Technology Innovation and Entrepreneurship

We conduct research in technology and innovation management. We examine innovation management in both start-ups/SMEs as well as large organisations.

For entrepreneurs of start-ups/SMEs, we examine the challenges they face, and what entrepreneurial strategies, approaches, and best practices can help them to overcome any obstacles effectively.

For large organisations, we examine the importance of research in innovation. We also look at creative and cognitive profiles of employees, and how they can help drive innovation.

In addition, we explore innovative business models and the use of iterative approaches, such as design thinking. 


Selected Publications

X.Shi, Y.D. Wong, C. Chai and M.Z.F. Li (2020) “An automated machine learning (AutoML) method of risk prediction for decision-making of autonomous vehicles" IEEE Transactions on Intelligent Transportation Systems (forthcoming) 

Khuntia, J., Kathuria, A., Andrade-Rojas M.G., Saldanha, T., Celly, N. 2020. How Foreign and Domestic Firms Differ in Leveraging IT-enabled Supply Chain Information Integration in BOP Markets: The Role of Supplier and Client Business Collaboration. Journal of the Association for Information Systems. Forthcoming.

Karimikia, Hadi; Singh, Harminder; Joseph, Damien. Negative Outcomes of ICT Use at Work: Meta-Analytic Evidence and the Role of Job Autonomy, Forthcoming at Internet Research.

X. Shi, C. Chai, M.Z.F. Li, P. Chandrasekar and Y. D. Wong (2019). A Feature Learning Approach Based on XGBoost for Driving Assessment and Rick Prediction. Accident Analysis & Prevention 129, 170-179. 

X. Shi, Y. D. Wong, M.Z.F. Li and C. Chai. (2018). Key Risk Indicators for Accident Assessment Conditioned on Pre-Crash Vehicle Trajectory. Accident Analysis & Prevention 117, 346-356.

Teik-Toe Teoh, Yok-Yen Nguwi, Yuval Elovici, Wai-Loong Ng, Soon-Yao Thiang (2018) Analyst Intuition Inspired Neural Network Based Cyber Security Anomaly Detection. International Journal of Innovative Computing Information and Control, 14(1) pp. 379-386.

T.T. Teoh1, Y. Y. Nguwi, Yuval Elovici, Wai-Loong Ng, S.Y. Thiang  (2018)  International Journal of Innovative Computing, Information and Control (IJICIC), Analyst Intuition Inspired Neural Network Base Cyber Security Anomaly Detection Vol.14, No.1, Feb. 2018.