Research Articles

This research aimed to provide a comprehensive model to identify the factors that affect growth in production within the wooden furniture industry in the post-corona era. A mixed research method was used, gathering both quantitative and qualitative data. The statistical population consisted of experts and academics, with the effective factors being explored through interviews. In the qualitative section, through thematic analysis and the use of MAXQDA software, 10 themes were identified after 10 interviews. To determine the final indicators, a researcher-made questionnaire was distributed to five experts, resulting in the presentation of the conceptual model. In the quantitative section, 120 individuals were selected (112 responded). The questionnaire, including the final indicators, was then distributed to them. In this section, the SEM method and Smart-Pls software were used for factor analysis. The results indicated that factors such as the political environment, supply chain, and improvement of the business climate had the greatest impact on production growth. A significant relationship was found between factors influencing technological developments, productivity, procedural modifications, monetary policies, financial policies, rules and regulations, political environment, administrative bureaucracy, improvement of the business climate, supply chain, and production growth in the wooden furniture industry in Iran during the post-corona era.