title: Using hybrid method to evaluate the green performance in uncertainty.
abstract: Green performance measure is vital for enterprises in making continuous improvements to maintain sustainable competitive advantages. Evaluation of green performance, however, is a challenging task due to the dependence complexity of the aspects, criteria, and the linguistic vagueness of some qualitative information and quantitative data together. To deal with this issue, this study proposes a novel approach to evaluate the dependence aspects and criteria of firm's green performance. The rationale of the proposed approach, namely green network balanced scorecard, is using balanced scorecard to combine fuzzy set theory with analytical network process (ANP) and importance-performance analysis (IPA) methods, wherein fuzzy set theory accounts for the linguistic vagueness of qualitative criteria and ANP converts the relations among the dependence aspects and criteria into an intelligible structural modeling used IPA. For the empirical case study, four dependence aspects and 34 green performance criteria for PCB firms in Taiwan were evaluated. The managerial implications are discussed.
authors.affiliation: Department of Business Innovation & Development, College of Management, MingDao University, Changhua, Taiwan. ml.tseng@msa.hinet.net
authors.forename: Ming-Lang
authors.initials: ML
authors.lastname: Tseng
authors.forename: Lawrence W
authors.initials: LW
authors.lastname: Lan
authors.forename: Ray
authors.initials: R
authors.lastname: Wang
authors.forename: Anthony
authors.initials: A
authors.lastname: Chiu
authors.forename: Hui-Ping
authors.initials: HP
authors.lastname: Cheng
mesh_terms: D004784:Environmental Monitoring / Q000379:methods*; D017143:Fuzzy Logic; D035501:Uncertainty