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MODS Metadata of Towards a genetic business code for growth in the transport industry.

roleTerm ( text )
author 
namePart
Vermeulen, J.H. 
roleTerm ( text )
author 
namePart
Veldsman, T.H. 
roleTerm ( text )
author 
namePart
Roodt, G. 
roleTerm ( text )
author 
namePart
Schurink, W.J. 
dateAccessioned
2008-09-01T09:42:46Z 
dateAvailable
2008-09-01T09:42:46Z 
dateIssued
2003 
text
1(1), 1-16. 
identifier ( uri )
http://hdl.handle.net/10210/954 
abstract
As with each living organism, it is proposed that an organisation possesses a genetic code. In the fast-changing business environment it would be invaluable to know what constitutes organisational growth and success in terms of such a code. To identify this genetic code a quantitative methodological framework, supplemented by a qualitative approach, was used and the views of top management in the Transport Industry were solicited. The Repertory Grid was used as the primary data-collection method. Through a phased data-analysis process an integrated profile of first- and second-order constructs, and opposite poles, was compiled. By utilising deductive and inductive strategies three strands of a Genetic Business Growth Code were identified, namely a Leadership Strand, Organisational Architecture Strand and Internal Orientation Strand. The study confirmed the value of a Genetic Business Code for growth in the Transport Industry. 
languageTerm ( rfc3066 )
en 
publisher
SA Journal of Human Resource Management 
accessCondition ( useAndReproduction )
Complies with the rights as specified by the publisher: http://sajhrm.co.za/ & http://creativecommons.org/licenses/by-nc-nd/2.5/za/ 
topic
Genetic code 
topic
Organisational growth 
topic
Organisational success 
topic
Genetic business growth code 
topic
Transport industry 
title
Towards a genetic business code for growth in the transport industry. 
genre
Article 

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http://hdl.handle.net/10210/24492
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