Open AccessUSING A HYBRID DECISION-MAKING MODEL TO EVALUATE THE SUSTAINABLE DEVELOPMENT PERFORMANCE OF HIGH-TECH LISTED COMPANIES
Author(s) -
Yih-Chang Ou
Publication year - 2016
Publication title -
journal of business economics and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.485
H-Index - 37
eISSN - 1611-1699
pISSN - 2029-4433
DOI - 10.3846/16111699.2015.1110713
Subject(s) - ranking (information retrieval) , grey relational analysis , sustainable development , order (exchange) , business , analytic network process , triple bottom line , sustainability , decision making models , process (computing) , computer science , investment (military) , preference , corporate sustainability , decision support system , analytic hierarchy process , environmental economics , operations research , data mining , finance , economics , artificial intelligence , microeconomics , engineering , mathematical economics , law , ecology , biology , operating system , political science , politics
In this study, we use a triple bottom-line concept including economic, social and environmental performance as the sustainable development performance evaluation categories for companies. Moreover, an integrated model based on grey relational analysis, decision-making trial and evaluation laboratory, analytic network process and the technique for order preference by similarity to ideal solution is proposed for solving a corporate sustainability performance evaluation and ranking problem. In order to verify the proposed model, we adopt 34 high-tech listed companies in Taiwan as the research object to measure companies’ sustainable development performance and ranking in 2013. The results can be used as an important basis for management decision-making, and can also serve as reference for banks and investors when developing investment strategy.