Leadership Agility In The Digital Economy
Duration: 2 Day
With immense technological advancement and an increasingly disruptive operating environment, the ability to anticipate and respond to rapidly changing conditions is at the forefront of most business leaders’ minds. To enjoy sustained success, organisations and teams require leaders who can develop an agile mindset to lead in an increasingly complex digital workplace.
The programme will enable learners to appreciate the importance of leadership agility and to lead effectively in the disruptive digital economy. Through an established framework, learners will examine their current level of leadership agility and develop it further to enhance their leadership effectiveness.
At the end of the course, participants will be able to:
- Discuss the trends, opportunities and challenges in the digital age
- Appreciate the importance of leadership agility and its impact on business
- Develop leadership agility to lead effectively
- Define team and organisation agility for business success
- Digitalisation trends in industry
- Managing digital transformation
- The need for leadership agility
- Types of leadership agility
- Key domains of actions in leadership agility
- Leadership agility levels
- Expert to catalyst
- Characteristics of highly agile leaders
- Define team agility for business performance
- Embrace organisation agility culture for success
Who Should Attend
Senior Management, Senior Managers, Managers, and corporate executives on management track
At least 3 years of working experience as a manager
(Click their photos to view their short biographies)
Assoc Prof Tan Chuan Hoo
Assoc Prof Tan Chuan Hoo is Associate Professor (tenured) and Deputy Head (Administration and Research) in the Department of Information Systems and Analytics, School of Computing at the National University of Singapore (NUS). He is the curriculum chair for the department. Prior to joining NUS, he held a tenured faculty position in Hong Kong. Chuan Hoo conducts research in the area of the digital economy, digitalization and future of work with a range of organisations and institutions. His work has appeared in premium journals such as MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Journal of AIS, ACM Transactions on Management Information Systems, IEEE Transactions on Engineering Management, Journal of American Society for Information Science and Technology, Long Range Planning among many others. He has authored over 100 peer-reviewed papers (http://goo.gl/gZcd47). He serves or has served on the editorial boards of leading journals including MIS Quarterly (Associate Editor), Journal of AIS (editorial board member), IEEE Transactions on Engineering Management (editorial board members), among others. Chuan Hoo is the recipient of the INFORMS ISS Design Science Award (2013), MIS Quarterly outstanding associate editor award (2016), Journal of AIS best reviewer award (2016), and NUS School of Computing faculty teaching excellence award (2017).
Dr Amirhassan Monajemi
Dr Amirhassan Monajemi is a Senior Lecturer in AI and Machine Learning with the School of Computing (SoC) at the National University of Singapore (NUS). Prior to SoC, he was a Senior Lecturer in NUS School of Continuing and Lifelong Education (SCALE) teaching AI and Data Science to adult learners. Before joining the NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. He was born in Isfahan, Iran. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University respectively. He got his PhD in computer engineering, pattern recognition and image processing, from the University of Bristol, Bristol, England, in 2005. His research interests include AI, Machine Learning, Machine Vision, IoT, Data Science, and their applications.
He has taught the artificial intelligence courses, including AI, Advanced AI, Expert Systems, Decision Support Systems, Neural Networks, and Cognitive Science since 2005 at both undergraduate and postgraduate levels. He was awarded the best university teacher of the province in 2012. He also has studied Learning Management Systems, E-Learning, and E-Learning for workplaces since 2007.
Dr Monajemi has registered a few patents in the fields of AI, Machine Vision, and Signal Processing applications, including an AI and machine vision-based driver drowsiness detection system and a low power consuming spherical robot. He also has published more than a hundred research papers in peer-reviewed, indexed journals and international conferences (IEEE, Elsevier, Springer, and so on), and supervised several Data Science, IoT, and AI industrial projects in various scales, including Isfahan intelligent traffic system delivery and testing, and red light runners detection. He is experienced in different sub-domains of Artificial Intelligence and Machine Learning, from theory to practice, including Deep Learning, Logic, and Optimisation.
Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes
Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
NTUC members enjoy 50% unfunded course fee support for up to S$250 each year (or up to S$500 for NTUC members aged 40 years old and above) when you sign up for courses supported under UTAP (Union Training Assistance Programme). Please visit e2i’s website to find out more.
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System Dynamics and Digital Business Modelling: TGS-2022013131 (Classroom Learning) / TGS-2022013130 (Synchronous e-learning)
Leadership Agility in the Digital Economy: TGS-2020504043 (Classroom Learning)
Managing Change for Digital Transformations: TGS-2020506064 (Classroom Learning) / TGS-2020503099 (Synchronous e-Learning)
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Course Fee Breakdown
Singapore Citizens39 years old or younger
Singapore Citizen40 years old or older