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A Factorial Survey on Fair Leadership Behavior and the Role of Superiors

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  • Feldmann, Marcel

Abstract

This paper extends research on leader fairness to the perspective of his/her superior. While common research is focused on followers’ judgments of fair leadership behavior, I proposed to take into account the role of superiors due to their important position in organizational hierarchy influencing the relationship of leaders and followers considerably. To study these influences, I make use of a factorial survey design including two situations of leadership. Hierarchical linear modeling analyses shows that situational parameters which are important according to the perspective of superiors only have a weak influence on the justice judgments of respondents. Moreover, conclusions are drawn from the results in what directions the estimation of leader’s justice in the view of their superiors differ from the well-known perspectives of followers. Finally, the influence of personality attributes on justice perceptions is discussed and theoretical and practical implications for further research on fair leadership are revealed.

Suggested Citation

  • Feldmann, Marcel, 2010. "A Factorial Survey on Fair Leadership Behavior and the Role of Superiors," MPRA Paper 26009, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:26009
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    File URL: https://mpra.ub.uni-muenchen.de/26009/1/MPRA_paper_26009.pdf
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    References listed on IDEAS

    as
    1. Guillermina Jasso, 2006. "Factorial Survey Methods for Studying Beliefs and Judgments," Sociological Methods & Research, , vol. 34(3), pages 334-423, February.
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    More about this item

    Keywords

    leadership; leader; organizational justice; interactional justice; superior; work situations; factorial survey; interactionism; quasi-experimental design; NEO-FFI; big five;
    All these keywords.

    JEL classification:

    • D23 - Microeconomics - - Production and Organizations - - - Organizational Behavior; Transaction Costs; Property Rights
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation

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