Bond Business School

  • Australia

Organization profile

Profile Information

The Bond Business School delivers a truly personalised educational experience to every student. We are blessed with a unique learning environment based on small class sizes and an accelerated three-semester-per-year timetable. This setting tailors our industry-relevant learning experiences to the needs of each student, one by one. In addition, each student has unparalleled access to dedicated learning facilities, global industry connections, internationally diverse cohorts and world class academics.

Together, these factors explain why the Bond Business School is consistently ranked first in Australia for educational experience and student satisfaction. Our intimate scale enriches the academic and professional outcomes for our students, while encouraging them to unleash their potential and achieve their individual ambitions on the global stage.

Our students have the opportunity to select their preferred area of study from a diverse array of undergraduate, postgraduate and research programs. These programs reflect market demand and are widely acknowledged for their innovative content and delivery. We are particularly proud of our new degrees in Actuarial Science. As the first of their kind in Queensland, these programs support the increasing demand for business graduates with superior quantitative skills and knowledge of big data analytics.

Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit

Ant colony optimization Engineering & Materials Science
learning Social Sciences
student Social Sciences
Industry Engineering & Materials Science
Information systems Engineering & Materials Science
Tourism Social Sciences
leadership Social Sciences
Neural networks Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.


Photo of Gary Bowman

Gary Bowman

Person: Teaching Only, Teaching and Research

Photo of Barry Burgan

Barry Burgan

Person: Other

Photo of Neil Campbell

Neil Campbell

Person: Teaching and Research


Research Output 1978 2019

All the same but different: Understanding family enterprise heterogeneity

Moores, K., Parris, D., Newbert, S. & Craig, J. B., 2019, The Palgrave Handbook of Family Enterprise Heterogeneity. Memili, E. & Dibrell, C. (eds.). Cham: Palgrave Macmillan, p. 557-588

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Family firms
Family enterprise
Decision making
Servant leadership

Credit Rating Forecasting Using Machine Learning Techniques

Wallis, M., Kumar, K. & Gepp, A., Feb 2019, Managerial Perspectives on Intelligent Big Data Analytics. Sun, Z. (ed.). IGI Global, p. 180-198 19 p.

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Credit rating
Machine learning
Comparative analysis

Investigating Healthcare Contacts of Dialysis Patients by Age and Gender

Todd, J., Gepp, A., Vanstone, B. J. & Richards, B., 27 Feb 2019, In : BMC Health Services Research. 19, p. 1-8 8 p., 136.

Research output: Contribution to journalArticleResearchpeer-review

Open Access
Delivery of Health Care
Health Services

Activities 2009 2019

Bond University Research Integrity Advisor

Simone Kelly (Other)

Activity: Other

Jessica Smith - Honours

Christian Moro (Supervisor)

Activity: OtherNon-HDR Student Supervision

Journal of Product and Brand Management (Journal)

Rajat Roy (Reviewer)
2018 → …

Activity: Publication peer-review and editorial workEditorial Board Member

Student theses

3D SPACE Special Project in Advanced Computer Environments

Author: Patterson, D., 5 Jun 2004

Supervisor: Wu, Z. D. (Supervisor) & Rees, M. (Supervisor)

Student thesis: Doctoral Thesis


A Class of Direct Search Methods for Nonlinear Integer Programming

Author: Sugden, S., Jul 1992

Supervisor: Murtagh, B. (External person) (Supervisor)

Student thesis: Doctoral Thesis


A Collaboration Framework of Selecting Software Components Based on Behavioural Compatibility with User Requirements.

Author: Wang, L., 3 Jun 2006

Supervisor: Krishnan, P. (Supervisor)

Student thesis: Doctoral Thesis