• Bond University, Bond Business School

    4229 Gold Coast

    Australia

  • 67 Citations
  • 3 h-Index
20062018
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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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Research Output 2006 2018

An Introductory Note on Big Data and Data Analytics for Accountants and Auditors

Gepp, A. & Parker, M., 2018, Ivey Publishing.

Research output: Other contribution

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. IEA/AIE 2018.. 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 proceedingChapter

distribution
method
3 Citations

Big data techniques in auditing research and practice: Current trends and future opportunities

Gepp, A., Linnenluecke, M. K. & O'Neill, T. J., Jun 2018, In : Journal of Accounting Literature. 40, p. 102-115 14 p.

Research output: Contribution to journalArticle

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., 2018, In : Managerial Finance. 44, 6, p. 759-773 15 p.

Research output: Contribution to journalArticle

File
Prediction
Islamic financial institutions
Financial distress
Islamic banking
Assets

Financial literacy amongst elderly Australians

Xue, R., Gepp, A., O'Neill, T., Stern, S. & Vanstone, B. J., Apr 2018, In : Accounting and Finance. 32 p.

Research output: Contribution to journalArticle

Financial literacy
Educational attainment
Wealth
Income
Politicians

Thesis

Financial statement fraud detection using supervised learning methods

Author: Gepp, A., 10 Oct 2015

Supervisor: Kumar, K. (Supervisor) & Bhattacharya, S. (External person) (Supervisor)

Student thesis: Doctoral Thesis

File