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Key factors influencing the success of industrial companies in Libya

Tarbaghia, Tarek M.S.
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End of Embargo
Supervisor
Betts, James
Keywords
Industrial performance, Industrial success, Libya, Public sector, Private sector, Multiple discriminate analysis, Great man made river project
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Creative Commons License
The University of Bradford theses are licenced under a Creative Commons Licence.
Peer-Reviewed
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Accepted for publication
Institution
University of Bradford
Department
Department of Industrial Technology
Awarded
1995
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PhD Thesis
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Additional title
An Investigation of Both Public and Private Sector Industrial Companies in Libya and An Analysis of Factors lnfluencing Their Success
Abstract
This study is concerned with the relationship between the skills and strategies employed by Libyan companies and their performance. An extensive survey of two hundred private and public sector Libyan companies was carried out. The response rate of the companies was one hundred per cent. The general nature of the questionnaire used meant that not all the questions asked were applicable to all companies. The data collected has been extensively analysed using the Statistics Package for Social Scientists (SPSS). With this package data missing from any particular question is treated as though the questionnaire is incomplete and all data from such a company is consequently disregarded by the software. The "missing data" reduced the number of valid questionnaires from two hundred to ninety three of these fifty one were from the private sector and forty two from the public sector. The questionnaire covered some one hundred and fifty topics, when questions together with subsections are taken into consideration. The most appropriate method of identifying differences in the behaviour of the two sectors is by the use of Multiple Discriminant Analysis (MDA). An MDA programme is available on SPSS. The output of this analysis led to the identification of seven dimensions in which the two sectors displayed significantly different behaviour. These seven dimensions are reported and analysed in a univariate manner. The study then goes on to suggest reasons why the two sectors behave differently in regard to these seven dimensions. Successful companies whether in the private or public sector are also identified using MDA The discriminant function in this case also contained seven variables. These seven dimension are also analysed in a univariate manner. This study describes the history of Libyan Industry and the current melieu in which Libyan Companies operate. It gives an explanation of MDA and then discusses the outcome of the multivariate analysis of the data collected.
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https://bradscholars.brad.ac.uk/handle/10454/20794
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PhD
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