Dr Carlos F.A. Arranz PhD, MSc, BSc

Lecturer in Business Operations

Dr Carlos F.A. Arranz is a Lecturer in Business Operations at the University of Greenwich Business School. His research focuses on the use of Machine Learning to help companies become more productive, sustainable, and competitive through innovation, digitalisation, and the implementation of circular economy models. His research has been published in Business Strategy and the Environment, Studies in Higher Education, and the Journal of Cleaner Production, among others.

Carlos received his PhD in Business Analytics from the University of Essex, where he completed his thesis on the application of Machine Learning methods to the analysis of circular economy business models. He also holds an MRes in International Political Economy from the London School of Economics and Political Science (LSE) and an MRes in Economics and Finance from the Université du Luxembourg. In addition, he received a BSc in Economics and Business Economics (International Economics Studies Specialisation) from Maastricht University.

Prior to his academic career, Carlos worked in investment banking and consulting for several years, which has given him a unique perspective and understanding of the practical applications of his research. He now brings the valuable insights and skills he gained in these industries to his teaching and research.

In addition to his academic and professional experience, Carlos has served on the editorial board of the Millennium: Journal of International Studies, where he identified new topics for the journal and peer-reviewed research articles.

Responsibilities within the university

  • Teaching in a variety of modules in the area of Business Operations and Sustainability, including:
    • Global Business and Sustainability
    • Business Creation Project
    • Introduction to Business Operations
  • Dissertation Supervision
  • Personal Tutor
  • Member of the Connected Cities Research Group (CCRG) and Networks Urban Systems Centre (NUSC)

Research / Scholarly interests

Using machine learning techniques, Carlos' research aims to support sustainability and improve business performance. He has published on the application of machine learning to the analysis of circular economy business models, and has explored the role of institutional pressures in driving the adoption of circular economy practices in firms. In addition, he has examined the impact of eco-innovation on firm performance and the role of digitalisation in enabling sustainable business practices.

His work is focused on helping companies become more productive, sustainable, and competitive through innovation, digitalisation, and the implementation of circular economy models. Carlos has a particular interest in small and medium-sized enterprises (SMEs) and the challenges and opportunities they face in adopting sustainable practices.

Keywords: Machine Learning, Business Analytics, Circular Economy, Eco-innovation, Sustainability, Digitalisation, SMEs.

Recent publications

  • Arranz, C. F. A., Sena, V., & Kwong, C. (2022). Institutional pressures as drivers of circular economy in firms: A machine learning approach. Journal of Cleaner Production, 355, 131738. (doi: https://doi.org/10.1016/j.jclepro.2022.131738)
  • Arroyabe, M. F., Schumann, M., & Arranz, C. F. A. (2022). Mapping the entrepreneurial university literature: a text mining approach. Studies in Higher Education, 47(5), 955-963. (doi: https://doi.org/10.1080/03075079.2022.2055318)
  • Arranz, N., Arroyabe, M. F., Sena, V., Arranz, C. F. A., & Fernandez de Arroyabe, J. C. (2022). University-enterprise cooperation for the employability of higher education graduates: a social capital approach. Studies in Higher Education, 47(5), 990-999. (doi: https://doi.org/10.1080/03075079.2022.2055323)
  • Arranz, N., F. Arroyabe, C., & Fernandez de Arroyabe, J. C. (2019). The effect of regional factors in the development of eco‐innovations in the firm. Business Strategy and the Environment, 28(7), 1406-1415. (doi: https://doi.org/10.1002/bse.2322)

Presentations

Journal Articles:

  • De Arroyabe, I. F., Arranz, C. F. A., Arroyabe, M. F., & de Arroyabe, J. C. F. (2023). Cybersecurity capabilities and cyber-attacks as drivers of investment in cybersecurity systems: A UK survey for 2018 and 2019. Computers & Security, 124, 102954. (Doi: https://doi.org/10.1016/j.cose.2022.102954)
  • Arranz, N., Arroyabe, M. F., Li, J., Arranz, C. F. A., & Fernandez de Arroyabe, J. C. (2022). An integrated view of eco‐innovation in the service sector: dynamic capability, cooperation and corporate environmentalism. Business Strategy and the Environment. (Doi: https://doi.org/10.1002/bse.3276)
  • Arranz, C. F. A., Sena, V., & Kwong, C. (2022). Institutional pressures as drivers of circular economy in firms: A machine learning approach. Journal of Cleaner Production355, 131738. (Doi: https://doi.org/10.1016/j.jclepro.2022.131738)
  • Arroyabe, M. F., Schumann, M., & Arranz, C. F. A. (2022). Mapping the entrepreneurial university literature: a text mining approach. Studies in Higher Education47(5), 955-963. (Doi: https://doi.org/10.1080/03075079.2022.2055318)
  • Arranz, N., Arroyabe, M. F., Sena, V., Arranz, C. F. A., & Fernandez de Arroyabe, J. C. (2022). University-enterprise cooperation for the employability of higher education graduates: a social capital approach. Studies in Higher Education47(5), 990-999. (Doi: https://doi.org/10.1080/03075079.2022.2055323)
  • Arranz, N., F. Arroyabe, C., & Fernandez de Arroyabe, J. C. (2019). The effect of regional factors in the development of eco‐innovations in the firm. Business Strategy and the Environment28(7), 1406-1415. (Doi: https://doi.org/10.1002/bse.2322)

Book Chapters:

  • Arranz, C. F. A., & Fernandez de Arroyabe, J. C. (2022). “The role of organizational capacities in the implementation of circular economy models in organizations”. In Ubierna, F. (ed.) New Studies in Education, Art, and Business for a Diverse Society. Madrid: Fragua, pp. 23-37. (In Spanish)

Conferences:

  • DRUID22 - Copenhagen Business School, Denmark (June 13-15, 2022), “Exploring the effect of drivers in the development of an eco-innovation system. An approach from system dynamics and machine learning”.
  • BAM22 - Alliance Manchester Business School, UK (31st August - 2nd September 2022), “The effect of consumption policies on circular economy business models: A European perspective”.
  • UES2022 International Conference - CIS University Endicott International, Spain (18th November 2022), “The role of organisational capabilities in the implementation of circular economy models in organisations”.