What is he best known for?
The fields of study he is best known for:
- Management
- Marketing
- The Internet
Knowledge management, Marketing, Supply chain management, Empirical research and Supply chain are his primary areas of study.
He performs integrative study on Knowledge management and Exploratory research.
His E-procurement, Purchasing and Critical success factor study, which is part of a larger body of work in Marketing, is frequently linked to Relationship marketing, bridging the gap between disciplines.
His Critical success factor research focuses on Process and how it relates to Data mining.
The Supply chain management study combines topics in areas such as Operations research, The Internet and Process management.
His Supply chain research focuses on subjects like Industrial organization, which are linked to Service and Self-assessment.
His most cited work include:
- Information systems in supply chain integration and management (897 citations)
- Review: Application of data mining techniques in customer relationship management: A literature review and classification (848 citations)
- RFID research: An academic literature review (1995–2005) and future research directions (597 citations)
What are the main themes of his work throughout his whole career to date?
Eric W.T. Ngai mainly focuses on Knowledge management, Marketing, Supply chain, Supply chain management and Process management.
He has researched Knowledge management in several fields, including Business process, Management information systems, The Internet, Business value and Senior management.
When carried out as part of a general Marketing research project, his work on Critical success factor and Customer relationship management is frequently linked to work in Empirical research and Radio-frequency identification, therefore connecting diverse disciplines of study.
The study incorporates disciplines such as Competitive advantage and Process in addition to Supply chain.
His studies deal with areas such as Operations research and Flexibility as well as Supply chain management.
His Process management study frequently links to other fields, such as Operations management.
He most often published in these fields:
- Knowledge management (29.49%)
- Marketing (26.73%)
- Supply chain (13.82%)
What were the highlights of his more recent work (between 2016-2021)?
- Big data (5.07%)
- Data science (5.53%)
- Knowledge management (29.49%)
In recent papers he was focusing on the following fields of study:
Eric W.T. Ngai mostly deals with Big data, Data science, Knowledge management, Marketing and Supply chain.
His research in Big data intersects with topics in Supply chain management and Service level.
His study looks at the relationship between Supply chain management and topics such as Flexibility, which overlap with Manufacturing.
His work on Analytics is typically connected to Market efficiency as part of general Data science study, connecting several disciplines of science.
His work carried out in the field of Knowledge management brings together such families of science as Resource based, Data breach and Service.
In general Marketing, his work in Customer relationship management is often linked to Value creation linking many areas of study.
Between 2016 and 2021, his most popular works were:
- The effects of strategic and manufacturing flexibilities and supply chain agility on firm performance in the fashion industry (124 citations)
- Big data analytics in logistics and supply chain management (44 citations)
- Big data analytics in operations and supply chain management (35 citations)
In his most recent research, the most cited papers focused on:
- Management
- Marketing
- The Internet
The scientist’s investigation covers issues in Big data, Data science, Process management, Supply chain management and Market efficiency.
His Big data study integrates concerns from other disciplines, such as Mathematical optimization and Service level.
His Data science research incorporates themes from Business analytics, Production manager, Outsourcing and Task.
His Process management research is multidisciplinary, incorporating elements of Supply chain, Bridging, Manufacturing and Scope.
His Supply chain management research integrates issues from Structural equation modeling, Theory of computation and Flexibility.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
