Identification of Barriers to Develop the Fruit Production Chains( Case Study of Orchards in Meshginshahr)

Document Type : Research Article-en

Authors

• N. Seifollahi ¹
• R. Mohammadkhani ²

¹ Associate Professor, Department of Management, Mohaghegh Ardabili University / Iran / Ardabil

² business management mohaghege ardebiili university

10.22067/jead.2022.76629.1132

Abstract

The lack of a comprehensive information system and application model in the supply chain of agricultural products in Iran has caused this part of the country's economy to be ineffective despite its potential.Therefore, the aim of the current research was to investigate the Barriers against the orchards production chains  in Meshginshahr located at Ardabil province, Iran. To reach the aim of the study,  the semi-structured interviews were used to collect research data from 16 interviews including farmers, faculties and managers in the field of farming production chains. Then we analyzed the data by applying the Strauss and Corbin method and the paradigm model through Max QDA software. Sampling was theoretical sampling and was done using targeted and snowball methods. Based on that, 16 interviews were conducted with gardeners, university professors and managers in the field of Barriers to the development of agricultural production chains. The open codes included 38 concepts and the core codes also included 44 major categories, which were finally identified into four groups of selective categories including Barriers to i) product production; ii) input supply; iii) product distribution; and iv) customers . Based on the findings of the research on the risk of supply of input resources, the weakness of regulations and rules in supply of inputs, production information barriers, strategic production barriers, competition barriers in production, environmental risks, planning-management, financial-credit, technical-technical barriers, Product distribution cost barriers, lack of regulations in the distribution system, and sales barriers; Barriers related to the production sector are of the Barriers to the development of production chains of agricultural products. Barriers related to the production sector are one of the Barriers to the development of production chains of agricultural products.

Keywords

• Agricultural products
• Barriers to develop
• Production chains
• Meshginshahr orchards

20.1001.1.20084722.1401.36.4.4.7

Main Subjects

• Agricultural Managment

---

References

1. Aven, T. (2011). On different types of uncertainties in the context of the precautionary principle. Risk Analysis 31(10): 1515-1525. https://doi.org/10.1111/j.1539-6924.2011.01612.x.
2. Bohle, H.G. (2001). Weakness and Criticality: Perspectives from Social geography", IHDP update 2/2001, Newsletter of the International Human Dimensions Program on Global Environmental Change: 1-10.
3. Danaee Fard, H., & Eslami, A. (2010). Discovering theory of organizational indifference: a data collection and analysis. European Journal of General Practice 24(1): 9-18.
4. David, C., Love, E.M., Nussbaumer, Jamie Harding., J.A., Gephart James, L., Anderson Frank,. Asche Joshua, S., Stoll Andrew, L., Thorne-Lyman Martin, W.B. (2021). Risks shift along seafood supply chains. Bloomberg School of Public Health.
5. Devaux, A., Torero, M., Donovan, J., & Horton, D. (2018). Agricultural innovation and inclusive value-chain development: a review, Journal of Agribusiness in Developing and Emerging Economies 4: 11-073. https://doi.org/10.1108/JADEE-06-2017-0065.
6. Eshraghisaman, M., Fakhrmojahedi, A., &Charagi, M.A. (2015). Efective factors contributing to the non-repayment of Keshavarzi bank facilities by farmers case: Ilam county. Space Economics and Rural Development Journal 4(12): 71-91. (In Persian)
7. Ghadge, A., Fang, X., Dani, S., & Antony, J. (2017). Supply chain risk assessment approach for process quality risks, International Journal of Quality and Reliability Management 34(6): 3-31. https://doi.org/10.1108/IJQRM-01-2015-0010.
8. Gopal Naik, D.N. (2017). Suresh challenges of creating sustainable agri-retail supply chains grounded theory strategy. European Journal of Scientific Research 40(3): 450-46. https://doi.org/10.1016/j.iimb.2018.04.001.
9. Hasanqalipour, T., Irvani, M.J., Notash, M.R., Anousheh, M., Mousavi Niqabi, S.M. (2014). Designing a model for the development of small and medium industries studied: food and beverage industries. Management and Development Process 28(3): 21-46.
10. Heydari Qarabalag, H. (2009). Identification and troubleshooting of supply chain management. Management Quarterly 6(14): 1-7.
11. Hong, J., Zhang, Y., & Ding, M. (2017). Sustainable supply chain management practices, supply chain dynamic capabilities, and enterprise performance. Journal of Cleaner Production 172: 3508-3519. https://doi.org/10.1016/ j.jclepro. 2017.06.093.
12. Kazemi, J., Dehghan, K., & Khalilzadeh, M. (2017). Ranking of Iranian agricultural products, Agricultural Economics Research 9(3): 145-162.
13. Khandel, C., Singhal, M., Dangayash, G,S., & Meeua, M.L. (2021). Agriculture supply chain Managemen. New Marketing Research 47(11): 3144-3155. https://doi.org/10.1016/j.matpr.2021.06.193.
14. Kothari, C.R. (2004). Research Methodology: Methods and Techniques. New Age International.
15. Li, S., & Zeng, W. (2016). Risk analysis for the supplier selection problem using failure modes and effects analysis (FMEA). Journal of Intelligent Manufacturing 27(6): 1309–1321. https://doi.org/10.1007/ s 10845-014-0953.
16. Miri, M., Sharifzadeh, Sh., Abdollahzadeh, Gh.H., & Abedi-Sarvestani, A. (2017). An analysis of supply chain in agriculture sector: case of strawberry production in Ramian County, Golestan Province, Journal of Entrepreneurship in Agriculture 4(3): 89-104. https://doi.org/10.22069/JEAD.2017.13541.1275.
17. Mollahosseini, A., & Jabarzadeh, B. (2011). Study of effect of risk, value and price awareness on the tendency to buy gray market goods in Kerman province. New Marketing Research 1(1): 1-22. (In Persian)
18. Moser, A., & Korstjens, I. (2018). Practical guidance to qualitative research. Part 3: Sampling: Data Collection and Analysis 24(1): 9-18. https://doi.org/10.1080/13814788.2017.1375091.
19. Niazi Shahraki, S., & Mobini, A. (2019). Examining the challenges of the value chain of horticultural products with a resistance economy approach by comparing the current and desired situation. Scientific Quarterly Journal of National Defense Strategic Management Studies of National Defense 3(10): 129-148.
20. Pakravan, R., & Nikpoor, A. (2018). Examining the perspective of export potential in the competitiveness of Iranian agricultural products in the Middle East, University of Tehran Press 54: 123-154. (In Persian)
21. Podhrázská, J., Vaishar, A., Toman, F., Knotek, J., Ševelová, M., Stonawská, K., & Karásek, P. (2015). Evaluation of land consolidation process by rural stakeholders. European Countryside 7(3): 144-155. https://doi.org/10.1515/euco-2015-0010.
22. Rasekhjahromi, A., & Abedi, F. (2011). The study of relationship between agricultural exports and economic growth & development during 1355-1388. Economic Growth and Development Research 1(2): 95-112. (In Persian)
23. Sexton, R.J. (2011). The formation of cooperatives: A game-theoreticapproach with implication for cooperative finance, decision making, and stability. American Journal of Agricultural Economics 68: 214-232. https://doi.org/10.2307/1241423.
24. Shahbazi, K., & Alizadeh, S. (2018). The effect of government spending on production efficiency of the agricultural sector, Agricultural Economics Research 2: 33-48.
25. Strauss, A., & Corrbin, J. (2014). Basic qualitative reasearch granded theory procedure & techniques for developing grounded theory Juliet Corbin- San Jose State University.
26. Strauss, A., & Corbin, J. (2012). Basic theory, translated by Buick Mohammadi, Tehran: Institute of Humanities and Cultural Studies.
27. Suddaby, R. (2006). From the editors:What grounded theory is not. Academy of Management Journal 49(4): 633-645. https://doi.org/10.5465/amj.2006.22083020.
28. Vaibhav, S., Narwane, A. Gunasekaran, B., & Gardas, B. (2022). Unlocking adoption challenges of IoT in Indian agricultural and food supply chain. Smart Agriculture Technology 3(23): 1-14. https://doi.org/10.1016/j.atech.2022.100035.
29. Weihua, L., Shuang, W.S., Wanga, M., Lim, B., & Yujie, W. (2022). Problem identification model of agricultural precision management based on smart supply chains: An exploratory study from China. 352: 234-255. https://doi.org/10.1080/09537287.2022.2088424.

Zhang, X., de Vries, W.T., Li, G., Ye, Y., Zheng, H., & Wang, M. (2019). A behavioral analysis of farmers during land reallocation processes of land consolidation in China: Insights from Guangxi and Shandong provinces. Land Use Policy 89: 104-230. https://doi.org/10.1016/j.landusepol.2019.104230