Dr Yi-Te Chiu

Dr Yi-Te Chiu profile picture

Undergraduate Programme Director School of Information Management

Courses

Teaching in 2019

Introduction

Yi-Te Chiu holds a PhD in Management from Smith School of Business, Queen’s University, Kingston, Canada. Prior to his academic career, he worked in the software industry and helped organisations to improve the value that IT/S (Information System and Technology) can bring to the overall organisation. His research revolves around managing changes and uncertainties, including social and technological ones, in the digital work environment. At the individual level, his research concerns how IT/S professionals adapt to changes and manage uncertainties in IT/S projects. At the enterprise level, his research aims to prepare organisations for digital transformation by enhancing organisational capabilities (e.g., enterprise agility and ambidexterity). He has been working closely with professional institutions (e.g., International Institute of Business Analysis (IIBA)) and industry partners (e.g., government agencies and start-ups) to optimise the impact of his research upon academia, business, and community.

Qualifications

BA, MBA, Chung Cheng; PhD, Queen's

Administrative Responsibilities

Member of the School of Information Management Human Ethics Committee
Member of the School of Information Management Research Committee

Research Programs

Yi-Te’s primary research programmes are listed as follows. He is looking for collaborators and students who are interested in topics related to these areas.

1. Mental models, IT/S professionals, and IT/S teams

This research program concerns mental models, which represent organized knowledge structures that people rely on to understand the phenomenon and form predictions and expectations. Drawing upon literature from cognitive and industrial psychology, we investigate how mental models of IT/S professionals can be captured, as well as how an understanding of mental models can improve learning, cooperation, and collaboration. Professionals simultaneously hold multiple mental models on different tasks. Our current focus is on a mental model regarding managing IT/S projects. We have developed a tool to assess the mental model orientations of IT/S professionals. We have also evaluated the impacts of how people who hold diverse mental model orientations collaborate.

Research Team: Dr Sandy Staples (Queen’s University, Canada)

2. Agility, enterprise risk management, and IT/S risk management

Traditional risk management and project management approaches no longer suffice to deal with constantly emerging threats and opportunities. This research program sets out to understand how organisations can readily address threats related to IT/S, while at the same time grasping opportunities that arise out of the threats; and aims to create, preserve, and realize the value to the organisation through the agile management of IT/S risk. The current stage of the project is at the conceptualisation of the construct - we have defined IT/S risk management agility and are interviewing high performing IT organisations who are mature in risk management to validate our conceptualisation. We plan to conduct further research to address questions, such as, How do firms maintain an appropriate balance of risk management and opportunity management? How do firms develop risk management agility in different contexts?

Research Team: Dr Houn-Gee Chen (National Taiwan University) and Dr Yu-Qian Zhu (National Taiwan University of Science and Technology)

3. Building business analysis capability

Today’s business leaders must decipher and define the complex business problems that limit their organizations to reach their strategic ambitions, and they must devise and deploy digital solutions that address these needs by simplifying business. We call this set of activities a business analysis capability (BAC). Many firms have recognized the value of BAC as business analysis is among the most in-demand digital skills nowadays (e.g., the 2017 SIM IT Issues and Trends Study ). However, there is a lack of a clear picture regarding pathways to build BAC in digital environments, which embody different degrees of uncertainties and complexities. We are currently investigating the phenomenon by studying a handful of organizations globally and set out to propose a talent management approach to bridge the gap.

Research Team: Dr Jean-Gregoire Bernard (Victoria University of Wellington)

4. Fluid teams in digital futures

Global trends are changing the face of teams and warrant further consideration of the management of teams in digital futures. This research programme aims to understand teams that are experiencing high team fluidity, that is, unstable team membership, a blurred team boundary, and an amorphous team structure. We are validating the conceptual understanding of team fluidity and developing socio-technical coping mechanisms, including but not limited to dynamic coordination strategy and the development of virtual team members (e.g., chatbots), to address challenges arising from team fluidity.

Research Team: Dr Mohammad Saud Khan (Victoria University of Wellington), Dr Catherine Caudwell (Victoria University of Wellington), Dr Maryam Mirzaei (Unitec Institute of Technology)

5. Modelling and evaluating information supply chains

Measuring and communicating the value of information continues to be a challenge. Although numerous measurement methodologies, frameworks, and metrics have been developed for strategic and operational needs (e.g., the balanced scorecard), many of them are too complex to implement and too heterogeneous to integrate, leaving the value of information not fully tapped. The objective of this program is to develop a measurement framework integrated into an information modelling tool. It allows organisations to measure the value of information arising from the static and dynamic aspects of information supply chains. We are working with LINQ, a New Zealand start-up, that developed a patented model for modelling information flow through and between organisations (see their information supply chains platform on https://www.linq.it/).

Research Team: Dr Pedro Antunes (Victoria University of Wellington), Julia Dakova (Victoria University of Wellington), and LINQ Ltd.

Selected Publications

Dakova, J., Antunes, P., and Chiu, Y.-T. (2018). “A Pluralistic Approach to Information Valuation,” in Proceedings of the Pacific Asian Conference on Information Systems (PACIS), Yokohama, Japan.

Chiu, Y.-T., Chen, H.-G., and Zhu, Y.-Q. (2017). “Exploring IT/S Risk Management Agility,” in Proceedings of the International Conference on Information Systems (ICIS), Seoul, South Korea.

Chiu, Y.-T., Saud Khan, M., and Caudwell, C. (2017). “Understanding team fluidity: Analysing the past to prepare for digital futures,” in Proceedings of ISPIM Innovation Summit, Melbourne, Australia.

Nguyen, T., Swann, D., Chiu, Y.-T., Antunes, P. (2017). “Understanding and modelling organisational information flows,” in Proceedings of IEEE CSCWD, Wellington, New Zealand.

Chiu, Y.-T. and Staples, D. S. (2013). “Reducing Faultlines in Geographically-dispersed Teams: Self-disclosure and Task Elaboration,” Small Group Research, (44:5), pp. 498-531.

Chiu, Y.-T. and Staples, D. S. (2012). “Managing Information Systems Development: What’s on Your Mind?” in Proceedings of the International Conference on Information Systems (ICIS), Orlando, USA.

Chiu, Y.-T. and Staples, D. S. (2011). “The Effect of Personal Disclosure and Social Interaction via Social Computing Technologies (SCT) within Teams: Can Faultlines in Geographically-dispersed Teams be Bridged?” in Proceedings of the 44th Annual Hawaii International Conference on System Sciences (HICSS), Koloa, Kauai, Hawaii.

Chiu, Y.-T. (2010). “A Meta-Analysis of Faultlines, Team Conflict and Team Performance,” in Proceedings of the Administrative Sciences Association of Canada (ASAC), 31, pp. 1515-1532. <Received the Best Student Paper Award>.

Chen, H. S., Lu, F. C., Chiu, Y.-T., and Chen, H.-G. (2003). “Influence of Task Type and Difficulty on the Effect and Satisfaction of Collaborative Learning on Asynchronous Learning Network: A Comparison of a Vocational College and an University,” Journal of Information Management, (10:1), pp. 233-246.

Courses

Teaching in 2019