Blockchain in operations and supply Chain Management

Emrouznejad, Ali; Chowdhury, Soumyadeb; Dey, Prasanta Kumar

doi:10.1007/s10479-023-05451-x

Cited by 8 publications

(2 citation statements)

References 16 publications

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“…More specifically, the attributes of blockchain technology enable companies to achieve real-time insights into supply chain processes, reduce uncertainty and quickly identify disruption risks, thereby facilitating agile responses (Brau et al , 2023; Han and Fang, 2023). Additionally, by facilitating trust and collaboration within the supply network, blockchain technology simplifies joint planning and resource integration within supply chains (Ahmed et al , 2022; Emrouznejad et al , 2023). This, in turn, speeds up the recovery process in the event of a disruption.…”

Section: Discussionmentioning

confidence: 99%

Blockchain technology adoption and supply chain resilience: exploring the role of transformational supply chain leadership

Liu,

Fang,

Feng

et al. 2024

SCM

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Purpose Although blockchain technology holds significant promise in influencing supply chain resilience (SCR), its effectiveness depends on a variety of factors. However, given that blockchain adoption in SCR is still in its infancy, there is a lack of empirical research to reveal the critical success factors maximizing its efficacy. This study aims to apply an organizational information processing theory (OIPT) perspective to explore how transformational supply chain leadership (TSCL) can facilitate the deployment and connection of blockchain technology to meet the imperatives of enhancing SCR. Design/methodology/approach This study used a two-wave survey method to gather data from 317 Chinese manufacturers to empirically examine the hypothesized relationships. Findings The findings suggest that the adoption of blockchain technology enhances both the proactive and reactive dimensions of SCR, and these effects can be realized through the mediating role of TSCL. Furthermore, the positive effect of blockchain technology on TSCL is strengthened in the context of dysfunctional competition. Practical implications These findings suggest that companies can only enhance the benefits of disruptive technologies, such as blockchain, by fully integrating them into the operational and supply chain processes. Originality/value This research offers novel insights into the specific processes of how blockchain technology can be used to enhance SCR. It also deepens our comprehension of how digital technology can be optimally harnessed within the framework of OIPT, thus providing a contribution to the literature on emerging technologies and SCR.

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Section: Discussionmentioning

confidence: 99%

Blockchain technology adoption and supply chain resilience: exploring the role of transformational supply chain leadership

Liu,

Fang,

Feng

et al. 2024

SCM

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“…When equipment failures are detected in advance, organizations can plan maintenance activities during scheduled downtime, reducing the need for emergency repairs. This proactive approach minimizes the exposure of maintenance personnel to potentially hazardous situations and improves overall workplace safety (Patil et al 2023;Charles et al 2023;Emrouznejad et al 2023). Figure 1 presents the general stages of risk management from 1900 to our days.…”

Section: Predictive Maintenancementioning

confidence: 99%

The Role of Artificial Intelligence Technology in Predictive Risk Assessment for Business Continuity: A Case Study of Greece

Kalogiannidis,

Kalfas,

Papaevangelou

et al. 2024

Risks

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This study examined the efficacy of artificial intelligence (AI) technologies in predictive risk assessment and their contribution to ensuring business continuity. This research aimed to understand how different AI components, such as natural language processing (NLP), AI-powered data analytics, AI-driven predictive maintenance, and AI integration in incident response planning, enhance risk assessment and support business continuity in an environment where businesses face a myriad of risks, including natural disasters, cyberattacks, and economic fluctuations. A cross-sectional design and quantitative method were used to collect data for this study from a sample of 360 technology specialists. The results of this study show that AI technologies have a major impact on business continuity and predictive risk assessment. Notably, it was discovered that NLP improved the accuracy and speed of risk assessment procedures. The integration of AI into incident response plans was particularly effective, greatly decreasing company interruptions and improving recovery from unforeseen events. It is advised that businesses invest in AI skills, particularly in fields such as NLP for automated risk assessment, data analytics for prompt risk detection, predictive maintenance for operational effectiveness, and AI-enhanced incident response planning for crisis management.

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