What is she best known for?
The fields of study she is best known for:
- Statistics
- Marketing
- Artificial intelligence
Jennifer Shang mainly investigates Supply chain, Marketing, Operations research, Supply chain management and Analytic hierarchy process.
Her Supply chain research includes themes of Quality management, Order, Profit and Environmental economics.
Her research on Marketing often connects related areas such as Incentive.
The concepts of her Operations research study are interwoven with issues in Structure and Outcome.
Her Supply chain management study combines topics in areas such as Mechanism, Channel power, Communication channel and Operations management.
The Analytic hierarchy process study combines topics in areas such as Root cause, Variation, Selection and Personnel selection.
Her most cited work include:
- Learning from class-imbalanced data (617 citations)
- Enhancing data consistency in decision matrix: Adapting Hadamard model to mitigate judgment contradiction (189 citations)
- Contract design for two-stage supply chain coordination: Integrating manufacturer-quality and retailer-marketing efforts (111 citations)
What are the main themes of her work throughout her whole career to date?
Jennifer Shang focuses on Supply chain, Operations research, Microeconomics, Industrial organization and Profit.
Jennifer Shang has included themes like Stackelberg competition and Operations management in her Supply chain study.
In the field of Operations research, her study on Analytic hierarchy process overlaps with subjects such as Vehicle routing problem.
Her work on Competition is typically connected to E-commerce and Nonlinear mixed integer programming as part of general Microeconomics study, connecting several disciplines of science.
Her Industrial organization research integrates issues from Information asymmetry and Game theory.
Her work in Profit addresses issues such as Profitability index, which are connected to fields such as Marketing.
She most often published in these fields:
- Supply chain (19.01%)
- Operations research (16.53%)
- Microeconomics (13.22%)
What were the highlights of her more recent work (between 2019-2021)?
- Microeconomics (13.22%)
- Quality (4.96%)
- Supply chain (19.01%)
In recent papers she was focusing on the following fields of study:
The scientist’s investigation covers issues in Microeconomics, Quality, Supply chain, Operations research and Order.
The various areas that Jennifer Shang examines in her Microeconomics study include Order and Profit margin.
Her Quality research is multidisciplinary, incorporating perspectives in Green market, Absorptive capacity, Competitive advantage and Market orientation.
The study incorporates disciplines such as Range and Industrial organization in addition to Supply chain.
Her Operations research research incorporates themes from Scarcity, Differential evolution and Code.
Her Order study combines topics from a wide range of disciplines, such as Obsolescence, Dynamic programming, Dynamic programming model and Inventory control.
Between 2019 and 2021, her most popular works were:
- Supply allocation: bi-level programming and differential evolution algorithm for Natural Disaster Relief (10 citations)
- Modeling the dynamics of online review life cycle: Role of social and economic moderations (6 citations)
- Social collateral, soft information and online peer-to-peer lending: A theoretical model (5 citations)
In her most recent research, the most cited papers focused on:
- Statistics
- Artificial intelligence
- Marketing
Her primary areas of study are Resource allocation, Business model, Welfare, Finance and Bond market.
Her Resource allocation research overlaps with other disciplines such as Natural disaster, Differential evolution, Code, Scarcity and JADE.
Among her Natural disaster studies, there is a synthesis of other scientific areas such as Process and Operations research.
Her Business model research is multidisciplinary, relying on both Empirical research, Collateral and Peer-to-peer.
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