scholarly journals Blockchain Based Sensitive Data Management by Using Key Escrow Encryption System From the Perspective of Supply Chain

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 154269-154280
Author(s):  
Sungyong Cha ◽  
Seungsoo Baek ◽  
Seungjoo Kim
Keyword(s):  
Supply Chain ◽  
Data Management ◽  
Sensitive Data ◽  
Key Escrow

scholarly journals On Blockchain Integration with Supply Chain: Overview on Data Transparency

Logistics ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 46
Author(s):  
Houssein Hellani ◽  
Layth Sliman ◽  
Abed Ellatif Samhat ◽  
Ernesto Exposito
Keyword(s):  
Supply Chain ◽  
Data Access ◽  
Sensitive Data ◽  
Promising Technology ◽  
Data Transparency

Data transparency is essential in the modern supply chain to improve trust and boost collaboration among partners. In this context, Blockchain is a promising technology to provide full transparency across the entire supply chain. However, Blockchain was originally designed to provide full transparency and uncontrolled data access. This leads many market actors to avoid Blockchain as they fear for their confidentiality. In this paper, we highlight the requirements and challenges of supply chain transparency. We then investigate a set of supply chain projects that tackle data transparency issues by utilizing Blockchain in their core platform in different manners. Furthermore, we analyze the projects’ techniques and the tools utilized to customize transparency. As a result of the projects’ analyses, we identified that further enhancements are needed to set a balance between the data transparency and process opacity required by different partners, to ensure the confidentiality of their processes and to control access to sensitive data.

A Framework for Secure and Trustworthy Data Management in Supply Chain

2019 ◽  
pp. 148-159
Author(s):  
Shinsaku Kiyomoto ◽  
Yuto Nakano ◽  
Atsushi Waseda ◽  
Toru Nakamura ◽  
Masahito Ishizaka ◽  
...  
Keyword(s):  
Supply Chain ◽  
Data Management

Data Management at the University of Iowa: A University Libraries Report on Campus Research Data Needs

2020 ◽  
Author(s):  
Shawn Averkamp ◽  
Xiaomei Gu ◽  
Ben Rogers
Keyword(s):  
Data Collection ◽  
Data Management ◽  
Data Storage ◽  
Analysis Data ◽  
Data Publishing ◽  
Second Phase ◽  
Sensitive Data ◽  
University Of Iowa ◽  
Challenges And Opportunities ◽  
The University

<p>This data management report was commissioned by the University of Iowa Libraries with the intention of performing a survey of the campus landscape and identifying gaps in data management services. The first stage of data collection consisted of a survey conducted during summer 2012 to which 784 responses were received. The second phase of data collection consisted of approximately 40 in-depth interviews with individuals from the campus and were completed during summer 2013. Findings are presented as challenges and opportunities within five broad areas of data management: data management planning, data storage, data organization and analysis, data publishing and dissemination and sensitive data and compliance, with additional findings reported in the areas of research culture and funding models.</p>

BUSINESS ANALYTICS FOR SUPPLY CHAIN: A DYNAMIC-CAPABILITIES FRAMEWORK

2013 ◽  
Vol 12 (01) ◽  
pp. 9-26 ◽  
Author(s):  
BONGSUG (KEVIN) CHAE ◽  
DAVID L. OLSON
Keyword(s):  
Supply Chain ◽  
Data Management ◽  
Performance Management ◽  
Dynamic Capabilities ◽  
Process Capability ◽  
Supply Chain Performance ◽  
Chain Process ◽  
Business Analytics ◽  
Management Capability ◽  
Supply Chain Process

Supply chain management has become more important as an academic topic due to trends in globalization leading to massive reallocation of production related advantages. Because of the massive amount of data that is generated in the global economy, new tools need to be developed in order to manage and analyze the data, as well as to monitor organizational performance worldwide. This paper proposes a framework of business analytics for supply chain analytics (SCA) as IT-enabled, analytical dynamic capabilities composed of data management capability, analytical supply chain process capability, and supply chain performance management capability. This paper also presents a dynamic-capabilities view of SCA and extensively describes a set of its three capabilities: data management capability, analytical supply chain process capability, and supply chain performance management capability. Next, using the SCM best practice, sales & operations planning (S&OP), the paper demonstrates opportunities to apply SCA in an integrated way. In discussing the implications of the proposed framework, finally, the paper examines several propositions predicting the positive impact of SCA and its individual capability on SCM performance.

scholarly journals Value Proposition Assessment of Blockchain Technology for Luxury, Food, and Healthcare Supply Chains

Logistics ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 85
Author(s):  
Moritz Berneis ◽  
Herwig Winkler
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Best Practice ◽  
Added Value ◽  
Value Proposition ◽  
Trade Volume ◽  
Relevant Research ◽  
Sensitive Data ◽  
Chain Management ◽  
Blockchain Technology

Background: In relevant research, blockchain technology (BCT) is credited with great potential for supply chain management (SCM). However, even after more than 10 years of the technology’s existence, it is barely used for any self-sustaining applications. This raises the question of why BC cannot prevail against its alternatives. With this paper we want to identify criteria by which the added value of BCT can be measured. Furthermore, we want to evaluate how well the different supply chains (SC) exploit the added values of BCT. Methods: For this, we identified real-world examples and case studies for luxury, food, and healthcare SCs. These examples are described in detail and then analyzed for their added value compared to possible alternatives. Results: The results show that in the clusters of food and healthcare SCs, no general added value of BC over current best-practice solutions could be verified. Luxury SCs manage valuable products that are typically traded in small quantities. It is within this cluster that the implementation of BC can be justified best. Conclusions: In conclusion, this study shows that the application of BCT is especially beneficial for goods with a high value and low trade volume. In addition, the interface between reality and the digital twin should be as secure as the database or BC solution itself. Furthermore, the demand for transparency and immutability of data should be more important than the need to protect sensitive data. Finally, SC participants, especially the end customer, must also be able to appreciate the advantages of BCT.

Blockchain for Convergence Science in Mental Health

2021 ◽  
pp. 345-358
Author(s):  
Wendy Charles
Keyword(s):  
Mental Health ◽  
Supply Chain ◽  
Data Processing ◽  
Data Management ◽  
General Public ◽  
Development Stage ◽  
Health Community ◽  
Management Technology

Blockchain is an innovative data management technology using distributed ledgers that has potential to achieve efficiency in data processing and greater control over healthcare record access. Interest is growing beyond uses for cryptocurrency, but blockchain technologies remain poorly understood in the general public and healthcare community. While there are many promising uses for healthcare and supply chain, most potential uses of blockchain for mental health are still in the pilot or development stage. This chapter presents blockchain to the mental health community with a detailed introduction to the unique facets blockchain with a few examples of current uses of blockchain in healthcare with promising proposed uses for mental health.

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