A Conceptual Model of green production with an ISM Approach

Given that in today's world, factors such as population growth, increasing efforts to achieve economic growth and production systems to increase production and achieve competitive advantage lead to the loss of natural resources, global warming, climate change, Natural disasters and ultimately environmental degradation and green production has been proposed as an effective factor in reducing environmental pollution and human risks as well as increasing competitive advantage and profitability for organizations. This study aims to design a conceptual model of green production with a modeling approach. An interpretive structure has been developed.

In this study, which is synthetic and inductive-deductive in terms of data collection method, and was conducted in 1400, and 12 industrial management specialists at the university level participated as panel members in the quality department. In fact, in the qualitative section, which used meta-synthesis and Delphi analysis, the aim was to identify the themes of green production and then in the quantitative section, with the participation of 16 managers of knowledge-based companies in the green production section, the propositions identified in ISM templates should be graded based on influential priority. Therefore, relying on meta-synthesis analysis, the first 12 studies were reviewed as a basis for evaluation to determine the themes of green production based on critical evaluation, based on which eight themes were selected and entered into Delphi analysis in a checklist manner to determine theoretical adequacy. During the two stages of Delphi analysis, all eight identified themes of green production entered the quantitative analysis section, i.e., structural interpretive analysis.

The results showed that the most influential components of green production of knowledge-based companies are the five components of water (C1), energy (C2), natural resources (C3), capital (C5), and labor (C6), which is at the third level of the proposed model. Also, a Mick Mac analysis as a complementary interpretive structural analysis was performed to better understand the research topic.

The results showed that the factors of energy consumption, water consumption, labor, capital, and raw materials are important factors that any change in them will cause changes in other variables and on the other hand, GDP is with the low impression, and greenhouse gases and technology is the most impression variable.