Abstract
Blockchain technology offers undeniable benefits of enhanced transparency, reliability, and information accuracy to agri-food supply chains. Currently, the implementation of this technology has associated challenges. This paper explores the influential barriers to implementing blockchain technology (BCT) in the agri-food supply chain (AFSC). An integrated literature review approach and expert opinions were employed to explore the influential barriers. The barriers were modelled using the hybrid fuzzy-based decision-making trial and evaluation laboratory (Fuzzy-DEMATEL) approach to evaluate the interrelationship and classify them into cause-and-effect groups. As an outcome, a comprehensive framework was proposed revealing the unfamiliarity with technology, high investment cost, lack of regulations, technological infeasibility, and scalability as key influential barriers. This study will help the decision-makers to focus on influential barriers and identify the roadmap towards blockchain implementation.
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References
Afrianto I, Djatna T, Arkeman Y, Sukaesih Sitanggang I, Hermadi I (2020) Disrupting agro-industry supply chain in Indonesia with blockchain technology: current and future challenges. 8th ICCITSM. https://doi.org/10.1109/citsm50537.2020.9268872
Akbari M, Hopkins JL (2022) Digital technologies as enablers of supply chain sustainability in an emerging economy. Oper Manag Res. https://doi.org/10.1007/s12063-021-00226-8
Aldrighetti A, Canavari M, Hingley MK (2021) A delphi study on blockchain application to food traceability. Int J Food Syst Dyn 12(1):6–18. https://doi.org/10.18461/ijfsd.v12i1.72
Ali MH, Chung L, Kumar A, Zailani S, Tan KH (2021) A sustainable Blockchain framework for the halal food supply chain: lessons from Malaysia. Tech Forecast Soc Change 170:120870. https://doi.org/10.1016/j.techfore.2021.120870
Astill J, Dara RA, Campbell M, Farber JM, Fraser ED, Sharif S, Yada RY (2019) Transparency in food supply chains: a review of enabling technology solutions. Trends in Food Sc & Tech 91:240–247. https://doi.org/10.1016/j.tifs.2019.07.024
Casino F, Kanakaris V, Dasaklis TK, Moschuris S, Rachaniotis NP (2019) Modeling food supply chain traceability based on blockchain technology. IFAC-PapersOnLine 52(13):2728–2733. https://doi.org/10.1016/j.ifacol.2019.11.620
Chen S, Liu X, Yan J, Hu G, Shi Y (2020) Processes, benefits, and challenges for adoption of blockchain technologies in food supply chains: a thematic analysis. IseB 19(3):909–935. https://doi.org/10.1007/s10257-020-00467-3
Choi D, Chung CY, Seyha T, Young J (2020) Factors affecting organizations’ resistance to the adoption of blockchain technology in supply networks. Sustainability 12(21):8882. https://doi.org/10.3390/su12218882
Chopra A (2020) Blockchain technology in food industry ecosystem. IOP Conf Ser Mater Sci Eng 872(1):012005. https://doi.org/10.1088/1757-899x/872/1/012005
De Filippi P, Mannan M, Reijers W (2020) Blockchain as a confidence machine: the problem of trust & challenges of governance. Technol Soc 62:101284. https://doi.org/10.1016/j.techsoc.2020.101284
Demestichas K, Peppes N, Alexakis T, Adamopoulou E (2020) Blockchain in agriculture traceability systems: a review. Appl Sci 10(12):4113. https://doi.org/10.3390/app10124113
Duan J, Zhang C, Gong Y, Brown S, Li Z (2020) A content-analysis based literature review in blockchain adoption within food supply chain. Int J Environ Res Public Health 17(5):1784. https://doi.org/10.3390/ijerph17051784
Dwivedi A, Agrawal D, Paul SK, Pratap S (2022) Modeling the blockchain readiness challenges for product recovery system. Ann Oper Res. https://doi.org/10.1007/s10479-021-04468-4
Erol I, Ar IM, Ozdemir AI, Peker I, Asgary A, Medeni IT, Medeni T (2020) Assessing the feasibility of blockchain technology in industries: evidence from Turkey. J Enterp Inf Manag 34(3):746–769. https://doi.org/10.1108/jeim-09-2019-0309
Farooque M, Jain V, Zhang A, Li Z (2020) Fuzzy DEMATEL analysis of barriers to Blockchain-based life cycle assessment in China. Comput Ind Eng 147:106684. https://doi.org/10.1016/j.cie.2020.106684
Fernandez-Carames TM, Fraga-Lamas P (2018) A review on the use of blockchain for the Internet of Things. IEEE Access 6:32979–33001. https://doi.org/10.1109/access.2018.2842685
Francisco K, Swanson D (2018) The supply chain has no clothes: technology adoption of blockchain for supply chain transparency. Logistics 2(1):2. https://doi.org/10.3390/logistics2010002
Frederico GF (2023) Rethinking strategic sourcing during disruptions: a resilience-driven process contribution to knowledge on supply chains. Knowl Process Manag 30(1):83–86. https://doi.org/10.1002/kpm.1742
Fu H, Zhao C, Cheng C, Ma H (2020) Blockchain-based agri-food supply chain management: case study in China. Int Food Agribusiness Manag Rev 23(5):667–679. https://doi.org/10.22434/ifamr2019.0152
Galvez JF, Mejuto J, Simal-Gandara J (2018) Future challenges on the use of blockchain for food traceability analysis. TrAC, Trends Anal Chem 107:222–232. https://doi.org/10.1016/j.trac.2018.08.011
Ghode DJ, Yadav V, Jain R, Soni G (2020) Blockchain adoption in the supply chain: an appraisal on challenges. J Manuf Technol Manag 32(1):42–62. https://doi.org/10.1108/jmtm-11-2019-0395
Ghode DJ, Jain R, Soni G (2022) Challenges of adoption of blockchain technology in supply chain: an overview. Recent advances in industrial production. Springer, Singapore
Govindan K, Khodaverdi R, Vafadarnikjoo A (2015) Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain. Expert Syst Appl 42(20):7207–7220. https://doi.org/10.1016/j.eswa.2015.04.030
Gruber D, Li W, Karame G (2018) Unifying lightweight blockchain client implementations. Proceedings 2018 Workshop on Decentralized IoT Security and Standards. https://doi.org/10.14722/diss.2018.23010
Han X, Rani P (2022) Evaluate the barriers of blockchain technology adoption in sustainable supply chain management in the manufacturing sector using a novel Pythagorean fuzzy-CRITIC-CoCoSo approach. Oper Manag Res. https://doi.org/10.1007/s12063-021-00245-5
He Y, Chen L, Xu Q (2021) Optimal pricing decisions for a global fresh product supply chain in the blockchain technology era. Int J Logist Res Appl. https://doi.org/10.1080/13675567.2021.1981275
Iansiti M, Lakhani KR (2017) The truth about blockchain. Harv Bus Revi 95(1):118–127. https://hbr.org/2017/01/the-truth-about-blockchain. Accessed 1 Mar 2023
Islam MS, Tseng ML, Karia N, Lee CH (2018) Assessing green supply chain practices in Bangladesh using fuzzy importance and performance approach. Resour Cons Recycl 131:134–145. https://doi.org/10.1016/j.resconrec.2017.12.015
Islam MS, Tseng ML, Karia N (2019) Assessment of corporate culture in sustainability performance using a hierarchical framework and interdependence relations. J Clean Prod 217:676–690. https://doi.org/10.1016/j.jclepro.2019.01.259
Jindal A, Sharma SK, Sangwan KS, Gupta G (2021) Modelling supply chain agility antecedents using fuzzy DEMATEL. Procedia CIRP 98:436–441. https://doi.org/10.1016/j.procir.2021.01.130
Kamble S, Gunasekaran A, Arha H (2019) Understanding the blockchain technology adoption in supply chains-Indian context. Int J Prod Res 57(7):2009–2033. https://doi.org/10.1080/00207543.2018.1518610
Kamble SS, Gunasekaran A, Sharma R (2020) Modeling the blockchain enabled traceability in agriculture supply chain. Int J Inf Manag 52:101967. https://doi.org/10.1016/j.ijinfomgt.2019.05.023
Kamilaris A, Fonts A, Prenafeta-Boldύ FX (2019) The rise of blockchain technology in agriculture and food supply chains. Trends Food Sci Technol 91:640–652. https://doi.org/10.1016/j.tifs.2019.07.034
Katsikouli P, Wilde AS, Dragoni N, Høgh-Jensen H (2020) On the benefits and challenges of blockchains for managing food supply chains. J Sci Food Agric 101(6):2175–2181. https://doi.org/10.1002/jsfa.10883
Kayikci Y, Subramanian N, Dora M, Bhatia MS (2020) Food supply chain in the era of industry 4.0: blockchain technology implementation opportunities and impediments from the perspective of people, process, performance, and tech. Prod Plan Control 33(2–3):301–321. https://doi.org/10.1080/09537287.2020.1810757
Kazancoglu Y, Kazancoglu I, Sagnak M (2018) Fuzzy DEMATEL-based green supply chain management performance. Ind Manag Data Syst 118(2):412–431. https://doi.org/10.1108/imds-03-2017-0121
Khan S, Khan MI, Haleem A (2019) Evaluation of barriers in the adoption of halal certification: a fuzzy DEMATEL approach. J Model Manag 14(1):153–174. https://doi.org/10.1108/jm2-03-2018-0031
Kouhizadeh M, Saberi S, Sarkis J (2021) Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers. Int J Prod Econ 231:107831. https://doi.org/10.1016/j.ijpe.2020.107831
Kramer MP, Bitsch L, Hanf J (2021) Blockchain and its impacts on agri-food supply chain network management. Sustainability 13(4):2168. https://doi.org/10.3390/su13042168
Kshetri N (2019) Blockchain and the economics of food safety. IT Prof 21(3):63–66. https://doi.org/10.1109/mitp.2019.2906761
Kshetri N, DeFranco J (2020) The economics behind food supply blockchains. Computer 53(12):106–110. https://doi.org/10.1109/mc.2020.3021549
Kumar V, Yetkin Ekren B, Wang J, Shah B, Frederico GF (2022) Investigating the impact of COVID-19 on sustainable food supply chains. J Model Manag. https://doi.org/10.1108/JM2-03-2022-0072
Lamba K, Singh SP (2018) Modeling big data enablers for operations and supply chain management. Int J Logist Manag 29(2):629–658. https://doi.org/10.1108/ijlm-07-2017-0183
Lezoche M, Hernandez JE, Alemany Díaz MDME, Panetto H, Kacprzyk J (2020) Agri-food 4.0: a survey of the supply chains and technologies for the future agriculture. Comput Ind 117:103187. https://doi.org/10.1016/j.compind.2020.103187
Lin RJ (2013) Using fuzzy DEMATEL to evaluate the green supply chain management practices. J Clean Prod 40:32–39. https://doi.org/10.1016/j.jclepro.2011.06.010
Liu Y, Wang K, Lin Y, Xu W (2019) LightChain: A lightweight blockchain system for industrial internet of things. IEEE Trans Ind Inform 15(6):3571–3581. https://doi.org/10.1109/TII.2019.2904049
Lu Q, Xu X (2017) Adaptable blockchain-based systems: a case study for product traceability. IEEE Softw 34(6):21–27. https://doi.org/10.1109/ms.2017.4121227
Maden A, Alptekin E (2020) Evaluation of factors affecting the decision to adopt blockchain technology: A logistics company case study using Fuzzy DEMATEL. J Intell Fuzzy Syst 39(5):6279–6291. https://doi.org/10.3233/jifs-189096
Malviya RK, Kant R (2016) Hybrid decision making approach to predict and measure the success possibility of green supply chain management implementation. J Clean Prod 135:387–409. https://doi.org/10.1016/j.jclepro.2016.06.046
Mangla SK, Kumar P, Barua MK (2016) A fuzzy DEMATEL-based approach for evaluation of risks in green initiatives in supply chain. Int J Logist Syst Manag 24(2):226. https://doi.org/10.1504/ijlsm.2016.076483
Ministry of Electronics and Information Technology (2021) National Strategy on Blockchain towards enabling trusted digital platforms. https://www.meity.gov.in/content/national-strategy-on-blockchain; https://www.meity.gov.in/writereaddata/files/National_BCT_Strategy.pdf. Accessed 1 Mar 2023
Mishra R, Singh RK, Subramanian N (2021) Impact of disruptions in agri-food supply chain due to COVID-19 pandemic: contextualised resilience framework to achieve operational excellence. Int J Logist Manag 33(3):926–954. https://doi.org/10.1108/ijlm-01-2021-0043
Mondragon AEC, Mondragon CEC, Coronado ES (2020) Feasibility of internet of things and agnostic blockchain technology solutions: a case in the fisheries supply chain. IEEE 7th ICIEA. https://doi.org/10.1109/iciea49774.2020.9102080
Mor RS, Bhardwaj A, Singh S, Khan SAR (2021) Modelling the distribution performance in dairy industry: a predictive analysis. LogForum Sci J Logist 17(3):425–440. https://doi.org/10.17270/J.LOG.2021.609
Moudoud H, Cherkaoui S, Khoukhi L (2019) An IoT blockchain architecture using oracles and smart contracts: the use-case of a food supply chain. IEEE 30th Annual Int. Symp. on PIMRC. https://doi.org/10.1109/pimrc.2019.8904404
Mukherjee AA, Singh RK, Mishra R, Bag S (2021) Application of blockchain technology for sustainability development in agricultural supply chain: justification framework. Oper Manag Res. https://doi.org/10.1007/s12063-021-00180-5
Niknejad N, Ismail W, Bahari M, Hendradi R, Salleh AZ (2021) Mapping the research trends on blockchain technology in food and agriculture industry: a bibliometric analysis. Environ Technol Innov 21:101272. https://doi.org/10.1016/j.eti.2020.101272
Nurgazina J, Pakdeetrakulwong U, Moser T, Reiner G (2021) Distributed ledger technology applications in food supply chains: a review of challenges and future research directions. Sustainability 13(8):4206. https://doi.org/10.3390/su13084206
Oguntegbe KF, Di Paola N, Vona R (2022) Behavioural antecedents to blockchain implementation in agrifood supply chain management: a thematic analysis. Technol Soc 68:101927. https://doi.org/10.1016/j.techsoc.2022.101927
Pandey V, Pant M, Snasel V (2022) Blockchain technology in food supply chains: review and bibliometric analysis. Technol Soc 69:101954. https://doi.org/10.1016/j.techsoc.2022.101954
Parmar PS, Desai TN (2020) Evaluating sustainable lean six sigma enablers using fuzzy DEMATEL: a case of an Indian manufacturing organization. J Clean Prod 265:121802. https://doi.org/10.1016/j.jclepro.2020.121802
Patelli N, Mandrioli M (2020) Blockchain technology and traceability in the agrifood industry. J Food Sci 85(11):3670–3678. https://doi.org/10.1111/1750-3841.15477
Patil SK, Kant R (2013) A Fuzzy DEMATEL method to identify critical success factors of knowledge management adoption in supply chain. J Info Knowl Manag 12(03):1350019. https://doi.org/10.1142/s0219649213500196
Pearson S, May D, Leontidis G, Swainson M, Brewer S, Bidaut L, Frey JG, Parr G, Maull R, Zisman A (2019) Are distributed ledger technologies the panacea for food traceability? Glob Food Sec 20:145–149. https://doi.org/10.1016/j.gfs.2019.02.002
Pranto TH, Noman AA, Mahmud A, Haque AB (2021) Blockchain and smart contract for IoT enabled smart agriculture. PeerJ Comput Sci 7:e407. https://doi.org/10.7717/peerj-cs.407
Queiroz MM, Fosso Wamba S (2019) Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA. Int J Inf Manag 46:70–82. https://doi.org/10.1016/j.ijinfomgt.2018.11.021
Queiroz MM, Telles R, Bonilla SH (2019) Blockchain and supply chain management integration: a systematic review of the literature. Supply Chain Manag 25(2):241–254. https://doi.org/10.1108/scm-03-2018-0143
Rana RL, Tricase C, de Cesare L (2021) Blockchain technology for a sustainable agri-food supply chain. Br Food J 123(11):3471–3485. https://doi.org/10.1108/bfj-09-2020-0832
Rejeb A, Keogh JG, Zailani S, Treiblmaier H, Rejeb K (2020) Blockchain technology in the food industry: a review of potentials, challenges and future research directions. Logistics 4(4):27. https://doi.org/10.3390/logistics4040027
Rogerson M, Parry GC (2020) Blockchain: case studies in food supply chain visibility. Supply Chain Manag 25(5):601–614. https://doi.org/10.1108/scm-08-2019-0300
Sahebi IG, Mosayebi A, Masoomi B, Marandi F (2022) Modeling the enablers for blockchain technology adoption in renewable energy supply chain. Technol Soc 68:101871. https://doi.org/10.1016/j.techsoc.2022.101871
Saroha M, Garg D, Luthra S (2021) Identification and analysis of circular supply chain management practices for sustainability: a Fuzzy-DEMATEL approach. Int J Prod Perform Manag. https://doi.org/10.1108/ijppm-11-2020-0613
Shoaib M, Lim M, Wang C (2020) An integrated framework to prioritize blockchain-based supply chain success factors. Ind Manag Data Syst 120(11):2103–2131. https://doi.org/10.1108/IMDS-04-2020-0194
Sid S, Mor RS, Panghal A, Kumar D, Gahlawat VK (2021) Agri-food supply chain and disruptions due to COVID-19: effects and strategies. Braz J Oper Prod Manag 18(2):e20211148. https://doi.org/10.14488/bjopm.2021.031
Song L, Wang X, Merveille N (2020) Research on blockchain for sustainable e-agriculture. 2020 IEEE Technology & Engineering Management Conference. https://doi.org/10.1109/temscon47658.2020.9140121
Srivastava A, Dashora K (2022) Application of blockchain technology for agrifood supply chain management: a systematic literature review on benefits and challenges. Benchmark Int J. https://doi.org/10.1108/bij-08-2021-0495
Tan A, Gligor D, Ngah A (2020) Applying blockchain for halal food traceability. Int J Logist Res Appl 25(6):947–964. https://doi.org/10.1080/13675567.2020.1825653
Tokkozhina U, Lucia Martins A, Ferreira JC (2022) Uncovering dimensions of the impact of blockchain technology in supply chain management. Oper Manag Res. https://doi.org/10.1007/s12063-022-00273-9
Torky M, Hassanein AE (2020) Integrating blockchain and the internet of things in precision agriculture: analysis, opportunities, and challenges. Comput Electron Agric 178:105476. https://doi.org/10.1016/j.compag.2020.105476
Toufaily E, Zalan T, Dhaou SB (2021) A framework of blockchain technology adoption: an investigation of challenges and expected value. Inform Manag 58(3):103444. https://doi.org/10.1016/j.im.2021.103444
Tyagi M, Kumar P, Kumar D (2014) Assessment of critical enablers for flexible supply chain performance measurement system using Fuzzy DEMATEL approach. Glob J Flex Syst Manag 16(2):115–132. https://doi.org/10.1007/s40171-014-0085-6
Voswinckel T, Hardjosuwito D, Gehring T, Siruet R, Fuessler A (2020) Impact analysis of industrial standards on blockchains for food supply chains. Boosting collaborative networks, vol 4. Springer International Publishing, pp 524–533. https://doi.org/10.1007/978-3-030-62412-5_43
Vu N, Ghadge A, Bourlakis M (2021) Blockchain adoption in food supply chains: a review and implementation framework. Prod Plan Control 34(6):506–523. https://doi.org/10.1080/09537287.2021.1939902
Wu L, Zhang Q, Shan L, Chen Z (2013) Identifying critical factors influencing the use of additives by food enterprises in China. Food Control 31(2):425–432. https://doi.org/10.1016/j.foodcont.2012.10.028
Wu KJ, Liao CJ, Tseng ML, Chiu AS (2015) Exploring decisive factors in green supply chain practices under uncertainty. Int J Prod Econ 159:147–157. https://doi.org/10.1016/j.ijpe.2014.09.030
Xiong H, Dalhaus T, Wang P, Huang J (2020) Blockchain technology for agriculture: applications and rationale. Front Blockchain 3:7. https://doi.org/10.3389/fbloc.2020.00007
Yadav S, Singh SP (2020) Blockchain critical success factors for sustainable supply chain. Resour Conserv Recycl 152:104505. https://doi.org/10.1016/j.resconrec.2019.104505
Yadav VS, Singh A, Raut RD, Govindarajan UH (2020a) Blockchain technology adoption barriers in the Indian agricultural supply chain: an integrated approach. Resour Conserv Recycl 161:104877. https://doi.org/10.1016/j.resconrec.2020.104877
Yadav S, Luthra S, Garg D (2020b) Internet of things (IoT) based coordination system in agri-food supply chain: development of an efficient framework using DEMATEL-ISM. Oper Manag Res 15(1–2):1–27. https://doi.org/10.1007/s12063-020-00164-x
Yin W, Ran W (2021) Theoretical exploration of supply chain viability utilizing blockchain technology. Sustainability 13(15):8231. https://doi.org/10.3390/su13158231
Zhang X, Sun P, Xu J, Wang X, Yu J, Zhao Z, Dong Y (2020) Blockchain-based safety management system for the grain supply chain. IEEE Access 8:36398–36410. https://doi.org/10.1109/access.2020.2975415
Zhao G, Liu S, Lopez C, Lu H, Elgueta S, Chen H, Boshkoska BM (2019) Blockchain technology in agri-food value chain management: a synthesis of applications, challenges and future research directions. Comput Ind 109:83–99. https://doi.org/10.1016/j.compind.2019.04.002
Acknowledgements
The authors are thankful to the National Institute of Food Technology Entrepreneurship and Management (NIFTEM-K), Kundli, Sonepat (Haryana), India, and the Ministry of Food Processing Industries (Govt. of India), for providing funding and essential supports to conduct this research.
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Ministry of Food Processing Industries (Govt. of India), Grant Number: Q-11/13/2021-R&D.
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Vern, P., Panghal, A., Mor, R.S. et al. Influential barriers to blockchain technology implementation in agri-food supply chain. Oper Manag Res 16, 1206–1219 (2023). https://doi.org/10.1007/s12063-023-00388-7
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DOI: https://doi.org/10.1007/s12063-023-00388-7