Staff profile

Terry is an Associate Professor in Accounting at Durham University Business School, Durham University, UK. He received his Bachelors Degree (double major) in Computer Science and Accounting from the University of the West Indies, Cave Hill Campus in 2009. Since that time, Terry has successfully completed a Master of Philosophy (MPhil) in Computer Science, a professional accounting designation with the Association of Chartered Certified Accountants (ACCA), and a Doctor of Philosophy (PhD) in Finance with Durham University.

Terry has taught extensively in Accounting and Finance and has incorporated many active learning strategies into his teaching. All told, Terry’s teaching has been of a high standard as evidenced by his excellent teaching evaluation scores, which average above 4 on a rating scale of 1 - 5. 

Terry has engaged in theoretical and applied research, publications, and scholarly and professional activities. In particular, he has published in Association of Business Schools (ABS) rated internationally leading journals. Furthermore, he has presented papers at international conferences and has reviewed for top tier academic journals. Terry is also a Chartered Accountant and member of the Institute of Chartered Accountants of Barbados (ICAB).

Mini Biography

Dr. Terry Harris is an Associate Professor in Accounting at Durham University Business School. He joined the School in September 2015 and teaches on both undergraduate and postgraduate programmes.

• Accounting Conservatism
• Corporate Finance
• Corporate Governance
• Credit Scoring and Credit Risk Assessment
• Earnings Management
• Financial Econometrics
• Financial Engineering
• Machine Learning and Big Data Analytics

Authored book

• Harris, T. (2023). Competition Culture and Corporate Finance: A Measure of Firms’ Competition Culture Based on a Textual Analysis of 10-K Filings. Palgrave Macmillan. https://doi.org/10.1007/978-3-031-30156-8

Book review

• Harris, T. (2023). Book Review: Capitalist Realism: Is There No Alternative? by Mark Fisher, 2009, United Kingdom, Zero Books, 81 pp., ISBN 9781846943171. Social and Environmental Accountability Journal, 43(2), 180-183. https://doi.org/10.1080/0969160x.2023.2230001

Journal Article

• Harris, T. (2024). Managers’ perception of product market competition and earnings management: a textual analysis of firms’ 10-K reports. Journal of Accounting Literature, https://doi.org/10.1108/jal-11-2022-0116
• Andreou, P. C., Fiordelisi, F., Harris, T., & Philip, D. (2022). Institutional ownership and firms’ thrust to compete. British Journal of Management, 33(3), 1346-1370. https://doi.org/10.1111/1467-8551.12496
• Andreou, P., Harris, T., & Philip, D. (2020). Measuring firms' market orientation using textual analysis of 10-K filings. British Journal of Management, 31(4), 8725-895. https://doi.org/10.1111/1467-8551.12391
• Harris, T. (2017). Earnings announcements and quoted bid-ask spreads of U.S. Bank Holding Companies. Finance Research Letters, 20, 223-228. https://doi.org/10.1016/j.frl.2016.10.003
• Alleyne, P., & Harris, T. (2017). Antecedents of taxpayers’ intentions to engage in tax evasion: evidence from Barbados. Journal of Financial Reporting and Accounting, 15(1), 2-21. https://doi.org/10.1108/jfra-12-2015-0107
• Alleyne, P., Soleyn, S., & Harris, T. (2015). Predicting accounting students’ intentions to engage in software and music piracy. Journal of Academic Ethics, 13(4), 291-309. https://doi.org/10.1007/s10805-015-9241-7
• Harris, T., & Gittens, C. (2015). Modeling believable agents using a descriptive approach. Biologically Inspired Cognitive Architectures, 14, 10-21. https://doi.org/10.1016/j.bica.2015.09.004
• Harris, T. (2015). Credit scoring using the clustered support vector machine. Expert Systems with Applications, 42(2), 741-750. https://doi.org/10.1016/j.eswa.2014.08.029
• Ventose, E., & Harris, T. (2014). Managing the "risky" business of patenting in the United States. European Intellectual Property Review, 36(12), 762-777
• Harris, T. (2013). Quantitative credit risk assessment using support vector machines: broad versus narrow default definitions. Expert Systems with Applications, 40(11), 4404-4413. https://doi.org/10.1016/j.eswa.2013.01.044