Big Data Governance for Smart Logistics: A Value-Added Perspective

For the last five years, worldwide curiosity concerning big data has sharply increased, along with cloud computing and the Internet of Things (IoT). However, without reasonable governance of the role of and value-sharing among stakeholders, it is difficult to recognize big data’s potential value, beyond the raw data. This research suggests refinements to this governance, in terms of cross-sector collaboration for the benefit of all. This is particularly true for those in the logistics sector, which is one of the most promising, although it is composed of complicated and exclusive industries. For the development/evaluation of such governance, we designed a new business model that governs stakeholder roles and responsibilities, and presented a case study on shipping reefer (refrigerated) containers. We found that our model is applicable to both the private and public sectors for smart logistics, and feasible for resolving conventional logistical challenges such as security, smuggling, and indemnification disputes.