2022
DOI: 10.1108/bij-08-2021-0489
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Investigating the barriers of blockchain technology integrated food supply chain: a BWM approach

Abstract: PurposeBlockchain is an evolving technology that has an impact on a variety of industries and related operations including food supply chain. There are several challenges associated in the implementation of blockchain in the food supply chain. As a result, the goal of this research is to identify and analyse the barriers associated with the implementation of blockchain in food supply chains.Design/methodology/approachA comprehensive literature review is conducted to identify 16 primary barriers associated with… Show more

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Cited by 50 publications
(28 citation statements)
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“…(2022). Khan et al. (2022) carried a thorough examination of the literature is undertaken to identify the main obstacles to the adoption of blockchain technology in the food supply chain (FSC).…”
Section: Literature Reviewmentioning
confidence: 99%
“…(2022). Khan et al. (2022) carried a thorough examination of the literature is undertaken to identify the main obstacles to the adoption of blockchain technology in the food supply chain (FSC).…”
Section: Literature Reviewmentioning
confidence: 99%
“…From the current perspective, there is an essential requirement to create innovation and increase manufacturing efficiency for customised products. Thus, modern technologies such as additive manufacturing (AM), IoT, IIoT and big data are introduced to improve the quality of planning, operations management, proper management system and resources (Dubey et al, 2017;Khan et al, 2022a).…”
Section: Introductionmentioning
confidence: 99%
“…Thus, modern technologies such as additive manufacturing (AM), IoT, IIoT and big data are introduced to improve the quality of planning, operations management, proper management system and resources (Dubey et al. , 2017; Khan et al. , 2022a).…”
Section: Introductionmentioning
confidence: 99%
“…Saberi et al (2019), Fosso,Chod et al (2020),Farooque et al (2020),Papathanasiou et al (2020),Shoaib et al (2020),Kamble et al (2020),Sahebi et al (2020Sahebi et al ( , 2022,Schuetz and Venkatesh (2020), van Hoek (2020b),Yadav and Singh (2020),Ali et al (2021),Balci and Surucu-Balci (2021), Bag et al (2021), Caldarelli et al (2021), Baharmand et al (2021), Dede et al (2021), Dong et al (2021), Ghode et al (2021), Guo et al (2021), Gupta et al (2021), He et al (2021), Karakas et al (2021), Karuppiah et al (2021), Kouhizadeh et al (2021), Li et al (2021b, 2021d), Mathivathanan et al (2021), Liu et al (2021a, 2021b, 2021c, 2021d, 2021e, 2021f, 2021g), Nandi et al (2021), Narwane et al (2021), Niu et al (2021a, 2021b), Pun et al (2021), Patil et al (2021), Rainero and Modarelli (2021), Razak et al (2021), Sharma et al (2021a, 2021b), Shen et al (2021), Sundarakani et al (2021), Suwanposri et al (2021), Tan and Sundarakani (2021),Vafadarnikjoo et al (2021),Vu et al (2021,Wu et al (2021,Xiong et al (2021),Yang et al(2021),Agi and Jha (2022),Anastasiadis et al (2022),Bai et al (2022),Benstead and Moradlou (2022),Çolak and Kaǧnicioǧlu (2022),Fan et al (2022),Galati (2022),Govindan (2022),Huang et al (2022),Ji et al (2022),Han and Rani (2022),Kayikci et al (), Khan et al (2022a, 2022b, 2022c,Kumar et al (2022a),Moretto and Macchion (2022),Naef et al (2022),…”
mentioning
confidence: 99%
“…(2020),Sahebi et al (2020),Papathanasiou et al (2020),Schuetz and Venkatesh (2020), van Hoek (2020b),Balci and Surucu-Balci (2021),Bag et al (2021),Caldarelli et al (2021),Baharmand et al (2021),Narwane et al (2021),Mathivathanan et al (2021), Patil et al (2021,Kouhizadeh et al (2021),Karuppiah et al (2021),Ghode et al (2021),Vafadarnikjoo et al (2021),Vu et al (2021),Govindan (2022),Han and Rani (2022),Khan et al (2022aKhan et al ( , 2022bKhan et al ( , 2022c, Moretto and Macchion (2022), Samad et al (2022), Xu et al (2022) Enablers of adoption Kamble et al (2020), van Hoek (2020b), Yadav and Singh (2020), Papathanasiou et al (2020), Shoaib et al (2020), Baharmand et al (2021), Gupta et al (2021), Sharma et al (2021a, 2021b), Suwanposri et al (2021), Yadav et al (2021), Vu et al (2021), Agi and Jha (2022), Bai et al (2022), Kayikci et al (2022a, 2022b), Moretto and Macchion (2022), Sahebi et al (2022), Samad et al (2022), Yousefiand Mohamadpour Tosarkani (2022) …”
mentioning
confidence: 99%