Analysis of the Actors’ Communication Network in Knowledge and Innovation System of Handmade Silk Carpet Industry in Rural Areas of Zanjan Province

Authors
1 Department of Agricultural Extension and Education, Faculty of Agriculture, Tarbiat Modares University, Tehran, Islamic Republic of Iran.
2 Department of Agricultural Management and Development, Faculty of Agriculture, University of Tehran, Islamic Republic of Iran.
Abstract
This research was conducted to study the communication network of carpet weavers within the Knowledge and Innovation System (KIS) of handmade silk carpet production in rural areas. Data were gathered through interviews with 270 rural households in Zanjan Province, specifically in the Tarom, Khodabandeh, and Zanjan counties in Iran, utilizing a structured questionnaire. Social Network Analysis (SNA) in UCINET was employed to examine the interactions among these actors, and graphical representations were created using Net Draw. The results revealed that the network's density varied across different levels, showing weakness in some cases, moderate strength in others, and strong connections in select instances. The findings suggest that interactions within the network of handmade silk carpet weavers are predominantly confined to local connections. Given that production occurs under a family-owned production system, and weavers acquire their skills from Family Members (FMs) or other individuals in their villages, their interactions are primarily concentrated on these "FMs" and Weavers in the same Neighborhood, Village, or with Kinship Relations (WNVKRs). Therefore, considering the status of the weavers' communication network and its importance in the knowledge and innovation system, it is suggested that communication between the weavers and other key actors is established through training courses, workshops, festivals and such programs. Thus, the weavers learn the roles and duties of other actors in the hand-woven carpet production chain and can refer to them when needed.

Keywords

Subjects


  1. 1. Ahmadifard, E., & Karamidehkordi, E. (2018). Information Chain of rural silk hand woven carpet producers in the Zanjan Township. Journal of Agricultural Education Administration Research, 10(44), 55-73.
    2. Akbariarbatan G, Abbasi R. (2020). Analyzing the challenges of hand_made carpet weavers during the economic sanctions period. goljaam; 15 (36) :199-218.
    3. Gougheri, H. K., Moghaddam, K. R., & Rezaei, A. (2018). Social network analysis, a new approach to explain pluralistic extension and education system: the case of Kerman Province. Iranian Journal of Agricultural Economics and Development Research (IJAEDR), 49(2).
    4. HaghighatNaeini, G., Houdsony, H., Ashrafi, M., & Golzari, N. (2022). Identification and Capacity Assessment of Managerial Actors of Urban Regeneration and Renewal at National and Local Level (City of Tehran) and Analysis of Their Correlation Network. Journal of Architecture and Urban Planning, 14(35), 5-26.
    5. Mohammadi Ostadkelayeh A, Bayat N, Khorasani M, Nik Ravesh R. (2017). Identify and analyze the factors affecting the carpet industry downturn in rural areas (Case Study: Turkmen carpets - Gonbad-e Qabus Township). goljaam; 12 (30) :67-82.
    6. MirKatouli, J.. (2009). A Study of Economic-Socil Reasons for The Quality Decline of Turkman Carpets. Geographical Research, 24(3 (94)), 51-66.
    7. Bródka, P., Skibicki, K., Kazienko, P., & Musiał, K. (2011). A degree centrality in multi-layered social network. Paper presented at the 2011 International Conference on Computational Aspects of Social Networks (CASoN).
    8. Freeman, L. C. (1977). A set of measures of centrality based on betweenness. Sociometry, 40(1), 35-41. doi:https://doi.org/10.2307/3033543
    9. Kashyzadeh, K. R., & Darounkola, A. H. (2021). Application of taguchi approach to forecast the wages of persian silk carpet weavers. International Journal of Engineering and Management Research, 11(3), 67-72. doi:https://doi.org/10.31033/ijemr.11.3.11
    10. Leon, R. D., Rodríguez-Rodríguez, R., Gómez-Gasquet, P., & Mula, J. (2017). Social network analysis: A tool for evaluating and predicting future knowledge flows from an insurance organization. Technological forecasting and social change, 114, 103-118. doi:https://doi.org/10.1016/j.techfore.2016.07.032
    11. Ruhnau, B. (2000). Eigenvector-centrality—a node-centrality? Social networks, 22(4), 357-365. doi:https://doi.org/10.1016/S0378-8733(00)00031-9
    12. Valeri, M., & Baggio, R. (2021). Italian tourism intermediaries: A social network analysis exploration. Current Issues in Tourism, 24(9), 1270-1283.
    13. Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and applications.
    14. Wey, T., Blumstein, D. T., Shen, W., & Jordán, F. (2008). Social network analysis of animal behaviour: A promising tool for the study of sociality. Animal behaviour, 75(2), 333-344. doi:https://doi.org/10.1016/j.anbehav.2007.06.020
    15. Zhang, J., & Luo, Y. (2017). Degree centrality, betweenness centrality, and closeness centrality in social network. Paper presented at the Proceedings of the 2017 2nd International Conference on Modelling, Simulation and Applied Mathematics (MSAM2017)
    16. Cross, R. L., Cross, R. L., & Parker, A. (2004). The hidden power of social networks: Understanding how work really gets done in organizations. Harvard Business Press.
    17. Egharloo, B. A. S., & Allameh, M. (2022) Place of Color and Motif in Evaluating Hand-woven Carpets. Journal of Art Faculty, Shahid Chamran University of Ahvaz Place of Color and Motif in Evaluating Hand-woven Carpets.26(10), 52-65.
    18. Genç, R. (2017). The importance of communication in sustainability & sustainable strategies. Procedia Manufacturing, 8, 511-516.
    19. Genc, R. (2009). Profesyonel Yöneticinin Yöntem ve Kavramları. Istanbul: Seckin Yayınevi
    20. Gloor, P. A. (2006). Swarm creativity: Competitive advantage through collaborative innovation networks. Oxford University Press.
    21. Gholifar, E., Abbasi, E., Pezeshkirad, G., Salehi, H., & Rezaei, A. (2018). Analyzing information and interaction network among active actors in aquaculture activities management in Alborz damwatershed in Mazandaran province. Iranian Agricultural Extension and Education Journal, 14(1).