4.6 Article

Assessing the role of blockchain technology for marine bunkering operations - A case study of task technology fit

期刊

MARINE POLICY
卷 159, 期 -, 页码 -

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ELSEVIER SCI LTD
DOI: 10.1016/j.marpol.2023.105909

关键词

Blockchain; Internet of Things; Marine bunkering; Multi -party workflows; Task -technology fit; Group support systems; Legal requirements; Qualitative research; Case study

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Technology adoption is crucial for improving workflow efficiency, but selecting suitable technologies can be challenging in multi-party workflows across different geographical boundaries. This study focuses on the role of blockchain technology in marine bunkering, using the Task-Technology Fit theory and Group Support System model to investigate this concept. The analysis reveals that fit depends on legal norms, task characteristics, and technological properties. Additionally, the study highlights the blockchain framework and the role of smart contracts in the value chain.
Technology adoption is vital for improving the efficiency of workflows across value chains. However, technology selection can be challenging, especially for multi-party workflows across different geographical boundaries. The chosen technologies must satisfy the requirements of the tasks at hand and align with international and local laws and regulations. Marine bunkering is a global industry comprising multiple stakeholders with diverse roles and responsibilities that must adhere to global standards and regulations. Through a single case study, we endeavor to understand the role of blockchain technology in marine bunkering, drawing on the Task-Technology Fit theory and Group Support System model to investigate this concept. Our analysis reveals that fit depends on underlying legal norms, task characteristics, and technological properties. Furthermore, we shed light on the blockchain framework used and the role of smart contracts in the value chain. Our research offers insights into an extended Task-Technology Fit theory where stakeholders in a value chain are distributed across multiple geographical boundaries.

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