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
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.
Profiles
Gary Bowman
- Bond Business School - Semester Assistant Professor, Assistant Professor
Person: Teaching Only, Teaching and Research
Neil Campbell
- Bond Business School - Semester Associate Professor, Associate Professor
Person: Teaching Only, Teaching and Research
Research Output 1978 2018
Accumulating subcultural capital through sport event participation: The AFL International Cup
Fairley, S. & O'Brien, D. Jun 2018 In : Sport Management Review. 21, 3, p. 321-332 12 p.Research output: Contribution to journal › Article
sport
advocacy
learning
participation
Football
A hybrid information approach to predict corporate credit risk
Bu, D., Kelly, S., Liao, Y. & Zhou, Q. Sep 2018 In : Journal of Futures Markets. 38, 9, p. 1062-1078 17 p.Research output: Contribution to journal › Article
Reduced-form model
Maturity
Credit risk
Prediction error
Structural model
An Introductory Note on Big Data and Data Analytics for Accountants and Auditors
Gepp, A. & Parker, M. 2018 Ivey PublishingResearch output: Other contribution
Students
Industry
Big data
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
Student theses
A Class of Direct Search Methods for Nonlinear Integer Programming
Author: Sugden, S., Jul 1992Supervisor: Murtagh, B. (Supervisor)
Student thesis: Doctoral Thesis
File
A flexible framework for leveraging verification tools to enhance the verification technologies available for policy enforcement
Author: Larkin, J., 6 Jun 2009Supervisor: Krishnan, P. (Supervisor)
Student thesis: Master's Thesis
File
Agency Trade-offs in Family Firms: Theoretical Model, Empirical Testing and Implications
Author: Yupitun, M., 27 Sep 2008Supervisor: Moores, K. (Supervisor)
Student thesis: Doctoral Thesis
File