2022
DOI: 10.4018/jgim.313035
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Improving Shipping Efficiency Industry-Led Consortium Blockchain Smart Contact

Abstract: COVID-19 has recently affected global trade flows, and the primary reason is that shipping failed to adapt rapidly to meet the need for on-time delivery. Given blockchain's “revolutionary” potential, this paper aims to understand how blockchain can address longstanding inefficiencies and challenges in the shipping industry. This analysis proposes a model of how an industrywide blockchain-based consortium powered by smart contracts could resolve end-to-end contract issues with trustworthiness, thus improving ef… Show more

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Cited by 9 publications
(5 citation statements)
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“…Collecting additional video data from a wider range of oyster reefs in the New York Harbor, as well as other estuarine ecosystems, can improve the model's generalization capabilities and increase its applicability to diverse environments. Additionally, future work should focus on refining the model, addressing the current limitations, and exploring new data collection and analysis techniques with emerging technologies, such as big data analytics (Bag et al, 2022;Xie et al, 2022;Xing et al, 2022), blockchain (Buthelezi et al, 2022;Harshvardhan & Teoh, 2022;Qiu, 2022), edge computing (Liang et al, 2022;Huang et al, 2021), the Internet of Things (Almomani et al, 2021;Peng et al, 2021), and deep learning (Wu et al, 2022;Zhang & Song, 2022;Zhao, 2022). By continuously improving and expanding upon this research, we can contribute to the advancement of oyster restoration efforts, enhance ecological management practices, and further our understanding of oyster populations and their vital role in estuarine ecosystems.…”
Section: Discussionmentioning
confidence: 99%
“…Collecting additional video data from a wider range of oyster reefs in the New York Harbor, as well as other estuarine ecosystems, can improve the model's generalization capabilities and increase its applicability to diverse environments. Additionally, future work should focus on refining the model, addressing the current limitations, and exploring new data collection and analysis techniques with emerging technologies, such as big data analytics (Bag et al, 2022;Xie et al, 2022;Xing et al, 2022), blockchain (Buthelezi et al, 2022;Harshvardhan & Teoh, 2022;Qiu, 2022), edge computing (Liang et al, 2022;Huang et al, 2021), the Internet of Things (Almomani et al, 2021;Peng et al, 2021), and deep learning (Wu et al, 2022;Zhang & Song, 2022;Zhao, 2022). By continuously improving and expanding upon this research, we can contribute to the advancement of oyster restoration efforts, enhance ecological management practices, and further our understanding of oyster populations and their vital role in estuarine ecosystems.…”
Section: Discussionmentioning
confidence: 99%
“…Using decentralized blockchain technology, making contracts, collecting, storing and sharing sensitive data is simpler than ever. In the supply chain application, the research focuses on improving the imbalance caused by asymmetric information and opaque supply chains with blockchain technology (Badzar, 2016; Harshvardhan and Teoh, 2022; Zheng et al , 2021). It can increase supply chain transparency for both suppliers and customers.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The complexity of detecting and averting cyberattacks is growing as we move to a post-pandemic world that has normalized new organizational models, such as working from home. The complexity is exacerbated by the advent of technologies such as artificial intelligence (Akter et al ., 2021; Varsha et al ., 2021), the Internet of Things (Huang et al ., 2021; Peng et al ., 2021), blockchain ( Teoh, 2022) and other highly interoperable systems (Lee et al ., 2021; Xanthidis and Xanthidou, 2021). Not surprisingly, disruptions and shortages due to the COVID-19 pandemic that revealed weaknesses in inter-organizational systems forced increased focus on the resilience of supply chains, resulting in a plethora of research on the topic (Tukamuhabwa et al ., 2015).…”
Section: Literature Reviewmentioning
confidence: 99%