Research Output per year
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
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Gary Bowman
- Bond Business School - Semester Teaching Fellow - BBT, Assistant Professor
Person: Teaching Only, 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. 557-588Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review
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 journal › Article › Research › peer-review
It’s not just the isolation. Working from home has surprising downsides
Sander, E. J., 15 Jan 2019, In : The Conversation.Research output: Contribution to journal › Online Resource › Research
Datasets
Comparative academic performance using a Java Ultra-Lightweight Interpreter (JULI) for teaching introductory programming
Stocks, P. (Creator), Bond University, 2012
DOI: 10.4225/57/58ad1afb313c8, https://researchdata.ands.org.au/comparative-academic-performance-programming-dataset/991786/?refer_q=rows=15/sort=score%20desc/class=collection/p=1/q=Comparative%20academic%20performance%20using%20a%20Java%20Ultra-Lightweight%20Interpreter/
Dataset
Activities 2009 2019
Financial Fragility, Systemic Risk and Financial Systems
Adrian Gepp (Examiner)Activity: Examination › Thesis Examination
Student theses
3D SPACE Special Project in Advanced Computer Environments
Author: Patterson, D., 5 Jun 2004Supervisor: 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 1992Supervisor: 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 2006Supervisor: Krishnan, P. (Supervisor)
Student thesis: Doctoral Thesis