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Sobre
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Sobre

Investigador do CESE. Atuo em projetos de pesquisa na área de Gestão de Tecnologia, abordando aspectos como a estratégia da empresa, facilitadores e barreiras e também o processo de adoção de novas tecnologias. Tenho interesse de investigação nas áreas de Gestão de Tecnologia e Inovação, Empreendedorismo Acadêmico e Interação Universidade-Empresa. Possuo pos-doc em Indústria 4.0, doutoramento em Gestão de Tecnologia e Invoação, mestrado em Engenharia Biomédica e bacharelado em Engenharia de Controle e Automação. Já atuei como professor de graduação e pós graduação, além de experiência no processo de incubação de empresas e transferencia de tecnologia da Agência Espacial Europeia.

Tópicos
de interesse
Detalhes

Detalhes

011
Publicações

2021

Adoption of digital technologies during the COVID-19 pandemic: Lessons learned from collaborative Academia-Industry R&D case studies

Autores
Simões, A; Ferreira, F; Castro, H; Senna, P; Silva, D; Dalmarco, G;

Publicação
IEEE International Conference on Industrial Informatics (INDIN)

Abstract

2021

Digital Innovation Hubs: One Business Model Fits All?

Autores
Dalmarco, G; Teles, V; Uguen, O; Barros, AC;

Publicação
SMART AND SUSTAINABLE COLLABORATIVE NETWORKS 4.0 (PRO-VE 2021)

Abstract
Digital transformation is critical for the competitiveness of SMEs. Digital Innovation Hubs (DIHs) aim to regionally support companies in the development of new products, processes, or services, providing access to advanced technologies. Since DIHs have to be financially sustainable, it is important to discuss which business models are put forward in such complex arrangements. Our main goal is to analyse how DIHs, specialized in Industry 4.0 technologies and services, create, offer, and capture value. The research was conducted through a documentary analysis of reports about DIHs’ Business Models, generated by three European initiatives (encompassing more than 300 DIHs). Results demonstrate that one Business Model does not fit all, since regional characteristics, which vary among different DIH’s, are the main drivers to define value creation, offer and capture. This work aims to provide DIH managers insights to help them develop sustainability strategies. © 2021, IFIP International Federation for Information Processing.

2020

FASTEN: An IoT platform for Supply Chain Management in a Covid-19 Pandemic Scenario

Autores
Lemos, F; Do Nascimento, T; Dalmarco, G;

Publicação
Markets, Globalization & Development Review

Abstract

2019

Joining Global Aerospace Value Networks: Lessons for Industrial Development Policies

Autores
Santos, C; Abubakar, S; Barros, AC; Mendonca, J; Dalmarco, G; Godsell, J;

Publicação
SPACE POLICY

Abstract
Governmental investments on the development of high-tech clusters are among the main policies for socioeconomic development, enabling countries to be part of global value networks. Our objective is to identify which are the strategies of countries that want to join global aerospace value networks, by means of an abductive case research. Countries were divided in 3 groups (A; B; C) according to their global aerospace exports share. The analytical framework used to identify the strategies has 3 dimensions: network structure, network governance, and network dynamics. Results show different strategies according to the country's global exports share. While for countries in group A (exports above 1%), a strategy focused on the dimension network structure indicated a sustained high-tech sector. Countries in group C tend to focus on specialization, taking advantage of shifts in technological paradigms to upgrade their development level. The dimension network governance is mainly related to governmental efforts toward the creation of clusters and associations, promoting specialization and collaborative work. Finally, the dimension network dynamics describes the attraction of foreign companies to qualify the clusters at countries who belong to group C, while countries at group A reinforce their research and development activities. The comparison between countries is helpful for governmental representatives who want to develop strategies toward increasing participation in an industrial global value network and for supply chain managers to help selecting the locations for their operations. © 2019 Elsevier Ltd

2019

Environmental Factors Influencing the Adoption of Digitalization Technologies in Automotive Supply Chains

Autores
Simoes, A; Oliveira, L; Rodrigues, JC; Simas, O; Dalmarco, G; Barros, AC;

Publicação
2019 IEEE INTERNATIONAL CONFERENCE ON ENGINEERING, TECHNOLOGY AND INNOVATION (ICE/ITMC)

Abstract
Previous literature shows that there are different environmental factors with different impacts on the adoption of technologies in a supply chain context. Thus, the adoption of technologies in supply chains may vary according to different environmental factors. Despite the existence of several studies about adoption of technologies in supply chain contexts that include environmental factors, there is a gap in identifying which environmental factors influence the adoption of digitalization technologies in supply chains. The purpose of this study is therefore to identify and analyze the environmental factors that influence the adoption of digitalization technologies in the supply chain. An exploratory qualitative research was conducted using semi-structured interviews with Portuguese managers of companies at several tiers of the automotive supply chain. Environmental factors were pointed as particularly critical drivers to promote the adoption of digitalization technologies in the automotive supply chain. Such adoption is mainly driven by the Original Equipment Manufacturer (OEM), through coercive and normative pressures over the other tiers of the supply chain. Relevant factors identified are: Compliance with standards and legislation, market and industry pressures, and benchmark the evolution of supply chain partners. This study contributes to the literature with new knowledge concerning new specificities of the environmental factors that showed an important influence on the adoption decision. © 2019 IEEE.