Artikel

Analysis of gender and leadership role competencies, perceptions and stereotypes in an organisational context

Powell (1990) contended that the differences between women and men leadership style is mostly based on perception and stereotype and concluded that there are "no differences" between men and women managers. This article evaluated causal linkages between employees' perception of both managerial and functional competencies and stereotype of male and female managers using a conglomerate in South Africa. The study adopted survey strategy using quantitative research design. Respondents comprised of 383 conveniently sampled lower and middle level managers using the non-probability sampling technique. Using structural equation modelling (SEM) (AMOS) and inferential statistics, our analysis showed a positive association to establish that male managers are more competent than female managers (t = 21.01, p 01), while the SEM path between perceptions and managerial competence was found to be significant (t = 001 .05). We found a non-significant path between perceptions and functional competence (t = .10, p .05). Similarly, the path between perceptions and stereotyping was found to be non-significant (t = .07 .05). This findings further extend contemporary literature on gender and leadership roles and perhaps provided some insights regarding the continued underrepresentation of women in executive and top management positions in various organisations.

Sprache
Englisch

Erschienen in
Journal: South African Journal of Business Management ; ISSN: 2078-5976 ; Volume: 48 ; Year: 2017 ; Issue: 2 ; Pages: 55-66 ; Cape Town: African Online Scientific Information Systems (AOSIS)

Klassifikation
Management

Ereignis
Geistige Schöpfung
(wer)
Samuel, O. M.
Mokoaleli, I.
Ereignis
Veröffentlichung
(wer)
African Online Scientific Information Systems (AOSIS)
(wo)
Cape Town
(wann)
2017

DOI
doi:10.4102/sajbm.v48i2.28
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Samuel, O. M.
  • Mokoaleli, I.
  • African Online Scientific Information Systems (AOSIS)

Entstanden

  • 2017

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