Knowledge management for risk hedging by construction material suppliers

Jieh Haur Chen, Shu-Chien Hsu, Yung Hong Luo, Miroslaw J. Skibniewski

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)

Abstract

The cost of construction materials has significantly increased in recent years, and construction material suppliers have started to utilize investment derivatives to mitigate risks. While much knowledge has been established on the predictions of using derivatives for risk-hedging, little is known about the evaluation of the risk mitigation by analyzing financial status of construction material suppliers. This paper presents a knowledge-sharing model to determine whether risk mitigation based on the use of derivatives would be beneficial to the companies. This model is developed by first establishing a comprehensive database comprising 560 financial reports on business capacity of construction material suppliers, followed by combining the technique for order preference by similarity to ideal solution (TOPSIS) and k-nearest neighbor (KNN) pattern classification. The benefits of the research described include a knowledge-sharing mechanism in regard to the behaviors of related construction material suppliers with the goal of mitigating their collective risks through the use of derivatives.
Original languageEnglish
Pages (from-to)273-280
Number of pages8
JournalJournal of Management in Engineering
Volume28
Issue number3
DOIs
Publication statusPublished - 1 Jul 2012
Externally publishedYes

Keywords

  • Derivatives
  • KNN
  • Knowledge management
  • Risk management
  • TOPSIS

ASJC Scopus subject areas

  • Industrial relations
  • Engineering(all)
  • Strategy and Management
  • Management Science and Operations Research

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