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 (maxqdav_12.3) 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.

家禽业是伊朗最重要的经济活动之一。由于该行业的高消耗和能源价格上涨，有必要用可再生资源（例如太阳能）代替当前的燃料源以降低生产成本。因此，“考虑家禽业利用太阳能可行性的有效因素”是本定性研究的主要目标。这项研究是一种应用型研究，并且使用（系统的）扎根理论。通过与该领域的13位农业专家进行了深入的半结构化访谈，收集了这些数据。使用MAX定性数据分析版本12.3软件（maxqdav _{12.3）进行}数据分析）分为三个步骤：公开编码，轴向编码和选择性编码，以识别尺寸，主要类别，子类别和与代码相关的概念。这项研究的结果确定了32个初始代码，并对以下六个主要因素进行了归类：因果条件，关键现象，干预主义因素，情境因素，策略，后果，并分析了它们之间的关系。最后根据研究结果设计了一个模型。