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89

臺大管理論叢

28

卷第

2

and so on, to improve supply quality and strengthen the management capacity of suppliers

to produce and process goods, thereby increasing the stability of component supplies.

When the management ability of suppliers is increased, suppliers will be able to purchase

enterprises of small quantities and delivery mode, and reduce the inventory, sluggish

costs, and other risk items of procurement business.

Our results from the individual case can enable decision making and quantify the

value at risk of a supplier to facilitate management through the supply chain risk

management system established in this study. This will help to easily reach a consensus on

the key points of supply chain risk improvement and use the resources to focus on

resolving major concerns within an organization.

4. Research Limitations/Implications

4.1 Research Limitations

This study included only interviews and questionnaires with industry experts for the

evaluation. A follow-up could be conducted with the five major car factory experts

interviewed earlier to increase the sample size and measure the key risks more completely

and precisely. The study results may not be applicable for all automotive industry supply-

chain risk assessments and follow-up patterns based on this framework; therefore, the

risks for individual automotive industry suppliers involved in the procurement of

components from China should be evaluated.

4.2 Research Implications

Supply chain risk caused by cooperation with suppliers and individual differences in

business cultures applies to all enterprises without a risk management model. Supply

chain risk management should be practiced by suppliers, enterprises, and collaborators

simultaneously to effectively reduce the risk. We recommend that enterprises conduct

research on processes and application tools to construct an enterprise risk management

model.

5. Originality/Contribution

Major contributions of this study include addressing the supply chain risk factors and

identifying complex relationships between risk and opportunity, coupled with the

industrial environment, partners, and internal governance differences in dynamic

situations. This study also developed a DANP method for building a supply chain risk