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Percorrer AM - DC - DCEE - EEM - Engenharia Eletrónica Militar por assunto "Artificial intelligence"
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- Digitalization: A Literature Review and Research AgendaPublication . Reis, João Carlos Gonçalves dos; Amorim, Marlene Paula Castro; Melão, Nuno Filipe Rosa; Cohen, Yuval; Rodrigues, MárioGiven the noticeable and quick progress of digitalization it is well accepted that digital practices are changing business landscapes. However, while this concept is being labelled in the literature it is also often used indistinctively. To avoid misconceptions, we propose to clarify the concept by providing an overview of the existing theory. This research is one of the first attempts to define the “digitalization” term, and to make a distinction between similar ones. The authors have conducted a systematic review of the existing literature, by identifying and synthesizing the existing body of knowledge. While going digital, firms are expecting to enhance their competitive advantage by offering services throughout virtual channels and operationalize its operations management. Furthermore, the literature suggested the development of new digital technologies along with automation and artificial intelligence is enabling a new wave of smart companies, a topic that deserves to be studied in the future.
- Service robots in the hospitality industry: The case of Henn-na hotel, JapanPublication . Reis, João Carlos Gonçalves dos; Melão, Nuno; Salvadorinho, Juliana; Soares, Bárbara; Rosete, AnaServices are changing at an impressive pace boosted by the technological advances felt in Robotics, Big Data, and Artificial Intelligence (AI) that have uncovered new research opportunities. Our objective is to contribute to the literature by exploring the pros and cons of the use of service robots in the hospitality industry and to practice, by presenting the architectural and technological characteristics of a fully automated plant based on a relevant case. To achieve such goal, this article uses a systematic literature review to assess the state-of-the-art, characterize the unit of analysis, and find new avenues for further research. The results indicate that, in high customer contact settings, service robots tend to outperform humans when performing standardized tasks, because of their mechanical and analytical nature. Evidence also shows that, in some cases, service robots have not yet achieved the desired technological maturity to proficiently replace humans. In other words, the technology is not quite there yet, but this does not contradict the fact that new robot technologies, enabled by AI, will be able to replace the employees’ empathetic intelligence. In practical terms, organizations are facing challenges where they have to decide whether service robots are capable of completely replacing human labor or if they should rather invest in balanced options, such as human-robot systems, that seem to be a much more rational choice today.