Supply chain management in mango: A critical analysis (Record no. 290287)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 08948nam a22001577a 4500 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 630.71 |
| Item number | PRA/SU PG |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Prathiksha I |
| 245 ## - TITLE STATEMENT | |
| Title | Supply chain management in mango: A critical analysis |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Vellayani |
| Name of publisher, distributor, etc | Department of Agricultural Extension, College of Agriculture |
| Date of publication, distribution, etc | 2023 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 121p. |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | MSc |
| 520 ## - SUMMARY, ETC. | |
| Abstract | The study entitled ‘Supply Chain Management in Mango: A Critical Analysis’ was conducted in Palakkad district of Kerala and Krishnagiri district of Tamil Nadu during the year 2021-2022 among the actors identified in the supply chain. The objectives of the research were identification of the existing supply chains and the supply chain management activities related to mango in Kerala and Tamil Nadu; comparative assessment of the performance effectiveness of supply chains in the selected districts and formulation of extension strategies based on the constraints identified, to strengthen the performance of the supply chains. Five respondents of each mango supply chain actor namely input suppliers, farmers, wholesalers, processors, retailers, logistic partners and consumers and officials who work on the mango supply chain from each of the four panchayats were randomly selected, totalling the sample size 160. The independent variables in the study selected through judges rating were age, education, annual income, market perception, perception about supply chain, information seeking behaviour, alertness, problem solving skill and risk orientation and dependent variable performance effectiveness of the mango supply chain was measured using the scale developed for the study. On performing Mann-Whitney U test on independent variables among all the actors it was found that there exists a significant difference between age of the farmers in Kerala (52.4) and Tamil Nadu (63.5), education status of the farmers in Kerala (5.4) and Tamil Nadu (2.9), annual income of the wholesalers in Kerala (685000) and Tamil Nadu (285000), market perception of the wholesalers in Kerala (6.1) and Tamil Nadu (7.2) and the retailers in Kerala (5.4) and Tamil Nadu (7.5), perception about supply chain of the wholesalers in Kerala (14.0) and Tamil Nadu (14.8), alertness of the retailers in Kerala (13.2) and Tamil Nadu (12.5), problem-solving skill of the wholesalers in Kerala (8.1) and Tamil Nadu (8.9), retailers in Kerala (8.7) and Tamil Nadu (8.0) and logistics partners in Kerala (8.1) and Tamil Nadu (7.4) and risk orientation of the farmers in Kerala (17.5) and Tamil Nadu (19.1) with the P-value less than 0.05 at 0.05% level of significance, whereas other actors are relatively significant with the P-value 123 greater than 0.05 at 0.05% level of significance for all the independent variables. From the analysis of Mann-Whitney U test on the performance effectiveness of the mango supply chains in Kerala and Tamil Nadu it was found that there exist no significant differences in the performance effectiveness scores of the respondents in Kerala and Tamil Nadu with a P-value of 0.571 which is not significant at 0.05% level of significance. It was also observed that the P-values for the input suppliers (1) and processors (1) were equal, which may be attributed to the fact that the input suppliers and processors operating across the border in Tamil Nadu is depended upon by the mango supply chains operating in both the states. It was pertinent to observe that there were no input suppliers and processors for mango in Kollengode block in Kerala. On performing Principal Component Analysis for the influence of the subdimensions on the performance effectiveness scores of the supply chains it was found that the first principal component accounts to the largest percentage variance (73.25%) in the performance effectiveness scores of the respondents in Kerala and the first three principal components accounts for a cumulative variance of more than 97 percent. It was also revealed that it is the product quality ensured by the supply chains and the efficiency of the supply chains which largely influence the performance effectiveness of the mango supply chains in Kerala whereas in Tamil Nadu it was found that the first principal component accounts to the largest percentage variance (70.55%) in the performance effectiveness scores of the respondents and the first three principal components accounts for a cumulative variance of more than 97 percent. It was also revealed that it is the efficiency of the performance of the supply chains and the responsiveness of the supply chains which largely influence the performance effectiveness of the mango supply chains in Tamil Nadu. Comparative analysis of the PCA-biplots revealed that majority of the mango supply chains in Kerala (60%) were having higher flexibility, efficiency, product quality and responsiveness compared to 40% of mango supply chains in Tamil Nadu giving similar results. From the analysis of multiple regression for the influence of actors on the performance effectiveness of the mango supply chains in Kerala and Tamil Nadu it was found that the performance effectiveness scores of the seven actors viz., 124 input suppliers (0.026), farmers (0.000), wholesalers (0.044), processors (0.012), retailers (0.050), logistics partners (0.003) and consumers (0.003) were significant in influencing the performance effectiveness of the mango supply chains. It was further observed that the performance effectiveness of the farmers was found to be highly significant in influencing the performance effectiveness scores of the mango supply chains. Since the respondents of input suppliers and processors from Kerala and Tamil Nadu are same, major constraints faced by the supply chain actors in Kerala and Tamil Nadu were unavailability of good quality saplings, delay in payments, post-harvest management losses, lack of awareness about production, lack of financial support from Government, competitive pricing of the products, inadequate storage facilities, lack of communication among the actors upstream and downstream the chain and miscommunication of feedback to upstream actors in the supply chain. Suggestions to strengthen the performance effectiveness of the mango supply chains in Kerala and Tamil Nadu are assisting the farmers in choosing reliable suppliers for availing good quality inputs during peak seasons and providing useful training programme for better production. Assisting the farmers with subsidies to provide purchasers with quick payment options. Imparting knowledge to farmers and wholesalers on proper grading, standardizing, processing and careful handling of the products which can help in reducing postharvest and handling losses. The real-time data sharing of information across the actors in the supply chain can be improved with the help of social media, newspapers, APMC markets, market information sharing platforms, etc., Improvements can be brought in scientific transportation facilities like cold storage vans and providing infrastructure facilities for setting up of warehouse, processing units, cold storage units in rural areas. Pricing of products should be set after considering the market conditions that actually exist and limit pricing competitions among the retailers. Improving the large scale organised direct retailing by farmers in Agriculture Produce Market Committee markets. Increasing the supply chain visibility by ensuring technology assisted traceability of the supply chains for better communication across the actors. 125 The major extension strategies suggested are providing training on the use of mobile applications and software of the improved agricultural technologies for input suppliers. Sensitising the farmers on direct marketing of their produce through APMC markets which reduces the intervention of middlemen thereby increasing the profit. Conducting workshops to familiarize the wholesalers with the real-time data sharing tools to ensure better co-ordination in the supply chain. Awareness on the importance of cold storage facilities, capacity building programmes for the managers of the processing units and demonstrations on the improved technologies in value addition in mango. Empowering the retailers on the use of ICT based applications and platforms for improved communication within the supply chain. Capacity building programmes to facilitate computerised documentation for the logistics partners. Awareness regarding consumer rights, quality produce, pricing of products. Sensitization on their role in providing feedback on the supply of the produce by the consumers and creating awareness on traceability of the products. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Agricultural Extension |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Gopika Somanath (Guide) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Item type | Theses |
| Not for loan | Collection code | Permanent location | Current location | Shelving location | Date acquired | Full call number | Barcode | Date last seen | Koha item type |
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| Not For Loan | Reference Book | KAU Central Library, Thrissur | KAU Central Library, Thrissur | Theses | 2023-05-11 | 630.71 PRA/SU PG | 175659 | 2023-05-11 | Theses |