African Journal of
Business Management

  • Abbreviation: Afr. J. Bus. Manage.
  • Language: English
  • ISSN: 1993-8233
  • DOI: 10.5897/AJBM
  • Start Year: 2007
  • Published Articles: 4131

Full Length Research Paper

The relationship between some demographic variables and leadership effectiveness among local government managers in South Africa

Clement Bell
  • Clement Bell
  • Department of Industrial Psychology, University of Fort Hare, South Africa.
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Roelf Rvanniekerk
  • Roelf Rvanniekerk
  • Department of Psychology, University of Nelson Mandela Metropolitan, South Africa.
  • Google Scholar
Petrus Nel
  • Petrus Nel
  • Department of Industrial Psychology, University of the Free State, South Africa.
  • Google Scholar


  •  Received: 29 November 2013
  •  Accepted: 26 January 2015
  •  Published: 28 January 2015

Abstract

Scholars have argued that demographic variables are critical factors that could also be used together with other factors to explain the variances in the behaviour of effective leaders. They are very significant to virtually all kinds of modern organizations. The current workforce is increasingly getting younger and highly educated. And an increasing proportion of female managers are also found in today’s organizations. The present study therefore, explored the relationship between some demographic variables and leadership effectiveness among local government managers in Eastern Cape Province. The data were collected from a sample of 222 local government managers using a self-designed biographical and occupational data questionnaire, and a leadership effectiveness questionnaire adopted from Fleenor and Bryant. Leadership effectiveness was measured as a unitary concept. The results indicated that gender, age and education have a positive and significant relationship with leadership effectiveness. The present study therefore, recommends that, local government departments should consider these demographic variables when assigning leadership responsibilities to managers.

 

Key words: Demographic variable, gender, age, education, leadership effectiveness.