Lim, S.; Lee, C.-H.; Bae, J.-H.; Jeon, Y.-H. Identifying the Optimal Valuation Model for Maritime Data Assets with the Analytic Hierarchy Process (AHP). Sustainability2024, 16, 3284.
Lim, S.; Lee, C.-H.; Bae, J.-H.; Jeon, Y.-H. Identifying the Optimal Valuation Model for Maritime Data Assets with the Analytic Hierarchy Process (AHP). Sustainability 2024, 16, 3284.
Lim, S.; Lee, C.-H.; Bae, J.-H.; Jeon, Y.-H. Identifying the Optimal Valuation Model for Maritime Data Assets with the Analytic Hierarchy Process (AHP). Sustainability2024, 16, 3284.
Lim, S.; Lee, C.-H.; Bae, J.-H.; Jeon, Y.-H. Identifying the Optimal Valuation Model for Maritime Data Assets with the Analytic Hierarchy Process (AHP). Sustainability 2024, 16, 3284.
Abstract
Maritime data not only identify financial resources that can significantly enhance the efficiency of shipping companies but also play a pivotal role in promoting eco-friendly and sustainable shipping practices. However, active corporate strategies are required to include maritime data essential for the commercial operation of autonomous ships in the form of corporate assets by transparent evaluating the data. The aim of this study is to review previous studies on da-ta-valuation models, identify a valuation model suitable for maritime business, consider the characteristics of maritime data. The analytic hierarchy process (AHP) method is used to derive priorities for valuing maritime data assets, with emphasis placed on the characteristics of mari-time data, followed by the character of the future-oriented maritime-data market and the da-ta-valuation model. The results obtained that the most important factors in selecting a maritime data-valuation model by analyzing the AHP method were identified as the characteristics of the maritime data(M1). The next most important factors analyzed were the features of the mari-time-data market(M2) and the features of the maritime data-valuation model(M3) in order. In addition, the characteristics of maritime data were preferentially considered among the main criteria, and the market approach (A2) was selected as the most optimal valuation model. The potential impact of this implementation could contribute to the establishment of an intelligent technology market by estimating the value of data and developing a platform for maritime data trading, allowing for more efficient data sharing and utilization by maritime autonomous sur-face ship(MASS).
Keywords
maritime data; maritime autonomous surface ship(MASS); maritime data trading platform; sustainable shipping; asset valuation model
Subject
Social Sciences, Decision Sciences
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
