What is he best known for?
The fields of study he is best known for:
- Finance
- Statistics
- Management
His main research concerns Risk management, Supply chain, Risk analysis, Supply chain management and Risk analysis.
Desheng Dash Wu is studying Enterprise risk management, which is a component of Risk management.
His Supply chain research integrates issues from Financial management and Identification.
His studies in Supply chain management integrate themes in fields like Production, Microeconomics, Benchmarking and Theory of computation.
Desheng Dash Wu has researched Risk analysis in several fields, including Selection, Risk factor, Qualitative property and Operations research.
Desheng Dash Wu studied Operations research and Fuzzy logic that intersect with Data envelopment analysis.
His most cited work include:
- Using text mining and sentiment analysis for online forums hotspot detection and forecast (324 citations)
- Power load forecasting using support vector machine and ant colony optimization (265 citations)
- Fuzzy multi-objective programming for supplier selection and risk modeling: A possibility approach (186 citations)
What are the main themes of his work throughout his whole career to date?
Desheng Dash Wu focuses on Risk management, Supply chain, Enterprise risk management, Data envelopment analysis and Risk analysis.
His research integrates issues of Financial risk, Risk analysis and Knowledge management in his study of Risk management.
Desheng Dash Wu works mostly in the field of Supply chain, limiting it down to topics relating to Operations management and, in certain cases, Profit, as a part of the same area of interest.
Desheng Dash Wu combines subjects such as Actuarial science, Industrial organization, Econometrics and Operations research with his study of Data envelopment analysis.
His study looks at the relationship between Operations research and topics such as Selection, which overlap with Fuzzy logic.
Desheng Dash Wu has included themes like Risk management tools and Risk analysis in his Risk analysis study.
He most often published in these fields:
- Risk management (46.98%)
- Supply chain (26.85%)
- Enterprise risk management (18.79%)
What were the highlights of his more recent work (between 2014-2018)?
- Risk management (46.98%)
- Supply chain (26.85%)
- Industrial organization (10.07%)
In recent papers he was focusing on the following fields of study:
Desheng Dash Wu mainly focuses on Risk management, Supply chain, Industrial organization, Financial risk and Data envelopment analysis.
His work on Enterprise risk management as part of general Risk management research is frequently linked to Globalization, thereby connecting diverse disciplines of science.
His work deals with themes such as Lead time and Environmental planning, which intersect with Supply chain.
His Financial risk research includes elements of Financial risk management, Risk financing, Financial instrument and Financial system.
His studies deal with areas such as Bank management, Competitive advantage and Financial services as well as Data envelopment analysis.
His study in Risk analysis is interdisciplinary in nature, drawing from both IT risk management and Digital firm, Enterprise software.
Between 2014 and 2018, his most popular works were:
- Decision making in enterprise risk management: A review and introduction to special issue (54 citations)
- Bi‐level Programing Merger Evaluation and Application to Banking Operations (35 citations)
- Supply chain coordination through integration of innovation effort and advertising support (31 citations)
In his most recent research, the most cited papers focused on:
- Finance
- Statistics
- Management
Desheng Dash Wu mostly deals with Supply chain, Microeconomics, Consumer behaviour, Mathematical optimization and Social relation.
Desheng Dash Wu applies his multidisciplinary studies on Supply chain and Lead in his research.
His Microeconomics study combines topics in areas such as Service quality and Cash flow statement, Price/cash flow ratio, Cash conversion cycle, Operating cash flow.
His Consumer behaviour study integrates concerns from other disciplines, such as Quality, Duopoly, Outsourcing, Willingness to pay and Service.
The study incorporates disciplines such as Reduction and Support vector machine in addition to Mathematical optimization.
His Social relation research incorporates elements of Newsvendor model, Valuation and Information and Computer Science.
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