Artikel
Towards a more scientific way of studying multicultural management
In recent years, the management of cultural diversity has become a popular topic within management in general and organisational behaviour and human resource management in particular. The progressive movement of the world into the post-modern era calls for a comprehensive, practical and realistic strategy to change not only the demographics of organisational members and their attitudes, but also the way in which multicultural organisations are managed. Controversies and uncertainties regarding current outcomes still prevail, possibly because of a lack of application of more scientific management styles and methodologies. Management approaches often appear to be based on unfounded assumptions, superficial observations and simplistic assessments. As a result, the derived outcomes are incongruent, oversimplistic, unrealistic and unreliable. To ensure the success of organisations in the growing global market, managers need to establish an effective approach to managing cultural diversity. This article examines some of the traditional concepts of culture and cultural diversity and employs illustrative empirical data to suggest a more scientific approach to the measurement of cultural diversity and its impact on the work environment and management.
- Language
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Englisch
- Bibliographic citation
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Journal: South African Journal of Business Management ; ISSN: 2078-5976 ; Volume: 33 ; Year: 2002 ; Issue: 3 ; Pages: 17-26 ; Cape Town: African Online Scientific Information Systems (AOSIS)
- Classification
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Management
- Event
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Geistige Schöpfung
- (who)
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Rijamampianina, R.
Maxwell, T.
- Event
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Veröffentlichung
- (who)
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African Online Scientific Information Systems (AOSIS)
- (where)
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Cape Town
- (when)
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2002
- DOI
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doi:10.4102/sajbm.v33i3.702
- Handle
- Last update
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10.03.2025, 11:44 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Rijamampianina, R.
- Maxwell, T.
- African Online Scientific Information Systems (AOSIS)
Time of origin
- 2002