MPhil (University of Cambridge)
Biography
Antoine is working on topics around complex contagion of behaviour and adoption of new technologies and practices. His research uses mathematical models (population dynamics and evolutionary game theory) to study adoption patterns while taking into account informal characteristics, such as social comparison and culture, as well as formal characteristics such as incentives and network structure of organisations and communities. His PhD work provides novel models of innovation adoption highlighting a conceptual gap in the literature: the impact of relative benefits in the adoption decision. This work was awarded the INFORMS TIMES Best Doctoral Dissertation 2020.
Antoine is currently extending similar behavioural-based modelling approaches to the healthcare context to help Public Health England in their response to the COVID-19 pandemic in the East of England.
Antoine is a Fellow of the Royal Society of Arts, Manufactures and Commerce and a member of the New York Academy of Science (NYAS), the Institute for Operations Research and Management Sciences (INFORMS), the Production and Operations Management Society (POMS).
Research interests
Mathematical-based social science; innovation; behavioural contagion; managing incentives; population dynamics; evolutionary game theory.
Antoine Feylessoufi is a member of the Operations & Technology Management subject group.
Awards & honours
- Best Doctoral Dissertation Award, INFORMS TIMES, 2020
Publications & papers
Papers under review/revision
Feylessoufi, A., Kavadias, S. and Ralph, D. (2020) “Organizational adoption of innovative operational practices: the role of social comparisons.” Social Science Research Network (available online) (under revision)
Betcheva, L., Erhun, F., Feylessoufi, A., Gonçalves, P., Jiang, H., Kattuman, P., Pape, T., Pari, A., Scholtes, S. and Tyrrell, C. (2020) “Rapid COVID-19 modeling support for regional health systems in England.” Social Science Research Network (available online) (under revision)
Working papers
“Adoption of practices in production networks: centralised vs decentralised”
“Cross-functional teams, incentives and the manifestation of task uncertainty” (with Jeremy Hutchison-Krupat and Stylianos Kavadias)
“The impact of formal incentives on teams: micro-evidence from supermarkets” (with Francisco Brahm and Marcos Singer)
“Google mobility data as a lead indicator to surges of Covid-19 cases” (with Paul Kattuman and Stefan Scholtes)
Invited conference presentations
Feylessoufi, A. (2020) “Organizational adoption of innovative operational practices: the role of social comparisons.” In: European TOM Virtual Seminar Series, 25 November 2020.
Feylessoufi, A. (2020) “Adoption of innovations: modelling the interplay of behavioural biases, incentives and network structure.” (Dissertation Award Session) In: Virtual INFORMS Annual Meeting, 7-13 November 2020.
Feylessoufi, A. (2020) “Organizational adoption of innovative operational practices: the role of social comparisons.” In: Virtual INFORMS Annual Meeting 2020, 7-13 November 2020.
Feylessoufi, A. (2019) “Incentive metrics in the presence of project performance and task interdependence uncertainties.” In: INFORMS Annual Meeting, 20-23 October 2019, Seattle, WA, USA.
Feylessoufi, A. (2019) “The role of social comparisons in the adoption of new management practices.” In: INFORMS Annual Meeting, 20-23 October 2019, Seattle, WA, USA.
Feylessoufi, A. (2019) “Incentive metrics for team projects in the presence of task interdependence and uncertainty.” In: POMS, Collaborative R&D Session, 2-6 May 2019, Washington DC, USA.
Feylessoufi, A. (2018) “Technology adoption in organisations: an evolutionary model. In: INFORMS, General Session, 4-7 November 2018, Phoenix, AZ, USA.
Feylessoufi, A. (2018) “Technology and innovation adoption in organisations: an evolutionary model. In: POMS, Incentives in New Product Development Session, 4-7 May 2018, Houston, TX, USA.
Feylessoufi, A. (2017) “Risk taking in organisations: an evolutionary approach.” In: INFORMS, Managing Incentives in Collaborative New Product Development Session, 22-25 October 2017, Houston, TX, USA.