DE BOURMONT Marc
Marc de Bourmont teaches Accounting and Quantitative Methods at NEOMA Business School. He is responsible for the Quantitative Methods Course (French Track). Marc holds a PhD in Accounting (HEC Paris, 2009) and his research specializes in various areas, including Bankruptcy Prediction, Earnings Management, Normative Accounting Theories, Artificial Intelligence and the impact of the use of various methodologies in Accounting Research. The results of Marc’s research have appeared in academic publications such as International Journal of Production Research, Annals of Operations Research, Business Process Management Journal and Management Decision.
Areas of research
- Bankruptcy Prediction
- Earnings Management
- Normative Accounting Theories
- Artificial Intelligence
FOSSO WAMBA, S., S.SHAHRIAR AKTER, M.DE BOURMONT, "Quality dominant logic in Big Data analytics and firm performance", Business Process Management Journal, June 2019, vol. 25, no. 3, pp. 512-532
10.1108/bpmj-08-2017-0218
FOSSO WAMBA, S., S. AKTER, , L.TRINCHERA, M.DE BOURMONT, "Turning Information Quality into Firm Performance in Big Data Economy", Management Decision, September 2019, vol. 57, no. 8, pp. 1756-1783
10.1108/MD-04-2018-0394
QUEIROZ, M. M., S. FOSSO WAMBA, M. DE BOURMONT, R. TELLES, "Blockchain adoption in operations and supply chain management: empirical evidence from an emerging economy", International Journal of Production Research, November 2021, vol. 59, no. 20, pp. 6087-6103
10.1080/00207543.2020.1803511
