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About

About

José Martins is currently an Invited Assistant Professor at the University of Trás-os-Montes e Alto Douro (Department of Engineering), Invited Assistant at the Polytechnic Institute of Bragança and Senior Researcher (Integrated Member) of INESC TEC research center. He has published over 90 articles in indexed journals and event proceedings focusing the Information Systems, Management Information Systems, Software Engineering and Human-Computer Interaction topics.

Currently he is supervisor for several Master Degree dissertations and PhD thesis. During his short research career, he has participated in several research projects and is currently a member of various research projects aimed at merging information systems and technologies with other fields of study. During his professional career José has also worked as an information systems and technologies senior consultant where he directly participated in several international projects. At the present time José Martins dedicates most of his time to his lectures and to his research activities where he tries to understand the variables and (in)direct impacts of ICT adoption at individual and firm levels, and how IS solutions can be idealized, specified and developed in order to fully address their audience needs and requirements.

Interest
Topics
Details

Details

  • Name

    José Luís Martins
  • Role

    External Research Collaborator
  • Since

    01st May 2015
006
Publications

2023

Digital Marketing's Impact on Rural Destinations' Image, Intention to Visit, and Destination Sustainability

Authors
Rodrigues, S; Correia, R; Goncalves, R; Branco, F; Martins, J;

Publication
SUSTAINABILITY

Abstract
The relevance of the tourism industry to the overall sustainability of rural territories grows along with the demand for rural tourism destinations. Likewise, as the digital transition of rural tour operators takes place, their marketing initiatives also evolve towards a digital nature, which is why it is crucial to comprehend how the overall calibre of these activities might affect the perception of rural places, while also motivating tourists' travel intentions and, as a result, promoting the general sustainability of the destination. Thus, in this paper, we propose a novel conceptual model based on Delone and McLean's representative model of Information Systems Success Model, on Tan and Wu's arguments on tourism destinations' image relationship with tourists' visit intentions, and also on Verma's tourism destination brand equity concept. To validate the proposed model, an online focus group was developed involving several specialists whose opinions and perspectives corroborated the potential adequacy of the proposed artefact and, consequently, assumed its contribution and value. From this validation process, it was possible to highlight that digital marketing initiatives' overall quality influences both rural destinations' image and tourists' intention to visit these territories, that a positive image will trigger tourists' visit behaviour, and that these behaviours represent a valuable asset to rural destinations' global sustainability.

2023

A Prototype for an Intelligent Water Management System for Household Use

Authors
Mamede, H; Neves, JC; Martins, J; Goncalves, R; Branco, F;

Publication
SENSORS

Abstract
Water scarcity is becoming an issue of more significant concern with a major impact on global sustainability. For it, new measures and approaches are urgently needed. Digital technologies and tools can play an essential role in improving the effectiveness and efficiency of current water management approaches. Therefore, a solution is proposed and validated, given the limited presence of models or technological architectures in the literature to support intelligent water management systems for domestic use. It is based on a layered architecture, fully designed to meet the needs of households and to do so through the adoption of technologies such as the Internet of Things and cloud computing. By developing a prototype and using it as a use case for testing purposes, we have concluded the positive impact of using such a solution. Considering this is a first contribution to overcome the problem, some issues will be addressed in a future work, namely, data and device security and energy and traffic optimisation issues, among several others.

2023

BHiveSense: An integrated information system architecture for sustainable remote monitoring and management of apiaries based on IoT and microservices

Authors
Cota, D; Martins, J; Mamede, H; Branco, F;

Publication
Journal of Open Innovation: Technology, Market, and Complexity

Abstract

2023

The impact of digital influencers on product/service purchase decision making-An exploratory case study of Portuguese people

Authors
Caiado, F; Fonseca, J; Silva, J; Neves, S; Moreira, A; Goncalves, R; Martins, J; Branco, F; Au-Yong-Oliveira, M;

Publication
EXPERT SYSTEMS

Abstract
The growing use of technology and social media has resulted in the emergence of digital influencers, a new profession capable of changing the mentalities and behaviours of those who follow them. This study arises to better understand the potential impact digital influencers might have on the Portuguese population's purchase behaviour and patterns, and for this purpose, seven hypotheses were formulated. An online questionnaire was conducted to respond to these theoretical assumptions and collected data from 175 respondents. A total of 129 valid answers were considered. It was possible to conclude that purchase intention does not necessarily translate into a purchase action. It was also concluded that the relationship between social network use and the purchase of products/services recommended by influencers is only statistically significant for Instagram. Furthermore, the individuals' generation is not statistically significant / linked with purchasing a product/service recommended by influencers. Yet further, a small percentage of respondents have also identified themselves as impulsive shoppers and perceived Instagram as their favourite social network. With the results of this study, it is also possible to state that the influencer's opinion was classified as the last factor considered in the purchase decision process. Additionally, there is a weak negative association between purchasing a product/service recommended by influencers with sponsorship disclosure and remunerated partnership, which decreases credibility and discourages purchasing, in Portugal, a feminine culture which dislikes materialism.

2023

A Novel Approach to Assess Balneotherapy Effects on Musculoskeletal Diseases-An Open Interventional Trial Combining Physiological Indicators, Biomarkers, and Patients' Health Perception

Authors
Silva, J; Martins, J; Nicomedio, C; Goncalves, C; Palito, C; Goncalves, R; Fernandes, PO; Nunes, A; Alves, MJ;

Publication
GERIATRICS

Abstract
The present study aimed to evaluate whether a 14-day period of balneotherapy influences the inflammatory status, health-related quality of life (QoL) and quality of sleep, underlying overall health state, and clinically relevant benefits of patients with musculoskeletal diseases (MD). The health-related QoL was evaluated using the following instruments: 5Q-5D-5L, EQ-VAS, EUROHIS-QOL, B-IPQ, and HAQ-DI. The quality of sleep was evaluated by a BaSIQS instrument. Circulating levels of IL-6 and C-reactive protein (CRP) were measured by ELISA and chemiluminescent microparticle immunoassay, respectively. The smartband, Xiaomi MI Band 4, was used for real-time sensing of physical activity and sleep quality. MD patients improved the health-related QoL measured by 5Q-5D-5L (p < 0.001), EQ-VAS (p < 0.001), EUROHIS-QOL (p = 0.017), B-IPQ (p < 0.001), and HAQ-DI (p = 0.019) after balneotherapy; the sleep quality was also improved (BaSIQS, p = 0.019). Serum concentrations of IL-6 were markedly decreased after the 14-day balneotherapy (p < 0.001). No statistically significant differences were observed regarding the physical activity and sleep quality data recorded by the smartband. Balneotherapy may be an effective alternative treatment in managing the health status of MD patients, with a decrease in inflammatory states, along with positive effects on pain reduction, patient's functionality, QoL, quality of sleep, and disability perception status.

Supervised
thesis

2022

Low-latency Machine learning for network traffic analysis

Author
André Levi Ribeiro Tse

Institution
UP-FCUP

2022

Forecasting for Solar Power Farms

Author
Tiago Mourão Pires

Institution
UP-FEP

2022

Extensão web para deteção de conteúdo multimédia manipulado

Author
Diana Esteves Carvalho D'Egas

Institution
UP-FCUP

2022

Detection and classification of objects in the ocean

Author
João Paulo Teixeira de Carvalho

Institution
UP-FCUP

2022

Recommendation System for the News Market

Author
Miguel Ângelo Pontes Rebelo

Institution
UP-FCUP