Decision-Making Trial Evaluation Laboratory Method Research Articles

A causal eco-industrial park hierarchical transition model with qualitative information: Policy and regulatory framework leads to collaboration among firms

Eco-industrial parks promise to reduce environmental and social impacts and improve the economic performance of industrial parks. However, the transition from industrial parks to eco-industrial parks is still not well understood. This study contributes to developing valid hierarchical eco-industrial park transition attribute sets with qualitative information, as prior studies lack an exploration of the attributes in the transition of eco-industrial parks in Hungary. In nature, eco-industrial park transition attributes have causal and hierarchical interrelationships and are described with qualitative information. The assessment involves an analysis of the industrial symbiosis principles by using linguistic preferences. However, multiple attributes are involved in the assessment; therefore, this study proposes the Delphi method to develop a valid attribute set and applies fuzzy set theory to translate qualitative information into crisp values. The fuzzy decision-making trial evaluation laboratory method is used to visualize the attributes’ causal interrelationships under uncertainties. The results indicate that the policy and regulatory framework leads to collaboration among firms in the eco-industrial park transition model. In practice, price reforms, management commitment, strategic planning, cognitive barriers and the integration of external information are the practical criteria for improvement. Theoretical and practical implications are also discussed.

A DEMATEL method in identifying design requirements for mobile environments: students’ perspectives

The understanding of the design of mobile phones is somewhat different from other devices and products. This is properly due to the limited design capacity of mobile phones which need to be maintained within a small screen. One aspect for consideration is the relationship between certain design elements and users’ usage behavior and perception of the device. This study examined the feasibility of multiple-criteria decision making, known as the decision-making trial evaluation laboratory (DEMATEL), for identifying the key design patterns necessary for promoting users use of mobile devices. Precisely, we studied users’ direct, indirect, and interdependent behaviors in relation to seven mobile design patterns, including dealing with data, providing input, navigation, notification, personalization, screen interaction, and social activity. A DEMATEL model was generated for 75 students using these dimensions. The results showed that patterns corresponding to users’ interactions with the screen, dealing with data, and navigation were the core factors that can potentially aid the design of mobile environments. Our findings can be used by educational designers of mobile applications to form better design scenarios that are closely connected to a specific task and setting.

Influence Factors Identification of the Effective of Human Capital Allocation on Fuzzy DEMATE

With the development of Knowledge Economy and the transforming of economic growth pattern, human capital has aroused extensive attention, particularly the effective of human capital, has been the academic focus of the study in recent years. First, the index system of factors of the effective of human capital allocation is constructed; then, corresponding analysis model is suggested based on the Fuzzy DEMATEL (Decision Making Trial Evaluation Laboratory) method. Finally, the total degrees of given and received influences, the degree of cause and the importance grade are analyzed.