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Knowing Your Place: Social Performance Feedback in Good Times and Bad Times

Author

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  • Thomas P. Moliterno

    (Isenberg School of Management, University of Massachusetts Amherst, Amherst, Massachusetts 01003)

  • Nikolaus Beck

    (Faculty of Economics, University of Lugano, CH-6904 Lugano, Switzerland)

  • Christine M. Beckman

    (Paul Merage School of Business, University of California, Irvine, Irvine, California 92697; and Robert H. Smith School of Business, University of Maryland, College Park, Maryland 20742)

  • Mark Meyer

    (Institute for Economic Structures Research, D-49080 Osnabrück, Germany)

Abstract

Performance comparisons—specifically, performance relative to aspirations—are central to the behavioral theory of the firm. Firms evaluate their performance in relation to their own prior performance (“historical comparison”) and the performance of other organizations (“social comparison”) and base subsequent organizational change on this performance feedback. Of the two, social performance comparison has received relatively little theoretical or empirical development. This paper seeks to fill that gap by extending the theoretical conceptualization and empirical specification of the socially derived performance targets against which organizations compare their performance. Drawing on insights from the social psychology literature, we argue first that organizational decision makers monitor two socially derived performance benchmarks: an upwardly focused “top performance threshold” marking the highest levels of performance in the reference group and a downwardly anchored “reference group threshold” marking the performance level below which organizations can not consider themselves members of the reference group. Building on these arguments, we also motivate a new, and more complete, way to conceptualize performance comparison. Integrating socially and historically derived sources of performance feedback, we propose the historically based social aspiration threshold (HiBSAT) as an additional aspiration point representing the socially derived performance threshold closest to the organization’s prior performance. In an empirical analysis of German soccer league (Bundesliga) clubs between 1992 and 2004, we find that organizations have both upward and downward socially derived performance targets and that performance relative to the HiBSAT is particularly salient in motivating organizational change.

Suggested Citation

  • Thomas P. Moliterno & Nikolaus Beck & Christine M. Beckman & Mark Meyer, 2014. "Knowing Your Place: Social Performance Feedback in Good Times and Bad Times," Organization Science, INFORMS, vol. 25(6), pages 1684-1702, December.
  • Handle: RePEc:inm:ororsc:v:25:y:2014:i:6:p:1684-1702
    DOI: 10.1287/orsc.2014.0923
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    2. Songcui Hu & Zi-Lin He & Daniela P. Blettner & Richard A. Bettis, 2017. "Conflict inside and outside: Social comparisons and attention shifts in multidivisional firms," Strategic Management Journal, Wiley Blackwell, vol. 38(7), pages 1435-1454, July.
    3. Dongil D. Keum & J. P. Eggers, 2018. "Setting the Bar: The Evaluative and Allocative Roles of Organizational Aspirations," Organization Science, INFORMS, vol. 29(6), pages 1170-1186, December.
    4. Elizabeth Lim & Pino G. Audia, 2020. "Problem-Solving or Self-Enhancing? Influences of Diversification and Bright Spot on Corporate Resource Allocation Responses to Performance Shortfalls," Strategy Science, INFORMS, vol. 5(4), pages 348-368, December.
    5. André, Kévin & Cho, Charles H. & Laine, Matias, 2018. "Reference points for measuring social performance: Case study of a social business venture," Journal of Business Venturing, Elsevier, vol. 33(5), pages 660-678.
    6. van den Oever, Koen, 2017. "Uncharted waters : A behavioral approach to when, why and which organizational changes are adopted," Other publications TiSEM 0136c8c2-ecdd-4f82-8ca7-d, Tilburg University, School of Economics and Management.
    7. Ann‐Christine Schulz & Margarethe F. Wiersema, 2018. "The impact of earnings expectations on corporate downsizing," Strategic Management Journal, Wiley Blackwell, vol. 39(10), pages 2691-2702, October.
    8. Daniel A. Levinthal & Claus Rerup, 2021. "The Plural of Goal: Learning in a World of Ambiguity," Organization Science, INFORMS, vol. 32(3), pages 527-543, May.
    9. Daehun Chung & Dongyoub Shin, 2021. "When do firms invest in R&D? Two types of performance feedback and organizational search in the Korean shipbuilding industry," Asian Business & Management, Palgrave Macmillan, vol. 20(5), pages 583-617, November.
    10. Oveis Madadian & Walter Aerts & Tom Van Caneghem, 2018. "Social comparison of cost behaviour and financial analysts," Accounting and Business Research, Taylor & Francis Journals, vol. 48(7), pages 805-839, November.
    11. Pasi Kuusela & Thomas Keil & Markku Maula, 2017. "Driven by aspirations, but in what direction? Performance shortfalls, slack resources, and resource-consuming vs. resource-freeing organizational change," Strategic Management Journal, Wiley Blackwell, vol. 38(5), pages 1101-1120, May.
    12. Argiolas, Alessia & Rawhouser, Hans & Sydow, Alisa, 2024. "Social entrepreneurs concerned about Impact Drift. Evidence from contexts of persistent and pervasive need," Journal of Business Venturing, Elsevier, vol. 39(1).
    13. Martínez-Noya, Andrea & García-Canal, Esteban, 2021. "Innovation performance feedback and technological alliance portfolio diversity: The moderating role of firms’ R&D intensity," Research Policy, Elsevier, vol. 50(9).
    14. Eunjung Hyun, 2017. "How Third-Party CSR Evaluation Matters: Keeping Up with Rivals in CSR Performance Ratings of Korean Firms, 2011–2015," Sustainability, MDPI, vol. 9(11), pages 1-18, November.
    15. David Maslach & Oana Branzei & Claus Rerup & Mark J. Zbaracki, 2018. "Noise as Signal in Learning from Rare Events," Organization Science, INFORMS, vol. 29(2), pages 225-246, April.
    16. Lin Jiang & Biyun Chen, 2023. "A Two-Stage Bilateral Matching Study of Teams-Technology Talents in New R&D Institutions Based on Prospect Theory," Sustainability, MDPI, vol. 15(4), pages 1-27, February.
    17. Lanza, Andrea & Simone, Giuseppina & Bruno, Randolph, 2016. "Resource orchestration in the context of knowledge resources acquisition and divestment. The empirical evidence from the Italian “Serie A” football," European Management Journal, Elsevier, vol. 34(2), pages 145-157.
    18. Matteo Prato & Fabrizio Ferraro, 2018. "Starstruck: How Hiring High-Status Employees Affects Incumbents’ Performance," Organization Science, INFORMS, vol. 29(5), pages 755-774, October.
    19. Xin Chen & En Xie & Marc Van Essen, 2021. "Performance feedback and firms’ R&D frequency: a comparison between state-owned and private-owned enterprises in China," Asian Business & Management, Palgrave Macmillan, vol. 20(2), pages 221-258, April.
    20. Abhijith Anand & Rajeev Sharma & Rajiv Kohli, 2020. "The Effects of Operational and Financial Performance Failure on BI&A-Enabled Search Behaviors: A Theory of Performance-Driven Search," Information Systems Research, INFORMS, vol. 31(4), pages 1144-1163, December.
    21. John Joseph & Vibha Gaba, 2015. "The fog of feedback: Ambiguity and firm responses to multiple aspiration levels," Strategic Management Journal, Wiley Blackwell, vol. 36(13), pages 1960-1978, December.
    22. Wei Shi & Yan Zhang & Robert E. Hoskisson, 2017. "Ripple Effects of CEO Awards: Investigating the Acquisition Activities of Superstar CEOs' Competitors," Strategic Management Journal, Wiley Blackwell, vol. 38(10), pages 2080-2102, October.
    23. Luke Rhee & William Ocasio & Tae-Hyun Kim, 2019. "Performance Feedback in Hierarchical Business Groups: The Cross-Level Effects of Cognitive Accessibility on R&D Search Behavior," Organization Science, INFORMS, vol. 30(1), pages 51-69, February.
    24. Xie, En & Huang, Yuanyuan & Stevens, Charles E. & Lebedev, Sergey, 2019. "Performance feedback and outward foreign direct investment by emerging economy firms," Journal of World Business, Elsevier, vol. 54(6), pages 1-1.

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