Journal Press India^®

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Despite its immense importance, the potato supply chain in India is beset with difficulties that have an impact on farmer earnings and the industry’s competitiveness. To understand the existing trends in the field of supply chain linkages and farmers income, thorough analysis of academic literature published during 1997 to 2024, were conducted by using bibliometric approaches to identify important contributors, trends, and patterns in this field of study etc. The findings emphasize the significance of various elements in influencing supply chain linkages and farmers’ income, including social dynamics, policy interventions, farmer empowerment, sustainability initiatives, and IT innovation. This study also outlined the future directions of research which includes the role of digital technologies, farmer cooperatives, supply chain coordination, and contract design in enhancing farmers’ income and supply chain sustainability. The outcomes of this study will be used to dig into the issues and challenges in supply chain linkages among different stakeholders in major potato-producing districts of Uttar Pradesh.

Keywords

Supply chain; Potato production; India, Farmer’s income; Bibliometric analysis; Network analysis; Gephi

1. Ahi, P., Searcy, C., & Jaber, M. Y. (2016). Energy-related performance measures employed in sustainable supply chains: A bibliometric analysis. Sustainable Production and Consumption, 7, 1–15. Retrieved from https://doi.org/10.1016/j.spc.2016.02.001
2. Akinnifesi, F. K., Kwesiga, F., Mhango, J., Chilanga, T., Mkonda, A., Kadu, C. A. C., ... & Dhliwayo, P. (2006). Towards the development of miombo fruit trees as commercial tree crops in southern Africa. Forests, Trees and Livelihoods, 16(1), 103-121.
3. Alam, G. M. M., Sarker, M. N. I., Kamal, M. A. S., Khatun, M. N., & Bhandari, H. (2023). Impact of COVID-19 on smallholder aquaculture farmers and their response strategies: Empirical evidence from Bangladesh. Sustainability, 15(3), 2638. Retrieved from https://doi.org/10.3390/su15032638
4. Ali, J., & Kumar, S. (2011). Information and communication technologies (ICTs) and farmers’ decision-making across the agricultural supply chain. International Journal of Information Management, 31(2), 149-159.
5. Allen, A. R., Simmons, P., & McElroy, T. (2020). A bibliometric review of artificial extracellular matrices based on tissue engineering technology literature: 1990 through 2019. Materials, 13(13), 2891.
6. Aria, M., & Cuccurullo, C. (2017). Bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. Retrieved from https://doi.org/10.1016/j.joi.2017.08.007
7. Azima, S., & Mundler, P. (2022). The gendered motives and experiences of Canadian women farmers in short food supply chains: Work satisfaction, values of care, and the potential for empowerment. Journal of Rural Studies, 96, 19–31. Retrieved from https://doi.org/10.1016/j.jrurstud.2022.10.007
8. Babalola, F. D., Ayinde, O. E., Chirwa, P. W., & Thiam, D. R. (2017). Risks and coping strategies of production and marketing of cocoa in Ondo State, Nigeria. Agroforestry Systems, 91(2), 211–220. Retrieved from https://doi.org/10.1007/s10457-016-9905-3
9. Baker, H. K., Pandey, N., Kumar, S., & Haldar, A. (2020). A bibliometric analysis of board diversity: Current status, development, and future research directions. Journal of Business Research, 108, 232-246.
10. Balkan, B. A., Lindqvist, A. N., Odoemena, K., Lamb, R., Tiongco, M. A., Gupta, S., & Menendez, H. M., III. (2021). Understanding the impact of COVID-19 on agriculture and food supply chains: System dynamics modeling for the resilience of smallholder farmers. Retrieved from https://doi.org/10.18461/IJFSD.V12I3.89
11. Bartol, T., Budimir, G., Dekleva-Smrekar, D., Pusnik, M., & Juznic, P. (2014). Assessment of research fields in Scopus and Web of Science in the view of national research evaluation in Slovenia. Scientometrics, 98(2), 1491–1504. Retrieved from https://doi.org/10.1007/s11 192-013-1148-8
12. Beg, M. S., Ahmad, S., Jan, K., & Bashir, K. (2017). Status, supply chain and processing of cocoa: A review. Trends in Food Science & Technology, 66, 108-116.
13. Benckendorff, P., & Zehrer, A. (2013). A network analysis of tourism research. Annals of Tourism Research, 43, 121–149. Retrieved from https://doi.org/10.1016/j.annals.2013.04.005
14. Bhatt, Y., Ghuman, K., & Dhir, A. (2020). Sustainable manufacturing, bibliometrics, and content analysis. Journal of Cleaner Production, 260, 120988. Retrieved from https://doi.org/10.1016/j.jclepro.2020.120988
15. Broadus, R. N. (1987). Toward a definition of bibliometrics. Scientometrics, 12(5-6), 373–379. Retrieved from https://doi.org/10.1007/BF02016680
16. Bui, T. N., Nguyen, A. H., Le, T. T. H., Nguyen, V. P., Le, T. T. H., Tran, T. T. H., & Lebailly, P. (2021). Can a short food supply chain create sustainable benefits for small farmers in developing countries? An exploratory study of Vietnam. Sustainability, 13(5), 2443. Retrieved from https://doi.org/10.3390/su13052443
17. Candelo, E., Casalegno, C., Civera, C., & Mosca, F. (2018). Turning farmers into business partners through value co-creation projects: Insights from the coffee supply chain. Sustainability, 10(4), 1018. Retrieved from https://doi.org/10.3390/su10041018
18. Cervini, C., Verheecke-Vaessen, C., He, T., Mohammed, A., Magan, N., & Medina, A. (2022). Improvements within the peanut production chain to minimize aflatoxins contamination: An Ethiopian case study. Food Control, 136, 108622. Retrieved from https://doi.org/10.1016/j.foodcont.2021.108622
19. Cheng, F. F., Huang, Y. W., Yu, H. C., & Wu, C. S. (2018). Mapping knowledge structure by keyword co-occurrence and social network analysis. Library Hi Tech, 36(4), 636–650. Retrieved from https://doi.org/10.1108/LHT-01-2018-0004
20. DeFries, R. S., Fanzo, J., Mondal, P., Remans, R., & Wood, S. A. (2017). Is voluntary certification of tropical agricultural commodities achieving sustainability goals for small-scale producers? A review of the evidence. Environmental Research Letters, 12(3), 033001. Retrieved from https://doi.org/10.1088/1748-9326/aa625e
21. Demartini, E., Gaviglio, A., & Pirani, A. (2017). Farmers’ motivation and perceived effects of participating in short food supply chains: Evidence from a North Italian survey. Agricultural Economics, 63(5), 204–216. Retrieved from https://doi.org/10.17221/323/2015-agricecon
22. Dhamija, P., & Bag, S. (2020). Role of artificial intelligence in operations environment: A review and bibliometric analysis. The TQM Journal, 32(4), 869-896.
23. Donthu, N., Kumar, S., & Pattnaik, D. (2020). Forty-five years of Journal of Business Research: A bibliometric analysis. Journal of Business Research, 109, 1-14.
24. Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
25. Fahimnia, B., Sarkis, J., & Davarzani, H. (2015). Green supply chain management: A review and bibliometric analysis. International Journal of Production Economics, 162, 101–114. Retrieved from https://doi.org/10.1016/j.ijpe.2015.01.003
26. Feng, Y., Zhu, Q., & Lai, K.-H. (2017). Corporate social responsibility for supply chain management: A literature review and bibliometric analysis. Journal of Cleaner Production, 158, 296–307.
27. Food and Agricultural Organization (FAO). (2023). FAOSTAT Database. Retrieved from http://www.fao.org/faostat/en/#data/QC
28. Franceschini, S., Faria, L. G. D., & Jurowetzki, R. (2016). Unveiling scientific communities about sustainability and innovation: A bibliometric journey around sustainable terms. Journal of Cleaner Production, 127, 72–83. Retrieved from https://doi.org/10.1016/j.jcle pro.2016.03.142
29. Fu, H., Li, J., Li, Y., Huang, S., & Sun, X. (2018). Risk transfer mechanism for agricultural products supply chain based on weather index insurance. Complexity, 2018, 1–17. Retrieved from https://doi.org/10.1155/2018/2369423
30. Fu, H., Teo, K. L., Li, Y., & Wang, L. (2018). Weather risk–reward contract for sustainable agri-food supply chain with loss-averse farmer. Sustainability, 10(12), 4540. Retrieved from https://doi.org/10.3390/su10124540
31. Garfield, E. (1979). Is citation analysis a legitimate evaluation tool? Scientometrics, 1(4), 359–375. Retrieved from https://doi.org/10.1007/BF02019306
32. Garrett, R. D., Gardner, T. A., Morello, T. F., Marchand, S., Barlow, J., Ezzine de Blas, D., & Parry, L. (2017). Explaining the persistence of low income and environmentally degrading land uses in the Brazilian Amazon. Ecology and Society: A Journal of Integrative Science for Resilience and Sustainability, 22(3). Retrieved from https://doi.org/10.5751/es-09364-220327
33. Goyal, K., & Kumar, S. (2021). Financial literacy: A systematic review and bibliometric analysis. International Journal of Consumer Studies, 45(1), 80-105.
34. Hassan, S. U., Haddawy, P., & Zhu, J. (2014). A bibliometric study of the world’s research activity in sustainable development and its sub-areas using scientific literature. Scientometrics, 99, 549-579.
35. Higgins, A., Bruce, C., McFallan, S., Chilcott, C., McKeown, A., Williams, L., & Le, N. (2023). Enhancing farmer linkages to markets in developing countries through mapping of supply chains and optimizing transport. Case Studies on Transport Policy, 11, 100952. Retrieved from https://doi.org/10.1016/j.cstp.2023.100952
36. Hocquette, J. F., Botreau, R., Picard, B., Jacquet, A., Pethick, D. W., & Scollan, N. D. (2012). Opportunities for predicting and manipulating beef quality. Meat Science, 92(3), 197-209.
37. Hu, D., Reardon, T., Rozelle, S., Timmer, P., & Wang, H. (2004). The emergence of supermarkets with Chinese characteristics: Challenges and opportunities for China’s agricultural development. Development Policy Review, 22(5), 557-586.
38. Huo, Y., Wang, J., Guo, X., & Xu, Y. (2022). The collaboration mechanism of agricultural product supply chain dominated by farmer cooperatives. Sustainability, 14(10), 5824. Retrieved from https://doi.org/10.3390/su14105824
39. Kansiime, M. K., Tambo, J. A., Mugambi, I., Bundi, M., Kara, A., & Owuor, C. (2021). COVID-19 implications on household income and food security in Kenya and Uganda: Findings from a rapid assessment. World Development, 137, 105199.
40. Khandelwal, V., Tripathi, P., Chotia, V., Srivastava, M., Sharma, P., & Kalyani, S. (2023). Examining the impact of agency issues on corporate performance: A bibliometric analysis. Journal of Risk and Financial Management, 16(12), 497. Retrieved from https://doi.org/ 10.3390/jrfm16120497
41. Koseoglu, M. A. (2016). Growth and structure of authorship and co-authorship network in the strategic management realm: Evidence from the Strategic Management Journal. BRQ Business Research Quarterly, 19(3), 153-170. Retrieved from https://doi.org/10.1016/j.b rq.2016.02.001
42. Koseoglu, M. A., Mehraliyev, F., & Xiao, H. (2019). Intellectual connections in tourism studies. Annals of Tourism Research, 79, 102760. Retrieved from https://doi.org/10.1016/ j.annals.2019.102760
43. Kumar, R., Agrawal, R., & Sharma, V. (2015). IT enablement in sugar supply chain: An approach for farmers. International Journal of Business Performance and Supply Chain Modelling, 7(4), 360. Retrieved from https://doi.org/10.1504/ijbpscm.2015.073770
44. Kumar, S., Kamble, S., & Roy, M. H. (2020). Twenty-five years of Benchmarking: An International Journal (BIJ) A bibliometric overview. Benchmarking: An International Journal, 27(2), 760-780.
45. Kumar, S., Lim, W. M., Pandey, N., & Westland, J. C. (2021). 20 years of electronic commerce research. Electronic Commerce Research, 21, 1-40.
46. Kumar, S., Sureka, R., Lim, W. M., Kumar Mangla, S., & Goyal, N. (2021). What do we know about business strategy and environmental research? Insights from Business Strategy and the Environment, 30(8), 3454-3469.
47. Liu, Y., Qu, Y., Lei, Z., & Jia, H. (2017). Understanding the evolution of sustainable consumption research. Sustainable Development, 25(5), 414-430.
48. Maditati, D. R., Munim, Z. H., Schramm, H.-J., & Kummer, S. (2018). A review of green supply chain management: From bibliometric analysis to a conceptual framework and future research directions. Resources, Conservation and Recycling, 139, 150-162. Retrieved from https://doi.org/10.1016/j.resconrec.2018.08.004
49. Minten, B., Randrianarison, L., & Swinnen, J. F. (2009). Global retail chains and poor farmers: Evidence from Madagascar. World Development, 37(11), 1728-1741.
50. Mishra, P. (2017). Green human resource management: A framework for sustainable organizational development in an emerging economy. International Journal of Organizational Analysis, 25(5), 762-788.
51. Nederhof, A. J., & Van Raan, A. F. (1993). A bibliometric analysis of six economics research groups: A comparison with peer review. Research Policy, 22(4), 353-368.
52. Nedumaran, S., Selvaraj, A., Nandi, R., Suchiradipta, B., Jyosthnaa, P., & Bose, D. (2020). Digital integration to enhance market efficiency and inclusion of smallholder farmers: A proposed model for fresh fruit and vegetable supply chain. International Food and Agribusiness Management Review, 23(3), 319–337. Retrieved from https://doi.org/ 10.22434/ifamr2019.0165
53. Omar, I. A., Jayaraman, R., Salah, K., Hasan, H. R., Antony, J., & Omar, M. (2023). Blockchain-based approach for crop index insurance in agricultural supply chain. IEEE Access: Practical Innovations, Open Solutions, 11, 118660–118675. Retrieved from https://doi.org/10.1109/access.2023.3327286
54. Pang, R., & Zhang, X. (2019). Achieving environmental sustainability in manufacturing: A 28-year bibliometric cartography of green manufacturing research. Journal of Cleaner Production, 233, 84-99. Retrieved from https://doi.org/10.1016/j.jclepro.2019.05.303
55. Pingali, P. (2007). Westernization of Asian diets and the transformation of food systems: Implications for research and policy. Food Policy, 32(3), 281-298.
56. Podsakoff, P. M., MacKenzie, S. B., Podsakoff, N. P., & Bachrach, D. G. (2008). Scholarly influence in the field of management: A bibliometric analysis of the determinants of university and author impact in the management literature in the past quarter century. Journal of Management, 34(4), 641-720. Retrieved from https://doi.org/10.1177/014920 6308319533
57. Pritchard, A. (1969). Statistical bibliography or bibliometrics? Journal of Documentation, 25, 348-349. Retrieved from https://doi.org/10.4236/ijg.2016.71006
58. Pröll, S., Grüneis, H., & Sinabell, F. (2022). Market concentration, producer organizations, and policy measures to strengthen the opportunities of farmers for value addition—Empirical findings from the Austrian meat supply chain using a multi-method approach. Sustainability, 14(4), 2256. Retrieved from https://doi.org/10.3390/su14042256
59. Rajabion, L., Khorraminia, M., Andjomshoaa, A., Ghafouri-Azar, M., & Molavi, H. (2019). A new model for assessing the impact of the urban intelligent transportation system, farmers’ knowledge, and business processes on the success of green supply chain management system for urban distribution of agricultural products. Journal of Retailing and Consumer Services, 50, 154–162. Retrieved from https://doi.org/10.1016/j.jretconser.2019.05.007
60. Saini, M., Chandna, G., & Ubba, S. (2022). A closer look at farmers’ participation in the supermarket supply chain using bibliometric and content analyses. Journal of Agribusiness in Developing and Emerging Economies. Retrieved from https://doi.org/10.1108/jadee-06-2022-0128
61. Sharma, P., & Sharma, S. (2023). Mapping the intellectual structure of mobile payment research: A bibliometric analysis. SAGE Open, 13(3). Retrieved from https://doi.org/10.1177 /21582440231200329
62. Sharma, P., Agrawal, G., Arora, G., Sharma, D. K., & Chotia, V. (2023). Research on price discovery in financial securities: Trends and directions for future research. Journal of Risk and Financial Management, 16(9), 416. Retrieved from https://doi.org/10.3390/jrfm 16090416
63. Sharma, P., Sharma, D. K., & Gupta, P. (2024). Review of research on option pricing: A bibliometric analysis. Qualitative Research in Financial Markets, 16(1), 159–182. Retrieved from https://doi.org/10.1108/qrfm-09-2021-0152
64. Simon, J. N., Nuthammachot, N., Techato, K., Okpara, K. E., Channumsin, S., Kaewthongrach, R., & Sarkar, M. S. K. (2022). Para rubber (Hevea brasiliensis) feedstock for livelihoods opportunities in southern Thailand: Analysis of socioeconomic productivity potentials and security. Sustainability, 14(16), 10142. Retrieved from https://doi.org/ 10.3390/su141610142
65. Singh, S. K., & Rai, R. P. (2011). The potato crop in Bihar: Status and future challenges. Electronic International Fertilizer Correspondent (e-ifc), 27, 1-8.
66. Slamet, A. S., Hadiguna, R. A., & Mulyati, H. (2020). Making food supply chain sustainable: Participating smallholder farmers in modern retail channels. International Journal of Sustainable Agricultural Management and Informatics, 6(2), 135. Retrieved from https://doi.org/10.1504/ijsami.2020.108361
67. Small, H. (1973). Co-citation in the scientific literature: A new measure of the relationship between two documents. Journal of the American Society for Information Science, 24(4), 265-269. Retrieved from https://doi.org/10.1002/asi.4630240406
68. Svensson, G. (2010). SSCI and its impact factors: A “prisoner’s dilemma”? European Journal of Marketing, 44(1/2), 23-33.
69. Tripathi, P. K., Singh, C. K., Singh, R., & Deshmukh, A. K. (2022). A farmer-centric agricultural decision support system for market dynamics in a volatile agricultural supply chain. Benchmarking: An International Journal. Retrieved from https://doi.org/10.1108/bij-12-2021-0780
70. Velázquez, B., European Commission, & Buffaria, B. (2017). About farmers’ bargaining power within the new CAP. Agricultural and Food Economics, 5(1). Retrieved from https://doi.org/10.1186/s40100-017-0084-y
71. Verma, G., Singla, N., & Singh, S. (2023). COVID-19, livestock supply chains and livelihoods in India: A review of impacts and implications. Journal of Agribusiness in Developing and Emerging Economies. Retrieved from https://doi.org/10.1108/jadee-01-2023-0015
72. Wang, Y. L., Yin, X. M., Zheng, X. Y., Cai, J. R., & Fang, X. (2022). Supply chain coordination contract design: The case of farmer with capital constraints and behavioral preferences. Advances in Production Engineering & Management, 17(2), 219–230. Retrieved from https://doi.org/10.14743/apem2022.2.432
73. Xu, S., Zhang, X., Feng, L., & Yang, W. (2020). Disruption risks in supply chain management: A literature review based on bibliometric analysis. International Journal of Production Research, 58, 3508-3526. Retrieved from https://doi.org/10.1080/00207543.20 20.1717011
74. Xu, X., Chen, S., Jia, F., Brown, S., Gong, Y., & Xu, Y. (2018). Supply chain finance: A systematic literature review and bibliometric analysis. International Journal of Production Economics, 204, 160-173. Retrieved from https://doi.org/10.1016/j.ijpe.2018.08.003
75. Yin, X., Li, J., Wu, J., Cao, R., Xin, S., & Liu, J. (2024). Impacts of geographical indications on agricultural growth and farmers’ income in rural China. Agriculture, 14(1), 113. Retrieved from https://doi.org/10.3390/agriculture14010113
76. Zhu, J., & Hua, W. (2017). Visualizing the knowledge domain of sustainable development research between 1987 and 2015: A bibliometric analysis. Scientometrics, 110(2), 893-914.