LAUSR

The poultry industry is one of the most important economic activities in Iran. Due to the high consumption and rising energy prices in this industry, it is necessary to replace the current fuel sources with renewable sources such as solar energy to reduce production costs. Therefore, “considering the effective factors on the feasibility of utilizing solar energy in the poultry industry” is the main goal of this qualitative research. This research is an applied type of research, and (systematic) grounded theory is used. The data were collected by performing in-depth semi-structured interviews with the 13 agricultural experts in this field. Data analysis was done by using MAX qualitative data analysis version 12.3 software (maxqdav12.3) in three steps: open coding, axial coding, and selective coding to identify dimensions, main categories, subcategories, and concepts related to codes. The results of this study identified 32 initial codes and six main following factors were categorized: causal conditions, pivotal phenomenon, interventionist factors, contextual factors, strategies, consequences, and the relationship between them was analyzed. A model was finally designed based on the results of the study.