چکیده:
The objective of the present research is to present a model of social manufacturing in the furniture industry. This study has been conducted in two phases; in the first qualitative phase, the grounded theory approach was employed to identify influential factors in social manufacturing, and in the second quantitative phase, the structural equation modeling (SEM) approach was utilized to assess conceptual model. Thus, this research is fundamental in purpose and descriptive-exploratory in method. The data collection tool in the qualitative part comprised interviews, with senior managers in the furniture industry constituting the statistical population. Purposeful sampling was employed for participant selection in this qualitative phase. In the quantitative section, a questionnaire served as the data collection instrument, with stratified random sampling as the chosen method. Based on the results of open and axial coding in the qualitative phase, axial codes such as decentralized structure, participatory space, social networks, network-based training, information and communication technologies, and research and development capacities were recognized as necessary infrastructures for social manufacturing. In the following, environmental monitoring, product commercialization, development of collaborative capacities. , intellectual property of ideas, evaluation of idea to product and development of networking are classified as social manufacturing strategies. The results of quantitative section indicated that the most significant strategy for implementing social manufacturing in the furniture industry is the development of networking. Additionally, based on the findings, the most crucial infrastructures for implementing the concept of social manufacturing in the furniture industry is the reinforcement of information and communication technologies.
خلاصه ماشینی:
The most important strategy for implementing social production in the furniture industry is the development of networking (path coefficient (β) equals 0/888 and t-value equals 57/044), which can be created through opening company boundaries, developing interactions and collaborations with stakeholders, increasing information exchange and collaborations through the creation of communication channels with scientific centers, developing the participation of human resources and customers, and similar items.
Considering the results obtained from the implementation of structural equation modeling in the second phase of the research and taking into account the highest path coefficient among the variables related to contextual factors, it was determined that the most important necessary context for implementing the concept of social production in the furniture industry is the strengthening of information and communication technologies (path coefficient (β) equals 0/973 and t-value equals 241/691).
In comparison with the results obtained from coding Path Path Coefficient Significance Reject/Confirm Moderating factors Learning challenges 0/312 3/373 Confirm Moderating factors Financial challenges 0/382 2/980 Confirm Moderating factors Managerial weaknesses 0/416 3/346 Confirm Moderating factors Motivational barriers 0/904 59/638 Confirm Moderating factors Production implementation challenges 0/877 39/438 Confirm Moderating factors Incompatibility with strategies 0/817 26/745 Confirm Moderating factors Awareness weaknesses 0/887 39/748 Confirm Contextual factors Decentralized structure 0/286 4/185 Confirm Contextual factors Participation spaces 0/918 83/072 Confirm Contextual factors Social networks 0/814 37/637 Confirm Contextual factors Networked training 0/865 45/129 Confirm Contextual factors Information and communication technology 0/973 241/631 Confirm Contextual factors Research and development capabilities 0/833 36/606 Confirm Consequences Network effectiveness 0/944 80/403 Confirm Consequences Organizational effectiveness 0/947 89/404 Confirm Consequences Product competitive advantage effectiveness 0/787 24/654 Confirm Based on the T-values, it was determined that contextual factors have a positive moderating role and moderating factors have a negative moderating role.
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