2022
Autores
Silva, RP; Mamede, HS;
Publicação
2022 17TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI)
Abstract
To transform an organization, it isn't possible to ignore the people aspect and the significant impact of talent development in any transformation process. While in larger organizations, there is often access to more resources that ultimately could bring the needed competencies to successfully run such a complex program, in small or medium enterprises, the resources are more limited and the access to talent more difficult, forcing a potential more aggressive strategy in developing the digital skills needed to enable their transformation. This work aims to review some of the literature and better comprehend the role of learning analytics as a practice that could potentially be used to enhance the learning process within Small and Medium Enterprises and support the improvement of digital literacy within these companies.
2022
Autores
Santo, A; Santos, A; Mamede, HS;
Publicação
2022 17TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI)
Abstract
IoT devices that perform translation are often closed proprietary systems which offer no, or very limited, possibilities of being freely integrated with other IoT devices or systems/platforms and cannot be easily updated. The objective of this paper is to offer a Systematic Literature Review (SLR) approach to find and synthesise articles on IoT applications in machine translation and potential integration and interoperability functionalities, along with challenges that arise from it. This research identified IoT based projects/devices that implemented machine translation solutions, including ones that resorted to low-cost devices such as the raspberry pi, as well as challenges faced by IoT devices when it comes to integration/interoperability. The findings in this paper provide a way to become more familiar with IoT based machine translation devices/projects and IoT integration/interoperability challenges, as well as proposing new paths for research.
2022
Autores
da Silva Costa, DA; Mamede, HS; da Silva, MM;
Publicação
Engineering Management in Production and Services
Abstract
Robotic process automation (RPA) is a recent technology that has recently become increasingly adopted by companies as a solution for employees to focus on higher complexity and more valuable tasks while delegating routine, monotonous and rule-based tasks to their digital colleagues. The increased interest, reflected in the increasing number of articles regarding approaches and test cases, has triggered the necessity for a summary that could extract the more generalisable ideas and concepts about these software robots. This paper used a Systematic Literature Review (SLR) approach to find and synthesise information from articles obtained on this subject. This research identified the most general implementation approaches of successful RPA adoption cases, observed benefits, challenges commonly faced by organisations, characteristics that make processes more suitable for RPA, and research gaps in the current literature. The findings presented in this paper have two purposes. The first is to provide a way for companies and organisations to become more familiar with good practices regarding the adoption of robotic process automation. The second is to foster further research on the subject by complementing the current knowledge and proposing new paths for research. © 2022 D. A. da Silva Costa et al.
2022
Autores
Brandao, PR; S Mamede, H;
Publicação
Journal of Mathematical & Computer Applications
Abstract
2022
Autores
Brandao, P; São Mamede, H; Correia, M;
Publicação
SSRN Electronic Journal
Abstract
2022
Autores
Silva, RP; Saraiva, C; Mamede, HS;
Publicação
Procedia Computer Science
Abstract
Finding the right strategy enabled by a solid digital transformation is a key challenge that Small and Medium Enterprises (SMEs) face. With a high number of transformations that fail, there is a significant investment in research to identify critical factors that ultimately drive a more successful journey, and at the same time, quite a few different models to assess the digital transformation maturity. There is, however, a gap in assessing how ready a SME is to successfully embrace the transformation and an even more significant gap in assessing it from an employee's perspective. This work proposes a model to assess that readiness. The organizational readiness assessment aims to enable SMEs to better understand the foundations that need to be set to successfully deliver the transformation. From the employee's perspective, a user-friendly model assesses the non-technological aspects of an organization, indicating the clear gaps that ultimately might negatively impact the organization's future when digitally transforming. © 2022 Elsevier B.V.. All rights reserved.
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