Exploring the influential factors of manufacturers’ initial intention in applying for the green mark ecolabel in Taiwan

The Green Mark eco-label constitutes an essential program introduced by Taiwan’s Environmental Protection Administration to support environmental protection. In the manufacturing industry, the Green Mark eco-label is intended to enable differentiating between manufacturers that apply green processes and those that do not. This paper presents an assessment model for identifying manufacturers’ initial intention to apply the Green Mark eco-label. The model was derived from the certification process flow. A total of 200 structured questionnaires were distributed to manufacturers in Taiwan, and 172 responses were retrieved. The model was analyzed by applying structural equation modeling, and the correlation of review process and end certification process exhibited the strongest correlation. Improving the document verification stage is highly likely to increase the overall initial intention ofmanufacturers to participate in the Green Mark eco-label program. The overall certification process contributed 16% to the total initial intention of manufacturers to apply the Green Mark eco-label to their products.

[1]  Tomohiro Shishime,et al.  Sustainable Production: Practices and Determinant Factors of Green Supply Chain Management of Chinese Companies , 2012 .

[2]  S. Bamberg,et al.  Twenty years after Hines, Hungerford, and Tomera: A new meta-analysis of psycho-social determinants of pro-environmental behaviour , 2007 .

[3]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[4]  Reny Nadlifatin,et al.  An Assessment Model of Indonesian Citizens’ Intention to Participate on Environmental Impact Assessment (EIA): A Behavioral Perspective☆ , 2015 .

[5]  Elena Fraj,et al.  Ecological Consumer Behaviour: An Empirical Analysis , 2007 .

[6]  L. Cronbach.  Coefficient alpha and the internal structure of tests , 1951 .

[7]  Andrew M. Farrell,et al.  Factor analysis and discriminant validity:a brief review of some practical issues , 2009 .

[8]  Jaejeung Rho,et al.  Extending the TAM for a t-commerce , 2005, Inf. Manag..

[9]  Jaeki Song,et al.  An investigation of mobile learning readiness in higher education based on the theory of planned behavior , 2012, Comput. Educ..

[10]  Klaas Sijtsma,et al.  Invited discussion of Cronbach (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297-334 (26,889 citations in Google Scholar as of 1/1/2016) , 2016 .

[11]  Chih-Hsing Chu,et al.  Application of data quality indicator of carbon footprint and water footprint , 2015 .

[12]  R. P. McDonald,et al.  Principles and practice in reporting structural equation analyses. , 2002, Psychological methods.

[13]  T. Gärling,et al.  PSYCHOLOGICAL DETERMINANTS OF ATTITUDE TOWARDS AND WILLINGNESS TO PAY FOR GREEN ELECTRICITY , 2008 .

[14]  David J. Ketchen,et al.  AN ASSESSMENT OF THE USE OF STRUCTURAL EQUATION MODELING IN STRATEGIC MANAGEMENT RESEARCH , 2004 .

[15]  Ritsuko Ozaki,et al.  Pro‐environmental products: marketing influence on consumer purchase decision , 2008 .

[16]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[17]  Michael R. Mullen,et al.  Structural equation modelling: guidelines for determining model fit , 2008 .

[18]  Reny Nadlifatin,et al.  A study of student behavior in accepting the Blackboard Learning System: A Technology Acceptance Model (TAM) approach , 2014, Proceedings of the 2014 IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD).