Profile image of William Yeoh

Dr William Yeoh

STAFF PROFILE

Position

Senior Lecturer

Faculty

Faculty of Business and Law

Department

BL Deakin Business School

Campus

Melbourne Burwood Campus

Qualifications

Graduate Certificate of Higher Education, Deakin University, 2013
Doctor of Philosophy, University of South Australia, 2008

Contact

william.yeoh@deakin.edu.au
+61 3 924 46903

Biography

Dr William Yeoh is a Senior Lecturer in the Department of Information Systems and Business Analytics in Deakin Business School. William is a leading researcher in the Business Intelligence and Analytics field. He has published over 60 refereed articles in high-tier journals (including 14 A/A* SCI-indexed journals) and the most competitive top five Information Systems conferences (i.e. ICIS, ECIS, PACIS, AMCIS & ACIS).

To date, William has successfully supervised 7 doctoral and master research theses to completion. In addition, he has been an external examiner for over 10 doctoral and master research theses at RMIT, La Trobe, UniSA, Curtin, and overseas universities, respectively. He is the current Editor-in-Chief of the International Journal of Business Intelligence Research (an ABDC-listed journal), and a Section Editor for Australasian Journal of Information Systems (ABDC A-ranked). William is a frequent speaker in industry/practitioner forums, and also an assessor of the Australian Research Council grant.

He was awarded the ICT Educator of the Year Gold Award by the Australian Computer Society ACS in 2017, Australia’s premier ICT professional association. Moreover, he was a two-time recipient of the internationally-competitive IBM Faculty Award that rarely bestowed on Australian-based academics (with USD$30,000 grant), recognising his significant contribution to business analytics communities and industry. He was also the recipient of Deakin’s 2016 Vice Chancellor Award for Outstanding Contribution through Value Innovation and the 2017 Faculty Research Excellence Award. Moreover, his mentored team was crowned the World Champion at the 2016 IBM Watson Analytics Global Competition held in Las Vegas. He is a Senior Member of the Australian Computer Society (ACS) and a Certified Professional MACS (Senior) CP.  In his spare time, he enjoys playing badminton. His life's objective is to improve quality of lives.

Read more on William's profile

Research interests

  • Business Intelligence & Analytics
  • Crowdsourcing
  • Cloud Computing
  • Information Systems

Affiliations

  • Senior Member, Australian Computer Society (ACS).
  • Section Editor, Australasian Journal of Information Systems (AJIS).
  • Editor-in-Chief, International Journal of Business Intelligence Research (IJBIR).
  • Editorial Board Member, Journal of Computer Information Systems (JCIS).

Teaching interests

  • Business Intelligence
  • Information Systems

Knowledge areas

  • Business Intelligence and Analytics
  • Cloud Computing
  • Crowdsourcing
  • Information Quality
  • Information Systems

Awards

  • IBM Faculty Award (with USD$10,000 grant), IBM Corporation, 2017.
  • Faculty Research Excellence Award, Deakin University's Faculty of Business and Law, 2017.
  • The 2017 ICT Educator of the Year Gold Award, The Australian Computer Society, ACS (Australia’s premier ICT professional association and accreditation body), 2017.
  • The 2017 IBM Watson Analytics Global Competition - Worldwide Third Place Team, IBM Corporation, 2017.
  • IBM Faculty Award (with USD$20,000 grant), IBM Corporation, 2016.
  • Deakin VC Award for significant contribution to value innovation, Deakin VC Award, 2016.
  • The 2016 IBM Watson Analytics Global Competition - Worldwide Champion Team, IBM Corporation, 2016.

Publications

Filter by

2018

Examining the effect of time constraint on the online mastery learning approach towards improving postgraduate students' achievement

M Ee, G Yeoh, Y Boo, T Boulter

(2018), Vol. 43, pp. 217-233, Studies in higher education, London, Eng., C1

journal

Framework and literature analysis for crowdsourcing's answer aggregation

A Moayedikia, G Yeoh, K Ong, Y Boo

(2018), pp. 1-12, Journal of computer information systems, Abingdon, Eng., C1

journal

Factors that influence adoption of cloud computing: an empirical study of Australian SMEs

I Senarathna, C Wilkin, M Warren, W Yeoh, S Salzman

(2018), Vol. 22, pp. 1-31, Australasian journal of information systems, Wollongong, N.S.W., C1

journal
2017

Towards a resilience management framework for complex enterprise systems upgrade implementation

S Teoh, W Yeoh, H Zadeh

(2017), Vol. 11, pp. 694-718, Enterprise information systems, London, Eng., C1

journal

A literature analysis of the use of absorptive capacity construct in IS research

S Gao, G Yeoh, S Wong, R Scheepers

(2017), Vol. 37, pp. 36-42, International journal of information management, Amsterdam, The Netherlands, C1

journal

Business intelligence effectiveness and corporate performance management: an empirical analysis

G Richards, W Yeoh, A Chong, A Popovic

(2017), pp. 1-9, Journal of computer information systems, Abingdon, Eng., C1

journal

Online crowdsourcing campaigns: bottom-up versus top-down process model

J Ren, P Ozturk, W Yeoh

(2017), pp. 1-12, Journal of computer information systems, Abingdon, Eng., C1

journal

Feature selection for high dimensional imbalanced class data using harmony search

A Moayedikia, K Ong, Y Boo, W Yeoh, R Jensen

(2017), Vol. 57, pp. 38-49, Engineering applications of artificial intelligence, Amsterdam, The Netherlands, C1-1

journal

Online consumer reviews and sales: examining the chicken-egg relationships

J Ren, G Yeoh, M Ee, A Popovi?

(2017), pp. 1-12, Journal of the Association for Information Science and Technology, Hoboken, N.J., C1

journal

Bee colony based worker reliability estimation algorithm in microtask crowdsourcing

A Moayedikia, K Ong, Y Boo, W Yeoh

(2017), pp. 713-717, Proceedings - 2016 15th IEEE International Conference on Machine Learning and Applications, ICMLA 2016, Anaheim, California, E1

conference
2016

Extending the understanding of critical success factors for implementing business intelligence systems

Yeoh, A Popovi?

(2016), Vol. 67, pp. 137-147, Journal of the Association for Information Science and Technology, London, Eng., C1

journal

Security and privacy concerns for Australian SMEs cloud adoption: empirical study of metropolitan vs regional SMEs

I Senarathna, G Yeoh, M Warren, S Salzman

(2016), Vol. 20, pp. 1-20, Australasian journal of information systems, Canberra, A.C.T., C1

journal

Supporting business intelligence usage: an integrated framework with automatic weighting

C Chee, W Yeoh, H Tan, M Ee

(2016), Vol. 56, pp. 301-312, Journal of computer information systems, London, Eng., C1

journal
2015

A conceptual model for cloud computing adoption by SMEs in Australia

I Senarathna, M Warren, W Yeoh, S Salzman

(2015), pp. 100-128, Delivery and Adoption of Cloud Computing Services in Contemporary Organizations, Hershey PA, USA, B1

chapter

A comprehensive diagnostic framework for evaluating business intelligence and analytics effectiveness

N Foshay, W Yeoh, Y Boo, K Ong, D Mattie

(2015), Vol. 19, pp. 37-54, Australasian journal of information systems, Melbourne, Vic., C1

journal
2014

An empirical study of business intelligence impact on corporate performance management

G Richards, W Yeoh, A Chong, A Popovic

(2014), pp. 1-16, PACIS 2014 : Proceedings of the Pacific Asia Conference on Information Systems 2014, Chengdu, China, E1

conference

Improving telemarketing intelligence through significant proportion of target instances

D Tan, S Liew, W Yeoh

(2014), pp. 1-15, PACIS 2014 : Proceedings of the Pacific Asia Conference on Information Systems 2014, Chengdu, China, E1

conference

The influence of organisation culture on e-commerce adoption

I Senarathna, M Warren, W Yeoh, S Salzman

(2014), Vol. 114, pp. 1007-1021, Industrial management & data systems, Bingley, Eng., C1

journal

Supporting decision making : the BI sweet spot

M Gendron, W Yeoh, R Swarr

(2014), pp. 279-290, DSS 2.0: Supporting decision making with new technologies, Amsterdam, The Netherlands, B1

chapter

Improving business intelligence traceability and accountability: an integrated framework of BI product and metacontent map

Chin-Hoong Chee, William Yeoh, Shijia Gao, Gregory Richards

(2014), Vol. 25, pp. 28-47, Journal of database management, Hershey, PA, C1

journal

Benefits and barriers to corporate performance management systems

G Yeoh, G Richards, S Wang

(2014), Vol. 55, pp. 105-116, Journal of computer information systems, Stillwater, OK, C1

journal

Critical analysis of the use of absorptive capacity theory in IS research

M Addorisio, S Gao, W Yeoh, S Wong

(2014), pp. 1-15, ICIS 2014 : Proceedings of the 5th International Conference on Information Systems, Auckland, New Zealand, E1

conference
2013

The impact of feature selection : a data-mining application in direct marketing

D Tan, W Yeoh, Y Boo, S Liew

(2013), Vol. 20, pp. 23-38, Intelligent systems in accounting, finance and management, Oxford, England, C1

journal

Linking BI competency and assimilation through absorptive capacity: a conceptual framework

W Yeoh, G Richards, S Wang

(2013), pp. 1-9, PACIS 2013 : Smart, open and social information systems : Proceedings of the 17th Pacific Asia Conference on Information Systems, Jeju Island, Korea, E1

conference

An empirical study of the influence of different organisation cultures on e-commerce adoption maturity

I Senarathna, M Warren, W Yeoh, S Salzman

(2013), pp. 1-10, ACIS 2013 : Proceedings of the Information Systems 2013 Australasian Conference, Melbourne, Vic., E1

conference
2012

Describing data quality problems in business intelligence systems through a metadata framework

W Yeoh, T Wang, Y Verbitskiy

(2012), pp. 1-10, AMCIS 2012 : Proceedings of the 18th Americas Conference on Information Systems, Seattle, Wash., E1

conference
2011

Applying feature selection methods to improve the predictive model of a direct marketing problem

D Tan, Y Sim, W Yeoh

(2011), pp. 155-167, Software engineering and computer systems, Heidelberg , Germany, B1

chapter

An empirical study of BI-based corporate performance management in North America and East Asia

G Richards, W Yeoh, S Wang

(2011), pp. 1-12, AMCIS 2011 : Proceedings of the Americas Conference on Information Systems., Detroit, Mich., E1

conference

Enhancing business intelligence traceability through an integrated metadata framework

C Chee, W Yeoh, S Gao

(2011), pp. 1-11, ACIS 2011 : Proceedings of the 22nd Australasian Conference on Information Systems : Identifying the Information Systems Discipline, Sydney, N.S.W., E1

conference

Data quality management in a business intelligence environment : from the lens of metadata

Y Verbitskiy, W Yeoh

(2011), ICIQ 2011 : Proceedings of 16th International Conference on Information Quality, Adelaide, S. Aust., E1

conference
2010

Critical success factors for business intelligence systems

W Yeoh, A Koronios

(2010), Vol. 50, pp. 23-32, Journal of computer information systems, [Stillwater, Okla], C1-1

journal
2009

Empirical investigation of critical success factors for implementing business intelligence systems in multiple engineering asset management organisations

W Yeoh, J Gao, A Koronios

(2009), pp. 247-271, Information systems research methods, epistemology, and applications, Hershay, Pa., B1-1

chapter

How does organizational culture affect IS effectiveness : a culture-information system fit framework

S Wang, W Yeoh

(2009), pp. 67-70, ECBI 2009 : 2009 International Conference on Electronic Commerce and Business Intelligence : proceedings, 6-7 June 2009, Beijing, China., Beijing, China, E1-1

conference
2008

Managing the implementation of business intelligence systems : a critical success factors framework

W Yeoh, A Koronios, J Gao

(2008), Vol. 4, pp. 1-16, International journal of enterprise information systems, Hershey, Pa., C1-1

journal

Funded Projects at Deakin

Industry and Other Funding

A mobile system to evaluate the impact of business intelligence systems on organisational absorptive capacity and performance

Dr Siew-Fan Wong, Dr William Yeoh

  • 2015: $6,764
  • 2014: $5,700

Analytics and Process Optimisation for Resource Allocation - INT 306 (Alireza Moayedikia)

Dr William Yeoh

  • 2017: $26,000

Supervisions

Principal Supervisor
2018

Alireza Moayedikia

Thesis entitled: Studying Crowdsourcing Using Machine Learning and Optimisation-based Approaches

Doctor of Philosophy, Dept. of Information Systems & Business Analytics

Associate Supervisor
2016

Ishan Senarathna

Thesis entitled: Cloud Computing Adoption by SMEs in Australia

Doctor of Philosophy, Dept. of Information Systems & Business Analytics