2023 - Research.com Business and Management in Malaysia Leader Award
2022 - Research.com Business and Management in Malaysia Leader Award
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 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.
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.
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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What drives Malaysian m‐commerce adoption? An empirical analysis
Toh Tsu Wei;Govindan Marthandan;Alain Yee Loong Chong;Keng Boon Ooi.
Predicting consumer decisions to adopt mobile commerce
Alain Yee-Loong Chong;Felix T.S. Chan;Keng-Boon Ooi.
Online banking adoption: an empirical analysis
Alain Yee Loong Chong;Keng Boon Ooi;Binshan Lin;Boon In Tan.
Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach
Lai-Ying Leong;Teck-Soon Hew;Garry Wei-Han Tan;Keng-Boon Ooi.
NFC mobile credit card: The next frontier of mobile payment?
Garry Wei-Han Tan;Keng-Boon Ooi;Siong-Choy Chong;Teck-Soon Hew.
What catalyses mobile apps usage intention: an empirical analysis
Jun-Jie Hew;Voon-Hsien Lee;Keng-Boon Ooi;June Wei.
The effects of convenience and speed in m-payment
Aik-Chuan Teo;Garry Wei-Han Tan;Keng-Boon Ooi;Teck-Soon Hew.
Factors affecting the Adoption Level of C-Commerce: An Empirical Study
Alain Yee-Loong Chong;Binshan Lin;Keng-Boon Ooi;Murali Raman.
Mobile technology acceptance model
Keng-Boon Ooi;Garry Wei-Han Tan.
Predicting the drivers of behavioral intention to use mobile learning
Garry Wei-Han Tan;Keng-Boon Ooi;Lai-Ying Leong;Binshan Lin.
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