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About

About

Nelson Duarte holds a PhD in Management by the University of Trás-os-Montes e Alto Douro (2008) and a Master in Economics and Management by the Mediterranean Agronomic Institute of Chania (Maich - CHIEAM) (2001). BSc in Management (2001) and Agrarian Management (1999).

Coordinator Professor at the School of Management and Technology of Porto Polytechnic (ESTG-P.PORTO). His main areas of intervention are Business Models, Strategy, Entrepreneurship & Innovation, Project Management, Sustainability and Digitalization.

Researcher (affiliated) at INESCTEC and at International Research Institute for Economics and Management (IRIEM). Director at the International Engineering and Technology Institute (IETI). 

In the past assumed several roles, such as Vice-Dean for Internationationalization, Alumni and Institutional Evaluation; Technical Scientific Council; Bachelor, Master, and Department Director. 



Interest
Topics
Details

Details

Publications

2023

Project Management Maturity in Renovation and Remodelling Construction Firms

Authors
Machado, F; Duarte, N; Amaral, A;

Publication
BUILDINGS

Abstract
Project Management Maturity Models (PMMM) are considered practical tools to deal with poor Project Management (PM) performance, an issue that concerns academics and practitioners. However, the models that exist are something close to one size fits all. This means that those models might not be suitable for activity sectors with specific requirements, such as construction, in particular, the renovation and remodelling construction firms. The present research proposes a PMMM to assess the PM capabilities of Portuguese renovation and remodelling Project-Based Firms (PBF). To achieve this goal, the authors developed documental research, followed by exploratory research through qualitative analysis. The researchers conducted semi-structured interviews and performed a content analysis of the fully transcribed interviews. Compared with the literature review's findings, qualitative analysis results made it possible to find closure on previous research that indicated two models to have the best fit for an assessment project on construction PBFs: the OPM3 from the PMI and the MMGP-Prado. Based on those findings, the latter has the best fit for an assessment project on construction PBF. However, the model needs adjustments to fit the Portuguese context of renovation and remodelling organisations. This article presents a new PMMM for Portuguese renovation and remodelling construction firms based on obtained results. Furthermore, regarding construction PM, this article is among the few that studied PMMM on renovation and remodelling construction companies. Unlike large construction companies, these are small organisations that academics do not target for research.

2023

Recommendation for entrepreneurs

Authors
Duarte, N; Pereira, C;

Publication
Managing Generation Z: Motivation, Engagement and Loyalty

Abstract
In the chapter, we can find the recommendation for entrepreneurs. The authors are trying to answer the question: How should employers treat Generation Z employees? A complex analysis of the research carried out by the authors as well as other examples from Europe and other continents have been pointed out. A recommendation for enterprises has been included. © 2023 selection and editorial matter, Joanna Niezurawska, Radoslaw Antoni Kycia and Agnieszka Niemczynowicz; individual chapters, the contributors.

2023

Recommendation for entrepreneurs

Authors
Duarte, N; Pereira, C;

Publication
Managing Generation Z: Motivation, Engagement and Loyalty

Abstract
In the chapter, we can find the recommendation for entrepreneurs. The authors are trying to answer the question: How should employers treat Generation Z employees? A complex analysis of the research carried out by the authors as well as other examples from Europe and other continents have been pointed out. A recommendation for enterprises has been included. © 2023 selection and editorial matter, Joanna Niezurawska, Radoslaw Antoni Kycia and Agnieszka Niemczynowicz; individual chapters, the contributors.

2023

INDUSTRY 5.0: A SUSTAINABILITY BOOSTER?

Authors
Machado, F; Duarte, N; Amaral, A; Araújo, M;

Publication
PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON PRODUCTION ECONOMICS AND PROJECT EVALUATION, ICOPEV 2022

Abstract
This paper explores the effects of Industry 5.0 on Sustainable Development. The authors first developed a primer review to introduce the new research agenda of Industry 5.0. Secondly, they performed a state-of-the-art review on the topics of Industry 4.0/Industry 5.0 and Sustainability. The eligible documents have been subjected to a content analysis that identified seven themes. The present research identified a positive relationship between the implementation of Industry 4.0 and sustainable development attainment. This relationship constitutes an opportunity for Industry 5.0 to promote sustainability. Notwithstanding, a series of barriers, drivers and enablers were also identified. Also, this research conclusions are aligned with the explanation presented by the European Commission for the development of the Industry 5.0 concept. However, this will not be enough to shift the paradigm effectively. This paper compiled and analysed the most recent advancements in the new research agenda of Industry4.0/Industry 5.0 dedicated explicitly to sustainability, a topic that requires development in theoretical and empirical research.

2023

An Evolutionary Study of the Impact of Artificial Intelligence Technology on Foreign Language Education

Authors
Liang, T; Duarte, N; Yue, GX;

Publication
International Journal of Emerging Technologies in Learning (iJET)

Abstract
This study investigates the evolutionary impact of applying artificial intelligence (AI) technology to foreign language education. By employing complex systems thinking, the relationship between foreign language education and AI technology is explored, and dynamic models are employed to analyze the evolutionary patterns of AI technology in foreign language education. Through model analysis and numerical simulations, the interactive effects between foreign language education and AI technology in different modes are revealed. The findings demonstrate that, under different coupling modes, foreign language education and AI technology can achieve self-organizing evolution. When the interaction coefficient between foreign language education and AI technology is appropriately set, AI technology exhibits emergent properties for foreign language education. Lastly, suggestions are presented to promote the sound development of foreign language education and AI technology.