Bibliographic coupling clusters
| New cluster | Main articles | Cluster (colour) | Number of documents | Timespan | Main topics |
|---|---|---|---|---|---|
| A (AI adoption and benefits) | Spanaki et al. (2021) Tassiello et al. (2021) | 1 (red) | 15 | 2019–2022 | Customer engagement (Alfalih, 2022), boosting entrepreneurship and innovation (Secinaro et al., 2022; Lachman and Ló pez, 2019); sustainable practices in agriculture (Abban and Abebe, 2022; Morales and Elkader, 2020) |
| B (AI for efficiency and productivity) | Richards et al. (2009) | 2 (green) | 12 | 2009–2022 | Crop yield (Fenu and Malloci, 2021; Jain and Choudhary, 2022); Boosting farming practices (Alam et al., 2020); Support sustainable digital transformation (Lugonja et al., 2022); Crop disease prediction (Anand et al., 2022; Khan et al., 2022) |
| Skvortsov (2020) | 4 (yellow) | 8 | 2020–2022 | ||
| Kumar et al. (2015) | 5 (purple) | 6 | 2015–2022 | ||
| C (AI for Logistics and Supply Chain Management) | Ting et al. (2014) Priyadarshi et al. (2019) | 3 (blue) | 10 | 2010–2021 | Food delivery (Bocewicz et al., 2017); supply chain management (Sitek et al., 2017); inventory management (Basljan et al., 2021; Lao et al., 2010b) |
| D (AI for supporting decision making process for firms and consumers) | Olan et al., 2022 Dora et al. (2022) | 6 (light blue) | 5 | 2017–2022 | Healthy food choices (Kim et al., 2021; Fiore et al., 2017); Sales forecasting (Dellino et al., 2018) |
| E (AI for risk mitigation) | Camaréna (2020) | 7 (light orange) | 4 | 2020–2022 | Supply chain risk management (Nayal et al., 2022); Agriculture risk management (Vuppalapati, 2022); Addressing agricultural and food industry challenges (Camaréna, 2020; Dadi et al., 2021) |
| Nayal et al. (2022) | 8 (brown) | 4 | 2010–2022 | ||
| F (AI Marketing aspects) | Zhu and Chang (2020) | 9 (pink) | 3 | 2020–2022 | consumer perception of food quality (Zhu and Chang, 2020); price forecasting (Chu et al., 2019); enhancing sales and promoting sustainability (Yang et al., 2022 |
| Chu et al. (2019) | 10 (light pink) | 2 | 2019–2021 |
| New cluster | Main articles | Cluster (colour) | Number of documents | Timespan | Main topics |
|---|---|---|---|---|---|
| A (AI adoption and benefits) | 1 (red) | 15 | 2019–2022 | Customer engagement ( | |
| B (AI for efficiency and productivity) | 2 (green) | 12 | 2009–2022 | Crop yield ( | |
| 4 (yellow) | 8 | 2020–2022 | |||
| 5 (purple) | 6 | 2015–2022 | |||
| C (AI for Logistics and Supply Chain Management) | 3 (blue) | 10 | 2010–2021 | Food delivery ( | |
| D (AI for supporting decision making process for firms and consumers) | 6 (light blue) | 5 | 2017–2022 | Healthy food choices ( | |
| E (AI for risk mitigation) | 7 (light orange) | 4 | 2020–2022 | Supply chain risk management ( | |
| 8 (brown) | 4 | 2010–2022 | |||
| F (AI Marketing aspects) | 9 (pink) | 3 | 2020–2022 | consumer perception of food quality ( | |
| 10 (light pink) | 2 | 2019–2021 |
Source(s): Authors' elaboration
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