محمدامیر سالاری کمانگر

Recently, value networks are one of the new approaches to success in the fields of business management. The purpose of this research is to identify the factors affecting the value network of renewable energy and its consequences in the consumption sector of the industry in the country and to design its model using a mixed method.

This research is exploratory in nature and developmental in terms of purpose and has an inductive approach. The method of conducting this research, which is carried out with a mixed approach and is carried out in two qualitative and quantitative parts, in the qualitative part is used, and in the quantitative part, inferential statistics and structural equation modeling and partial least squares approach are used for model . To collect qualitative data from semi-structured and in-depth interviews with 24 experts in the field of industry and renewable energy, non-probability snowball method was used and in a small part of the available non-probability sampling, according to the calculations of G Power software, the number 317 samples (persons) of industry and renewable energy activists have been used. In this research, it has been done with the main purpose of presenting and testing the renewable energy value network model in the consumer sector of the industry.

The results of the research showed that focusing on value creation through value creation strategies based on cooperation can help decision-making managers in renewable energy management areas to achieve their strategic goals

The phenomenon of value co-creation in the form of a value network is considered one of the new approaches to success in business management. The purpose of this research is to present a model that introduces different dimensions of the value network of renewable energies in the consumption sector of the industry.

The current research is of a qualitative type, in terms of exploratory nature, and was conducted by the data-based conceptualization method. In order to collect data, semi-structured and in-depth interviews with 24 experts and activists in the field of renewable energy and industries were used and they were selected in a non-probabilistic snowball method.

Qualitative data were collected based on Strauss and Corbin's (1998) data-based conceptualization coding method. To evaluate the validity of this research, Guba and Lincoln's (1994) validation technique and to measure the reliability of the research, the evaluation of the within-subject agreement of two coders were used. Total of 171 indicators and 24 categories in 6 dimensions were obtained for the model.

The causal conditions of the renewable energy value network are social responsibility, competitive advantage in the macro view, energy imbalance, and support for value network projects. Background conditions are political, economic, and cultural conditions. Intervening conditions are high-handed documents, ability, and competence of managers and consequences, sustainable development, economic development, national security, non-operating defense, export expansion, quality of life, international status, technology development, social welfare and product development, and market.