Xing, Yingying & Zhou, Huiyu & Han, Xiao & Zhang, Meng & Lu, Jian, 2022. "What influences vulnerable road users’ perceptions of autonomous vehicles? A comparative analysis of the 2017 and 2019 Pittsburgh surveys," Technological Forecasting and Social Change, Elsevier, vol. 176(C).

  4. Jean-François Bonnefon, 2021. "The car that knew too much: can a machine be moral?," Post-Print hal-03473139, HAL.

    Cited by:

    1. Ahi, Alan A. & Sinkovics, Noemi & Shildibekov, Yelnur & Sinkovics, Rudolf R. & Mehandjiev, Nikolay, 2022. "Advanced technologies and international business: A multidisciplinary analysis of the literature," International Business Review, Elsevier, vol. 31(4).
    2. Zhai, Siming & Gao, Shan & Wang, Lin & Liu, Peng, 2023. "When both human and machine drivers make mistakes: Whom to blame?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    3. Jack Stilgoe & Miloš Mladenović, 2022. "The politics of autonomous vehicles," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-6, December.

  5. Philip Clarke & Laurence Roope & Peter Loewen & Jean-François Bonnefon & Alessia Melegaro & Jorge Friedman & Mara Violato & Adrian Barnett & Raymond Duch, 2021. "Public opinion on global rollout of COVID-19 vaccines," Post-Print hal-03261784, HAL.

    Cited by:

    1. Barceló, Joan & Sheen, Greg Chih-Hsin & Tung, Hans H. & Wu, Wen-Chin, 2022. "Vaccine nationalism among the public: A cross-country experimental evidence of own-country bias towards COVID-19 vaccination," Social Science & Medicine, Elsevier, vol. 310(C).
    2. Simon Munzert & Sebastian Ramirez-Ruiz & Başak Çalı & Lukas F. Stoetzer & Anita Gohdes & Will Lowe, 2022. "Prioritization preferences for COVID-19 vaccination are consistent across five countries," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.
    3. Candio, Paolo & Violato, Mara & Clarke, Philip M & Duch, Raymond & Roope, Laurence SJ, 2023. "Prevalence, predictors and reasons for COVID-19 vaccine hesitancy: Results of a global online survey," Health Policy, Elsevier, vol. 137(C).

  6. Raymond Duch & Laurence Roope & Mara Violato & Mf Becerra & T. Robinson & Jean-François Bonnefon & Jorge Friedman & Peter Loewen & P. Mamidi & Alessia Melegaro & M. Blanco & J. Vargas & J. Seither & P, 2021. "Citizens from 13 countries share similar preferences for COVID-19 vaccine allocation priorities," Post-Print hal-03347042, HAL.

    Cited by:

    1. Barceló, Joan & Sheen, Greg Chih-Hsin & Tung, Hans H. & Wu, Wen-Chin, 2022. "Vaccine nationalism among the public: A cross-country experimental evidence of own-country bias towards COVID-19 vaccination," Social Science & Medicine, Elsevier, vol. 310(C).
    2. Luyten, Jeroen & Beutels, Philippe & Vandermeulen, Corinne & Kessels, Roselinde, 2022. "Social preferences for adopting new vaccines in the national immunization program: A discrete choice experiment," Social Science & Medicine, Elsevier, vol. 303(C).
    3. Candio, Paolo & Violato, Mara & Clarke, Philip M & Duch, Raymond & Roope, Laurence SJ, 2023. "Prevalence, predictors and reasons for COVID-19 vaccine hesitancy: Results of a global online survey," Health Policy, Elsevier, vol. 137(C).

  7. Nils Köbis & Jean-François Bonnefon & Iyad Rahwan, 2021. "Bad machines corrupt good morals," Post-Print hal-03292360, HAL.

    Cited by:

    1. Werner, Tobias, 2021. "Algorithmic and human collusion," DICE Discussion Papers 372, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    2. 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).
    3. Leib, Margarita & Köbis, Nils & Rilke, Rainer Michael & Hagens, Marloes & Irlenbusch, Bernd, 2023. "Corrupted by Algorithms? How AI-Generated and Human-Written Advice Shape (Dis)Honesty," IZA Discussion Papers 16293, Institute of Labor Economics (IZA).
    4. Lukas Lanz & Roman Briker & Fabiola H. Gerpott, 2024. "Employees Adhere More to Unethical Instructions from Human Than AI Supervisors: Complementing Experimental Evidence with Machine Learning," Journal of Business Ethics, Springer, vol. 189(3), pages 625-646, January.
    5. Köbis, Nils & Rahwan, Zoe & Bersch, Clara & Ajaj, Tamer & Bonnefon, Jean-François & Rahwan, Iyad, 2024. "Experimental evidence that delegating to intelligent machines can increase dishonest behaviour," OSF Preprints dnjgz, Center for Open Science.
    6. Elias Fernández Domingos & Inês Terrucha & Rémi Suchon & Jelena Grujić & Juan Burguillo & Francisco Santos & Tom Lenaerts, 2022. "Delegation to artificial agents fosters prosocial behaviors in the collective risk dilemma," Post-Print hal-04296038, HAL.
    7. von Schenk, Alicia & Klockmann, Victor & Bonnefon, Jean-François & Rahwan, Iyad & Köbis, Nils, 2023. "Lie-detection algorithms attract few users but vastly increase accusation rates," TSE Working Papers 23-1448, Toulouse School of Economics (TSE).
    8. Alicia von Schenk & Victor Klockmann & Jean-Franc{c}ois Bonnefon & Iyad Rahwan & Nils Kobis, 2022. "Lie detection algorithms attract few users but vastly increase accusation rates," Papers 2212.04277, arXiv.org.
    9. Emilio Ferrara, 2024. "GenAI against humanity: nefarious applications of generative artificial intelligence and large language models," Journal of Computational Social Science, Springer, vol. 7(1), pages 549-569, April.
    10. Lechardoy, Lucie & López Forés, Laura & Codagnone, Cristiano, 2023. "Artificial intelligence at the workplace and the impacts on work organisation, working conditions and ethics," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 277997, International Telecommunications Society (ITS).

  8. Jean-François Bonnefon & Augustin Landier & Parinitha Sastry & David Thesmar, 2020. "Do Investors Care About Corporate Externalities? Experimental Evidence," Working Papers hal-02896496, HAL.

    Cited by:

    1. Zingales, Luigi & Broccardo, Eleonora & Hart, Oliver, 2020. "Exit vs. Voice," CEPR Discussion Papers 15176, C.E.P.R. Discussion Papers.
      • Eleonora Broccardo & Oliver D. Hart & Luigi Zingales, 2020. "Exit vs. Voice," NBER Working Papers 27710, National Bureau of Economic Research, Inc.
      • Eleonora Broccardo & Oliver D. Hart & Luigi Zingales, 2020. "Exit vs. Voice," Working Papers 2020-114, Becker Friedman Institute for Research In Economics.

  9. Jean-François Bonnefon & Azim Shariff & Iyad Rahwan, 2019. "The Trolley, the Bull Bar, and Why Engineers Should Care About the Ethics of Autonomous Cars," Post-Print hal-04121686, HAL.

    Cited by:

    1. Zhang, Qiyuan & Wallbridge, Christopher D. & Jones, Dylan M. & Morgan, Phillip L., 2024. "Public perception of autonomous vehicle capability determines judgment of blame and trust in road traffic accidents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    2. Poszler, Franziska & Geisslinger, Maximilian & Betz, Johannes & Lütge, Christoph, 2023. "Applying ethical theories to the decision-making of self-driving vehicles: A systematic review and integration of the literature," Technology in Society, Elsevier, vol. 75(C).
    3. Feess, Eberhard & Muehlheusser, Gerd, 2024. "Autonomous Vehicles: Moral dilemmas and adoption incentives," Transportation Research Part B: Methodological, Elsevier, vol. 181(C).

  10. Iyad Rahwan & Manuel Cebrian & Nick Obradovich & Josh Bongard & Jean-François Bonnefon & Cynthia Breazeal & Jacob W. Crandall & Nicholas Christakis & Iain Couzin & Matthew O. Jackson & Nicholas Jennin, 2019. "Machine behaviour," Post-Print hal-04121682, HAL.
    • Iyad Rahwan & Manuel Cebrian & Nick Obradovich & Josh Bongard & Jean-François Bonnefon & Cynthia Breazeal & Jacob W. Crandall & Nicholas A. Christakis & Iain D. Couzin & Matthew O. Jackson & Nicholas , 2019. "Machine behaviour," Nature, Nature, vol. 568(7753), pages 477-486, April.

    Cited by:

    1. March, Christoph, 2021. "Strategic interactions between humans and artificial intelligence: Lessons from experiments with computer players," Journal of Economic Psychology, Elsevier, vol. 87(C).
    2. David Pastor-Escuredo, 2021. "Future of work: ethics," Papers 2104.02580, arXiv.org.
    3. David Pastor-Escuredo & Philip Treleaven, 2021. "Multiscale Governance," Papers 2104.02752, arXiv.org.

  11. Jean-François Bonnefon & Fatimah Ishowo-Oloko & Zakariyah Soroye & Jacob W. Crandall & Iyad Rahwan & Tahal Rahwan, 2019. "Behavioural evidence for a transparency-efficiency tradeoff in human-machine cooperation," Post-Print hal-04121730, HAL.

    Cited by:

    1. Kinga Makovi & Anahit Sargsyan & Wendi Li & Jean-François Bonnefon & Talal Rahwan, 2023. "Trust within human-machine collectives depends on the perceived consensus about cooperative norms," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    2. Fabian Dvorak & Regina Stumpf & Sebastian Fehrler & Urs Fischbacher, 2024. "Generative AI Triggers Welfare-Reducing Decisions in Humans," Papers 2401.12773, arXiv.org.
    3. Schönmann, Manuela & Bodenschatz, Anja & Uhl, Matthias & Walkowitz, Gari, 2024. "Contagious humans: A pandemic's positive effect on attitudes towards care robots," Technology in Society, Elsevier, vol. 76(C).
    4. Rosa-García, Alfonso, 2024. "Student Reactions to AI-Replicant Professor in an Econ101 Teaching Video," MPRA Paper 120135, University Library of Munich, Germany.
    5. Maggioni, Mario A. & Rossignoli, Domenico, 2023. "If it looks like a human and speaks like a human ... Communication and cooperation in strategic Human–Robot interactions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 104(C).

  12. Jacob Crandall & Mayada Oudah & Fatimah Ishowo-Oloko Tennom & Fatimah Ishowo-Oloko & Sherief Abdallah & Jean-François Bonnefon & Manuel Cebrian & Azim Shariff & Michael Goodrich & Iyad Rahwan, 2018. "Cooperating with machines," Post-Print hal-01897802, HAL.
    • Jacob W. Crandall & Mayada Oudah & Tennom & Fatimah Ishowo-Oloko & Sherief Abdallah & Jean-François Bonnefon & Manuel Cebrian & Azim Shariff & Michael A. Goodrich & Iyad Rahwan, 2018. "Cooperating with machines," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    • Abdallah, Sherief & Bonnefon, Jean-François & Cebrian, Manuel & Crandall, Jacob W. & Ishowo-Oloko, Fatimah & Oudah, Mayada & Rahwan, Iyad & Shariff, Azim & Tennom,, 2017. "Cooperating with Machines," IAST Working Papers 17-68, Institute for Advanced Study in Toulouse (IAST).
    • Abdallah, Sherief & Bonnefon, Jean-François & Cebrian, Manuel & Crandall, Jacob W. & Ishowo-Oloko, Fatimah & Oudah, Mayada & Rahwan, Iyad & Shariff, Azim & Tennom,, 2017. "Cooperating with Machines," TSE Working Papers 17-806, Toulouse School of Economics (TSE).

    Cited by:

    1. Federico Cugurullo & Federico Caprotti & Matthew Cook & Andrew Karvonen & Pauline MᶜGuirk & Simon Marvin, 2024. "The rise of AI urbanism in post-smart cities: A critical commentary on urban artificial intelligence," Urban Studies, Urban Studies Journal Limited, vol. 61(6), pages 1168-1182, May.
    2. Juntao Fan & Jin Wu & Weijing Kong & Yizhang Zhang & Mengdi Li & Yuan Zhang & Wei Meng & And Mengheng Zhang, 2017. "Predicting Bio-indicators of Aquatic Ecosystems Using the Support Vector Machine Model in the Taizi River, China," Sustainability, MDPI, vol. 9(6), pages 1-11, May.
    3. Nils Köbis & Jean-François Bonnefon & Iyad Rahwan, 2021. "Bad machines corrupt good morals," Nature Human Behaviour, Nature, vol. 5(6), pages 679-685, June.
    4. Liu, Weimiao & Deng, Tianhu & Li, Jianbin, 2019. "Product packing and stacking under uncertainty: A robust approach," European Journal of Operational Research, Elsevier, vol. 277(3), pages 903-917.
    5. Bourreau, Marc & Cambini, Carlo & Hoernig, Steffen & Vogelsang, Ingo, 2021. "Co-investment, uncertainty, and opportunism:ex-Ante and ex-Post remedies," Information Economics and Policy, Elsevier, vol. 56(C).
    6. János Kramár & Tom Eccles & Ian Gemp & Andrea Tacchetti & Kevin R. McKee & Mateusz Malinowski & Thore Graepel & Yoram Bachrach, 2022. "Negotiation and honesty in artificial intelligence methods for the board game of Diplomacy," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    7. Hans-Theo Normann & Martin Sternberg, 2021. "Human-Algorithm Interaction: Algorithmic Pricing in Hybrid Laboratory Markets," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2021_11, Max Planck Institute for Research on Collective Goods, revised 13 Apr 2022.
    8. Brice Corgnet, 2023. "An Experimental Test of Algorithmic Dismissals," Working Papers 23-02, Chapman University, Economic Science Institute.
    9. Frédéric Marty & Thierry Warin, 2024. "Deciphering Algorithmic Collusion: Insights from Bandit Algorithms and Implications for Antitrust Enforcement," Post-Print halshs-04745409, HAL.
    10. Joshua Aizenman & Yothin Jinjarak & Huanhuan Zheng, 2015. "Chinese Outwards Mercantilism – the Art and Practice of Bundling," NBER Working Papers 21089, National Bureau of Economic Research, Inc.
    11. Yi Liu & Yutian Liang & Shiping Ma & Kaixuan Huang, 2017. "Divergent Developmental Trajectories and Strategic Coupling in the Pearl River Delta: Where Is a Sustainable Way of Regional Economic Growth?," Sustainability, MDPI, vol. 9(10), pages 1-15, October.
    12. Vangelis Papadimitropoulos, 2018. "Reflections on the Contradictions of the Commons," Review of Radical Political Economics, Union for Radical Political Economics, vol. 50(2), pages 317-331, June.
    13. Walwei, Ulrich & Deller, Jürgen, 2021. "Labor Market Participation of Older Workers in International Comparison," IAB-Discussion Paper 202116, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    14. Gonzalo Ballestero, 2022. "Collusion and Artificial Intelligence: A Computational Experiment with Sequential Pricing Algorithms under Stochastic Costs," Working Papers 118, Red Nacional de Investigadores en Economía (RedNIE).
    15. March, Christoph, 2021. "Strategic interactions between humans and artificial intelligence: Lessons from experiments with computer players," Journal of Economic Psychology, Elsevier, vol. 87(C).
    16. Shen Yuan & Shaobing Peng, 2017. "Exploring the Trends in Nitrogen Input and Nitrogen Use Efficiency for Agricultural Sustainability," Sustainability, MDPI, vol. 9(10), pages 1-15, October.
    17. Emilio Calvano & Giacomo Calzolari & Vincenzo Denicolò & Sergio Pastorello, 2019. "Algorithmic Pricing What Implications for Competition Policy?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 55(1), pages 155-171, August.
    18. Verginer, Luca & Vaccario, Giacomo & Ronzani, Piero, 2023. "The Robotic Herd: Using Human-Bot Interactions to Explore Irrational Herding," SocArXiv ajusq, Center for Open Science.
    19. Mario A. Maggioni & Domenico Rossignoli, 2021. "If it Looks like a Human and Speaks like a Human..," DISEIS - Quaderni del Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo dis2101, Università Cattolica del Sacro Cuore, Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo (DISEIS).
    20. 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).
    21. Mario A. Maggioni & Domenico Rossignoli, 2021. "If it Looks like a Human and Speaks like a Human ... Dialogue and cooperation in human-robot interactions," Papers 2104.11652, arXiv.org, revised May 2021.
    22. Normann, Hans-Theo & Sternberg, Martin, 2022. "Human-algorithm interaction: Algorithmic pricing in hybrid laboratory markets," DICE Discussion Papers 392, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    23. Shichun Xu & Wenwen Zhang & Qinbin Li & Bin Zhao & Shuxiao Wang & Ruyin Long, 2017. "Decomposition Analysis of the Factors that Influence Energy Related Air Pollutant Emission Changes in China Using the SDA Method," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    24. Qiming Wang & Tao Zhang & Xinyue He & Rongfeng Jiang, 2017. "Assessment of Phosphorus Recovery from Swine Wastewater in Beijing, China," Sustainability, MDPI, vol. 9(10), pages 1-14, October.
    25. Gonzalo Ballestero, 2021. "Collusion and Artificial Intelligence: A computational experiment with sequential pricing algorithms under stochastic costs," Young Researchers Working Papers 1, Universidad de San Andres, Departamento de Economia, revised Oct 2022.
    26. Schönmann, Manuela & Bodenschatz, Anja & Uhl, Matthias & Walkowitz, Gari, 2024. "Contagious humans: A pandemic's positive effect on attitudes towards care robots," Technology in Society, Elsevier, vol. 76(C).
    27. Yongle Li & Bangrong Shu & Xiaoping Shi & Yu Zhu, 2017. "Variation of Land-Expropriated Farmers’ Willingness: A Perspective of Employment and Inhabitance," Sustainability, MDPI, vol. 9(7), pages 1-18, June.
    28. Chunfeng Wei & Chuanyu Gao & Dongxue Han & Winston Zhao & Qianxin Lin & Guoping Wang, 2017. "Spatial and Temporal Variations of Water Quality in Songhua River from 2006 to 2015: Implication for Regional Ecological Health and Food Safety," Sustainability, MDPI, vol. 9(9), pages 1-13, August.
    29. Normann, Hans-Theo & Sternberg, Martin, 2023. "Human-algorithm interaction: Algorithmic pricing in hybrid laboratory markets," European Economic Review, Elsevier, vol. 152(C).
    30. Axel Gautier & Ashwin Ittoo & Pieter Cleynenbreugel, 2020. "AI algorithms, price discrimination and collusion: a technological, economic and legal perspective," European Journal of Law and Economics, Springer, vol. 50(3), pages 405-435, December.
    31. Zhiwen Hu & Yiping Cui & Jian Zhang & Jacqueline Eviston-Putsch, 2020. "Shalosh B. Ekhad: a computer credit for mathematicians," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 71-97, January.
    32. Maggioni, Mario A. & Rossignoli, Domenico, 2023. "If it looks like a human and speaks like a human ... Communication and cooperation in strategic Human–Robot interactions," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 104(C).

  13. Astrid Hopfensitz & Wim de Neys & Jean-François Bonnefon, 2017. "Can We Detect Cooperators by Looking at Their Face?," Post-Print halshs-01698391, HAL.

    Cited by:

    1. Adam Zylbersztejn & Zakaria Babutsidze & Nobuyuki Hanaki, 2019. "Preferences for observable information in a strategic setting: An experiment," SciencePo Working papers Main halshs-02420074, HAL.
    2. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2020. "Nonverbal content and swift trust: An experiment on digital communication," Working Papers 2008, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    3. Loukas Balafoutas & Helena Fornwagner & Brit Grosskopf, 2021. "Predictably competitive? What faces can tell us about competitive behavior," Discussion Papers 2107, University of Exeter, Department of Economics.
    4. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2021. "Nonverbal content and trust: An experiment on digital communication," ISER Discussion Paper 1128, Institute of Social and Economic Research, Osaka University.
    5. Lou Safra & Nicolas Baumard & Valentin Wyart & Coralie Chevallier, 2020. "Social motivation is associated with increased weight granted to cooperation-related impressions in face evaluation tasks," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-17, April.
    6. Du, Ninghua & Song, Fei & Cadsby, C. Bram, 2022. "You cannot judge a book by its cover: Evidence from a laboratory experiment on recognizing generosity from facial information," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 100(C).

  14. Sylvie Borau & Jean-François Bonnefon, 2017. "The advertising performance of non-ideal female models as a function of viewers' body mass index: a moderated mediation analysis of two competing affective pathways," Post-Print halshs-01698396, HAL.

    Cited by:

    1. Safaa Adil & Ahmad Mostafa Abdeltawab & Danielle Lecointre-Erickson, 2021. "The Effectiveness of Model’s Body Size in Digital and Print Advertisements," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 13(3), pages 1-1, December.
    2. Plotkina, Daria & Saurel, Hélène, 2019. "Me or just like me? The role of virtual try-on and physical appearance in apparel M-retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 362-377.
    3. Sylvie Borau & Jean-François Bonnefon, 2017. "The Imaginary Intrasexual Competition: Advertisements Featuring Provocative Female Models Trigger Women to Engage in Indirect Aggression," Post-Print halshs-01698409, HAL.

  15. Wim de Neys & Astrid Hopfensitz & Jean-François Bonnefon, 2017. "Split-second trustworthiness detection from faces in an economic game," Post-Print halshs-01698433, HAL.

    Cited by:

    1. Adam Zylbersztejn & Zakaria Babutsidze & Nobuyuki Hanaki, 2019. "Preferences for observable information in a strategic setting: An experiment," SciencePo Working papers Main halshs-02420074, HAL.
    2. Loukas Balafoutas & Helena Fornwagner & Brit Grosskopf, 2021. "Predictably competitive? What faces can tell us about competitive behavior," Discussion Papers 2107, University of Exeter, Department of Economics.
    3. Jaeger, Bastian & Oud, Bastiaan & Williams, Tony & Krumhuber, Eva G. & Fehr, Ernst & Engelmann, Jan B., 2022. "Can people detect the trustworthiness of strangers based on their facial appearance?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 43(4), pages 296-303.
    4. Adam Zylbersztejn & Zaharia Babutsidze & Nobuyuki Hanaki & Astrid Hopfensitz, 2024. "How beautiful people see the world : Cooperativeness judgments of and by beautiful people," Post-Print hal-04357266, HAL.

  16. Sylvie Borau & Jean-François Bonnefon, 2017. "The Imaginary Intrasexual Competition: Advertisements Featuring Provocative Female Models Trigger Women to Engage in Indirect Aggression," Post-Print halshs-01698409, HAL.

    Cited by:

    1. de Kerviler, Gwarlann & Ardelet, Caroline & Slavich, Barbara, 2022. "Ethical judgments of sexualized ads featuring Women: The role of identification with feminine archetypes," Journal of Business Research, Elsevier, vol. 142(C), pages 899-913.
    2. Vassiliki Grougiou & George Balabanis & Danae Manika, 2020. "Does Humour Influence Perceptions of the Ethicality of Female-Disparaging Advertising?," Journal of Business Ethics, Springer, vol. 164(1), pages 1-16, June.

  17. Wim de Neys & Astrid Hopfensitz & Jean-François Bonnefon, 2015. "Adolescents gradually improve at detecting trustworthiness from the facial features of unknown adults," Post-Print halshs-01398651, HAL.

    Cited by:

    1. Adam Zylbersztejn & Zakaria Babutsidze & Nobuyuki Hanaki, 2019. "Preferences for observable information in a strategic setting: An experiment," SciencePo Working papers Main halshs-02420074, HAL.
    2. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2020. "Nonverbal content and swift trust: An experiment on digital communication," Working Papers 2008, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    3. Dilger, Alexander & Müller, Julia & Müller, Michael, 2017. "Is trustworthiness written on the face?," Discussion Papers of the Institute for Organisational Economics 2/2017, University of Münster, Institute for Organisational Economics.
    4. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2021. "Nonverbal content and trust: An experiment on digital communication," ISER Discussion Paper 1128, Institute of Social and Economic Research, Osaka University.
    5. Du, Ninghua & Song, Fei & Cadsby, C. Bram, 2022. "You cannot judge a book by its cover: Evidence from a laboratory experiment on recognizing generosity from facial information," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 100(C).
    6. Non, Arjan, 2018. "Training participation and the role of reciprocal attitudes," ROA Research Memorandum 005, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    7. Adam Zylbersztejn & Zakaria Babutsidze & Nobuyuki Hanaki & Marie-Sophie Roul, 2024. "Anonymity, nonverbal communication and prosociality in digitized interactions: An experiment on charitable giving," Working Papers 2402, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.

  18. Marco Heimann & Etienne Mullet & Jean-François Bonnefon, 2015. "Peoples’ Views About the Acceptability of Executive Bonuses and Compensation Policies," Post-Print halshs-01398420, HAL.

    Cited by:

    1. Joana Margarida Sequeira Neto & Etienne Mullet, 2018. "Perceived Acceptability of Organizational Layoffs and Job Alliances During a Recession: A Mapping of Portuguese People’s Views," Journal of Business Ethics, Springer, vol. 152(4), pages 1149-1157, November.
    2. Egor Evdokimov & Dean Hanlon & Edwin KiaYang Lim, 2022. "Do Generalist CEOs Magnify Boardroom Backscratching?," Journal of Business Ethics, Springer, vol. 181(1), pages 221-247, November.
    3. Jen-Shou Yang & Li-Ching Tsai, 2023. "The moderating effects of trustor characteristics and the cost of being trusted on the relationship between felt trust and OCB intention," Review of Managerial Science, Springer, vol. 17(7), pages 2417-2441, October.

  19. Jean-François Bonnefon & Astrid Hopfensitz & Wim de Neys, 2015. "Face-ism and kernels of truth in facial inferences," Post-Print halshs-01400233, HAL.

    Cited by:

    1. Loukas Balafoutas & Helena Fornwagner & Brit Grosskopf, 2021. "Predictably competitive? What faces can tell us about competitive behavior," Discussion Papers 2107, University of Exeter, Department of Economics.

  20. Bonnefon, Jean-François & De Neys, Wim & Hopfensitz, Astrid, 2013. "Low second-to-fourth digit ratio predicts indiscriminate social suspicion, not improved trustworthiness detection," TSE Working Papers 13-385, Toulouse School of Economics (TSE).

    Cited by:

    1. Brañas-Garza, Pablo & Espín, Antonio M. & Garcia, Teresa & Kovářík, Jaromír, 2018. "Digit ratio (2D:4D) predicts pro-social behavior in economic games only for unsatisfied individuals," MPRA Paper 86166, University Library of Munich, Germany.
    2. Wim de Neys & Astrid Hopfensitz & Jean-François Bonnefon, 2015. "Adolescents gradually improve at detecting trustworthiness from the facial features of unknown adults," Post-Print halshs-01398651, HAL.
    3. Jaeger, Bastian & Oud, Bastiaan & Williams, Tony & Krumhuber, Eva G. & Fehr, Ernst & Engelmann, Jan B., 2022. "Can people detect the trustworthiness of strangers based on their facial appearance?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 43(4), pages 296-303.
    4. Noussair, Charles N. & Offerman, Theo & Suetens, Sigrid & Van de Ven, Jeroen & Van Leeuwen, Boris & Van Veelen, Matthijs, 2014. "Predictably angry: Facial cues provide a credible signal of destructive behavior," IAST Working Papers 14-15, Institute for Advanced Study in Toulouse (IAST).

  21. Bonnefon, Jean-François & De Neys, Wim & Hopfensitz, Astrid, 2012. "The Modular Nature of Trustworthiness Detection," TSE Working Papers 12-311, Toulouse School of Economics (TSE).

    Cited by:

    1. Adam Zylbersztejn & Zakaria Babutsidze & Nobuyuki Hanaki, 2019. "Preferences for observable information in a strategic setting: An experiment," SciencePo Working papers Main halshs-02420074, HAL.
    2. Adam Zylbersztejn & Zakaria Babutsidze & Nobuyuki Hanaki, 2021. "Predicting trustworthiness across cultures: An experiment," Post-Print hal-03432600, HAL.
    3. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2020. "Nonverbal content and swift trust: An experiment on digital communication," Working Papers 2008, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    4. Loukas Balafoutas & Helena Fornwagner & Brit Grosskopf, 2021. "Predictably competitive? What faces can tell us about competitive behavior," Discussion Papers 2107, University of Exeter, Department of Economics.
    5. Wim de Neys & Astrid Hopfensitz & Jean-François Bonnefon, 2015. "Adolescents gradually improve at detecting trustworthiness from the facial features of unknown adults," Post-Print halshs-01398651, HAL.
    6. Zakaria Babutsidze & Nobuyuki Hanaki & Adam Zylbersztejn, 2021. "Nonverbal content and trust: An experiment on digital communication," ISER Discussion Paper 1128, Institute of Social and Economic Research, Osaka University.
    7. Chen, Daniel & Hopfensitz, Astrid & van Leeuwen, Boris & van de Ven, Jeroen, 2019. "The Strategic Display of Emotions," Discussion Paper 2019-014, Tilburg University, Center for Economic Research.
    8. Antonio Cabrales & Antonio M. Espin & Praveen Kujal & Stephen Rassenti, 2021. "Trustors' Disregard for Trustees Deciding Intuitively or Reflectively: Three Experiments on Time Constraints," Working Papers 21-08, Chapman University, Economic Science Institute.
    9. Antonio Cabrales & Antonio M. Espín & Praveen Kujal & Stephen Rassenti, 2017. "Humans’ (incorrect) distrust of reflective decisions," Working Papers 17-05, Chapman University, Economic Science Institute.
    10. Bonnefon, Jean-François & De Neys, Wim & Hopfensitz, Astrid, 2013. "Low second-to-fourth digit ratio predicts indiscriminate social suspicion, not improved trustworthiness detection," TSE Working Papers 13-385, Toulouse School of Economics (TSE).
    11. Rassenti, Stephen & Espin, Antonio M. & Kujal, Praveen, 2017. "Humans’ (incorrect) distrust of reflective decisions," CEPR Discussion Papers 11949, C.E.P.R. Discussion Papers.
    12. Noussair, Charles N. & Offerman, Theo & Suetens, Sigrid & Van de Ven, Jeroen & Van Leeuwen, Boris & Van Veelen, Matthijs, 2014. "Predictably angry: Facial cues provide a credible signal of destructive behavior," IAST Working Papers 14-15, Institute for Advanced Study in Toulouse (IAST).

Articles

  1. Levin Brinkmann & Fabian Baumann & Jean-François Bonnefon & Maxime Derex & Thomas F. Müller & Anne-Marie Nussberger & Agnieszka Czaplicka & Alberto Acerbi & Thomas L. Griffiths & Joseph Henrich & Joel, 2023. "Machine culture," Nature Human Behaviour, Nature, vol. 7(11), pages 1855-1868, November.

    Cited by:

    1. Lorenzo Cominelli & Federico Galatolo & Caterina Giannetti & Cristiano Ciaccio & Felice Dell’Orletta & Philipp Chaposkvi & Giulia Venturi, 2024. "Teaming Up with Artificial Agents in Non-routine Analytical Tasks," Discussion Papers 2024/314, Dipartimento di Economia e Management (DEM), University of Pisa, Pisa, Italy.

  2. Nils Köbis & Jean-François Bonnefon & Iyad Rahwan, 2021. "Bad machines corrupt good morals," Nature Human Behaviour, Nature, vol. 5(6), pages 679-685, June.
    See citations under working paper version above.
  3. Raymond Duch & Laurence S. J. Roope & Mara Violato & Matias Fuentes Becerra & Thomas S. Robinson & Jean-Francois Bonnefon & Jorge Friedman & Peter John Loewen & Pavan Mamidi & Alessia Melegaro & Maria, 2021. "Citizens from 13 countries share similar preferences for COVID-19 vaccine allocation priorities," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 118(38), pages 2026382118-, September.
    See citations under working paper version above.
  4. Edmond Awad & Sydney Levine & Max Kleiman-Weiner & Sohan Dsouza & Joshua B. Tenenbaum & Azim Shariff & Jean-François Bonnefon & Iyad Rahwan, 2020. "Drivers are blamed more than their automated cars when both make mistakes," Nature Human Behaviour, Nature, vol. 4(2), pages 134-143, February.

    Cited by:

    1. Chen, Changdong, 2024. "How consumers respond to service failures caused by algorithmic mistakes: The role of algorithmic interpretability," Journal of Business Research, Elsevier, vol. 176(C).
    2. Zhang, Qiyuan & Wallbridge, Christopher D. & Jones, Dylan M. & Morgan, Phillip L., 2024. "Public perception of autonomous vehicle capability determines judgment of blame and trust in road traffic accidents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    3. Cai, Yunhao & Jing, Peng & Wang, Baihui & Jiang, Chengxi & Wang, Yuan, 2023. "How does “over-hype” lead to public misconceptions about autonomous vehicles? A new insight applying causal inference," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    4. Zhai, Siming & Gao, Shan & Wang, Lin & Liu, Peng, 2023. "When both human and machine drivers make mistakes: Whom to blame?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    5. Mathieu Chevrier & Vincent Teixeira, 2024. "Algorithm Delegation and Responsibility: Shifting Blame to the Programmer?," GREDEG Working Papers 2024-04, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, revised Sep 2024.
    6. Zhao, Taiyang & Ran, Yaxuan & Wu, Banggang & Lynette Wang, Valerie & Zhou, Liying & Lu Wang, Cheng, 2024. "Virtual versus human: Unraveling consumer reactions to service failures through influencer types," Journal of Business Research, Elsevier, vol. 178(C).

  5. Iyad Rahwan & Jacob W. Crandall & Jean-François Bonnefon, 2020. "Intelligent machines as social catalysts," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(14), pages 7555-7557, April.

    Cited by:

    1. Zou, Tengjian & Ertug, Gokhan & Roulet, Thomas, 2024. "Learning from machines: How negative feedback from machines improves learning between humans," Journal of Business Research, Elsevier, vol. 172(C).
    2. Anna Karpova & Aleksei Savelev & Alexander Vilnin & Sergey Kuznetsov, 2022. "Method for Detecting Far-Right Extremist Communities on Social Media," Social Sciences, MDPI, vol. 11(5), pages 1-19, May.
    3. 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).

  6. Edmond Awad & Sohan Dsouza & Richard Kim & Jonathan Schulz & Joseph Henrich & Azim Shariff & Jean-François Bonnefon & Iyad Rahwan, 2020. "Reply to: Life and death decisions of autonomous vehicles," Nature, Nature, vol. 579(7797), pages 3-5, March.

    Cited by:

    1. Krügel, Sebastian & Uhl, Matthias, 2022. "Autonomous vehicles and moral judgments under risk," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 1-10.

  7. Borau, Sylvie & Bonnefon, Jean-François, 2020. "Gendered products act as the extended phenotype of human sexual dimorphism: They increase physical attractiveness and desirability," Journal of Business Research, Elsevier, vol. 120(C), pages 498-508.

    Cited by:

    1. Setten, Eric & Chen, Steven, 2024. "Playing with emotions: Text analysis of emotional tones in gender-casted Children’s media," Journal of Business Research, Elsevier, vol. 175(C).
    2. Otterbring, Tobias & Bhatnagar, Roopali & Samuelsson, Peter & Borau, Sylvie, 2021. "Positive gender congruency effects on shopper responses: Field evidence from a gender egalitarian culture," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).

  8. Iyad Rahwan & Manuel Cebrian & Nick Obradovich & Josh Bongard & Jean-François Bonnefon & Cynthia Breazeal & Jacob W. Crandall & Nicholas A. Christakis & Iain D. Couzin & Matthew O. Jackson & Nicholas , 2019. "Machine behaviour," Nature, Nature, vol. 568(7753), pages 477-486, April.
    • Iyad Rahwan & Manuel Cebrian & Nick Obradovich & Josh Bongard & Jean-François Bonnefon & Cynthia Breazeal & Jacob W. Crandall & Nicholas Christakis & Iain Couzin & Matthew O. Jackson & Nicholas Jennin, 2019. "Machine behaviour," Post-Print hal-04121682, HAL.
    See citations under working paper version above.
  9. Sylvie Borau & Jean-François Bonnefon, 2019. "The Imaginary Intrasexual Competition: Advertisements Featuring Provocative Female Models Trigger Women to Engage in Indirect Aggression," Journal of Business Ethics, Springer, vol. 157(1), pages 45-63, June.
    See citations under working paper version above.
  10. Maxime Derex & Jean-François Bonnefon & Robert Boyd & Alex Mesoudi, 2019. "Causal understanding is not necessary for the improvement of culturally evolving technology," Nature Human Behaviour, Nature, vol. 3(5), pages 446-452, May.

    Cited by:

    1. Catherine Molho & Jorge Peña & Manvir Singh & Maxime Derex, 2024. "Do institutions evolve like material technologies?," Working Papers hal-04600184, HAL.
    2. E. Reindl & A. L. Gwilliams & L. G. Dean & R. L. Kendal & C. Tennie, 2020. "Skills and motivations underlying children’s cumulative cultural learning: case not closed," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-9, December.
    3. Noblit, Graham Alexander & Hadfield, Gillian, 2023. "Normative Conflict and Normative Change," SocArXiv tvg7b, Center for Open Science.
    4. Przepiorka, Wojtek, 2023. "Laboratory experiments," SocArXiv 9cxq2, Center for Open Science.
    5. Ingela Alger & Slimane Dridi & Jonathan Stieglitz & Michael Wilson, 2022. "The evolution of early hominin food production and sharing," Working Papers hal-03676885, HAL.
    6. Alexandre Bluet & François Osiurak & Nicolas Claidière & Emanuelle Reynaud, 2022. "Impact of technical reasoning and theory of mind on cumulative technological culture: insights from a model of micro-societies," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-10, December.

  11. Jacob W. Crandall & Mayada Oudah & Tennom & Fatimah Ishowo-Oloko & Sherief Abdallah & Jean-François Bonnefon & Manuel Cebrian & Azim Shariff & Michael A. Goodrich & Iyad Rahwan, 2018. "Cooperating with machines," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    • Abdallah, Sherief & Bonnefon, Jean-François & Cebrian, Manuel & Crandall, Jacob W. & Ishowo-Oloko, Fatimah & Oudah, Mayada & Rahwan, Iyad & Shariff, Azim & Tennom,, 2017. "Cooperating with Machines," IAST Working Papers 17-68, Institute for Advanced Study in Toulouse (IAST).
    • Abdallah, Sherief & Bonnefon, Jean-François & Cebrian, Manuel & Crandall, Jacob W. & Ishowo-Oloko, Fatimah & Oudah, Mayada & Rahwan, Iyad & Shariff, Azim & Tennom,, 2017. "Cooperating with Machines," TSE Working Papers 17-806, Toulouse School of Economics (TSE).
    • Jacob Crandall & Mayada Oudah & Fatimah Ishowo-Oloko Tennom & Fatimah Ishowo-Oloko & Sherief Abdallah & Jean-François Bonnefon & Manuel Cebrian & Azim Shariff & Michael Goodrich & Iyad Rahwan, 2018. "Cooperating with machines," Post-Print hal-01897802, HAL.
    See citations under working paper version above.
  12. Edmond Awad & Sohan Dsouza & Richard Kim & Jonathan Schulz & Joseph Henrich & Azim Shariff & Jean-François Bonnefon & Iyad Rahwan, 2018. "The Moral Machine experiment," Nature, Nature, vol. 563(7729), pages 59-64, November.

    Cited by:

    1. Yulia Sullivan & Marc Bourmont & Mary Dunaway, 2022. "Appraisals of harms and injustice trigger an eerie feeling that decreases trust in artificial intelligence systems," Annals of Operations Research, Springer, vol. 308(1), pages 525-548, January.
    2. Klockmann, Victor & von Schenk, Alicia & Villeval, Marie Claire, 2022. "Artificial intelligence, ethics, and intergenerational responsibility," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 284-317.
    3. Federico Cugurullo & Federico Caprotti & Matthew Cook & Andrew Karvonen & Pauline MᶜGuirk & Simon Marvin, 2024. "The rise of AI urbanism in post-smart cities: A critical commentary on urban artificial intelligence," Urban Studies, Urban Studies Journal Limited, vol. 61(6), pages 1168-1182, May.
    4. Klockmann, Victor & von Schenk, Alicia & Villeval, Marie-Claire, 2022. "Artificial intelligence, ethics, and diffused pivotality," SAFE Working Paper Series 336, Leibniz Institute for Financial Research SAFE.
    5. Zhang, Qiyuan & Wallbridge, Christopher D. & Jones, Dylan M. & Morgan, Phillip L., 2024. "Public perception of autonomous vehicle capability determines judgment of blame and trust in road traffic accidents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    6. Jay J. Van Bavel & Katherine Baicker & Paulo S. Boggio & Valerio Capraro & Aleksandra Cichocka & Mina Cikara & Molly J. Crockett & Alia J. Crum & Karen M. Douglas & James N. Druckman & John Drury & Oe, 2020. "Using social and behavioural science to support COVID-19 pandemic response," Nature Human Behaviour, Nature, vol. 4(5), pages 460-471, May.
    7. Matus, Kira & Veale, Michael, 2021. "Certification Systems for Machine Learning: Lessons from Sustainability," SocArXiv pm3wy, Center for Open Science.
    8. 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.
    9. Mannucci, Pier Vittorio & Shalley, Christina E., 2022. "Embracing multicultural tensions: How team members’ multicultural paradox mindsets foster team information elaboration and creativity," Organizational Behavior and Human Decision Processes, Elsevier, vol. 173(C).
    10. Heinz, Nicolai & Koessler, Ann Kathrin, 2021. "Other-regarding preferences and pro-environmental behaviour: an interdisciplinary review of experimental studies," LSE Research Online Documents on Economics 112984, London School of Economics and Political Science, LSE Library.
    11. Boffa, Federico & Fedele, Alessandro & Iozzi, Alberto, 2023. "Congestion and incentives in the age of driverless fleets," Journal of Urban Economics, Elsevier, vol. 137(C).
    12. Mamak, Kamil & Glanc, Jadwiga, 2022. "Problems with the prospective connected autonomous vehicles regulation: Finding a fair balance versus the instinct for self-preservation," Technology in Society, Elsevier, vol. 71(C).
    13. William N. Caballero & Roi Naveiro & David Ríos Insua, 2022. "Modeling Ethical and Operational Preferences in Automated Driving Systems," Decision Analysis, INFORMS, vol. 19(1), pages 21-43, March.
    14. Kinga Makovi & Anahit Sargsyan & Wendi Li & Jean-François Bonnefon & Talal Rahwan, 2023. "Trust within human-machine collectives depends on the perceived consensus about cooperative norms," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    15. Jake B. Telkamp & Marc H. Anderson, 2022. "The Implications of Diverse Human Moral Foundations for Assessing the Ethicality of Artificial Intelligence," Journal of Business Ethics, Springer, vol. 178(4), pages 961-976, July.
    16. Buckmann, Marcus & Haldane, Andy & Hüser, Anne-Caroline, 2021. "Comparing minds and machines: implications for financial stability," Bank of England working papers 937, Bank of England.
    17. Scott Claessens & Thanos Kyritsis & Quentin D. Atkinson, 2023. "Cross-national analyses require additional controls to account for the non-independence of nations," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    18. Yoo, Sunbin & Kumagai, Junya & Morita, Tamaki & Park, Y. Gina & Managi, Shunsuke, 2023. "Who to sacrifice? Modeling the driver’s dilemma," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    19. Ünveren, Burak & Durmaz, Tunç & Sunal, Seçkin, 2023. "AI revolution and coordination failure: Theory and evidence," Journal of Macroeconomics, Elsevier, vol. 78(C).
    20. Kassens-Noor, Eva & Cai, Meng & Kotval-Karamchandani, Zeenat & Decaminada, Travis, 2021. "Autonomous vehicles and mobility for people with special needs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 385-397.
    21. Janssen, Patrick & Sadowski, Bert M., 2021. "Bias in Algorithms: On the trade-off between accuracy and fairness," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 238032, International Telecommunications Society (ITS).
    22. Kai Jia & Nan Zhang, 2022. "Categorization and eccentricity of AI risks: a comparative study of the global AI guidelines," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 59-71, March.
    23. Steve J. Bickley & Benno Torgler, 2021. "Cognitive Architectures for Artificial Intelligence Ethics," CREMA Working Paper Series 2021-27, Center for Research in Economics, Management and the Arts (CREMA).
    24. Tan Yigitcanlar & Federico Cugurullo, 2020. "The Sustainability of Artificial Intelligence: An Urbanistic Viewpoint from the Lens of Smart and Sustainable Cities," Sustainability, MDPI, vol. 12(20), pages 1-24, October.
    25. Davies, Elwyn & Fafchamps, Marcel, 2021. "When no bad deed goes punished: Relational contracting in Ghana and the UK," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 714-737.
    26. Kaye, Sherrie-Anne & Buckley, Lisa & Rakotonirainy, Andry & Delhomme, Patricia, 2019. "An adaptive approach for trialling fully automated vehicles in Queensland Australia: A brief report," Transport Policy, Elsevier, vol. 81(C), pages 275-281.
    27. Rejali, Sina & Aghabayk, Kayvan & Esmaeli, Saeed & Shiwakoti, Nirajan, 2023. "Comparison of technology acceptance model, theory of planned behavior, and unified theory of acceptance and use of technology to assess a priori acceptance of fully automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    28. Tanay Katiyar & Jean-François Bonnefon & Samuel Mehr & Manvir Singh, 2024. "Discovering the unknown unknowns of research cartography with high-throughput natural description," Post-Print hal-04551319, HAL.
    29. Joanna Sleigh & Shannon Hubbs & Alessandro Blasimme & Effy Vayena, 2024. "Can digital tools foster ethical deliberation?," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    30. Christian T. Elbaek & Ifeatu Uzodinma & Zilia Ismagilova & Panagiotis Mitkidis, 2022. "Suppetia ex machina: How can AI technologies aid financial decision-making of people with low socioeconomic status?," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 6(S1), pages 49-57, July.
    31. Marilyn Giroux & Jungkeun Kim & Jacob C. Lee & Jongwon Park, 2022. "Artificial Intelligence and Declined Guilt: Retailing Morality Comparison Between Human and AI," Journal of Business Ethics, Springer, vol. 178(4), pages 1027-1041, July.
    32. Poszler, Franziska & Geisslinger, Maximilian & Betz, Johannes & Lütge, Christoph, 2023. "Applying ethical theories to the decision-making of self-driving vehicles: A systematic review and integration of the literature," Technology in Society, Elsevier, vol. 75(C).
    33. Rostislav Staněk & Ondřej Krčál & Katarína Čellárová, 2021. "Pull yourself up by your bootstraps: Identifying procedural preferences against helping others in the presence of moral hazard," MUNI ECON Working Papers 2021-11, Masaryk University, revised Feb 2023.
    34. Chunya Xie & Tianhui Fu & Chen Yang & En-Chung Chang & Mengying Zhao, 2024. "Not a good judge of talent: the influence of subjective socioeconomic status on AI aversion," Marketing Letters, Springer, vol. 35(3), pages 381-393, September.
    35. Mordue, Greig & Yeung, Anders & Wu, Fan, 2020. "The looming challenges of regulating high level autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 174-187.
    36. Qian, Lixian & Yin, Juelin & Huang, Youlin & Liang, Ya, 2023. "The role of values and ethics in influencing consumers’ intention to use autonomous vehicle hailing services," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    37. Kenesei, Zsófia & Ásványi, Katalin & Kökény, László & Jászberényi, Melinda & Miskolczi, Márk & Gyulavári, Tamás & Syahrivar, Jhanghiz, 2022. "Trust and perceived risk: How different manifestations affect the adoption of autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 379-393.
    38. Elias Fernández Domingos & Inês Terrucha & Rémi Suchon & Jelena Grujić & Juan Burguillo & Francisco Santos & Tom Lenaerts, 2022. "Delegation to artificial agents fosters prosocial behaviors in the collective risk dilemma," Post-Print hal-04296038, HAL.
    39. Du, Manqing & Zhang, Tingru & Liu, Jinting & Xu, Zhigang & Liu, Peng, 2022. "Rumors in the air? Exploring public misconceptions about automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 156(C), pages 237-252.
    40. Fink, Matthias & Maresch, Daniela & Gartner, Johannes, 2023. "Programmed to do good: The categorical imperative as a key to moral behavior of social robots," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    41. MARTENS, David, 2020. "FAT Flow: A data science ethics framework," Working Papers 2020004, University of Antwerp, Faculty of Business and Economics.
    42. Ali Gohar & Gianfranco Nencioni, 2021. "The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System," Sustainability, MDPI, vol. 13(9), pages 1-24, May.
    43. 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.
    44. Meyer-Waarden, Lars & Cloarec, Julien, 2022. "“Baby, you can drive my car”: Psychological antecedents that drive consumers’ adoption of AI-powered autonomous vehicles," Technovation, Elsevier, vol. 109(C).
    45. Kira J.M. Matus & Michael Veale, 2022. "Certification systems for machine learning: Lessons from sustainability," Regulation & Governance, John Wiley & Sons, vol. 16(1), pages 177-196, January.
    46. Simone Vannuccini & Ekaterina Prytkova, 2021. "Artificial Intelligence’s New Clothes? From General Purpose Technology to Large Technical System," SPRU Working Paper Series 2021-02, SPRU - Science Policy Research Unit, University of Sussex Business School.
    47. Frederic René Hopp & Jacob Taylor Fisher & René Weber, 2020. "A Graph-Learning Approach for Detecting Moral Conflict in Movie Scripts," Media and Communication, Cogitatio Press, vol. 8(3), pages 164-179.
    48. Krügel, Sebastian & Uhl, Matthias, 2022. "Autonomous vehicles and moral judgments under risk," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 1-10.
    49. Wolfgang Habla & Mitesh Kataria & Peter Martinsson & Kerstin Roeder, 2024. "Should it stay, or swerve? Trading off lives in dilemma situations involving autonomous cars," Health Economics, John Wiley & Sons, Ltd., vol. 33(5), pages 929-951, May.
    50. Christoph Lütge & Franziska Poszler & Aida Joaquin Acosta & David Danks & Gail Gottehrer & Lucian Mihet-Popa & Aisha Naseer, 2021. "AI4People: Ethical Guidelines for the Automotive Sector – Fundamental Requirements and Practical Recommendations," International Journal of Technoethics (IJT), IGI Global, vol. 12(1), pages 101-125, January.
    51. Luzuriaga, Miguel & Heras, Antonio & Kunze, Oliver, 2020. "Hurting Others versus Hurting Myself, a Dilemma for Our Autonomous Vehicle," Review of Behavioral Economics, now publishers, vol. 7(1), pages 1-30, March.
    52. Hensel, Lukas & Witte, Marc & Caria, A. Stefano & Fetzer, Thiemo & Fiorin, Stefano & Götz, Friedrich M. & Gomez, Margarita & Haushofer, Johannes & Ivchenko, Andriy & Kraft-Todd, Gordon & Reutskaja, El, 2022. "Global Behaviors, Perceptions, and the Emergence of Social Norms at the Onset of the COVID-19 Pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 473-496.
    53. Kaplan, Andreas & Haenlein, Michael, 2020. "Rulers of the world, unite! The challenges and opportunities of artificial intelligence," Business Horizons, Elsevier, vol. 63(1), pages 37-50.
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    55. Naoum Tsolakis & Roman Schumacher & Manoj Dora & Mukesh Kumar, 2023. "Artificial intelligence and blockchain implementation in supply chains: a pathway to sustainability and data monetisation?," Annals of Operations Research, Springer, vol. 327(1), pages 157-210, August.
    56. Bence Bago & Marton Kovacs & John Protzko & Tamas Nagy & Zoltan Kekecs & Bence Palfi & Matus Adamkovic & Sylwia Adamus & Sumaya Albalooshi & Nihan Albayrak-Aydemir & Ilham N. Alfian & Sinan Alper & Sa, 2022. "Situational factors shape moral judgements in the trolley dilemma in Eastern, Southern and Western countries in a culturally diverse sample," Nature Human Behaviour, Nature, vol. 6(6), pages 880-895, June.
    57. Crisanta-Alina Mazilescu & Laurent Auzoult-Chagnault & Loredana Ileana Viscu & Bernard Gangloff, 2021. "Student Perception of the Social Value of Responsible Management," Societies, MDPI, vol. 11(1), pages 1-17, February.
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  13. Azim Shariff & Jean-François Bonnefon & Iyad Rahwan, 2017. "Psychological roadblocks to the adoption of self-driving vehicles," Nature Human Behaviour, Nature, vol. 1(10), pages 694-696, October.

    Cited by:

    1. Burak Can Altay & Abdullah Erdem Boztas & Abdullah Okumuş & Muhammet Gul & Erkan Çelik, 2023. "How Will Autonomous Vehicles Decide in Case of an Accident? An Interval Type-2 Fuzzy Best–Worst Method for Weighting the Criteria from Moral Values Point of View," Sustainability, MDPI, vol. 15(11), pages 1-20, June.
    2. Klockmann, Victor & von Schenk, Alicia & Villeval, Marie Claire, 2022. "Artificial intelligence, ethics, and intergenerational responsibility," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 284-317.
    3. Arto O Salonen & Noora Haavisto, 2019. "Towards Autonomous Transportation. Passengers’ Experiences, Perceptions and Feelings in a Driverless Shuttle Bus in Finland," Sustainability, MDPI, vol. 11(3), pages 1-19, January.
    4. Liu, Peng & Ma, Yanjiao & Zuo, Yaqing, 2019. "Self-driving vehicles: Are people willing to trade risks for environmental benefits?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 139-149.
    5. Jack Stilgoe & Tom Cohen, 2021. "Rejecting acceptance: learning from public dialogue on self-driving vehicles [Crowdsourcing Moral Machines]," Science and Public Policy, Oxford University Press, vol. 48(6), pages 849-859.
    6. Bonnefon, Jean-François & Shariff, Azim & Rahwan, Iyad, 2021. "How safe is safe enough? Psychological mechanisms underlying extreme safety demands for self-driving cars," TSE Working Papers 21-1215, Toulouse School of Economics (TSE).
    7. Agnieszka Dudziak & Monika Stoma & Andrzej Kuranc & Jacek Caban, 2021. "Assessment of Social Acceptance for Autonomous Vehicles in Southeastern Poland," Energies, MDPI, vol. 14(18), pages 1-16, September.
    8. Kenichiro Chinen & Yang Sun & Mitsutaka Matsumoto & Yoon-Young Chun, 2020. "Towards a Sustainable Society through Emerging Mobility Services: A Case of Autonomous Buses," Sustainability, MDPI, vol. 12(21), pages 1-20, November.
    9. Lindgren, Thomas & Pink, Sarah & Fors, Vaike, 2021. "Fore-sighting autonomous driving - An Ethnographic approach," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    10. Karami, Hossein & Abbasi, Mohammadhossein & Samadzad, Mahdi & Karami, Ali, 2024. "Unraveling behavioral factors influencing the adoption of urban air mobility from the end user's perspective in Tehran – A developing country outlook," Transport Policy, Elsevier, vol. 145(C), pages 74-84.
    11. Fatemeh Nazari & Yellitza Soto & Mohamadhossein Noruzoliaee, 2023. "Privately-Owned versus Shared Automated Vehicle: The Roles of Utilitarian and Hedonic Beliefs," Papers 2309.03283, arXiv.org.
    12. Monika Stoma & Agnieszka Dudziak & Jacek Caban & Paweł Droździel, 2021. "The Future of Autonomous Vehicles in the Opinion of Automotive Market Users," Energies, MDPI, vol. 14(16), pages 1-19, August.
    13. Zhai, Siming & Gao, Shan & Wang, Lin & Liu, Peng, 2023. "When both human and machine drivers make mistakes: Whom to blame?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    14. Winter, Scott R. & Rice, Stephen & Lamb, Tracy L., 2020. "A prediction model of Consumer's willingness to fly in autonomous air taxis," Journal of Air Transport Management, Elsevier, vol. 89(C).
    15. Xing, Yingying & Zhou, Huiyu & Han, Xiao & Zhang, Meng & Lu, Jian, 2022. "What influences vulnerable road users’ perceptions of autonomous vehicles? A comparative analysis of the 2017 and 2019 Pittsburgh surveys," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    16. Rejali, Sina & Aghabayk, Kayvan & Esmaeli, Saeed & Shiwakoti, Nirajan, 2023. "Comparison of technology acceptance model, theory of planned behavior, and unified theory of acceptance and use of technology to assess a priori acceptance of fully automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 168(C).
    17. Amalia Polydoropoulou & Athena Tsirimpa & Ioannis Karakikes & Ioannis Tsouros & Ioanna Pagoni, 2022. "Mode Choice Modeling for Sustainable Last-Mile Delivery: The Greek Perspective," Sustainability, MDPI, vol. 14(15), pages 1-14, July.
    18. Wei Wei & Jie Sun & Wei Miao & Tong Chen & Hanchu Sun & Shuyuan Lin & Chao Gu, 2024. "Using the Extended Unified Theory of Acceptance and Use of Technology to explore how to increase users’ intention to take a robotaxi," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    19. Sun, Baofeng & Ma, Guodong & Song, Jia & Cheng, Zeyang & Wang, Wei, 2023. "Driving safety field modeling focused on heterogeneous traffic flows and cooperative control strategy in highway merging zone," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    20. Mordue, Greig & Yeung, Anders & Wu, Fan, 2020. "The looming challenges of regulating high level autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 174-187.
    21. Qian, Lixian & Yin, Juelin & Huang, Youlin & Liang, Ya, 2023. "The role of values and ethics in influencing consumers’ intention to use autonomous vehicle hailing services," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    22. Armando Cartenì & Ilaria Henke & Clorinda Molitierno & Luigi Di Francesco, 2020. "Strong Sustainability in Public Transport Policies: An e-Mobility Bus Fleet Application in Sorrento Peninsula (Italy)," Sustainability, MDPI, vol. 12(17), pages 1-19, August.
    23. Meyer-Waarden, Lars & Cloarec, Julien, 2022. "“Baby, you can drive my car”: Psychological antecedents that drive consumers’ adoption of AI-powered autonomous vehicles," Technovation, Elsevier, vol. 109(C).
    24. Sovacool, Benjamin K. & Griffiths, Steve, 2020. "The cultural barriers to a low-carbon future: A review of six mobility and energy transitions across 28 countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    25. Weixi Ren & Bo Yu & Yuren Chen & Kun Gao, 2022. "Divergent Effects of Factors on Crash Severity under Autonomous and Conventional Driving Modes Using a Hierarchical Bayesian Approach," IJERPH, MDPI, vol. 19(18), pages 1-22, September.
    26. Nastjuk, Ilja & Herrenkind, Bernd & Marrone, Mauricio & Brendel, Alfred Benedikt & Kolbe, Lutz M., 2020. "What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    27. Lars Meyer-Waarden & Julien Cloarec, 2022. "“Baby, you can drive my car”: Psychological antecedents that drive consumers’ adoption of AI-powered autonomous vehicles," Post-Print hal-03385891, HAL.
    28. Sunbin YOO & KUMAGAI Junya & KAWABATA Yuta & MANAGI Shunsuke, 2022. "Achieving Inclusive Transportation: Fully Automated Vehicles with Social Support," Discussion papers 22017, Research Institute of Economy, Trade and Industry (RIETI).
    29. Samadzad, Mahdi & Nosratzadeh, Hossein & Karami, Hossein & Karami, Ali, 2023. "What are the factors affecting the adoption and use of electric scooter sharing systems from the end user's perspective?," Transport Policy, Elsevier, vol. 136(C), pages 70-82.
    30. Yukari Jessica Tham & Takaaki Hashimoto & Kaori Karasawa, 2022. "Underlying dimensions of benefit and risk perception and their effects on people’s acceptance of conditionally/fully automated vehicles," Transportation, Springer, vol. 49(6), pages 1715-1736, December.
    31. O'Shaughnessy, Matthew & Schiff, Daniel & Varshney, Lav R. & Rozell, Christopher & Davenport, Mark, 2021. "What governs attitudes toward artificial intelligence adoption and governance?," OSF Preprints pkeb8, Center for Open Science.
    32. Yan, Yingying & Zhong, Shiquan & Tian, Junfang & Li, Tong, 2022. "Continuance intention of autonomous buses: An empirical analysis based on passenger experience," Transport Policy, Elsevier, vol. 126(C), pages 85-95.
    33. Jing, Peng & Wang, Baihui & Cai, Yunhao & Wang, Bichen & Huang, Jiahui & Yang, Chenglu & Jiang, Chengxi, 2023. "What is the public really concerned about the AV crash? Insights from a combined analysis of social media and questionnaire survey," Technological Forecasting and Social Change, Elsevier, vol. 189(C).

  14. De Neys, Wim & Hopfensitz, Astrid & Bonnefon, Jean-François, 2015. "Adolescents gradually improve at detecting trustworthiness from the facial features of unknown adults," Journal of Economic Psychology, Elsevier, vol. 47(C), pages 17-22.
    See citations under working paper version above.
  15. Marco Heimann & Étienne Mullet & Jean-François Bonnefon, 2015. "Peoples’ Views About the Acceptability of Executive Bonuses and Compensation Policies," Journal of Business Ethics, Springer, vol. 127(3), pages 661-671, March.
    See citations under working paper version above.
  16. Stefania Pighin & Lucia Savadori & Elisa Barilli & Laura Cremonesi & Maurizio Ferrari & Jean-François Bonnefon, 2011. "The 1-in-X Effect on the Subjective Assessment of Medical Probabilities," Medical Decision Making, , vol. 31(5), pages 721-729, September.

    Cited by:

    1. Suk, Kwanho & Hwang, Sanyoung & Jeong, Yunjoo, 2022. "The 1-in-X effect in perceptions of risk likelihood differences," Organizational Behavior and Human Decision Processes, Elsevier, vol. 170(C).
    2. Miroslav Sirota & Marie Juanchich, 2019. "Ratio Format Shapes Health Decisions: The Practical Significance of the “1-in-X†Effect," Medical Decision Making, , vol. 39(1), pages 32-40, January.
    3. Brian J. Zikmund-Fisher, 2011. "Time to Retire the 1-in-X Risk Format," Medical Decision Making, , vol. 31(5), pages 703-704, September.
    4. Stefania Pighin & Lucia Savadori & Elisa Barilli & Rino Rumiati & Sara Bonalumi & Maurizio Ferrari & Laura Cremonesi, 2013. "Using Comparison Scenarios to Improve Prenatal Risk Communication," Medical Decision Making, , vol. 33(1), pages 48-58, January.
    5. Miroslav Sirota & Marie Juanchich & Olga Kostopoulou & Robert Hanak, 2014. "Decisive Evidence on a Smaller-Than-You-Think Phenomenon," Medical Decision Making, , vol. 34(4), pages 419-429, May.
    6. Jurriaan P. Oudhoff & Daniëlle R. M. Timmermans, 2015. "The Effect of Different Graphical and Numerical Likelihood Formats on Perception of Likelihood and Choice," Medical Decision Making, , vol. 35(4), pages 487-500, May.
    7. Miroslav Sirota & Marie Juanchich & Dafina Petrova & Rocio Garcia-Retamero & Lukasz Walasek & Sudeep Bhatia, 2018. "Health Professionals Prefer to Communicate Risk-Related Numerical Information Using “1-in-X†Ratios," Medical Decision Making, , vol. 38(3), pages 366-376, April.
    8. Brian J. Zikmund-Fisher, 2014. "Continued Use of 1-in-X Risk Communications Is a Systemic Problem," Medical Decision Making, , vol. 34(4), pages 412-413, May.

  17. Jean-François Bonnefon, 2010. "Behavioral evidence for framing effects in the resolution of the doctrinal paradox," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 34(4), pages 631-641, April.

    Cited by:

    1. Takuya Sekiguchi & Hisashi Ohtsuki, 2023. "Aggregation of Correlated Judgments on Multiple Interconnected Issues," Group Decision and Negotiation, Springer, vol. 32(1), pages 233-256, February.
    2. Takuya Sekiguchi, 2023. "Voting Records as Assessors of Premises Behind Collective Decisions," Group Decision and Negotiation, Springer, vol. 32(2), pages 257-275, April.
    3. Takuya Sekiguchi, 2019. "Preferences over procedures and outcomes in judgment aggregation: an experimental study," Theory and Decision, Springer, vol. 86(2), pages 239-258, March.
    4. Aureli Alabert & Mercè Farré, 2022. "The doctrinal paradox: comparison of decision rules in a probabilistic framework," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 58(4), pages 863-895, May.

  18. Jean-François Bonnefon & Didier Dubois & Hélène Fargier & Sylvie Leblois, 2008. "Qualitative Heuristics For Balancing the Pros and Cons," Theory and Decision, Springer, vol. 65(1), pages 71-95, August.

    Cited by:

    1. Reimann, Olivier & Schumacher, Christian & Vetschera, Rudolf, 2017. "How well does the OWA operator represent real preferences?," European Journal of Operational Research, Elsevier, vol. 258(3), pages 993-1003.

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