Percorrer por autor "Cardoso, Antonio J. Marques"
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- Industry 4.0 in Portugal - Economic Sectors MaturityPublication . Pedro Reis; Guimarães, André; Reis, Pedro; Cardoso, Antonio J. MarquesAssessing digital maturity is critical to successfully implementing Industry 4.0 in companies. This study evaluates the digital maturity of Portuguese companies across different regions and sectors using the Shift2Future tool, a self-assessment model adapted to the Portuguese context. The model assesses six dimensions: Strategy and Organization, Smart Infrastructure, Smart Operations, Smart Products, Data-Driven Services, and Human Resources, on a Likert scale from 0 to 5. Data was gathered from 610 companies across sectors like automotive, ceramics, and metalworking through a questionnaire conducted between 2022 and 2023. Using STATA 18.0 software, the analysis included Pearson correlation and Exploratory Factor Analysis (EFA). The results indicate that companies in the North and Lisbon & Tagus Valley regions exhibit higher digital maturity. Traditional sectors like ceramics and glass show lower maturity due to technological and cultural challenges. This study evaluates the digital maturity of Portuguese businesses and suggests ways to improve their Industry 4.0 competitiveness.
- Industry 4.0 Readiness Assessment – A Comparative Analysis of Portuguese and Brazilian CompaniesPublication . Guimarães, André; Moura, Luciano Raizer; Cardoso, Antonio J. MarquesPurpose: This paper aims to present a comparative analysis of the Industry 4.0 (I4.0) maturity levels between Portuguese and Brazilian industrial companies. This study focuses on identifying signi¯cant di®erences across various evaluation dimensions using a standardized maturity model (MM). Methodology: The same evaluation model, developed by the German Mechanical Engineering Industry Association (VDMA), was applied to Portuguese and Brazilian companies, speci¯cally in the State of Esp {rito Santo (ES). The research encompassed 370 Portuguese industrial companies and 46 Brazilian ones. The VDMA platform was used to process individual results, indicating the levels across six model dimensions and providing an overall score on a scale of 0–5. The data collected were then tabulated to enable a comparative analysis between the two countries. Findings: The study revealed that, on average, Brazilian companies have a lower maturity level (0.95) than Portuguese companies (1.22) on the 0–5 scale for I4.0 readiness. Notably, signi¯cant di®erences were observed in the dimensions of Smart Operations and Employees. Based on these di®erences, this study outlines potential pathways for these companies to enhance their I4.0 maturity levels. Originality/value: This research provides a unique comparative perspective on industrial companies' I4.0 maturity levels in Portugal and Brazil, using a standardized and widely recognized MM. The ¯ndings o®er valuable insights into the speci¯c areas where companies in these countries can focus their e®orts to advance their readiness for I4.0, highlighting the importance of tailored strategies for di®erent national contexts.
- Lean philosophy and Value Engineering methodologies. Their relations and synergy using Bert a natural language processing modelPublication . Enrique, Daisy; Guimarães, André; Estácio Marques Mendes Gaspar, Daniel Augusto; Reis, Pedro; Cardoso, Antonio J. MarquesOrganizations worldwide in asset management and engineering consistently strive to eliminate waste through approaches like Lean and adopting core functions through concepts like Value Engineering (VE). Several authors affirmed that integrating VE with Lean can enhance, streamline, and amplify efforts to implement Lean principles in an organization. Conversely, Lean can enhance the effectiveness of VE initiatives. Therefore, based on a literature review using a natural language processing algorithm, our study focused on understanding the intersection between those two concepts. Eight main sub-topics related to Lean Manufacturing and Value Engineering were identified within three major topics. Publications on Lean Healthcare have centered on enhancing the patient experience and offer a potential pathway for incorporating Value Engineering (VE) and Lean in the future. However, there is a lack of research on applying Value Engineering in conjunction with Lean within this domain. Consequently, this presents an opportunity for future research.
- Overview of the use of data assets in the context of Portuguese companies: Comparison between Micro, SMEs and large companiesPublication . Guimarães, André; Enrique, Daisy; Reis, Pedro; Cardoso, Antonio J. MarquesIn the digital age, data has become a crucial asset for businesses, serving as a valuable resource for production and decision-making. Effective data management is essential for enhancing companies’ competitiveness and operational efficiency. While big data holds the potential to drive innovation, particularly for small and medium-sized companies (SMEs), many companies struggle to leverage this digital capability effectively. This article examines the nuances of data management practices in Portugal, highlighting the differences between micro, small, medium, and large companies. To achieve this, data were collected from 390 Portuguese companies, and a Kruskal–Wallis Test was conducted to determine if significant differences exist in data utilization across company sizes. The results indicate substantial disparities in the use of data for developing new services and in the application of technologies for Data Storage Security, Security for Data Exchange with Partners, and Cloud Computing Security among micro, small, medium, and large companies. These findings underscore the importance of tailored strategies to improve data management practices and enhance the digital capabilities of companies of all sizes.
- Overview of the use of data assets in the context of Portuguese companies: Comparison between SMEs and large companiesPublication . Guimarães, André; Enrique, Daisy; Estácio Marques Mendes Gaspar, Daniel Augusto; Reis, Pedro; Cardoso, Antonio J. MarquesIn the digital age, data becomes a crucial asset for businesses, serving as a valuable resource for production. Effective data management is crucial to companies' competitiveness and operational efficiency. While big data has the potential to help small and medium-sized enterprises (SMEs) innovate their products, many companies find it challenging to utilize this digital capability effectively. Therefore, this article examines the nuances of data management in Portugal, highlighting visible differences between SMEs and large companies. With that purpose, data were collected from 390 Portuguese companies, and a Kruskal-Wallis Test was conducted to examine if significant differences exist in data exploitation between small and large companies. The main results indicate a noteworthy difference in the use of data for developing new services and the utilization of technologies for Data Storage Security, Security for Data Exchange with partners, and Cloud Computing Security between Small and Medium-Large Companies.
- The Paradox Between Concept Knowledge and Digital Maturity Level for Industry 4.0: The Portuguese CasePublication . Guimarães, André; Pereira, Rosivaldi; Pereira, Maria Teresa; Reis, Pedro; Cardoso, Antonio J. MarquesThis study investigates the paradox between theoretical knowledge of the Industry 4.0 (I4.0) concept and the actual level of digital maturity observed in Portuguese industrial companies. Specifically, it examines whether companies’ awareness of I4.0, geographic location, and size influence their capacity to adopt and integrate digital technologies. Data were collected from a sample of 450 companies through a structured self-assessment questionnaire developed in collaboration with the Shift2Future consortium. The instrument evaluated the degree of familiarity with the I4.0 concept and the stage of digital maturity across different dimensions. The statistical analysis applied ordinal logistic regression models and chi-square tests to assess three hypotheses related to the potential influence of concept knowledge, regional distribution, and company size. The results reveal no statistically significant relationship between the tested variables and the level of digital maturity, suggesting that individual factors do not primarily drive digital advancement. Instead, the findings indicate that broader structural and strategic dimensions, such as leadership commitment, participation in support programs, availability of qualified human resources, and alignment with national and European digitalization agendas, are more decisive in determining companies’ digital readiness. These results challenge common assumptions in the literature, which often posit a direct relationship between company characteristics and technological integration. The study highlights the limited predictive power of isolated variables and highlights the importance of a systemic and integrated approach to promoting digital transformation. The findings contribute to academic and policy discussions by identifying the need for more comprehensive frameworks considering the complex interplay of internal capabilities and external enablers. Future research should expand this approach by including longitudinal and sector-specific analyses and qualitative data to explore internal organizational dynamics, leadership behaviour, and employee digital literacy. The data gained can support designing more effective and inclusive digital transition strategies for industrial firms in Portugal and similar European contexts.