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About

About

Fábio Couto is a researcher with an academic background in business, technology, and humanities. He holds a Master's in Electronic Business from the Porto Accounting and Business School (ISCAP). Currently, he is pursuing a Ph.D. in Digital Media - Technologies and Human-Machine Interaction at the Faculty of Engineering of University of Porto (FEUP) and he is also a research fellow at INESC TEC. He is also an invited assistant professor at ISCAP and Porto Executive Academy (PEA) in the area of Digital Transformation in Social Economy organizations, having participated in research projects and co-supervised a graduate thesis. His research interest spans Digital Transition strategies, Digital Maturity models and technological innovation in organizational settings. He has received awards for academic excellence (top student in his MA program and academic merit scholarship) and innovation (member of the regional winning team in a co-creation and business innovation academic contest), besides having been involved in multiple Erasmus+ initiatives.

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Details

Details

  • Name

    Fábio Couto
  • Role

    Research Assistant
  • Since

    01st February 2025
Publications

2025

Contributions for the Development of Personae: Method for Creating Persona Templates (MCPT)

Authors
Couto, F; Malta, MC;

Publication
HCI INTERNATIONAL 2024-LATE BREAKING PAPERS, PT I

Abstract
This paper contributes to developing a Method for Creating Persona Templates (MCPT), addressing a significant gap in user-centred design methodologies. Utilising qualitative data collection and analysis techniques, MCPT offers a systematic approach to developing robust and context-oriented persona templates. MCPT was created by applying the Design Science Research (DSR) methodology, and it incorporates multiple iterations for template refinement and validation among project stakeholders; all of the proposed steps of this method were based on theoretical contributions. Furthermore, MCPT was tested and refined within a real-life R&D project focusing on developing a digital platform e-marketplace for short agrifood supply chains in two iteration cycles. MCPT fills a critical void in persona research by providing detailed instructions for each step of template development. By involving the target audience, users, and project stakeholders, MCPT adds rigour to the persona creation process, enhancing the quality and relevance of personae casts. This paper contributes to the body of knowledge by offering an initial proposal of a comprehensive method for creating persona templates within diverse projects and contexts. Further research should explore MCPT's adaptability to different settings and projects, thus refining its effectiveness and extending its utility in user-centred design practices.

2025

Socio-Technical AI Maturity in Supply Chains: Insights from the Pulp and Paper Sector

Authors
Fernanda Freitas; Ricardo Zimmermann; Gaudencio Freires; Fabio Couto; Cristiano Fontes; António Lucas Soares; Gustavo Dalmarco; Donna Rhodes; Jorão Gomes;

Publication
IFIP advances in information and communication technology

Abstract

2025

Collaborating with Algorithms: AI for Collaborative Supply Chain Management

Authors
Fabio Couto; Mariana Curado Malta; António Lucas Soares;

Publication
IFIP advances in information and communication technology

Abstract

2025

Aligning Frameworks: Identifying Compatible Pairs of Digital Transformation and Maturity Models

Authors
Couto, F; Curado Malta, M;

Publication
SN Computer Science

Abstract
Digital Transformation Models (DTM) and Digital Maturity Models (DMM) are two artefacts that guide the planning and implementation of Digital Transformation (DT) initiatives. When used in a combined approach, a DTM-DMM pairing could support DT managers and practitioners, as DTs are holistic and complex initiatives with high failure rates. However, no study has yet systematically addressed the compatibility amongst artefacts. This paper, therefore, aims to analyse the compatibility between academic DTMs and DMMs. Based on architectural compatibility and conceptual similarity, we provide a structured and replicable mixed methods approach to assessing artefact compatibility. To achieve this, we start with a systematic literature review to identify existing academic DTMs and DMMs, analyse the models and group them according to their scope. After, we employ quantitative similarity analysis techniques (Term Frequency-Inverse Document Frequency and Bidirectional Encoder Representations from Transformers combined with Cosine Similarity) and perform a qualitative compatibility analysis to establish ground truth. Based on this analysis, we apply the Receiver Operating Characteristic Curve technique to define threshold values for compatibility assessment. The threshold values were used to suggest compatible DTM-DMM pairings, resulting in nine DTM-DMM binomials for Small and Medium-sized Enterprises. The findings support managers and practitioners in selecting DTM-DMM pairs to guide DT initiatives while offering academics a mixed-methods approach based on the similarity analysis field to evaluate artefact compatibility systematically. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2025.