A5037524377- Multi-Criteria Decision Making
- Quality Function Deployment in Product Design
- Cognitive Science and Mapping
- Sustainable Supply Chain Management
- Supply Chain Resilience and Risk Management
- Digital Holography and Microscopy
- Knowledge Management and Sharing
- Online Learning and Analytics
- Reinforcement Learning in Robotics
- Business and Economic Development
- Advanced Manufacturing and Logistics Optimization
- Ergonomics and Human Factors
- Supply Chain and Inventory Management
- Mind wandering and attention
- Impact of Technology on Adolescents
- Quality and Supply Management
- Global Energy Security and Policy
- Food Supply Chain Traceability
- Artificial Intelligence in Games
- Outsourcing and Supply Chain Management
- Educational Games and Gamification
- Digital Marketing and Social Media
- Urban and Freight Transport Logistics
- Auction Theory and Applications
- Product Development and Customization
Hong Kong Polytechnic University
1998-2025
Hang Seng University of Hong Kong
2024
University of Hong Kong
2024
This research study explores the impact of ongoing Russian-Ukrainian conflict on ESG-enabled global supply chains, resulting in disruption to worldwide industries. The has caused product shortages, food scarcity, and significantly impacted economy. From extant literature, there is a lack understanding about effect different industries from chain perspective, as well ESG-prioritized companies. Therefore, this aims evaluate influence performance companies with respect regions their upstream...
Efficiently harnessing group wisdom in complex decision-making domains is a crucial endeavour as socioeconomic society evolves and real-life problems become increasingly intricate. The synergy of fuzzy sets, information aggregation, consensus reaching, multi-criteria decisionmaking (MCDM) techniques offers versatile framework for systematically incorporating human intelligence quantitative judgements. Best Worst Method (BWM), robust pairwise comparison-based MCDM technique, has gained...
<italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Contribution:</i> This research explores the effectiveness of a proposed teaching strategy in blockchain education, finding that it enhances learning outcomes, cognitive well-being, and student engagement tertiary ultimately resulting shallower curve for STEM knowledge. <p xmlns:xlink="http://www.w3.org/1999/xlink"> <i>Background:</i> In context Industry 4.0, technology has emerged as key driver...
Abstract With the advancement of e‐commerce and intensification market competition, many suppliers have leveraged third‐party online marketplaces to expand their sales channels bolster competitiveness. This poses potential threats e‐retailers specializing in core business certain categories. study examines a specialized e‐retailer's selling mode choice (reselling, in‐marketplace selling, or agency mode) how this interacts with supplier's channel strategy (marketplace, e‐retailer, both/dual...
The growing demand for cold chain e-fulfilment services has created challenges implementing low-carbon practices due to the use of extensive energy and insulation materials required maintain desired service quality throughout supply chain. This study applies Fuzzy Best Worst Method with group decision-making capabilities identify prioritise eco-innovation barriers in context e-fulfilment. Through analysing expert opinions, it is found that (i) integration legacy systems, (ii) high...
In real time stategy (RTS) game, there has been much interest in strategy planning research. Past works mostly focused on the development of state matching methods based weighted summation attributes. However, large decision spaces with multiple threads (e.g., resource gathering, combat units development) may lead to complicated and even impossible weight calculatious. Many approaches adopted a simplified formula assuming game features are all independent each other. Unfortunately, this is...
Best worst method (BWM) is regarded as one of the popular discrete multi-criteria decision-making approaches since 2015 to systematically understand human perspectives into various problem-solving scenarios. Recently, a number research studies extend BWM by considering fuzzy set theory, and thus type-1 interval type-2 best methods (i.e. T1FBWM IT2FBWM) are formulated, due information vagueness uncertainty. However, necessity performance incorporating advanced theories in not fully examined...