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DOCENTES
 

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Carlos Tam
Identificação
Carlos Tam, Docente Convidado
Doutoramento em Gestão de Informação
NOVA IMS
Contactos
carlosvai@novaims.unl.pt
Biografia

Carlos Tam é Professor Convidado na NOVA Information Management School (NOVA IMS) e Coordenador de IT com mais de 25 de anos de experiência bancária, 15 anos dos quais na área de internet e mobile. Possuí o grau de doutoramento pela NOVA IMS, Universidade Nova de Lisboa, em Gestão de Informação. Destacam-se como principais áreas de interesses em inteligência de negócio (BI), gestão do conhecimento, informação de gestão, gestão da performance e adoção de tecnologias.

Unidades Curriculares que leciona na NOVA IMS
- Metodologias de Investigação
Publicações
Publicação em Periódicos Científicos
Oliveira, T., Araujo, B., & Tam, C. (2020). Dataset for understanding why people share their travel experiences on social media: Structural equation model analysis. Data in brief, 30, [105447]. https://doi.org/10.1016/j.dib.2020.105447
Oliveira, T.; Araujo, B. & Tam, C. (2020). Why do people share their travel experiences on social media? Tourism Management, V. 78, June, 104041. https://doi.org/10.1016/j.tourman.2019.104041
Tam, C., Loureiro, A., & Oliveira, T. (2020). The individual performance outcome behind e-commerce: Integrating information systems success and overall trust. Internet Research, 30(2), 439-462. [Advanced online publication on 22 october 2019]. https://doi.org/10.1108/INTR-06-2018-0262
Tam, C., Moura, E. J. D. C., Oliveira, T., & Varajão, J. (2020). The factors influencing the success of on-going agile software development projects. International Journal of Project Management, 38(3), 165-176. https://doi.org/10.1016/j.ijproman.2020.02.001
Tam, C., Santos, D., & Oliveira, T. (2020). Exploring the influential factors of continuance intention to use mobile Apps: extending the expectation confirmation model. Information Systems Frontiers, 22(1), 243–257. [Advanced online publication on 31 may 2018] Doi: https://doi.org/10.1007/s10796-018-9864-5
Tam, C., & Oliveira, T. (2019). Does culture influence m-banking use and individual performance? Information and Management, 56(3), 356-363.[Advanced online publication on 29 july 2018]. https://doi.org/10.1016/j.im.2018.07.009.
Nascimento, B.; Oliveira, T.; Tam, C. (2018). Wearable technology: What explains continuance intention in smartwatches? Journal of Retailing and Consumer Services, 43 (July), 157–169. https://doi.org/10.1016/j.jretconser.2018.03.017
Carlos Tam & Tiago Oliveira (2017). Literature review of mobile banking and individual performance. International Journal of Bank Marketing, 35 (7), 1042-1065, https://doi.org/10.1108/IJBM-09-2015-0143
Carlos Tam & Tiago Oliveira (2017). Understanding mobile banking individual performance: The DeLone & McLean model and the moderating effects of individual culture. Internet Research, 27 (3), 538-562. doi: https://doi.org/10.1108/IntR-05-2016-0117
Tam, C., & Oliveira, T. (2016). Performance impact of mobile banking: using the task-technology fit (TTF) approach. International Journal of Bank Marketing, 34(4), 434-457. doi: 10.1108/ijbm-11-2014-0169
Tam, C., & Oliveira, T. (2016). Understanding the impact of m-banking on individual performance: DeLone & McLean and TTF perspective. Computers in Human Behavior, 61, 233-244. doi: http://dx.doi.org/10.1016/j.chb.2016.03.016

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