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Carlos F.A. Arranz

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

Senior Lecturer in Business Operations

Dr Carlos F.A. Arranz is a Senior Lecturer in Business Operations at 杏吧app下载 Business School (University of 杏吧app下载), serving as Programme Leader for the BA in Business Logistics and Supply Chain Management and Co-lead of the SIG on Artificial Intelligence in Business and Management. His research applies machine learning and data analytics to help businesses become more productive, sustainable, competitive, and secure through innovation, digitalization, circular economy models, and cybersecurity. His research has been published in world-leading journals such as Business Strategy and the Environment, Journal of Environmental Management, IEEE Transactions on Engineering Management, and Technological Forecasting and Social Change, among others. Moreover, Carlos has secured funding for projects working with companies, particularly SMEs. He is currently a co-investigator on a large-scale multi-institutional research project funded by the European Union, with a total budget of 鈧�5 million over three years.

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 Universit茅 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 is currently serving as an editorial board member for the Journal of Business Analytics and Social Sciences & Humanities Open. He is also Guest Co-Editor for a Special Issue on circular economy capabilities and net zero in the British Journal of Management. Previously, he served on the editorial board of the Millennium: Journal of International Studies. He also regularly peer reviews articles for Technological Forecasting and Social Change, Business Strategy and the Environment, and Journal of Industrial Ecology, IEEE Transactions on Engineering Management.

Business and management

Responsibilities within the university
  • Programme Leader for the BA in Business Logistics and Supply Chain Management
  • Co-lead of the SIG on Artificial Intelligence in Business and Management
  • Teaching in a variety of modules in the area of Business Operations and Sustainability, including:
    • Business Creation Project
    • Strategic Management
    • Global Business and Sustainability
    • Sustainability in Business
    • International Business Environment
    • Introduction to Business Operations
    • Future Paths
  • Module Leader
  • Dissertation Supervision
  • PhD Supervisor
  • Personal Tutor
  • Member of the BOS ECR Network Committee
  • Member of the Networks Urban Systems Centre (NUSC) and Connected Cities Research Group (CCRG)

Recognition

    Journal Responsibilities:

    • Editorial Board Member of the Journal of Business Analytics
    • Editorial Board Member of Social Sciences & Humanities Open
    • Guest editor for the Special Issue “” in the British Journal of Management.
    • Peer reviewer for Technological Forecasting and Social Change, Business Strategy and the Environment, Journal of Industrial Ecology, and IEEE Transactions on Engineering Management.

    Memberships and Panels:

    • Expert for the European Union (ID: EX2023D737683)
    • Member of the European DIGITAL SME Scientific Committee for the European Digital SME Alliance
    • Member of the Group for Research on Organizations and the Natural Environment (GRONEN)
    • Member of the Centre for Social and Economic Network Analysis (SENA) – University of Essex
    • Member of the British Academy of Management (BAM)
    • Permanent member of the scientific committee of the International Conference on University, Enterprise, and Society (UES).
    • Member of the British Academy Early Career Researcher Network
    • Member of the Impact Scholar Community

    Teaching:

    • Fellow of the Higher Education Academy (FHEA)
    • Certified Management and Business Educator (CMBE)

Research / Scholarly interests

Dr Carlos F.A. Arranz's research lies at the intersection of machine learning, business strategy, and policy perspectives. His work applies advanced data analytics and machine learning to help businesses, particularly SMEs, become more productive, sustainable, competitive, and secure. His research spans four key areas:

  1. Digitalization: Investigating internal and external drivers of digitalization, digital and innovation capabilities, and the adoption of emerging technologies such as AI, blockchain, and big data in business contexts.
  2. Circular Economy: Examining the effects of circular economy policies on businesses, exploring the interplay between consumption and production in circular models, and analysing how innovation and financial support impact circular economy implementation. Moreover, he is currently investigating under an EU-funded project (CIRCUBATT) circular economy innovations in the European battery sector.
  3. Innovation: Focusing on eco-innovation at regional and organisational levels, including the development of eco-innovation capabilities and the role of cooperation in fostering sustainable innovation practices.
  4. Cybersecurity: Exploring cybersecurity capabilities, the relationship between cyber-attacks and investment decisions, and enhancing cybersecurity resilience in SMEs.

Carlos employs a mix of methodologies in his research, combining traditional econometric methods (e.g., regression analysis, structural equation modelling) with advanced machine learning techniques (e.g., artificial neural networks, big data analytics). His aim with this interdisciplinary approach is to provide robust analysis for complex business phenomena, yielding both statistically rigorous and practically applicable insights.

Current research interests extend to emerging topics, including:

  • Exploration of regenerative economy models and their implications for business strategy, with a particular focus on how these models can be operationalised within existing corporate structures.
  • Development and implementation of net-zero strategies for SMEs, including sector-specific pathways and the integration of digital technologies in emissions reduction strategies.
  • The intersection of Electric Vehicle Battery Technologies and Circular Economy. Particularly, investigating sustainable advancements in battery lifecycle management, with a focus on recycling, reuse, and the integration of circular economy principles to support the transition to electric mobility and Net Zero strategies.
  • The dual role of AI in cybersecurity, exploring both its potential to enhance defence mechanisms and its use in sophisticated cyber-attacks.
  • The intersection of digital twins and eco-innovation in product design and lifecycle management, investigating how virtual modelling can accelerate sustainable product development and optimise resource use throughout the value chain.

Carlos is committed to ensuring his research has tangible impacts beyond academia. He actively engages in knowledge dissemination through business outreach, SME collaborations, policy recommendations, and open access publications, with the aim of bridging the gap between theoretical advancements and practical applications, contributing to evidence-based decision-making in business and policy spheres.

Keywords: Machine Learning, Business Analytics, Circular Economy, Eco-innovation, Sustainability, Digitalisation, Cybersecurity, SMEs, Artificial Intelligence, Data Analytics, Net Zero, Electric Vehicle Batteries, Circular Business Models, Artificial Neural Networks.

Key funded projects

  • Circular Economy Innovations for Resilient, Competitive and Sustainable Battery Technologies (CIRCUBATT) (January 2025 – December 2027), Funded by Horizon Europe, 鈧�5M (UoG 鈧�1.3M), Grant No. 101192383. Professor Li Zhou (PI), Dr. Hetty Wenxian Sun (Co-I, Operational Lead and Researcher), Dr. James Quang Huy Duong (Co-I, Researcher), Dr. Maggie Mao Xu (Co-I, Researcher), Dr. Carlos F.A. Arranz (Co-I, Researcher), Professor Petros Ieromonachou (Core Advisor). This project aims to transform the European battery sector through integrating AI, data analytics, and sustainable practices. UoG leads the exploration of innovative business models, including Battery-as-a-Service (BaaS), and the development of cross-industry tools for battery sustainability analysis and AI-driven data analytics. The project spans the entire battery lifecycle, focusing on reducing reliance on critical raw materials and strengthening Europe's position in the global battery market.
  • Regional Innovation Fund (2024-present): Co-I for the funded project "Tangible and Intangible Aspects of Socio-Cultural Regeneration: A 杏吧app下载 of Engagement of Young People in 杏吧app下载". The project examines engagement with cultural attractions, focusing on diverse demographics including young people and ethnic minorities. Collaborating with local partners, the research aims to inform strategies for enhancing visitor experiences and supporting sustainable urban regeneration. This ongoing study contributes to understanding the interplay between cultural heritage, modern attractions, and community engagement in urban settings.
  • ESRC InterAct (2024): PI in the funded workshop bringing together academics and industry experts to address challenges faced by SMEs in adopting Industrial Internet of Things (IIoT) technologies. Aimed to bridge gap between social sciences and technology, generating actionable research questions through interdisciplinary collaboration.
  • NUSC Small Grant (2024): PI in the funded project to develop a framework for Regenerative Circular Economy Business Models (RCEBMs). Through semi-structured interviews with sustainability experts and business leaders, this project identified key value dimensions, stakeholders, and activities involved in RCE models.
  • SAMS Grant (2023): PI in the funded project to organise a paper development workshop to support ECRs in creating impactful publications related to sustainability, circular economy, and net zero emissions. The workshop facilitated multidisciplinary discussions and guidance from distinguished scholars to support impactful publications.
  • Impact Development Fund (2023): Secured funding as a PI from the University of 杏吧app下载 Impact Development Fund for the project “The effect of Digitalization and Circular Economy integration on SMEs: A Strategic Orientation Approach”, which disseminated the results of the underlying study among business managers and SMEs through (1) a website, (2) a workshop and (3) a good practice guide. The workshop and networking event supported SME adoption of digitalisation and circular economy practices for sustainable growth, outlining actionable recommendations and success factors.
  • CCRG Small Grant (2023): PI in the funded project that created three legal indices quantifying and detailing Circular Economy regulatory efforts in the UK and EU. Developed a comprehensive database of CE laws and multidimensional indices across product lifecycles, 9Rs frameworks, and product/process features, enabling granular analysis of CE regulation effectiveness.

Recent publications

Article

Sang, V.T.D , Duong, Quang Huy, Zhou, Li, Fernandez De Arroyabe Arranz, Carlos (2024), . MDPI. In: , , , . MDPI, Batteries, 10: 451 (12) 2313-0105 (Online) (doi: https://doi.org/10.3390/batteries10120451).

Arroyabe, Marta F. , Arranz, Carlos F. A., De Arroyabe, Ignacio Fernandez, Fernandez de Arroyabe, Juan Carlos (2024), . Taylor and Francis. In: , , , . Taylor and Francis, Journal of Computer Information Systems ISSN: 0887-4417 (Print), 2380-2057 (Online) (doi: https://doi.org/10.1080/08874417.2024.2394440).

Arroyabe, Marta F. , Fernandez De Arroyabe Arranz, Carlos F.A., Fernandez De Arroyabe, Ignacio, Fernandez de Arroyabe, Juan Carlos (2024), . Elsevier. In: , , , . Elsevier, Technology in Society, 78: 102670 . pp. 1-10 ISSN: 0160-791X (Print), (doi: https://doi.org/10.1016/j.techsoc.2024.102670).

Arroyabe, Marta F. , Fernandez De Arroyabe Aranz, Carlos, Fernandez De Arroyabe, Juan Carlos (2024), . Wiley. In: , , , . Wiley, Business Strategy and the Environment . pp. 1-20 ISSN: 0964-4733 (Print), 1099-0836 (Online) (doi: https://doi.org/10.1002/bse.3858).

Arroyabe, Marta F. , Fernandez De Arroyabe Arranz, Carlos, Fernandez De Arroyabe, Juan Carlos, Fernandez, Ignacio (2024), . Elsevier. In: , , , . Elsevier, Procedia Computer Science, 237 . pp. 80-87 ISSN: 1877-0509 (Print), (doi: https://doi.org/10.1016/j.procs.2024.05.082).

Arranz, Carlos F.A. , Arroyabe, Marta F., Fernandez De Arroyabe Arranz, Carlos (2024), . Elsevier. In: , , , . Elsevier, Journal of Cleaner Production, 456: 142307 . pp. 1-10 ISSN: 0959-6526 (Print), (doi: https://doi.org/10.1016/j.jclepro.2024.142307).

Arroyabe, Marta F. , Arranz, Carlos F.A., De Arroyabe, Ignacio Fernandez, de Arroyabe, Juan Carlos Fernandez (2024), . Elsevier. In: , , , . Elsevier, Computers and Security, 141: 103826 ISSN: 0167-4048 (Print), 1872-6208 (Online) (doi: https://doi.org/10.1016/j.cose.2024.103826).

Arranz, Carlos F.A. and , (2024), . Wiley. In: , , , . Wiley, Business Strategy and the Environment . pp. 1-24 ISSN: 0964-4733 (Print), 1099-0836 (Online) (doi: https://doi.org/10.1002/bse.3704).

Arroyabe, Marta F. , Arranz, Carlos F.A., Fernandez de Arroyabe, Ignacio Fernandez de, Fernandez de Arroyabe, Juan Carlos (2024), . Elsevier. In: , , , . Elsevier, Technological Forecasting and Social Change, 199: 123051 . pp. 1-13 ISSN: 0040-1625 (Print), 1873-5509 (Online) (doi: https://doi.org/10.1016/j.techfore.2023.123051).

Fernandez De Arroyabe Arranz, Carlos , Arroyabe, Marta F., Arranz, Nieves, de Arroyabe, Juan Carlos Fernandez (2023), . Elsevier. In: , , , . Elsevier, Technological Forecasting and Social Change, 196: 122880 . pp. 1-18 ISSN: 0040-1625 (Print), 1873-5509 (Online) (doi: https://doi.org/10.1016/j.techfore.2023.122880).

Fernandez de Arroyabe, Juan Carlos , Arroyabe, Marta F., Fernandez, Ignacio, Arranz, Carlos F.A. (2023), . Taylor and Francis Group - Taylor and Francis. In: , , , . Taylor and Francis Group - Taylor and Francis, Journal of Computer Information Systems . pp. 1-17 ISSN: 0887-4417 (Print), 2380-2057 (Online) (doi: https://doi.org/10.1080/08874417.2023.2248925).

Fernandez De Arroyabe Arranz, Carlos , Sena, Vania, Kwong, Caleb (2023), . Institute of Electrical and Electronics Engineers (IEEE). In: , , , . Institute of Electrical and Electronics Engineers (IEEE), IEEE Transactions on Engineering Management . pp. 1-15 ISSN: 0018-9391 (Print), 1558-0040 (Online) (doi: https://doi.org/10.1109/TEM.2023.3286953).

Arranz, Carlos F.A. , Kwong, Caleb, Sena, Vania (2023), . Wiley. In: , , , . Wiley, Journal of Industrial Ecology ISSN: 1088-1980 (Print), 1530-9290 (Online) (doi: https://doi.org/10.1111/jiec.13397).

Arranz, Carlos F.A. and , Arroyabe, Marta F. (2023), . Elsevier Ltd.. In: , , , . Elsevier Ltd., Journal of Environmental Management, 340: 117906 ISSN: 0301-4797 (Print), (doi: http://dx.doi.org/10.1016/j.jenvman.2023.117906).

Alberto Perez, Carlos , Arroyabe, Marta F., Ubierna, Francisco, Arranz, Carlos F.A. , Fernandez De Arroyabe Arranz, Carlos (2023), . Routledge - Taylor & Francis. In: , , , . Routledge - Taylor & Francis, Studies in Higher Education, 48 (6) . pp. 910-925 ISSN: 0307-5079 (Print), 1470-174X (Online) (doi: https://doi.org/10.1080/03075079.2023.2172565).

Arranz, Nieves , Arroyabe, Marta F., Li, Jun, F. A. Arranz, Carlos , Fernandez de Arroyabe, Juan Carlos (2022), . ERP Environment - Wiley. In: , , , . ERP Environment - Wiley, Business Strategy and the Environment . pp. 1-14 ISSN: 0964-4733 (Print), 1099-0836 (Online) (doi: https://doi.org/10.1002/bse.3276).

Fernandez De Arroyabe, Ignacio , F.A. Arranz, Carlos, Arroyabe, Marta F., Fernandez de Arroyabe, Juan Carlos (2022), . Elsevier. In: , , , . Elsevier, Computers and Security, 124: 102954 . pp. 1-17 ISSN: 0167-4048 (Print), (doi: https://doi.org/10.1016/j.cose.2022.102954).

Fernandez De Arroyabe Arranz, Carlos , Sena, Vania, Kwong, Caleb (2022), . Elsevier. In: , , , . Elsevier, Journal of Cleaner Production, 355: 131738 ISSN: 0959-6526 (Print), (doi: https://doi.org/10.1016/j.jclepro.2022.131738).

Arranz, Nieves , Arroyabe, Marta F., Sena, Vania, Fernandez De Arroyabe Arranz, Carlos , Fernandez de Arroyabe, Juan Carlos (2022), . Routledge - Taylor & Francis - Society for Research into Higher Education. In: , , , . Routledge - Taylor & Francis - Society for Research into Higher Education, Studies in Higher Education, 47 (5) . pp. 990-999 ISSN: 0307-5079 (Print), 1470-174X (Online) (doi: https://doi.org/10.1080/03075079.2022.2055323).

Arroyabe, Marta F. , Schumann, Martin, Fernandez De Arroyabe Arranz, Carlos (2022), . Routledge - Taylor & Francis - Society for Research into Higher Education. In: , , , . Routledge - Taylor & Francis - Society for Research into Higher Education, Studies in Higher Education, 47 (5) . pp. 955-963 ISSN: 0307-5079 (Print), 1470-174X (Online) (doi: https://doi.org/10.1080/03075079.2022.2055318).

Arranz, Nieves , Arroyabe, Carlos F., Fernandez de Arroyabe, Juan Carlos (2019), . Wiley. In: , , , . Wiley, Business Strategy and the Environment, 28 (7) . pp. 1406-1415 ISSN: 0964-4733 (Print), 1099-0836 (Online) (doi: https://doi.org/10.1002/bse.2322).