Research Output per year
Personal profile
Research interests
My research interest is in using big data and predictive modelling to reveal unique insights about problems of economic and social importance. My research spans fraud detection, fintech, health analytics, business failure prediction and workplace design. I am also an active inaugural member of Bond University's Centre for Actuarial and Financial Big Data Analytics.
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Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2006 2019
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
Open Access
Dialysis
Delivery of Health Care
Ghana
Health Services
Inpatients
An Introductory Note on Big Data and Data Analytics for Accountants and Auditors
Gepp, A. & Parker, M., 2018, Ivey Publishing.Research output: Other contribution › Research › peer-review
Students
Industry
Big data
Automatically Generating and Solving Eternity II Style Puzzles
Harris, G., Vanstone, B. J. & Gepp, A., 30 May 2018, Recent Trends and Future Technology in Applied Intelligence - 31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2018, Proceedings. Mouhoub, M., Sadaoui, S., Ait Mahomed, O. & Ali, M. (eds.). Cham: Springer, p. 626-632 7 p. (Lecture Notes in Computer Science (LNCS); vol. 10868).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review
distribution
method
Big data techniques in auditing research and practice: Current trends and future opportunities
Gepp, A., Linnenluecke, M. K. & O'Neill, T. J., 1 Jun 2018, In : Journal of Accounting Literature. 40, p. 102-115 14 p.Research output: Contribution to journal › Article › Research › peer-review
File
Auditing
Modeling
Genealogy
Financial fraud
Financial distress
Financial-distress prediction of Islamic banks using tree-based stochastic techniques
Halteh, K., Kumar, K. & Gepp, A., 11 Jun 2018, In : Managerial Finance. 44, 6, p. 759-773 15 p.Research output: Contribution to journal › Article › Research › peer-review
File
Prediction
Islamic financial institutions
Financial distress
Islamic banking
Assets
Activities 2009 2018
Pacific Accounting Review (Journal)
Adrian Gepp (Editor)2016 → 2018
Activity: Publication peer-review and editorial work › Editorial Board Member
Financial Fragility, Systemic Risk and Financial Systems
Adrian Gepp (Examiner)2018
Activity: Examination › Thesis Examination
Bond Business Links
Adrian Gepp (Participant)2016
Activity: Participating in or organising an event › Organising a conference, workshop, ...
Accounting & Finance Association of Australia and New Zealand (External organisation)
Adrian Gepp (Member)2016 → …
Activity: Membership › Professional Memberships
Queensland Police Service
Adrian Gepp (Attendee)2016
Activity: Professional Development › External Professional Development
Student theses
Financial statement fraud detection using supervised learning methods
Author: Gepp, A., 10 Oct 2015Supervisor: Kumar, K. (Supervisor) & Bhattacharya, S. (External person) (Supervisor)
Student thesis: Doctoral Thesis
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