Enterprise Risk Management in International Construction Operations

• Κύριοι συγγραφείς: Zhao, Xianbo (Συγγραφέας), Hwang, Bon-Gang (Συγγραφέας), Low, Sui Pheng (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2015.
• Θέματα: Engineering.; Production management.; Engineering economics.; Engineering economy.; Quality control.; Reliability.; Industrial safety.; Building > Superintendence.; Construction industry > Management.; Construction superintendence.; Construction Management.; Operations Management.; Engineering Economics, Organization, Logistics, Marketing.; Quality Control, Reliability, Safety and Risk.

 This book provides readers an understanding of the implementation of Enterprise Risk Management (ERM) for international construction operations. In an extended case study, it primarily focuses on Chinese construction firms (CCFs) based in Singapore. In this regard, the book explains the differences and similarities between Risk Management (RM), Project Risk Management (PRM) and ERM in the construction industry, and examines their linkages for international construction operations in a broader context. The explanation elaborates on how companies may adopt and implement RM, PRM and ERM as appropriate in their various operations, both in their home market as well as in overseas host markets. The book also reviews the whole spectrum of work relating to organizational behavior (OB) as one of the key underpinnings for companies to evaluate and implement ERM. It will benefit practitioners from the industry as well as academics interested in the implementation of ERM practices in international construction operations. 

 Introduction -- Chinese Construction Industry and Firms -- Risk Management and Enterprise Risk Management (ERM) -- Theories of Organizational Behaviour -- Conceptual Model: Linking ERM Implementation to Theories of Organizational Behaviour -- Research Methodology -- Data Analysis and Discussions -- Case Studies -- Developing a Knowledge-Based Decision Support System for ERM -- Conclusions and Recommendations.