Technological advancements and challenges in food supply chain management
A scientometric analysis
Bibliographic Data
| ID | 21295462 |
|---|---|
| Authors | Amit Kohli (University Canada West), Amit Kumar Kohli (0000-0002-3922-4840, University Canada West), Kariyapperuma Mudiyanselage Keshika Erandi Kumarihami Rekogama (University Canada West Department of Business Administration), Lokeswar Rao Bodasingh (University Canada West Department of MBA), Sriram Ananthan (0009-0003-3141-4345, Yorkville University Department of MBA), Thirupathi Manickam (0000-0001-7976-6073, Christ University Department of Professional Studies), Dhanabalan Thangam (0000-0003-1253-3587, Presidency Business School, Presidency College) |
| Year | 2025 |
| Volume | 127 |
| Issue | 9 |
| Pages | 3303-3324 |
| Publication date | 2025-08-12 |
| Open Access | No |
| Type | ARTICLE |
| Venue | British Food Journal (JOURNAL) |
| Journal identifiers | ISSN: 0007-070X • E-ISSN: 1758-4108 |
| Publisher | Emerald (PUBLISHER) |
| DOI | 10.1108/bfj-09-2024-0944 |
| OpenAlex | W4411436385 |
| Language | EN |
| Citations received | 1 |
| References cited | 54 |
Purpose This study aims to synthesise existing research to provide a comprehensive understanding of the current state of food supply chains by evaluating technological advancements that can address the challenges in food supply chain management (SCM). Design/methodology/approach The scientometric analysis, a quantitative study using statistical methods, selected English publications from after 2014, excluding non-peer-reviewed articles. This study analysed 479 research papers, filtered from 621 articles indexed in Scopus. Findings The review highlights key challenges in food SCM: perishability, increased intermediaries, safety compliance and sustainability. Technological solutions such as blockchain, Internet of Things (IoT), artificial intelligence (AI) and big data (BD) analytics are promising tools to address these issues and attention to food wastage, security and catering services is also essential. Research limitations/implications The study relies on existing literature, possibly missing emerging technologies like multi-enterprise platforms for food certification. Practical implications This review offers valuable insights for food supply chain practitioners by highlighting current trends and contributions from different regions. It underscores the importance of technologies and considers adopting innovative technologies to enhance operations and efficiency. Social implications Accurate food SCM through technological solutions can reduce waste and lower the environmental impact of food production and distribution, emphasising sustainable SCM. Originality/value This study contributes to the existing body of knowledge by systematically reviewing the literature on food SCM and identifying the role of technology in overcoming its challenges. It also directs research on future trends of digitalisation of food SCM
Agriculture · Analytics · Big data · Business · Data science · Food security · Knowledge management · Originality · Perishability · Process management · Qualitative research · Supply chain · Supply chain management · Sustainability · Computer Science · Food Supply Chain Traceability · Food Waste Reduction and Sustainability · Marketing · Sustainable Supply Chain Management
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| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |