| dc.description.abstract | In recent years, corporate sustainable development strategies have become an important issue around the globe. The four management systems (i.e., quality management system, environmental management system, occupational health and safety management system, and social accountability management system) can help enterprises to create sustainable competitive advantages. In view of the fact that the shortage of resources — time, personnel, as well as money — rules most small and medium enterprises (SMEs), they cannot implement all the required management systems at the same time. This becomes a main challenge for SMEs to effectively allocate resources in implementing management systems. On the other hand, measuring and managing risk is one of the most critical factors for achieving the objectives of sustainable development. Since the revelation of the Enron scandal in 2001, enterprise risk management (ERM) has become increasingly important for any organization. A good ERM system is prerequisite to the successful execution of risk management. Many companies opted for the implementation of an ERM system as a way to control risk and enhance shareholder value. Given this worldwide trend, this raises the issue of how banks can better evaluate and select the optimal ERM system. Therefore, this study aims to develop two decision models that can assist SMEs and banks in evaluating and selecting appropriate systems for sustainable development and risk management. The first model assists SMEs in evaluating and selecting the optimal management system portfolio by integrating the Decision Making Trial and Evaluation Laboratory (DEMATEL) method, the Analytic Network Process (ANP) method, and the Zero-One Goal Programming (ZOGP) model. The second model assists banks in evaluating and selecting the best enterprise risk management system by integrating DEMATEL and ANP. First, the first decision model applies the DEMATEL method to quantify interrelationships among criteria and to convert these relationships into the influence-relation-map (IRM). Next, it applies the ANP method to build the network structure by using the IRM and to determine the relative weights of alternatives. Finally, it combines ANP weights with the ZOGP model to obtain the optimal management system portfolio by fully utilizing limited resources. In addition, this study illustrates the application of the first model through an example of a small papermaking company and provides several scenario analyses to verify the effectiveness of this model. The second decision model combines the DEMATEL method with the ANP method for evaluating and selecting the best ERM system and illustrates its application through an example of a small bank. Furthermore, upon comparing the results obtained with the second model to those obtained using the Analytic Hierarchy Process (AHP); it can be noted that interdependencies indeed affect real decision-making. Therefore, the major contribution of this study lies in the development of two decision models. These two models not only assist SMEs in evaluating and selecting the optimal management system portfolio, but also assist banking in evaluating and selecting the best risk management system.
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