518 KB0 KB202120252025Chari, FelixMoyo, JudithMutsvangwa, Simbaletnik:16številka:issue 1str. 57-74DOI:10.2478/jlst-2025-0005COBISSID_HOST:253660163ISSN:2784-7497URN:URN:NBN:SI:doc-YCMDOL94enDe Gruyter PolandFakulteta za logistikoLogistics, supply chain, sustainability and global challengesagro foodblock chain technologiesdobavna verigaIoT technologieskmetijsko-živilski sektorsupply chaintehnologije IoTtehnologije verižnih blokovThe integration of blockchain technology and internet of things in realising sustainable agro food supply chains| an insight into small to medium scale soya beans farmers in Mashonaland Central Province, Zimbabwe|The world population is projected to reach 9 billion by 2050, which is 34% higher than it is now and the demand for agricultural food is expected to increase as well. Research has shown that the demand for soya beans is on the increase owing to its contribution in cooking oil, stock feed and other by-products. On average, Zimbabwe’s soya bean national output production is only enough to meet 30% of national demand, which is supplemented by imports from South Africa, Zambia and Malawi. Constraints in information gathering, storage, safeguarding, and sharing, environmental changes and escalations in input prices has become a catch phrase for soya bean supply systems failure. This study’s objective is to explore strategies which can be adopted by soya bean small to medium scale farmers to realise sustainability in their supply chains and build food security in Mashonaland Central Province of Zimbabwe. This study therefore proposes the integration of Blockchain Technology (hereafter: BCT) and Internet of Things (hereafter: IoT) to improve sustainability in the soya bean supply chain systems in Zimbabwe. The researchers adopted a pragmatism research philosophy premised on the mixed methods research approach because quantitative data alone is not sufficient to answer the research questions. Quantitative data were analysed using STATA 15 and NVivo version 16 was used to analyse qualitative data. Using Krejcie and Morgan (1970) a sample size of 375 farmers was randomly selected to respond to questionnaires. Six (6) AGRITEX officers and two (2) Agronomists were purposefully selected from the six (6) districts of Mashonaland Central Province and were interviewed. Findings from the research showed that there is minimal uptake of Artificial Intelligence (hereafter: AI) technologies in soya bean supply chains in Mashonaland Central Province which has slowed the improvements in production and sustainability of agro-supply chains. The study recommends the integration of blockchain and IoT technologies to improve sustainability in soya bean production in ZimbabwePo napovedih bo svetovno prebivalstvo do leta 2050 doseglo 9 milijard, kar je 34 % več kot zdaj, prav tako pa se bo povečalo tudi povpraševanje po kmetijskih živilih. Raziskave so pokazale, da se povpraševanje po soji povečuje zaradi njenega prispevka v kuhinjskem olju, krmi za živino in drugih stranskih proizvodih. Povprečna nacionalna proizvodnja soje v Zimbabveju zadostuje le za 30 % nacionalnega povpraševanja, ki se dopolnjuje z uvozom iz Južne Afrike, Zambije in Malavija. Omejitve pri zbiranju, shranjevanju, varovanju in izmenjavi informacij, okoljske spremembe in povečanje vhodnih cen so postali ključni dejavniki za neuspeh sistemov oskrbe s sojo. Cilj te študije je raziskati strategije, ki jih lahko sprejmejo mali in srednji pridelovalci soje, da bi dosegli trajnost v svojih oskrbovalnih verigah in zagotovili varnost preskrbe s hrano v provinci Mashonaland Central v Zimbabveju. Ta študija zato predlaga integracijo tehnologije BlockChain (BCT) in interneta stvari (IoT) za izboljšanje trajnosti v sistemih oskrbovalne verige soje v Zimbabveju. Raziskovalci so sprejeli pragmatični raziskovalni pristop, ki temelji nakvantitativnih in kvalitativnih podatkih, saj kvantitativni podatki sami po sebi ne zadostujejo za odgovor na raziskovalna vprašanja. Kvantitativni podatki so bili analizirani z uporabo programa STATA 15, za analizo kvalitativnih podatkov pa je bila uporabljena različica 16 programa NVivo. Na podlagi Krejcieja in Morgana (1970) je bila naključno izbrana vzorčna skupina 375 kmetov, ki so izpolnili vprašalnike. Šest (6) uradnikov AGRITEX in dva (2) agronoma so bili namensko izbrani iz šestih (6) okrožij province Mashonaland Central in so bili intervjuvani. Rezultati raziskave so pokazali, da je uporaba tehnologij umetne inteligence (AI) v oskrbovanih verigah soje v provinci Mashonaland Central minimalna, kar je upočasnilo izboljšave v proizvodnji in trajnosti kmetijskih oskrbovalnih verig. Študija priporoča integracijo tehnologij blockchain in IoT za izboljšanje trajnosti proizvodnje soje v ZimbabvejuTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaUniverza v Mariboru, Fakulteta za logistiko