Professor Adrian Gepp
Professor in Data Analytics

Affiliations
Links
- https://scholar.google.com/citations?user=6BPTKWYAAAAJ
Google Scholar - https://www.researchgate.net/profile/Adrian-Gepp
ResearchGate
Contact info
Email a.gepp@bangor.ac.uk
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An Introductory Note on Big Data and Data Analytics for Accountants and Auditors
Gepp, A. & Parker, M., 2018, Ivey Publishing.Research output: Other contribution
- Published
Taking the hunch out of the crunch: A framework to improve variable selection in models to detect financial statement fraud
Gepp, A., Kumar, K. & Bhattacharya, S., Jun 2024, In: Accounting and Finance . 64, 2, p. 1569-1588Research output: Contribution to journal › Article › peer-review
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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 › peer-review
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Audit Data Analytics
Gepp, A. & Johnson, R., 1 Sept 2021, Auditing: A Practical Approach with Data Analytics. Johnson, R. N. & Wiley, L. D. (eds.). 2nd ed. United States: John Wiley & SonsResearch output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Advanced Statistics with Applications in R, Eugene Demidenko, 2020, Wiley Series in Probability and Statistics, John Wiley and Sons USA
Gepp, A., 5 Jul 2021, In: Journal of the Royal Statistical Society Series A (Statistics in Society). 184, 4, p. 1610-1611Research output: Contribution to journal › Review article › peer-review
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Lifting the Numbers Game: Identifying key input variables and a best-performing model to detect financial statement fraud
Gepp, A., Kumar, K. & Bhattacharya, S., 1 Sept 2021, In: Accounting and Finance . 61, 3, p. 4601-4638 38 p.Research output: Contribution to journal › Article › peer-review
- Published
Using Data Analytics to Distinguish Legitimate and Illegitimate Shell Companies
Gepp, A., Tiwari, M. & Kumar, K., Apr 2023.Research output: Contribution to conference › Paper › peer-review
- Published
Food fraud is a growing economic and health issue – but AI and blockchain technology can help combat it
Gepp, A. & Tiwari, M., 2 Apr 2024, The Conversation.Research output: Contribution to specialist publication › Article
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How to Improve Teaching Using Blended Learning
Gepp, A. & Kumar, K., 27 Dec 2019, Theoretical and Practical Approaches to Innovation in Higher Education. Makewa, L. N. (ed.). United States: IGI Global, p. 80-90 11 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
- Published
Successes, failures and lessons learned from developing Data Analytics programs within Business Schools in multiple countries, one of which won a national award
Gepp, A., Sept 2023.Research output: Contribution to conference › Paper › peer-review
- E-pub ahead of print
Pitching business school researcher profiles
Faff, R., Mathuva, D., Brosnan, M., Hoffmann, S., Albu, C., Ali, S., Axelsen, M., Cornwell, N., Gepp, A., Gill, C., Honey, K., Malik, I., Mehrotra, V., Moses, O., Ratiu, R. V., Tan, D. & Tuszkiewicz, M. A., 21 Sept 2023, (E-pub ahead of print) In: Journal of Accounting Literature.Research output: Contribution to journal › Article › peer-review
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Guest editorial
Dunstan, K. & Gepp, A., 1 Apr 2018, In: Pacific Accounting Review. 30, 2, p. 130-134 5 p.Research output: Contribution to journal › Article › peer-review
- Published
Research ideas matter: Guidance for research students and early career researchers
Duncan, K., Gepp, A., Craig, J. & O'Neill, H., 1 Dec 2023, In: Pacific-Basin Finance Journal. 82, 102153.Research output: Contribution to journal › Article › peer-review
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Text Box 7.1 Fraud and corporate psychopathy
Croom, S., Erdelyi, R., Gepp, A. & Mills, R., 2020, Corporate Psychopathy. Fritzon, K., Brooks, N. & Croom, S. (eds.). United Kingdom: Palgrave Macmillan, p. 201-202 2 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
- Published
Modernising operational risk management in financial institutions via data-driven causal factors analysis: A pre-registered study
Cornwell, N., Bilson, C., Gepp, A., Stern, S. & Vanstone, B., Jun 2023, In: Pacific-Basin Finance Journal. 79, 102011.Research output: Contribution to journal › Article › peer-review
- Published
Modernising operational risk management in financial institutions via data-driven causal factors analysis: A pre-registered report
Cornwell, N., Bilson, C., Gepp, A., Stern, S. & Vanstone, B., Feb 2023, In: Pacific-Basin Finance Journal. 77, 101906.Research output: Contribution to journal › Article › peer-review
- Published
The Role of Data Analytics within Operational Risk Management: A Systematic Review from the Financial Services and Energy Sectors
Cornwell, N., Bilson, C. M., Gepp, A., Stern, S. & Vanstone, B. J., Jan 2023, In: Journal of the Operational Research Society. 74, 1, p. 374-402Research output: Contribution to journal › Article › peer-review
- Published
Accountants’ Attitudes to Digital Technology: A Barrier to the Digital Transformation of Accounting?
Busulwa, R., Birt, J., Gepp, A. & Oates, G., Feb 2024, Digital Transformation in Accounting and Auditing: Navigating Technological Advances for the Future. Springer, p. 153-182Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
- Published
Lost in Translation? The Required Vs. Actual Technology Skills of Accountants
Busulwa, R., Birt, J., Gepp, A. & Oates, G., Feb 2024, Digital Transformation in Accounting and Auditing: Navigating Technological Advances for the Future. Springer, p. 121-151Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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Variable Transformation to a 2x2 domain space for Edge Matching Puzzles
Aspinall, T., Gepp, A., Harris, G. & Vanstone, B. J., 1 Sept 2020.Research output: Contribution to conference › Paper › peer-review
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Estimation of a term structure model of carbon prices through state spaces methods: a pitch
Aspinall, T., Gepp, A., Harris, G., Kelly, S., Southam, C. & Vanstone, B. J., 8 Feb 2021, In: Accounting Research Journal. 34, 1, p. 106-112Research output: Contribution to journal › Article › peer-review
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NFCP: N-Factor Commodity Pricing Through Term Structure Estimation
Aspinall, T., Gepp, A., Harris, G., Kelly, S., Southam, C. & Vanstone, B. J., 13 Jan 2021Research output: Other contribution
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Estimation of a Term Structure Model of Carbon Prices through State Space Methods: The European Union Emissions Trading Scheme
Aspinall, T., Gepp, A., Harris, G., Kelly, S., Southam, C. & Vanstone, B. J., 1 Jun 2021, In: Accounting and Finance . 61, 2, p. 3797-3819Research output: Contribution to journal › Article › peer-review
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Modelling Oil and Copper Commodity Prices Through Term Structure Estimation: New R Package NFCP useful in future commodity pricing research
Aspinall, T., Gepp, A., Harris, G., Kelly, S., Southam, C. & Vanstone, B. J., 1 Jul 2021.Research output: Contribution to conference › Paper › peer-review
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LSMRealOptions: Value American and Real Options Through LSM Simulation
Aspinall, T., Gepp, A., Harris, G., Kelly, S., Southam, C. & Vanstone, B. J., 26 Jun 2021Research output: Other contribution › peer-review
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FKF.SP: Fast Kalman Filtering Through Sequential Processing
Aspinall, T., Gepp, A., Harris, G., Kelly, S., Southam, C., Vanstone, B. J., Luethi, D., Erb, P., Otziger, S. & Smith, P., 18 Dec 2020Research output: Other contribution
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Variable transformation to a 2×2 Domain Space for Edge Matching Puzzles
Aspinall, T., Gepp, A., Harris, G. & Vanstone, B. J., 1 Sept 2020, Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices - 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, Proceedings. Fujita, H., Fournier-Viger, P., Ali, M. & Sasaki, J. (eds.). Germany: Springer, p. 210-221 12 p. (Lecture Notes in Computer Science; vol. 12144).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review