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About

About

Researcher, in technology adoption and innovation process, at the Centre for Enterprise of Systems Engineering from INESC TEC. She is invited Professor at Faculty of Engineering of University of Porto . Before joining INESC TEC she worked as a senior consultant in health strategy management and planning, developing several consulting projects for the healthcare sector's regional and national government bodies and she was invited assistant and invited Professor at the University of Minho (2003-2017). Ana obtained a PhD in Engineering and Industrial Management (Faculty of Engineering of University of Porto, 2016), an M.S. in Quantitative Methods Applied to Management (Porto Business School of University of Porto, 2003) and a B.S. in Engineering and Industrial Management (University of Aveiro, 1998). Member of the executive committee of the iilab (Industry and Innovation lab of INESC TEC) responsible for the training area. Supervisor of several Master's theses. Researcher/consultant in several R&D projects, funded by different entities, in technology adoption, innovation process, design and development of advanced training programmes and healthcare planning topics. Author of several publications in international journals in management, technology management and healthcare planning/management. Her main research interests are technology management and technology implementation.

Interest
Topics
Details

Details

  • Name

    Ana Cristina Simões
  • Role

    Senior Researcher
  • Since

    15th June 2011
016
Publications

2024

Supporting decision-making of collaborative robot (cobot) adoption: The development of a framework

Authors
Silva, A; Simoes, AC; Blanc, R;

Publication
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE

Abstract
Collaborative robots (cobots) are emerging in manufacturing as a response to the current mass customization production paradigm and the fifth industrial revolution. Before adopting this technology in production processes and benefiting from its advantages, manufacturers need to analyze the investment. Therefore, this study aims to develop a decision -making framework for cobot adoption, incorporating a comprehensive set of quantitative and qualitative criteria, to be used by decision -makers in manufacturing companies. To achieve that objective, a qualitative study was conducted by collecting data through interviews with key actors in the cobot (or advanced manufacturing technologies) adoption decision process in manufacturing companies. The main findings of this study include, firstly, an extensive list of decision criteria, as well as some indicators to be used by decisionmakers, some of which are new to the literature. Secondly, a decision -making framework for cobot adoption is proposed, as well as a set of guidelines to use it. The framework is based on a weighted scoring method and can be customizable by the manufacturing company depending on its specific context, needs, and resources. The main contribution of this study consists in assisting decision -makers of manufacturing companies in performing more complete and sustained decision analyses regarding cobots adoption.

2024

What Matters for Managers When Adopting Cobots in Manufacturing Organisations? - The Results of a Survey Study in Portuguese SMEs

Authors
Couto, G; Simões, AC; Ferreira, DF; Sousa, SA; Moreira, RA; Ribeiro, L;

Publication
IFIP Advances in Information and Communication Technology

Abstract
Collaborative robots, or cobots, are increasingly used by manufacturing companies to meet the demands for greater flexibility and to adapt to the trend of mass customisation in production. When considering the adoption of cobots, companies enter a critical decision-making phase. This study aims to identify the relevant decision factors for adopting collaborative robots (cobots) in manufacturing medium-sized enterprises (SMEs) in Portugal, using a combined framework of Technology-Organisation-Environment (TOE), Diffusion of Innovations (DOI) theory, and Institutional Theory. Data was collected through an online survey distributed to Portuguese manufacturing companies, yielding 78 valid responses. Analysis conducted using SmartPLS 4 revealed that top management support, resource availability, and industry pressure significantly influence the adoption decision. However, factors such as the relative advantage of cobots, compatibility with existing processes, organisational innovativeness, human resources quality, and external support did not significantly impact SMEs’ adoption of cobots. These findings enhance the understanding of technology management, specifically the process of adopting cobots in manufacturing. The insights from this study help managers focus on the key factors critical for successful cobot adoption, supporting decision-makers in making more informed choices. © IFIP International Federation for Information Processing 2024.

2024

Business Model Revolution: Unleashing Innovation Through Digitalisation, Servitisation and Collaborative Research in Industrial Companies

Authors
Mesquita, M; Simões, AC; Teles, V; Dalmarco, G;

Publication
Lecture Notes in Mechanical Engineering

Abstract
Companies are putting more emphasis on the customer experience, associating services with their physical products with the help of emerging technologies. At the same time, several actors participating in research and innovation projects, such as universities, research institutes, and service providers, are involved in the value co-creation process. Thus, this study describes how digitalisation and servitisation in the context of participation in research and innovation projects contributed to innovation in industrial companies’ business model (BM). Qualitative exploratory research took place, collecting data through interviews with twelve key actors in industrial companies. The interviewees were professionals in management and R&D areas and founders from nine European countries who participated in six research and innovation European projects. The exchange of knowledge and experiences between the different actors of the innovation ecosystem influences this. From a practical point of view, research provides managers of industrial companies with the best practices and describes the main changes observed in the BM Canvas. This study also contributes to categorising companies in terms of their service maturity by associating factors other than servitisation, such as digitalisation and the actors of the research and innovation projects. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

2024

Burnout and coping strategies among Professors during COVID-19: Portugal-Brazil comparative study

Authors
Pinto, A; Carvalho, C; Rodriguez, S; Simões, A; Carvalhais, C; Gonçalves, FJ; Santos, J;

Publication
Atlantis Highlights in Social Sciences, Education and Humanities - International Conference on Lifelong Education and Leadership for All (ICLEL 2023)

Abstract

2024

Empowering SMEs for the digital future: unveiling training needs and nurturing ecosystem support

Authors
Carvalho, T; Simoes, AC; Teles, V; Almeida, AH;

Publication
EUROPEAN JOURNAL OF ENGINEERING EDUCATION

Abstract
Previous studies show that digital transition brings several benefits and challenges for companies. Among those challenges, particularly for Small and Medium-sized Enterprises (SMEs), the main one is increased capacitation, from technical roles to management. Considering this, the main objective of this study is to identify the training needs and the ecosystem support in the face of the digital transition for Portuguese manufacturing SMEs.Semi-structured interviews were conducted with industry experts and company professionals in the automotive and textile sectors. It was concluded that all workers, from technical roles to middle and top management, need more digital capabilities and would benefit from training programmes. The most desired areas for training are data science, virtualisation skills, quality assurance, technical training, and soft skills. The preferred format is physical (or hybrid at most) during working hours and with theoretical training before on-the-job learning. Both industrial companies and experts believe in the value of involving external entities in the training of employees, with the three most referred entities being technology and interface centres, universities, and business associations.

Supervised
thesis

2023

Women in Manufacturing: challenges and drivers influence on self- and collaborators’ perceptions as entrepreneurs?

Author
Sandra Rafaela Alves Monteiro

Institution
INESCTEC

2023

Os impactos da adoção de tecnologias da Indústria 4.0 nas dimensões económica, social e ambiental da sustentabilidade em empresas industriais

Author
Duarte Rafael de Almeida

Institution
INESCTEC

2023

The contribution of Industry 4.0 technologies to developing new services that support sustainable and circular practices – the case of footwear companies

Author
Maria Leonor Motinni Monteiro

Institution
INESCTEC

2022

Burnout em Professores do Ensino Superior-estudo comparativo entre Portugal e Brasil

Author
Susana Gonçalves Rodriguez

Institution
INESCTEC

2022

Competências Digitais nos Locais de Trabalho: uma Revisão Sistemática da Literatura

Author
Ana Raquel Marques Domingues

Institution
INESCTEC