Enhancing Business Data Sharing in the Supply Chain Domain: A Framework of Infrastructural and Institutional Instruments

Master Thesis (2023)
Author(s)

R. Abbineni (TU Delft - Technology, Policy and Management)

Contributor(s)

Anneke van Eijk – Mentor (TU Delft - Information and Communication Technology)

W.W. Veeneman – Graduation committee member (TU Delft - Organisation & Governance)

Faculty
Technology, Policy and Management
Copyright
© 2023 Rishika Abbineni
More Info
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Publication Year
2023
Language
English
Copyright
© 2023 Rishika Abbineni
Graduation Date
14-08-2023
Awarding Institution
Delft University of Technology
Programme
Management of Technology (MoT)
Faculty
Technology, Policy and Management
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Abstract

Effective data sharing plays a pivotal role in optimizing supply chain management and driving the operational excellence of businesses. However, certain barriers and challenges exist among the supply chain partners in communication and data exchange. This thesis investigates these barriers and proposes potential solutions, referred to as instruments, for data sharing in supply chains. The objective is to develop and validate a framework that addresses feasible barriers in high-tech supply chain organizations. Single case study interviews in a high-tech supply chain firm assess the framework's applicability, followed by a validation phase to test its generalizability. Infrastructural instruments include ICT, Blockchain, AI, ML, data standardization, and data security measures. Institutional instruments encompass cultural factors, trust-building techniques, contractual agreements, education and training programs, leadership practices, and ethical data sharing. The research contribution extends to a strategic deployment plan for these instruments, offering valuable insights to supply chain professionals. Additionally, the research emphasizes the significance of viewing risk as a comprehensive concept in relation to trust, technology, privacy, and governance-related barriers.

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