Blockchain-enabled supply chain: An experimental study

Longo, Francesco; Nicoletti, Letizia; Padovano, Antonio; d’Atri, Gianfranco; Forte, Marco

doi:10.1016/j.cie.2019.07.026

Cited by 306 publications

(159 citation statements)

References 18 publications

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“…Unwillingness to share information among members within a supply chain due to conflict of interest is a challenge that slows down the momentum of deploying blockchain [52]. Blockchain-enabled solution which offers a high transparency, on the contrary, may not contribute to, but could further increase, the unwillingness of organization to use this solution to store and share information.…”

Section: Rt2: To Investigate the Current Potential Challenges Or Bmentioning

confidence: 99%

“…In a survey of 308 senior executives at large companies in the United States, 39% of the respondents had little or no knowledge about blockchain technology [80]. Till today, many SMEs claimed that they have little knowledge about blockchain [52], [81]. Investment of both time and money are needed to overcome the barrier of deployment of blockchain are inevitable at this infancy stage.…”

Section: Rt2: To Investigate the Current Potential Challenges Or Bmentioning

confidence: 99%

“…Information hiding using smart contract embedded in blockchain should be focused in parallel with information sharing within a supply chain. Information sharing can provide operation benefits [52], but the feasibility, in reality, for any firms in global supply chains agreeing to this may be very low. For example, high level of information sharing in medical service such as medical diagnosis and prescriptions from medical professional like doctors may result in resistance towards the implementation of blockchain-based technology.…”

Section: Rt3: To Identify Future Development Of Information Sharinmentioning

confidence: 99%

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Blockchain-Enabled Information Sharing Within a Supply Chain: A Systematic Literature Review

2020

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A supply chain consists of many stakeholders such as suppliers, carriers and customers. It is often complex due to the rapid development of economic globalization and the intense competition pressure in the market which resulted in information sharing within a supply chain to be fragmented. Blockchain technology can solve this problem by having only a ''one trusted ledger'' that could reshape the element of data trust. The goal of this paper is to identify and understand the impact of blockchain technology for information sharing within a supply chain. The decentralized nature of blockchain technology offers a high level of transparency and has gained the attention from various sectors to deploy this technology. A systematic literature review in the academic literature was conducted using different databases. Blockchain-enabled information sharing can add value to enhance collaborative work in different types of supply chains such as health and medical, construction and smart city. From our findings, one potential impact of deploying blockchain-enabled information sharing within a supply chain is that it ensures all members in the chain can obtain verified information which enhances collaborative partnerships. Through this in-depth research, we highlighted potential barriers that could impede the development of blockchain technology in supply chain such as the lack of understanding of blockchain technology in businesses and conflict of interests. Future work such as information hiding, in parallel with information sharing, could close the gap in deploying this technology within a supply chain. Understanding the nature of different supply chain is also important to better prepare the deployment of blockchain. We acknowledge that our approach in selecting literatures in our systematic review may exclude certain literatures. Nonetheless, we tried to include as many relevant literatures as possible, to develop a roadmap on the current situation of blockchain-enabled information sharing within a supply chain. INDEX TERMS Blockchain, smart contract, supply chain management, information sharing.

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Section: Rt2: To Investigate the Current Potential Challenges Or Bmentioning

confidence: 99%

Section: Rt2: To Investigate the Current Potential Challenges Or Bmentioning

confidence: 99%

Section: Rt3: To Identify Future Development Of Information Sharinmentioning

confidence: 99%

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Blockchain-Enabled Information Sharing Within a Supply Chain: A Systematic Literature Review

2020

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“…Obtain subjective weights of criteria by the 0-1 matrix and BWM (Eqs. (17), (18), (20), (21), and model (19)). BWM can simplify the comparison process, reduce the risk of inconsistency, and ensure the accuracy of judgement by selecting the best and the worst special criteria.…”

Section: H General Steps In Decision Analysismentioning

confidence: 99%

“…The number of research papers on blockchain technology has been growing rapidly in the past five years. Related fields include computer science [7], finance [11], e-commerce [1,12], Internet [13,14], Internet of Things (IoT) [15,16], government [17], supply chain management [3,18], digital medicine [10,19,20], energy [21,22], and education [23,24]. Figure 2 shows the relevant data.…”

Section: Introductionmentioning

confidence: 99%

Blockchain Service Provider Selection Based on an Integrated BWM-Entropy-TOPSIS Method Under an Intuitionistic Fuzzy Environment

Liu

Zhang

et al. 2020

IEEE Access

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The emergence of blockchain technology has significantly changed the underlying infrastructure of existing information technology and will fundamentally affect the production modes of enterprises. However, because the application of blockchain is still in its infancy, it is difficult for an enterprise to develop a comprehensive assessment of various types of blockchain service providers in the market. Hence, enterprises need scientific decision tools to estimate which blockchain service provider is appropriate. However, few studies have focused on this phenomenon. Therefore, to address this challenge, this investigation proposes a novel integrated multi-attribute group decision-making (MAGDM) method to help enterprises estimate which blockchain vendor is more appropriate by considering more comprehensive influence factors. The proposed method is defined in an intuitionistic fuzzy environment and integrates entropy and the best-worst method (BWM) for comprehensive weighting of decision makers (DMs), subjective criteria and objective criteria in the decision-making process to make the decision results more reliable and reasonable. A numerical example and comparison are provided to illustrate the practicability and usefulness of the method. This study enriches the theory and methodology of blockchain technology and MAGDM analysis. INDEX TERMS Blockchain, BWM, entropy, intuitionistic fuzzy set, TOPSIS.

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Ensemble Learning and Blockchain‐Driven Pharmaceutical Supply Chain Optimization

Pimple,

Sen,

Chitare

et al. 2024

Blockchain‐Enabled Solutions for the Pharmaceutical Industry

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Blockchain-enabled supply chain: An experimental study

Cited by 306 publications

References 18 publications

Blockchain-Enabled Information Sharing Within a Supply Chain: A Systematic Literature Review

Blockchain-Enabled Information Sharing Within a Supply Chain: A Systematic Literature Review

Blockchain Service Provider Selection Based on an Integrated BWM-Entropy-TOPSIS Method Under an Intuitionistic Fuzzy Environment

Ensemble Learning and Blockchain‐Driven Pharmaceutical Supply Chain Optimization

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