The Experts below are selected from a list of 127068 Experts worldwide ranked by ideXlab platform
Suyuan Luo - One of the best experts on this subject based on the ideXlab platform.
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Data Quality challenges for sustainable fashion supply chain operations in emerging markets roles of blockchain government sponsors and environment taxes
Transportation Research Part E-logistics and Transportation Review, 2019Co-Authors: Tsan-ming Choi, Suyuan LuoAbstract:Abstract In emerging markets, there are Data Quality problems. In this paper, we establish theoretical models to explore how Data Quality problems affect sustainable fashion supply chain operations. We start with the decentralized supply chain and find that Poor Data Quality lowers supply chain profit and social welfare. We consider the implementation of blockchain to help and identify the situation in which blockchain helps enhance social welfare but brings harm to supply chain profitability. We propose a government sponsor scheme as well as an environment taxation waiving scheme to help. We further extend the study to the centralized supply chain setting.
Tsan-ming Choi - One of the best experts on this subject based on the ideXlab platform.
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Data Quality challenges for sustainable fashion supply chain operations in emerging markets roles of blockchain government sponsors and environment taxes
Transportation Research Part E-logistics and Transportation Review, 2019Co-Authors: Tsan-ming Choi, Suyuan LuoAbstract:Abstract In emerging markets, there are Data Quality problems. In this paper, we establish theoretical models to explore how Data Quality problems affect sustainable fashion supply chain operations. We start with the decentralized supply chain and find that Poor Data Quality lowers supply chain profit and social welfare. We consider the implementation of blockchain to help and identify the situation in which blockchain helps enhance social welfare but brings harm to supply chain profitability. We propose a government sponsor scheme as well as an environment taxation waiving scheme to help. We further extend the study to the centralized supply chain setting.
Viveca Asproth - One of the best experts on this subject based on the ideXlab platform.
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Visualisation of Data Quality in decision-support systems
International Journal of Applied Systemic Studies, 2008Co-Authors: Viveca AsprothAbstract:When designing a decision-support system, much effort is made to find the best fitting models and to examine which Data to include and which algorithms to use. However, the error propagation involved in Poor Data Quality can deteriorate dramatically the accuracy of the output results. The user of the system is often unaware of the weaknesses and deficiencies in Data Quality. In this paper, analysis and evaluation of Data Quality is discussed. Further, the paper introduces visualisation aids into the system to help augment our awareness of the underlying Data Quality in decision-support systems and guide our focus of attention.
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Visualization of Data Quality and Uncertainty in Decision Support Systems
2008Co-Authors: Viveca Asproth, Anita HåkanssonAbstract:in the best way to the decision situation. The examination of which type of Data to include and the working out of algoritms are thoroughly carried out. However, the error propagation involved in Poor Data Quality can deteriorate dramatically the accuracy of the output results. The user of the decision support system is often unaware of the weaknesses and deficiencies in Data Quality. In this paper analysis and evaluation of Data Quality is discussed. Further, the paper introduces visualisation aids into the decision support system to help augment our awareness of the underlying Data Quality in decision support systems and help in guiding our focus of attention.
Anita Håkansson - One of the best experts on this subject based on the ideXlab platform.
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Visualization of Data Quality and Uncertainty in Decision Support Systems
2008Co-Authors: Viveca Asproth, Anita HåkanssonAbstract:in the best way to the decision situation. The examination of which type of Data to include and the working out of algoritms are thoroughly carried out. However, the error propagation involved in Poor Data Quality can deteriorate dramatically the accuracy of the output results. The user of the decision support system is often unaware of the weaknesses and deficiencies in Data Quality. In this paper analysis and evaluation of Data Quality is discussed. Further, the paper introduces visualisation aids into the decision support system to help augment our awareness of the underlying Data Quality in decision support systems and help in guiding our focus of attention.
Robert J Bowman - One of the best experts on this subject based on the ideXlab platform.
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Poor Data Quality HAMPERS INVENTORY TRACKING SYSTEMS
Global Logistics & Supply Chain Strategies, 2000Co-Authors: Robert J BowmanAbstract:SUBTITLE: THANKS TO STATE-OF-THE-ART TECHNOLOGY, SHIPPERS TODAY CAN SEE FOR MILES -- AS LONG AS THEIR SUPPLY-CHAIN PARTNERS ARE WILLING TO PART WITH THE INFORMATION.