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.
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.
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.
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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Learning from class-imbalanced data
Guo Haixiang;Li Yijing;Jennifer Shang;Gu Mingyun.
Enhancing data consistency in decision matrix: Adapting Hadamard model to mitigate judgment contradiction
Gang Kou;Daji Ergu;Daji Ergu;Jennifer Shang.
Contract design for two-stage supply chain coordination: Integrating manufacturer-quality and retailer-marketing efforts
Peng Ma;Haiyan Wang;Jennifer Shang.
Why Do Software Firms Fail? Capabilities, Competitive Actions, and Firm Survival in the Software Industry from 1995 to 2007
Shanling Li;Jennifer Shang;Sandra A. Slaughter.
An innovative orders-of-magnitude approach to AHP-based mutli-criteria decision making: Prioritizing divergent intangible humane acts
Thomas L. Saaty;Jennifer S. Shang.
Firm-level outsourcing decision making: A balanced scorecard-based analytic network process model
Youxu Tjader;Jerrold H. May;Jennifer Shang;Luis G. Vargas.
A unified framework for multicriteria evaluation of transportation projects
J.S. Shang;Youxu Tjader;Yizhong Ding.
Maximizing customer satisfaction through an online recommendation system: A novel associative classification model
Yuanchun Jiang;Jennifer Shang;Yezheng Liu.
Supply chain channel strategies with quality and marketing effort-dependent demand
Peng Ma;Peng Ma;Haiyan Wang;Jennifer Shang.
Decision making in academia: A case of the dean selection process
Ray Gibney;Jennifer Shang.
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