Identifying Dark Leadership
Sinem Bulkan () and
Malcolm Higgs ()
Additional contact information
Sinem Bulkan: University of Reading
Malcolm Higgs: Birmingham City University
Chapter Chapter 3 in Dark Leadership, 2025, pp 57-93 from Springer
Abstract:
Abstract Dark leadership is a pervasive phenomenon in organisations, often manifesting through destructive traits, behaviours, and perceptions that undermine employee well-being and workplace culture. This chapter explores the identification of dark leadership by examining key indicators within the work context. It begins with an analysis of measurement tools used to assess dark leadership, followed by a discussion of the specific traits and behaviours commonly associated with dark leaders. The chapter further investigates how employees perceive dark leadership and how these perceptions shape organisational outcomes. Additionally, it considers the self-perception of dark leaders, questioning whether they recognise their own dark tendencies. By integrating psychological, organisational, and empirical perspectives, this chapter provides practitioners with a framework for recognising and addressing dark leadership in professional environments.
Keywords: Dark leadership; Measurement; Leadership assessment; Employee perceptions; Leadership traits (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-97103-7_3
Ordering information: This item can be ordered from
http://www.springer.com/9783031971037
DOI: 10.1007/978-3-031-97103-7_3
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().