A hybrid risk management model: a case study of the textile industry

Purpose - The purpose of this paper is to propose a hybrid risk management model, focusing on identification and evaluation of potential risk scenarios in industry enterprise level, which assists in preventing negative impacts from adverse risks.Design methodology approach - The proposed hybrid risk...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of manufacturing technology management 2012-01, Vol.23 (5), p.665-680
Hauptverfasser: Lai, Ivan K.W, Lau, Henry C.W
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Purpose - The purpose of this paper is to propose a hybrid risk management model, focusing on identification and evaluation of potential risk scenarios in industry enterprise level, which assists in preventing negative impacts from adverse risks.Design methodology approach - The proposed hybrid risk management model embraces the concept of hierarchical holographic modelling (HHM), enterprise-wise risk management (ERM) and risk filtering, ranking, and management (RFRM) that could be applied in real commercial settings. A case study is conducted in order to validate this comprehensive theoretical model.Findings - This study shows the potential risks that may be faced by the textile industry in Hong Kong. Corresponding responses are suggested for the risks in different levels, which provide a systematic approach in managing the risks.Research limitations implications - The use of a single case study may limit the generalizability of the findings.Practical implications - The risks suffered by the textile industry are identified through the case study, which provide an insight for better planning and preparation, so as to gain a better chance of success than that of competitors.Originality value - The proposed model does not only provide theoretical merits to the literature but can also be applied to different industries for risk management practices.
ISSN:1741-038X
1758-7786
DOI:10.1108/17410381211234453