Percorrer por autor "Enrique, Daisy"
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- 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.