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A risk and reliability management appraisal of company failure. An application of risk and reliability managment methodology to the analysis and identification of pattern, causes and symptoms of company failure, including formation of a Data Bank for failed companies.

The principal objective of the research is to diagnose the causes
and symptoms of company failure and to investigate whether a pattern
of failure could be determined to enable management and other interested
parties to identify the risks threatening the survival of the company.
The current research divides into three main areas
1. Development of a Data Bank and a study of the age structure of
failed companies.
2. An application of reliability management techniques to the analysis
of company failure data.
3. Identification of causes and symptoms of company failure based on
risk management methodology.
Data were collected and analysed for approximately 2000 manufacturing
companies which had undergone either compulsory or creditors' voluntary
liquidation during the period 1970 to 1977. A Data Bank was established
with classified information for 16 different groups of companies making
up the manufacturing industry. The classification was based on the Standard
Industrial Classification. A study of the age structure of each group was
carried out and compared with previous studies.
Reliability methodology was applied to the analysis of company
failure data for the identification of the failure pattern. Best distributions
describing failure behaviour of companies were also determined
and the validity and application of various statistical distributions were
examined. A detailed examination of the histories of some large companies
which failed during the period 1970-1977 was carried out. Risks, weaknesses
and possible causes and symptoms of failure were investigated and discussed.
A list of the causes of failure emerged from the analysis is drawn and the
non-financial symptoms are highlighted in a tabular form. Illustrative
models for the appraisal of change and identification of causes and
symptoms are developed and critical factors discussed.
Finally, general conclusions arising out of the research are-presented,
along with recommendations for further research and study.

Identiferoai:union.ndltd.org:BRADFORD/oai:bradscholars.brad.ac.uk:10454/3905
Date January 1979
CreatorsRoosta, Ahmad
ContributorsKeller, A.Z.
PublisherUniversity of Bradford, Postgraduate School of Studies in Industrial Technology
Source SetsBradford Scholars
LanguageEnglish
Detected LanguageEnglish
TypeThesis, doctoral, PhD
Rights<a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>.

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