A5020706744- Supply Chain and Inventory Management
- Sustainable Supply Chain Management
- Consumer Market Behavior and Pricing
- Supply Chain Resilience and Risk Management
- Energy, Environment, Economic Growth
- Digital Platforms and Economics
- Quality and Supply Management
- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Environmental Impact and Sustainability
- Auction Theory and Applications
- Advanced Algorithms and Applications
- Islamic Studies and History
- Environmental Sustainability in Business
- Industrial Technology and Control Systems
- Assembly Line Balancing Optimization
- Advanced Sensor and Control Systems
- Remote Sensing and Land Use
- Rice Cultivation and Yield Improvement
- Simulation and Modeling Applications
- Consumer Retail Behavior Studies
- Agricultural Economics and Practices
- Advanced Computational Techniques and Applications
- Advanced Data Compression Techniques
- Parasites and Host Interactions
Beijing Institute of Technology
2016-2025
China National Petroleum Corporation (China)
2025
China Academy of Engineering Physics
2017-2024
Guangxi Normal University
2003-2024
Shandong University
2006-2024
China Southern Power Grid (China)
2016-2024
Xi'an University of Science and Technology
2011-2024
Sichuan Agricultural University
2018-2024
Nanjing Institute of Technology
2016-2024
Utah State University
2017-2024
Abstract The last decade has witnessed a sharp rising trend in environmental awareness and protection China. Green supply chain management (GSCM) been regarded as an effective tool China for mitigating the negative effects that firms have on environment. However, extent to which GSCM pressures influence practices, whether how practices affect performance are topics remain under‐explored. Combining Institutional Theory, Resource‐Based View (RBV) literature GSCM, our study sheds light...
In recent years, the rapid development of online marketplaces has given rise not only to co‐opetitive relationships between sellers but also information asymmetries and sellers. This study studies sharing in an e‐commerce setting consisting marketplace, upstream manufacturer a reseller, where marketplace possesses superior demand information, while reseller engage structure. The procures products from under wholesale price contract, both sell through by paying proportional commission fee. We...
In the context of Industry 4.0, corporate social responsibility (CSR) plays an increasingly important role in firm risk management. To mitigate and improve operational productivity, artificial intelligence (AI), a key disruptive technology, has been employed many industries. this study, we examine relationship between CSR idiosyncratic (IR) as moderated by AI innovation efficiency based on data from 1614 firms China during period 2010 to 2017. The empirical results show that can negatively...
Given the rapid increase of residential energy consumption in Beijing, question how to promote energy-saving behavior is an emerging topic that increasingly engaging attention scholars. To address this issue, paper provides empirical analysis identifies and explores determinants behavioral intention among residents from perspective theory planned (TPB). A theoretical model was constructed by refining extending classic TPB according scope requirements study existing situation China. Survey...
Background. In Japan, "Shinrin-yoku" or forest bathing (spending time in forests) is a major practice used for relaxation. However, its effects on promoting human mental health are still under consideration. The objective of this study was to investigate the physiological and psychological relaxation walking adults. Sixty participants (50% males; 50% females) were trained walk 15-minute predetermined courses bamboo city area (control). length same allow comparison both environments. Blood...
As market competition intensifies, customer churn management is increasingly becoming an important means of competitive advantage for companies. However, when dealing with big data in the industry, existing prediction models cannot work very well. In addition, decision makers are always faced imprecise operations management. response to these difficulties, a new clustering algorithm called semantic-driven subtractive method (SDSCM) proposed. Experimental results indicate that SDSCM has...
ABSTRACT We investigate a manufacturer's information acquisition and subsidization strategies in supply chain featuring two competing retailers who sell substitutable products have private demand information. The manufacturer can decide whether to acquire at cost further offer subsidies simultaneously induce their sharing of demonstrate that subsidizing is always the interest, but direct profitable only if its low. Information helps gain superior leverages retailer's advantage, thereby...
In finance and accounting, relative to quantitative methods traditionally used, textual analysis becomes popular recently despite of its substantially less precise manner. an overview the literature, we describe various used in analysis, especially machine learning. By comparing their classification performance, find that neural network outperforms many other learning techniques classifying news category. Moreover, highlight there are challenges left for future development such as...