Joana Lino

Joana Lino

Sunday, 02 May 2021 20:17

Andrea Tonini

andrea-tonini

Identification

Andrea Tonini, Research Collaborator,
PhD in Applied Earth Sciences

Contacts

Telephone: +351 967 759 593
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Biography

Andrea Tonini holds a Post Graduate Diploma in Geo-information and Earth Observation (ITC-University of Twente, The Netherlands), a Master of Science in Information Management (NOVA IMS, Portugal) and a PhD degree in Applied Earth Sciences (University of Siena, Italy).
He has almost 20 years of professional experience in the areas of remote sensing (satellite and UAV/drones) and geo-information management for environmental and public security.
Andrea worked in R&D, as Research Fellow and Post-Doc Researcher, at the University of Siena (https://en.unisi.it/) and international humanitarian and peacekeeping operations for the United Nations, as GIS Assistant at the UN GSC-Global Service Centre (https://www.ungsc.org/). He is currently working as Project Officer for RPAS (Remotely Piloted Aircraft Systems) at the European Maritime Safety Agency (http://www.emsa.europa.eu/).

Publications

Main Publications

  • Tonini, A.; Redweik, P.; Painho, M.; Castelli, M. Remote Estimation of Target Height from Unmanned Aerial Vehicle (UAV) Images. Remote Sens. 2020, 12, 3602. https://doi.org/10.3390/rs12213602

  • Tonini A., Guastaldi E. & Meccheri M. Three–dimensional reconstruction of the Carrara Syncline (Apuan Alps, Italy): an approach to reconstruct and control a geo-model using only field survey data. Computers & Geosciences, Volume 35, Issue 1, Pages 33-48, 2009.

  • Tonini A., Guastaldi E., Massa G. & Conti P. 3D geo-mapping based on surface data for preliminary study of underground works: a case study in ValTopina (Central Italy), Engineering Geology, Volume 99, Issues 1-2, Pages 61-69, 2008.

  • Bonciani F., Callegari I., Cornamusini G., Guastaldi E., Ielpi A. & ToniniA. Stratigrafia e modellazione 3D di un bacino continentale intermontano: il Bacino pliocenico di Santa Barbara (Valdarno Superiore, Toscana), GEOSED, Pages 23-27, 2007.

  • Carmignani L., Conti P., Guastaldi E., Martinelli L., Massa G., Naldini., Regueira E.D., Rossi M., Tonini A. & Vaselli L. Rilevamento Geologico-geomorfologico e 3D modelling per ilo progetto di una galleria ferroviaria. Il Geologo, Volume 52, Pages 14-19, 2003.

Abstracts in Conference Proceedings

  • Tonini A, Mugambi F., Igualada F., Water Assessment in Peacekeeping Operations, ESRI international User Conference, SanDiego (US), 2009.

  • Guastaldi E., Cornamusini G, Ielpi A, Tonini A., Geostatistics for three dimensional modelling of Santa Barbara's lignite deposit. Geoitalia, 6°Forum italiano di Scienze della Terra. Rimini (IT), 2007.

  • Tonini A., Guastaldi E. & Meccheri M. GIS-CAD as methodology for the reconstruction of three-dimensional geological geometry in the Apuan Alps (Italy). GeoItalia 5° Forum Italiano di Scienze della Terra, Perugia (IT), 2005.

  • Tonini A., Doveri M., Regueira E. D. & Carmignani L. Tri-dimensional reconstruction of a polydeformed geological structure: a portion of the Carrara Syncline (Apuan Alps - Italy), 32th International GeologicalCongress. Florence (IT), 2004.

  • Gadenz S., M. Latini, J. Mugnaini, A. Tonini & L. Carmignani, Web-GIS per la distribuzione in rete internet di banche dati geologiche a strutture CARG, Geoitalia 4° Forum Italiano di Scienze della Terra. Bellaria (IT), 2003.

  • Guastaldi E., D. Naldini, G. Masetti, G. Massa, M. Rossi, A. Tonini, L.Vaselli, P. Conti & L. Carmignani. Cartografia geomorfologia di dettaglio nelle zone degli imbocchi delle gallerie ferroviarie: il caso della tratta ferroviaria Foligno Fabriano (Umbria). Geoitalia 4° Forum Italiano di Scienze della Terra, Rimini (IT), 2003.

  • Martinelli L., & A. Tonini. Visualizzazione 3D dei dati CARG.L'Appennino marchigiano nell'area del Monte Catria. V° Workshop Sull'informatizzazione della Carta Geologica d'Italia-Progetto CARG,Siena (IT), 2002.

  • Gadenz S., M. Latini, L. Martinelli, J. Mugnaini, E.D. Regueira & A.Tonini. Distribuzione dei modelli geologici 3D in rete. L'esempio di Bellisio Solfare. V° Workshop sull'informatizzazione della Carta Geologica d'Italia-Progetto CARG, Siena (IT), 2002.

  • Albarello D., V. D'Amico, G. Naso, M. Picozzi, A. Tonini, S.Tropenscovino, e M. Michelone. Fast, low-cost seismic measurements for the estimate of soft sediment thickness, European Seismological Commission (ESC) XXVIII General Assembly, Genoa (IT), 2002.

Thursday, 05 November 2020 15:17

Frank Franque

frank-franque

Identification

Frank Bivar Franque, PhD Student, Information Management
Master Degree in information technology

Contacts

Telephone:: +351 967 759 593
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Biography

University assistant in the computer science department at Engineering School of Catholic University of Mozambique. Consultant in the area of information Technology, specifically in the area of software engineering. Holds first degree in Information Technology, Master degree in Information Technology by Catholic University of Mozambique. His research interests include technology adoption, technology continuance intention, information system performance, information management and IT4D.

Publications

Journal article

  • Franque, F.B., Oliveira, T., Tam, C. and Santini, F.d.O. (2020), "A meta-analysis of the quantitative studies in continuance intention to use an information system", Internet Research, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/INTR-03-2019-0103

Tuesday, 27 October 2020 10:27

Saleh Shuqair

saleh-shuqair

Identification

Saleh Shuqair, PhD Candidate in (Marketing) at NOVA IMS

Contacts

E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Biography

Saleh Shuqair is a PhD Candidate in (Marketing) at NOVA Information Management School (NOVA IMS). His research interests are centred on understanding how communal versus exchange relationship norms shape customer responses in consumption settings. Outside of the relationship domain, He studies topics related to brand ownership, emotional expression, social contagion, and responses to artificial intelligence. His research appears in high quality peer-reviewed journals such as, Annals of Tourism Research and international academic conferences such as the European Marketing Academy (EMAC).

Publications

Journal article

Conferences

  • Shuqair, S., & Pinto, D. (2019, May). Service recovery in collaborative consumption settings. Presented at the 48thEuropean Marketing Academy (EMAC) Conference. Hamburg, Germany.
Monday, 26 October 2020 10:59

Teodóra Szabo-Douat

ibrahem-kandel

Identification

Teodora Szabo-Douat, Ph.D. from Baruch College at The City University of New York

Contacts

E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Biography

Teodóra Szabó-Douat is an assistant professor at NOVA IMS. She received her Ph.D. from Baruch College at The City University of New York. Teodóra has papers published in high-quality international journals, such as the Journal of the Association for Consumer Research, Marketing Theory, and the Journal of Service Theory and Practice. Her main research interests are consumer ownership and sharing - including sharing of possessions, information, and responsibility - , consumer well-being, and cross-cultural research. Teodóra received the prestigious ACR-Sheth Foundation Dissertation Award (Honorable Mention) in 2018, and she was an AMA-Sheth Doctoral Consortium Fellow in 2019.

Publications

Journal article

  • Wongkitrungrueng, A., Nuttavuthisit, K., Szabó-Douat, T., & Sen, S. (2019). Customer Deference to Service Providers in Ordinary Service Encounters. Journal of Service Theory and Practice, 29(2), 189-212. https://doi.org/10.1108/JSTP-02-2018-0031
  • Valenzuela, A., Bonezzi, A., & Szabó-Douat, T. (2018). What Goes Around, Comes Around: How Beliefs in Karma Influence the use of Word-of-Mouth for Self-Enhancement. Journal of the Association for Consumer Research, 3(4), 490-502. https://doi.org/10.1086/699567
  • Stone, T., Gould, S. J.., & Szabó-Douat, T. (2017). “Am I as extended as you say I am?” Consumers’ emic perspectives on the extended self. Marketing Theory, 17(4), 559-577. https://doi.org/10.1177/1470593117708466
Monday, 26 October 2020 10:14

Nuno António

ibrahem-kandel

Identification

Nuno Miguel da Conceição António, PhD degree in Computer Science by ISCTE-IUL

Contacts

E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Biography

Nuno António holds a PhD degree in Computer Science by ISCTE-IUL, a Masters in Hotel Administration and Management by the School of Management, Hospitality and Tourism of the University of the Algarve, and a degree in Software Engineering by ISMAT. His research interests are related to the application of Data Science, Machine Learning, Text Mining, Data Mining, and Big Data in hospitality and tourism, retail, health, and other domains. His work has been published in major scientific journals and conferences, including International Journal of Contemporary Hospitality Management, Cornell Hospitality Quarterly, Journal of Travel Research, Information Technology & Tourism, Data Science Journal, IEEE ICMLA, among others. He is actually Chief Technology Officer at Itbase/WareGuest, a company specialized in the development of software and decision support systems for the hospitality and retail industries. Additionally, he is an invited Assistant Professor at Nova IMS. Nuno is certified in Business Intelligence, specialization of Business Analytics by TDWI – The Data-Warehousing Institute. He is certified as ScrumMaster and member of the Scrum Alliance and, he is also certified as Project Management Associate by IPMA - International Project Management Association.

Publications

Journal article

  • António, N., Almeida, A. de, & Nunes, L. (2019). Predictive models for hotel booking cancellation: a semi-automated analysis of the literature. Tourism & Management Studies, 15(1), 7-21. https://dx.doi.org/10.18089/tms.2019.15011
  • Antonio, N., de Almeida, A., & Nunes, L. (2019). An Automated Machine Learning Based Decision Support System to Predict Hotel Booking Cancellations. Data Science Journal, 18(1), 32. DOI: http://doi.org/10.5334/dsj-2019-032
  • Antonio, N., de Almeida, A., & Nunes, L. (2019). Big Data in Hotel Revenue Management: Exploring Cancellation Drivers to Gain Insights Into Booking Cancellation Behavior. Cornell Hospitality Quarterly, 60(4), 298–319. https://doi.org/10.1177/1938965519851466
  • Antonio, N.; Almeida,A. M. de & Nunes, L. (2018). Hotel booking demand datasets. Data in Brief, 22(february), 41-49. DOI:10.1016/j.dib.2018.11.126
  • Phillips, P., Antonio, N., de Almeida, A., & Nunes, L. (2019). The Influence of Geographic and Psychic Distance on Online Hotel Ratings. Journal of Travel Research. https://doi.org/10.1177/0047287519858400
  • Antonio, N.& Serra, F. (2018). Software as a Service: an effective platform to deliver holistic Hotel Performance Management SystemsSoftware como um Serviço: uma plataforma eficaz para oferta de sistemas holísticos de gestão da performance hoteleira. Tourism & Management Studies, 14(Especial), 25-35. https://dx.doi.org/10.18089/tms.2018.14SI103
  • Antonio, N., de Almeida, A., Nunes, L. et al. (2018). Hotel online reviews: different languages, different opinions. Information Technology & Tourism 18, pp. 157–185. https://doi.org/10.1007/s40558-018-0107-x
  • Antonio, N., de Almeida, A., Nunes, L., Batista, F. and Ribeiro, R. (2018). Hotel online reviews: creating a multi-source aggregated index. International Journal of Contemporary Hospitality Management, 30(12), 3574-3591. https://doi.org/10.1108/IJCHM-05-2017-0302
  • Antonio, N.; Almeida, A. de & Nunes, L. (2017). Predicting Hotel Booking Cancellation to Decrease Uncertainty and Increase Revenue, 3(2):25-39.DOI:10.18089/tms.2017.13203
  • António, N. & Serra, F. (2015). The use of design science research in the development of a performance management system for hospitality. Dos Algarves: A Multidisciplinary e-Journal, 26(2): 23-46. DOI: 10.18089/DAMeJ.2015.26.2.2.

Book Section

  • Antonio,N.; Almeida, A. M. de & Nunes, L. M. M. (2017). Using Data Science to Predict Hotel Booking Cancellations. In P. Vasant & Kalaivanthan M. (Eds.), Handbook of Research on Holistic Optimization Techniques in the Hospitality, Tourism, and Travel Industry,pp. 140-166. IGI-Global.ISBN: 9781522510543. DOI:10.4018/978-1-5225-1054-3.ch006
  • Antonio,N.; Serra,F.; Afonso, C. M. & Ribeiro, C. (2013). Aplicação de um modelo de gestão de receitas: estudo de caso numa unidade hoteleira no Algarve. In C. Henriques, I. Monteiro, F. Serra, J. Santos & P. Águas (Eds.), Inovação e qualidade na hotelaria, pp. 173-191. (TMs Conferences Studies, 2013). Universidade do Algarve. ISBN: 978-989-8472-37-3

Conference Proceeding

  • Borralho, C. M., António, N., Serra, M. & Afonso, C. M. (2019). Produtores de vinho do Algarve no Facebook: oportunidades e desafios. In Pedro de Alcântara Bittencourt César Cláudia Henriques (Ed.), Anais da Conferência Internacional Turismo e História. (pp. 134-135). Faro: U. Algarve, UCS.
  • Ribeiro, F. P., Correia, M. B. & António, N. (2019). Uma abordagem metodológica para a análise comparativa de comentários de viagens online de duas cidades património UNESCO. In Pedro de Alcântara Bittencourt César Cláudia Henriques (Ed.), Anais da III Conferência Internacional Turismo e História. (pp. 55-56). Faro: U. Algarve, UCS.
  • Ribeiro, F. P., Correia, M. B. & António, N. (2019). Uma abordagem metodológica para a análise comparativa de comentários de viagens online de duas cidades património UNESCO. In Pedro de Alcântara Bittencourt César Cláudia Henriques (Ed.), Anais da III Conferência Internacional Turismo e História. (pp. 55-56). Faro: U. Algarve, UCS.
  • António, N., de Almeida, A. & Nunes, L. (2018). Predictive models for hotel booking cancellation: a semiautomated analysis of the literature. In José António C. Santos, Margarida C. Santos, Marisol B. Correia, Célia Ramos (Ed.), Tourism and Management Studies International Conference, TMS Algarve 2018. Olhão: Escola Superior de gestão, Hotelaria e Turismo, Universidade do Algarve.
  • Antonio, N.; Almeida, A. de & Nunes, L. (2017). Predicting Hotel Bookings Cancellation with a Machine Learning Classification Model. 16th IEEE International Conference on Machine Learning and Applications (ICMLA), Cancun, 2017, pp. 1049-1054. doi: 10.1109/ICMLA.2017.00-11
Monday, 27 July 2020 14:44

Ibrahem Kandel

ibrahem-kandel

Identification

Ibrahem Kandel, Ph.D. Student of Information Management
with a specialization in Data Science

Contacts

E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Biography

Ibrahem Kandel is a Ph.D. Student of Information Management with a specialization in data science. He has a master's degree from Nova IMS in statistics and information management and a bachelor degree in biomedical engineering from Cairo, Egypt. He possesses vast experience in data science consulting in the financial industry and the medical field. His current research interests include artificial intelligence (in particular, convolutional neural networks) and the application of deep learning techniques to solve complex real-life problems, especially in the fields of computer vision.

Publications

Book Section

  • Transfer Learning with Convolutional Neural Networks for Diabetic Retinopathy Image Classification. A Review Kandel, I.; Castelli, M. Transfer Learning with Convolutional Neural Networks for Diabetic Retinopathy Image Classification. A Review. Appl. Sci. 2020, 10, 2021. https://doi.org/10.3390/app10062021
  • How Deeply to Fine-Tune a Convolutional Neural Network: A Case Study Using a Histopathology Dataset Kandel, I.; Castelli, M. How Deeply to Fine-Tune a Convolutional Neural Network: A Case Study Using a Histopathology Dataset. Appl. Sci. 2020, 10, 3359.https://doi.org/10.3390/app10103359
  • A Novel Architecture to Classify Histopathology Images Using Convolutional Neural Networks Kandel, I.; Castelli, M. A Novel Architecture to Classify Histopathology Images Using Convolutional Neural Networks. Appl. Sci. 2020, 10, 2929. https://doi.org/10.3390/app10082929
  • The effect of batch size on the generalizability of the convolutional neural networks on a histopathology dataset I. Kandel and M. Castelli, “The effect of batch size on the generalizability of the convolutional neural networks on a histopathology dataset,” ICT Express, 2020. https://doi.org/10.1016/j.icte.2020.04.010
Monday, 20 January 2020 12:13

Luís Madureira

luis-madureira

Identification

Luís Alexandre Abrantes Madureira, Invited Lecturer
Licenciado em Economia (NOVA SBE)

Contacts

E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Biography

Luis Madureira is a PhD Student of Information Management - Information and Decision Systems - and a visiting professor at NOVA IMS. He is a lecturer in several courses at the undergraduate and masters degree level internationally on Competitive Intelligence (CI), Strategy, Marketing and Innovation. Graduated from NOVA SBE in Economics and is CIP-I & II / Master of Competitive Intelligence by the Academy of Competitive Intelligence. Awarded the CI Fellowship, the highest recognition in CI by the Council of CI Fellows, he chairs the SCIP Portugal Chapter. As Managing Partner of ÜBERBRANDS, a strategic consultancy boutique, he supports organisations successfully navigate their competitive environment. Previously the Global Competitive Intelligence Practice Lead for Ogilvy Consulting, he possesses a vast experience in Consulting and FMCG - Diageo, Coca-Cola, PepsiCo, Red Bull, United Coffee, and Heineken.

Publications

Book Section

  • Gonçalves, A., & Madureira, L. (2017). Luis Madureira: SMINT Author & Design Thinker on Competitive Intelligence, Strategy, Innovation & Growth. In Apress. Social Media Analytics Strategy—Using Data to Optimize Business Performance (1st ed., pp. 47–52). Retrieved from www.springer.com/br/book/9781484231012
  • Zeferino, A., & Madureira, L. (2016). Digital Marketing Analytics: Optimize The Value Of Your Digital Strategy - SMINT Case Study. In Digital Marketing Analytics (1st ed., pp. 87–88). Retrieved from http://www.webanalytics.pt/
  • Madureira, L. (2014). Market and Competitor Analysis—Real Exercise. In William J. Lahneman & Rubén Arcos (Eds.), The Art of Intelligence: Simulations, Exercises, and Games (1st ed., pp. 125–142). Retrieved from https://rowman.com/ISBN/9781442228979/The-Art-of-Intelligence-Simulations-Exercises-and-Games
  • Hedin, H., Hirvensalo, I., Vaarnas, M., & Madureira, L. (2011). Case: MI Tools Selection as Sociedade Central Cervejas (SCC)—Group Heineken. In The Handbook of Market Intelligence: Understand, Compete and Grow in Global Markets (1st ed., pp. 90–91). Retrieved from https://doi.org/10.1002/9781119208082.ch7
  • Moutinho, L., Dionísio, P., Rodrigues, J. V., Pereira, H. G., & Madureira, L. (2012). Sense & Respond Models | Human Sensing—Example 2: Market Intelligence Strategy. In Marketing FutureCast Lab, ISCTE-IUL - Marketing Trends—Antecipate The Future To Inspire The Present (1st ed., pp. 81–81). Retrieved from www.deplano.pt

Conference Proceeding

  • Madureira, L., Castelli, M., & Popovic, A. (2019). Design thinking: the new mindset for competitive intelligence? Impacts on the competitive intelligence model. In Proceedings of the 19th Portuguese Association of Information Systems Conference: Digital Disruption: Living between Data Science, IoT and ... People, 34. Portugal: Associação Portuguesa de Sistemas de Informação. (http://capsi2019.apsi.pt/index.php/en/ ).
  • Sandler Passos, D., & Madureira, L. (2015, November 24). Need To Share—A nova tendência, seus mecanismos e riscos. 1, 1–8. Retrieved from http://www.convibra.com.br/upload/paper/2015/29/2015_29_11213.pdf

Other Publications (Trade Publications)

  • Madureira, L. (2019). Design Thinking: The New Mindset for CI? Competitive Intelligence Magazine, 23(1), 6–15. SCIP.org.
  • Madureira, L. (2017). SMINT - Why CI Needs A New Approach. Competitive Intelligence Magazine, 20(1), 12–16. SCIP.org.
  • Madureira, L. (2013). Social Market Intelligence: An Introduction to “Future Ready CI”. Scip.Insight, 5(1), 1.
  • Madureira, L. (2012). #SCIPEU12: Future Ready – Have You Tried Social Market Intelligence (SMINT)? Scip.Insight, 4(2), 1.

 

 

Thursday, 26 December 2019 11:58

Bruno Damásio

bruno-damasio

Identification

Bruno Miguel Pinto Damásio, Professor Auxiliar Convidado
Doutoramento em Matemática Aplicada Universidade de Lisboa

Contacts

E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Biography

Bruno Damásio holds a PhD Applied Mathematics, a Master in Econometrics and a Degree in Economics by the University of Lisbon. His research interests are nonlinear econometrics, multivariate Markov chains, stochastic processes, financial econometrics, nonlinear time-series, applied economics, and the statistical packages R and Stata. His work has been published in several journals, such as Physica A: Statistical Mechanics and its Applications, Statistics and Probability Letters, Applied Economics Letters, Empirica. Additionally, he is a lecturer of statistics and econometrics courses at NOVA IMS (Information Management School, Nova University of Lisbon) and ISEG (Lisbon School of Economics and Management, University of Lisbon). He is serving as statistical consultant and trainer for numerous private and public organisations including OECD, European Comission, European Court of Auditors, Ministries, Central Banks, Bureau of Statistics, Bureau of Economic Analysis, among others.

Publications

Journal Article

  • Damásio, B., & Mendonça, S. (2019). Modelling insurgent-incumbent dynamics: Vector autoregressions, multivariate Markov chains, and the nature of technological competition. Applied Economics Letters, 26(10), 843-849. [Advanced online publication 30 july 2018]. https://doi.org/10.1080/13504851.2018.1502863. DOI: 10.1080/13504851.2018.1502863
  • Martins, D., & Damásio, B. (2019). One Troika fits all?: job crash, pro-market structural reform and austerity-driven therapy in Portugal. Empirica. [Advanced online publication on 11 february 2019]. Doi: https://doi.org/10.1007/s10663-019-09433-w
  • Damásio, B.; Louçã, F. & Nicolau, J. (2018). The changing economic regimes and expected time to recover of the peripheral countries under the euro: A nonparametric approach. Physica A: Statistical Mechanics and its Applications, 507, 524-533. doi: https://doi.org/10.1016/j.physa.2018.05.089
  • Barros, C., Damásio, B. and Faria, J. (2014). Reverse FDI in Europe: An Analysis of Angola's FDI in Portugal. African Development Review, 26 (1), 160-171. https://doi.org/10.1111/1467-8268.12072
  • Damásio, B. and Nicolau, J. (2014). Combining a Regression Model with a Multivariate Markov Chain in a Forecasting Problem.Statistics & Probability Letters, 90 (july), 108-113. https://doi.org/10.1016/j.spl.2014.03.026

 

 

Wednesday, 18 December 2019 10:49

Mijail Naranjo

Mijail-Naranjo

Identification

Mijail Naranjo, Invited Lecturer,
PhD degree (2018) in Information Management from a consortium of three Universities: Universidade Nova de Lisboa (UNL), University of Münster (WWU), and Universitat Jaume I (UJI)

Contacts

E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Biography

Mijail Naranjo-Zolotov is an Invited Lecturer at NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, Portugal. He holds a PhD degree (2018) in Information Management from a consortium of three Universities: Universidade Nova de Lisboa (UNL), University of Münster (WWU), and Universitat Jaume I (UJI). He holds a Master degree in Geospatial Technologies obtained in 2014 from the NOVA IMS. His research interests include e-participation, e-government, technology adoption and diffusion, and Geographic Information Systems. He has published articles in several academic journals and conferences, including the Computers in Human Behavior, Information Technology & People, Future Generation Computer Systems, and Government Information Quarterly, among others.

Publications

Journal Article

  • Acedo, A., Oliveira, T., Naranjo-Zolotov, M., & Painho, M. (2019). Place and city: toward a geography of engagement. Heliyon, 5(8). https://doi.org/10.1016/j.heliyon.2019.e02261
  • Martins, J., Branco, F., Gonçalves, R., Au-Yong-Oliveira, M., Oliveira, T., Naranjo-Zolotov, M., & Cruz-Jesus, F. (2018). Assessing the success behind the use of education management information systems in higher education. Telematics and Informatics. https://doi.org/10.1016/j.tele.2018.10.001
  • Naranjo-Zolotov, M., Oliveira, T., Cruz-Jesus, F., Martins, J., Gonçalves, R., Branco, F., & Xavier, N. (2019). Examining social capital and individual motivators to explain the adoption of online citizen participation. Future Generation Computer Systems, 92. https://doi.org/10.1016/j.future.2018.09.044
  • Naranjo-Zolotov, Mijail, Oliveira, T., & Casteleyn, S. (2018). Citizens’ intention to use and recommend e-participation: Drawing upon UTAUT and citizen empowerment. Information Technology & People. https://doi.org/10.1108/ITP-08-2017-0257
  • Naranjo-Zolotov, Mijail, Oliveira, T., Casteleyn, S., & Irani, Z. (2019). Continuous usage of e-participation: The role of the sense of virtual community. Government Information Quarterly, 36(3), 536–545. https://doi.org/10.1016/J.GIQ.2019.05.009
  • Naranjo Zolotov, M., Oliveira, T., & Casteleyn, S. (2018). E-participation adoption models research in the last 17 years: A weight and meta-analytical review. Computers in Human Behavior, 81, 350–365. https://doi.org/10.1016/j.chb.2017.12.031

Conferences

  • Zolotov, M. N., Oliveira, T., & Casteleyn, S. (2018). Continued intention to use online participatory budgeting: The effect of empowerment and habit. Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance - ICEGOV ’18, 209–216. https://doi.org/10.1145/3209415.3209461
  • Cruz-Jesus, F., Oliveira, T., & Naranjo, M. (2018). Understanding the Adoption of Business Analytics and Intelligence. In World Conference on Information Systems and Technologies (pp. 1094–1103). Springer, Cham. https://doi.org/10.1007/978-3-319-77703-0_106
  • Zolotov, M. N., Oliveira, T., Cruz-Jesus, F., & Martins, J. (2018). Satisfaction with e-participation: A model from the citizen’s perspective, expectations, and affective ties to the place. In Á. Rocha, H. Adeli, L. P. Reis, & S. Costanzo (Eds.), Trends and Advances in Information Systems and Technologies. WorldCIST’18 2018. (pp. 1049–1059). Cham: Springer International Publishing.
  • Nunes, S., Martins, J., Branco, F., & Zolotov, M. (2018). An online focus group approach to e-Government acceptance and use. Advances in Intelligent Systems and Computing (Vol. 745). https://doi.org/10.1007/978-3-319-77703-0_44

 

 

Wednesday, 18 December 2019 10:45

Mijail Naranjo

This email address is being protected from spambots. You need JavaScript enabled to view it.
Integrated Researcher
(Resident)

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