تحلیل راهبردهای توسعه صنعت ابریشم: کاربردی از مدل SWOT-ANP

نوع مقاله : مقاله پژوهشی

نویسنده

استادیار، گروه اقتصاد کشاورزی، دانشگاه تربت حیدریه، خراسان رضوی، تربت حیدریه، ایران

چکیده

صنعت ابریشم دارای مزیت‌هایی است که می‌تواند نقشی به ‏سزا در صادرات غیرنفتی کشور داشته باشد. در مطالعه حاضر، بر پایه یک برنامه‌­­ریزی راهبردی، راهبردهایی برای توسعه صنعت ابریشم در کشور ارائه شد تا از آن طریق، بتوان امکان توسعه اقتصادی را به‌ویژه در بخش کشاورزی فراهم آورد. بدین منظور، از تجزیه‌وتحلیل SWOT-ANP استفاده شد. نمونه آماری تحقیق نیز از طریق اجماع قضاوت‌های 36 نفر از خبرگان آشنا به عملیات و محیط داخلی و خارجی این صنعت در سال 1398 در استان‌های خراسان رضوی و گیلان حاصل شد. نتایج به‌دست‌آمده نشان داد که راهبرد «بازسازی و تقویت ادغام نوغان‌داری در زنجیره ارزش ابریشم» بهترین راهبرد انتخابی است. بر اساس این یافته‌ها، تشکیل یک سازوکار تأمین مالی برای حمایت از توسعه این صنعت، ارائه الگویی مناسب برای افزایش مقیاس تولید نوغان‌داری، دستیابی به ادغام‌های عمودی بزرگ‌تر در بین فعالان، مدیریت اطلاعات تجاری و تولیدی مربوط به تولید ابریشم، اجرای مدل‌های کسب‌وکار نوآورانه و کشاورزی قراردادی و برقراری ارتباط قوی پیشین و پسین با صنعت نساجی و گردشگری به‌منظور تقویت و نیز خلق فرصت‌های بازاری در قالب مجموعه راهبردهای پیشنهادی ضروری شناخته شد.

کلیدواژه‌ها


عنوان مقاله [English]

The analysis of silk industry development strategies: an application of SWOT-ANP model

نویسنده [English]

  • Toktam Mohtashami
Assistant Professor, Department of Agricultural Economics, University of Torbat Heydarieh, Razavi Khorasan, Torbat Heydarieh, Iran
چکیده [English]

Introduction: The silk industry can play a significant role Iran's non-oil exports. In a situation where leaving the rural regions is an important concern in the country and causes imbalance in employment and income opportunities in urban and rural areas, it is necessary to pay attention to the survival of this industry. Therefore, it seems necessary to evaluate the possible strategies for the improvement and growth of the silk industry by identifying the effective internal and external factors in the industry and introduce the most appropriate one. The studies conducted so far regarding the silk industry have had an experimental approach and the introduction of a strategic framework for the development of this sector has not been considered. Considering the above-mentioned points and taking into account the study gap regarding the introduction of a strategic framework for the development of the silk industry, this study aimed at developing a strategic model for the silk industry in order to develop this sector.
Method: In this research, in order to determine the priority of the proposed strategies for the development of the silk industry, SWOT analysis along with ANP was used. In this regard, a group of experts, by analyzing the external and internal environments of the industry, identified controllable and uncontrollable sub-factors affecting the success of this industry. The determined sub-factors have strategic importance. Using SWOT sub-factors, SWOT matrix and alternative strategies were formed. Therefore, the silk industry was recognized as an industry with four strategies, including: Strength-Opportunity (SO) strategies, which is the proper use of opportunities by exploiting the strengths of the industry; Weakness-Opportunity (WO) strategies, which seeks to properly exploit the environmental opportunities with respect to the industry's weaknesses; Strength-Threat (ST) strategies, which are related to reducing or eliminating the effects of environmental threats through the optimal use of the industry strengths; and finally, Weakness-Threat (WT) strategies, which reduce the effects of environmental threats by considering the industry's weaknesses. The intended steps for using the ANP model in this research were based on the proposed algorithm of Yuksel and Dagdeviren (2007). The intended statistical population included 36 experts, local officials and experts in the field of silk in Razavi Khorasan and Guilan provinces of Iran, and due to their limited numbers, all people were selected as a sample. The main tool of data collection was completing the questionnaire and all the collected information was obtained through the consensus of experts' judgments. The validity of the questionnaires as well as the reliability of its different parts was also examined using Cronbach's alpha method, which showed high reliability (0.78 and 0.91).
Results: The concerned SWOT-ANP model consisted of four levels. The first level was related to choosing the best strategy and the second level was related to the main factors of SWOT analysis. The SWOT sub-factors were in the third level of the model; this level included six sub-factors for the strengths factor, six sub-factors for the weaknesses factor, five sub-factors for the opportunities factor and six sub-factors for the threats factor. Assuming the absence of mutual dependence between the main factors of SWOT, the matrix of pairwise comparisons of the main factors was formed by experts using a scale of 1 to 9, and by analyzing the matrix of paired comparisons, the weight vector (relative importance) was obtained. In the third step, the interdependencies between the main factors were determined by examining the effect of each factor on the other factor using pairwise comparison matrices. Interdependencies between the main factors tend to be obtained after analyzing the internal and external environments of the organization. So, in the next step, the interdependence weights of the main factors were obtained through the product of the dependence matrix of the main factors in the relative importance of the main factors, after normalization. After this stage, the relative importance of sub-factors of SWOT was obtained using the matrix of paired comparisons. The total weights of sub-factors were obtained by multiplying the weights of main factors by the relative weights of sub-factors. In the seventh step, the priority of alternative strategies was calculated according to each sub-factor of SWOT using the matrix of paired comparisons. According to the obtained weights, the strategy of rebuilding and strengthening the integration of Silkworm breeding in the silk value chain had the most weight and was chosen as the best strategy. Reconstruction of Silkworm breeding activities is aimed at reconstruction of the internal production of silk thread as the primary basis in the production of silk textiles. This will be achieved by strengthening investment in Silkworm breeding, increasing awareness of silkworm breeding and developing mulberry farms.
Conclusions: In this study, based on a strategic planning, strategies were presented for the development of the silk industry in the country so that economic development can be provided, especially in the agricultural sector. To this end, SWOT-ANP analysis was used. The four strategic goals presented in this research, are as follows: Strengthening the empowerment and institutional support of the silk industry; Facilitating market entry and strengthening high-value silk products; Developing skills and improving product quality, design and innovation in carpet and textile subsectors; and Restructuring and strengthening the integration of Silkworm breeding in the silk value chain. The results showed that the strategy of "rebuilding and strengthening the integration of silkworm breeding in the silk value chain" is chosen as the best strategy. Based on the study findings, forming a financing mechanism to support the development of this industry, providing a suitable model for increasing the scale of silkworm breeding, achieving larger vertical integrations among the actors, managing the commercial and production information related to silk production, implementing innovative business models and contract farming, and establishing a strong relationship with the textile and tourism industry in order to strengthen and create market opportunities are necessary and recommended.
 

کلیدواژه‌ها [English]

  • Strategic Planning
  • Strategies of Development
  • Silk Market
  • Abedi Parijaei, A., & Kavousi Kalashami, M. (2014). Economic feasibility study of advanced silkworm breeding farm in Guilan province. Proceedings of the First National Conference on Agriculture, Environment and Food Security, March 3-4, Jiroft, Iran. [In Persian]
  • Akhtar, K., & Pirzada, S. S. (2014). SWOT analysis of agriculture sector of Pakistan. Journal of Economic and Sustainable Development, 5(11), 58-69.
  • Amiri Aghdaei, S. F., & Zare Zardeini, H. (2012). A SWOT analysis of Persian handmade carpet exports. International Journal of Business and Management, 2(1), 35-53.
  • Bashardoost, O., Shojaee, M., & Mansoori, M. (2011). Quantitative evaluating and providing solutions to improve brand position using QSPM matrix: a case study of Kalleh Dairy company). Journal of Industrial Technology Development, 9(17), 83-94. [In Persian]
  • Çelik, A., Metin, I., & Çelik, M. (2012). Taking a photo of Turkish fishery sector: a SWOT analysis. Procedia - Social and Behavioral Sciences, 58(12), 1515-1524. DOI: 10.1016/j.sbspro.2012.09.1138.
  • Chung, S. H., Lee, A. H. L., & Pearn, W. L. (2005). Analytic Network Process (ANP) approach for product mix planning in semiconductor fabricator. International Journal of Production Economics, 96, 15-36.
  • Faraji, M., & Dabaghmanesh, M. (2007). Investigating the causes of affecting the supply chain moldability of the silk production and processing industry, in order to identify problems and provide appropriate solutions. Journal of Iranian Carpet Scientific Association, 67, 79-105. [In Persian]
  • Garousi, A. R., Tavakkoli, M., & Alavi, S. A. (2016). Developing the tourism strategy of Nazarabad using SWOT model. Journal of Geographical Tourism Space, 5(20), 121-136.
  • Haghshenas Kashani, F., Saeedi, N., & Hassanpour Pazvari, M. (2010). Strategic planning for Iran's carpet industry on the eve of WTO membership. Business Reviews, 43(3). [In Persian]
  • Hill, T., & Westbrook, R. (1997). SWOT analysis: It’s time for a product recall. Long Range Planning, 30, 46-52.
  • Hosseini, S., & Darijani, A. (2003). Development of a theoretical model for evaluating the economic behavior of Iran's silk cocoon industry in the context of related markets. The Fourth Iranian Agricultural Economics Conference, Tehran. [In Persian]
  • Hosseini, S. M., Aghasafari, H., & Karbasi, A. (2014). Identifying and developing appropriate strategies for Iran's agricultural production cooperatives. Journal of Cooperative and Agriculture, 3(10), 65-85. DOI: 20.1001.1.27835464.1393.3.10.4.8. [In Persian]
  • Houben, G., Lenie, K., & Vanhoof, K. (1999). A knowledge-based SWOT analysis system as an instrument for strategic planning in small and medium sized enterprises. Decision Support Systems, 26, 125-135.
  • Saboori, M., & Norouzi, A. (2012). Examining the strengths and bottlenecks of ecotourism in the Makran Sea basin using SWOT analytical model. Proceedings of National Conference on Development of Makran Coasts and Maritime Authority of the Islamic Republic of Iran, Febraury, Chabahar, Iran. [In Persian]
  • Sedaghat, M., Afzali Groh, Z., & Kashani Asil, M. (2015). Evaluation and analysis of the potentials and effective strategies of tourism in the city of Rhine using the QSPM quantitative strategic planning model. Urban Social Geography, 6, 103-116. [In Persian]
  • Shrestha, R., Alavalapati, J. R., & Kalmbacher, R. (2004). Exploring the potential for Silvopasture adoption in south-central Florida: an application of SWOT-AHP method. Agricultural Systems, 81, 185-199.
  • Stewart, R., Moamed, S., & Daet, R. (2002). Strategic implementation of IT/IS projects in construction: a case study. Automation in Construction, 11, 681-694.
  • Ulgen, H., & Mirze, S. K. (2004). Strategic Management. Istanbul: Literatur Publication.
  • Yuksel, I., & Deviren, M. D. (2007). Using the Analytic Network Process (ANP) in a SWOT analysis: a case study for a textile firm. Information Sciences, 177, 440-458.
  • Zarifneshat, S., Mazhari, M., & Saeidi, H. (2015). Strategies for improvement and development of agricultural mechanization in saffron farms using strategic factors analysis (SWOT). Journal of Agricultural Mechanization and Systems Research, 16(65), 65-78. [In Persian]