What is he best known for?
The fields of study he is best known for:
- Marketing
- The Internet
- Information technology
Keng-Boon Ooi mainly investigates Marketing, Knowledge management, Response rate, Technology acceptance model and Supply chain.
Marketing and Social influence are frequently intertwined in his study.
His Social influence study incorporates themes from Control variable, Affect and Consumer behaviour.
His study in the fields of Knowledge sharing under the domain of Knowledge management overlaps with other disciplines such as Information technology, Original research, Empirical evidence and Manufacturing sector.
His study looks at the relationship between Supply chain and topics such as Industrial organization, which overlap with Finance and Intellectual capital.
His research in Emerging markets focuses on subjects like Mobile device, which are connected to Advertising.
His most cited work include:
- What drives Malaysian m‐commerce adoption? An empirical analysis (334 citations)
- Predicting consumer decisions to adopt mobile commerce (301 citations)
- Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach (197 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Knowledge management, Marketing, Total quality management, Structural equation modeling and Mobile payment.
His biological study spans a wide range of topics, including Manufacturing and Conceptual model.
As part of the same scientific family, Keng-Boon Ooi usually focuses on Marketing, concentrating on Social influence and intersecting with Consumer behaviour.
His study in Total quality management is interdisciplinary in nature, drawing from both Service, Strategic planning and Quality management.
His work in Structural equation modeling covers topics such as Expectancy theory which are related to areas like Mobile device.
His study explores the link between Mobile payment and topics such as Mobile technology that cross with problems in Service, Advertising, Unified theory of acceptance and use of technology and Artificial neural network.
He most often published in these fields:
- Knowledge management (39.10%)
- Marketing (34.62%)
- Total quality management (23.72%)
What were the highlights of his more recent work (between 2019-2021)?
- Mobile payment (15.38%)
- Mobile technology (16.03%)
- Knowledge management (39.10%)
In recent papers he was focusing on the following fields of study:
Keng-Boon Ooi mainly focuses on Mobile payment, Mobile technology, Knowledge management, Artificial neural network and Telecommunications.
Keng-Boon Ooi combines subjects such as Affect, Mobile commerce and Artificial intelligence with his study of Mobile payment.
His studies in Mobile commerce integrate themes in fields like Cash and Conceptual model.
His Mobile technology research is multidisciplinary, relying on both Structural equation modeling and Advertising.
Keng-Boon Ooi has researched Knowledge management in several fields, including Online advertising, Scale and Service provider.
His Artificial neural network study combines topics in areas such as Developing country, Robustness and Service.
Between 2019 and 2021, his most popular works were:
- Time to seize the digital evolution: Adoption of blockchain in operations and supply chain management among Malaysian SMEs (48 citations)
- Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach (30 citations)
- Unearthing the determinants of Blockchain adoption in supply chain management (17 citations)
In his most recent research, the most cited papers focused on:
- Marketing
- The Internet
- Information technology
Supply chain management, Mobile payment, Mobile technology, Blockchain and Industrial organization are his primary areas of study.
His research integrates issues of Telecommunications, Retail industry, Mobile commerce and Artificial intelligence in his study of Mobile payment.
His Artificial intelligence research incorporates elements of Novelty and Knowledge management.
The study incorporates disciplines such as Artificial neural network and Structural equation modeling in addition to Novelty.
Keng-Boon Ooi interconnects Expectancy theory and Transparency in the investigation of issues within Blockchain.
His Industrial organization research incorporates themes from Business process and Immutability.
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