IDEAS home Printed from https://ideas.repec.org/p/jgu/wpaper/2304.html
   My bibliography  Save this paper

Designing incentives and performance measurement for advisors: How to make decision-makers listen to advice

Author

Listed:
  • Robert M. Gillenkirch

    (University of Osnabrück)

  • Julia Ortner

    (Johannes Gutenberg University Mainz)

  • Sebastian Robert

    (Rosenheim University of Applied Sciences)

  • Louis Velthuis

    (Johannes Gutenberg University Mainz)

Abstract

In a sequence of experiments, this study investigates how the design of an advisor's performance-dependent pay affects a decision-maker's reliance on advice. In all experiments, the decision-maker forms an initial judgment, receives advice and then makes a final judgment. The advisor's compensation is manipulated to be fixed, based on individual performance, or based on group performance. We find that performancedependent pay does not affect the decision-maker's reliance on advice unless performance measurement relates to group performance. Path model analyses show that the advisor's performance measurement affects the decision-maker's perceptions of responsibility and power, and that responsibility is the main driver of the decision-maker's cooperativeness, which mediates the relationship between performance measurement and reliance on advice. In contrast, a decision-maker's beliefs in the incentive effects of financial compensation on the quality of advice do not drive the results.

Suggested Citation

  • Robert M. Gillenkirch & Julia Ortner & Sebastian Robert & Louis Velthuis, 2023. "Designing incentives and performance measurement for advisors: How to make decision-makers listen to advice," Working Papers 2304, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    • Handle: RePEc:jgu:wpaper:2304
    as

    Download full text from publisher

    File URL: https://download.uni-mainz.de/RePEc/pdf/Discussion_Paper_2304.pdf
    File Function: First version, 2023
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dilip Mookherjee, 2006. "Decentralization, Hierarchies, and Incentives: A Mechanism Design Perspective," Journal of Economic Literature, American Economic Association, vol. 44(2), pages 367-390, June.
    2. Super, Janice Francis & Li, Pingshu & Ishqaidef, Ghadir & Guthrie, James P., 2016. "Group rewards, group composition and information sharing: A motivated information processing perspective," Organizational Behavior and Human Decision Processes, Elsevier, vol. 134(C), pages 31-44.
    3. Hackethal, Andreas & Haliassos, Michael & Jappelli, Tullio, 2012. "Financial advisors: A case of babysitters?," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 509-524.
    4. Jodlbauer, Barbara & Jonas, Eva, 2011. "Forecasting clients’ reactions: How does the perception of strategic behavior influence the acceptance of advice?," International Journal of Forecasting, Elsevier, vol. 27(1), pages 121-133.
    5. Camerer, Colin F & Hogarth, Robin M, 1999. "The Effects of Financial Incentives in Experiments: A Review and Capital-Labor-Production Framework," Journal of Risk and Uncertainty, Springer, vol. 19(1-3), pages 7-42, December.
    6. Canice Prendergast, 1999. "The Provision of Incentives in Firms," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 7-63, March.
    7. Irlenbusch, Bernd & Ruchala, Gabriele K., 2008. "Relative rewards within team-based compensation," Labour Economics, Elsevier, vol. 15(2), pages 141-167, April.
    8. Yaniv, Ilan & Kleinberger, Eli, 2000. "Advice Taking in Decision Making: Egocentric Discounting and Reputation Formation," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(2), pages 260-281, November.
    9. van Dijk, Frans & Sonnemans, Joep & van Winden, Frans, 2001. "Incentive systems in a real effort experiment," European Economic Review, Elsevier, vol. 45(2), pages 187-214, February.
    10. Roman Inderst & Marco Ottaviani, 2009. "Misselling through Agents," American Economic Review, American Economic Association, vol. 99(3), pages 883-908, June.
    11. Bonner, Sarah E. & Sprinkle, Geoffrey B., 2002. "The effects of monetary incentives on effort and task performance: theories, evidence, and a framework for research," Accounting, Organizations and Society, Elsevier, vol. 27(4-5), pages 303-345.
    12. Bolton, Patrick & Freixas, Xavier & Shapiro, Joel, 2007. "Conflicts of interest, information provision, and competition in the financial services industry," Journal of Financial Economics, Elsevier, vol. 85(2), pages 297-330, August.
    13. Osband, Kent, 1989. "Optimal Forecasting Incentives," Journal of Political Economy, University of Chicago Press, vol. 97(5), pages 1091-1112, October.
    14. Logg, Jennifer M. & Minson, Julia A. & Moore, Don A., 2019. "Algorithm appreciation: People prefer algorithmic to human judgment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 151(C), pages 90-103.
    15. Sniezek, Janet A. & Van Swol, Lyn M., 2001. "Trust, Confidence, and Expertise in a Judge-Advisor System," Organizational Behavior and Human Decision Processes, Elsevier, vol. 84(2), pages 288-307, March.
    16. Heath, Chip, 1999. "On the Social Psychology of Agency Relationships: Lay Theories of Motivation Overemphasize Extrinsic Incentives," Organizational Behavior and Human Decision Processes, Elsevier, vol. 78(1), pages 25-62, April.
    17. Robert Gibbons, 1998. "Incentives in Organizations," Journal of Economic Perspectives, American Economic Association, vol. 12(4), pages 115-132, Fall.
    18. Jodlbauer, Barbara & Jonas, Eva, 2011. "Forecasting clients' reactions: How does the perception of strategic behavior influence the acceptance of advice?," International Journal of Forecasting, Elsevier, vol. 27(1), pages 121-133, January.
    19. Young, Sm, 1985. "Participative Budgeting - The Effects Of Risk-Aversion And Asymmetric Information On Budgetary Slack," Journal of Accounting Research, Wiley Blackwell, vol. 23(2), pages 829-842.
    20. Ernst Fehr & John A. List, 2004. "The Hidden Costs and Returns of Incentives-Trust and Trustworthiness Among CEOs," Journal of the European Economic Association, MIT Press, vol. 2(5), pages 743-771, September.
    21. Chen, Clara Xiaoling & Rennekamp, Kristina M. & Zhou, Flora H., 2015. "The effects of forecast type and performance-based incentives on the quality of management forecasts," Accounting, Organizations and Society, Elsevier, vol. 46(C), pages 8-18.
    22. Baker, George P, 1992. "Incentive Contracts and Performance Measurement," Journal of Political Economy, University of Chicago Press, vol. 100(3), pages 598-614, June.
    23. Lisa M. Scheele & Ulrich W. Thonemann & Marco Slikker, 2018. "Designing Incentive Systems for Truthful Forecast Information Sharing Within a Firm," Management Science, INFORMS, vol. 64(8), pages 3690-3713, August.
    24. Donald L. Ferrin & Kurt T. Dirks, 2003. "The Use of Rewards to Increase and Decrease Trust: Mediating Processes and Differential Effects," Organization Science, INFORMS, vol. 14(1), pages 18-31, February.
    25. Gino, Francesca, 2008. "Do we listen to advice just because we paid for it? The impact of advice cost on its use," Organizational Behavior and Human Decision Processes, Elsevier, vol. 107(2), pages 234-245, November.
    26. Patt, Anthony G. & Bowles, Hannah Riley & Cash, David W., 2006. "Mechanisms for Enhancing the Credibility of an Adviser: Prepayment and Aligned Incentives," Working Paper Series rwp06-010, Harvard University, John F. Kennedy School of Government.
    27. Harvey, Nigel & Fischer, Ilan, 1997. "Taking Advice: Accepting Help, Improving Judgment, and Sharing Responsibility," Organizational Behavior and Human Decision Processes, Elsevier, vol. 70(2), pages 117-133, May.
    28. Rydval, Ondrej & Ortmann, Andreas, 2004. "How financial incentives and cognitive abilities affect task performance in laboratory settings: an illustration," Economics Letters, Elsevier, vol. 85(3), pages 315-320, December.
    29. See, Kelly E. & Morrison, Elizabeth W. & Rothman, Naomi B. & Soll, Jack B., 2011. "The detrimental effects of power on confidence, advice taking, and accuracy," Organizational Behavior and Human Decision Processes, Elsevier, vol. 116(2), pages 272-285.
    30. Ashton, Rh, 1990. "Pressure And Performance In Accounting Decision Settings - Paradoxical Effects Of Incentives, Feedback, And Justification," Journal of Accounting Research, Wiley Blackwell, vol. 28, pages 148-180.
    31. Chee W. Chow & Mark K. Hirst & Michael D. Shields, 1994. "Motivating Truthful Subordinate Reporting: An Experimental Investigation in a Two†Subordinate Context," Contemporary Accounting Research, John Wiley & Sons, vol. 10(2), pages 699-720, March.
    32. Yaniv, Ilan & Milyavsky, Maxim, 2007. "Using advice from multiple sources to revise and improve judgments," Organizational Behavior and Human Decision Processes, Elsevier, vol. 103(1), pages 104-120, May.
    33. Bonaccio, Silvia & Dalal, Reeshad S., 2006. "Advice taking and decision-making: An integrative literature review, and implications for the organizational sciences," Organizational Behavior and Human Decision Processes, Elsevier, vol. 101(2), pages 127-151, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alison Wood Brooks & Francesca Gino & Maurice E. Schweitzer, 2015. "Smart People Ask for (My) Advice: Seeking Advice Boosts Perceptions of Competence," Management Science, INFORMS, vol. 61(6), pages 1421-1435, June.
    2. Kausel, Edgar E. & Culbertson, Satoris S. & Leiva, Pedro I. & Slaughter, Jerel E. & Jackson, Alexander T., 2015. "Too arrogant for their own good? Why and when narcissists dismiss advice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 131(C), pages 33-50.
    3. Effron, Daniel A. & Miller, Dale T., 2015. "Do as I say, not as I’ve done: Suffering for a misdeed reduces the hypocrisy of advising others against it," Organizational Behavior and Human Decision Processes, Elsevier, vol. 131(C), pages 16-32.
    4. Blunden, Hayley & Logg, Jennifer M. & Brooks, Alison Wood & John, Leslie K. & Gino, Francesca, 2019. "Seeker beware: The interpersonal costs of ignoring advice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 150(C), pages 83-100.
    5. Philipp Ecken & Richard Pibernik, 2016. "Hit or Miss: What Leads Experts to Take Advice for Long-Term Judgments?," Management Science, INFORMS, vol. 62(7), pages 2002-2021, July.
    6. Palmeira, Mauricio, 2020. "Advice in the presence of external cues: The impact of conflicting judgments on perceptions of expertise," Organizational Behavior and Human Decision Processes, Elsevier, vol. 156(C), pages 82-96.
    7. Corentin Vande Kerckhove & Samuel Martin & Pascal Gend & Peter J Rentfrow & Julien M Hendrickx & Vincent D Blondel, 2016. "Modelling Influence and Opinion Evolution in Online Collective Behaviour," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-25, June.
    8. See, Kelly E. & Morrison, Elizabeth W. & Rothman, Naomi B. & Soll, Jack B., 2011. "The detrimental effects of power on confidence, advice taking, and accuracy," Organizational Behavior and Human Decision Processes, Elsevier, vol. 116(2), pages 272-285.
    9. Gino, Francesca, 2008. "Do we listen to advice just because we paid for it? The impact of advice cost on its use," Organizational Behavior and Human Decision Processes, Elsevier, vol. 107(2), pages 234-245, November.
    10. Keding, Christoph & Meissner, Philip, 2021. "Managerial overreliance on AI-augmented decision-making processes: How the use of AI-based advisory systems shapes choice behavior in R&D investment decisions," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
    11. Albert E. Mannes, 2009. "Are We Wise About the Wisdom of Crowds? The Use of Group Judgments in Belief Revision," Management Science, INFORMS, vol. 55(8), pages 1267-1279, August.
    12. Julie R. Agnew & Hazel Bateman & Christine Eckert & Fedor Iskhakov & Jordan Louviere & Susan Thorp, 2018. "First Impressions Matter: An Experimental Investigation of Online Financial Advice," Management Science, INFORMS, vol. 64(1), pages 288-307, January.
    13. Rader, Christina A. & Soll, Jack B. & Larrick, Richard P., 2015. "Pushing away from representative advice: Advice taking, anchoring, and adjustment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 130(C), pages 26-43.
    14. repec:cup:judgdm:v:11:y:2016:i:4:p:401-415 is not listed on IDEAS
    15. Winkler, Jens & Moser, Roger, 2016. "Biases in future-oriented Delphi studies: A cognitive perspective," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 63-76.
    16. Mandy Hütter & Fabian Ache, 2016. "Seeking advice: A sampling approach to advice taking," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 11(4), pages 401-415, July.
    17. Önkal, Dilek & Sinan Gönül, M. & Goodwin, Paul & Thomson, Mary & Öz, Esra, 2017. "Evaluating expert advice in forecasting: Users’ reactions to presumed vs. experienced credibility," International Journal of Forecasting, Elsevier, vol. 33(1), pages 280-297.
    18. Gino, Francesca & Shang, Jen & Croson, Rachel, 2009. "The impact of information from similar or different advisors on judgment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 108(2), pages 287-302, March.
    19. Dickinson, David & Villeval, Marie-Claire, 2008. "Does monitoring decrease work effort?: The complementarity between agency and crowding-out theories," Games and Economic Behavior, Elsevier, vol. 63(1), pages 56-76, May.
    20. Markus Jung & Mischa Seiter, 2021. "Towards a better understanding on mitigating algorithm aversion in forecasting: an experimental study," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 32(4), pages 495-516, December.
    21. Logg, Jennifer M. & Minson, Julia A. & Moore, Don A., 2019. "Algorithm appreciation: People prefer algorithmic to human judgment," Organizational Behavior and Human Decision Processes, Elsevier, vol. 151(C), pages 90-103.

    More about this item

    Keywords

    performance measurement; incentive design; reliance on advice; goal relatedness; incentives beliefs;
    All these keywords.

    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jgu:wpaper:2304. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Research Unit IPP (email available below). General contact details of provider: https://edirc.repec.org/data/vlmaide.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.