Professors

Maria OLMEDILLA FERNANDEZ

Associate Professor

eWOM communities, Text mining, Machine learning techniques, Online user behaviour, NLP, Intelligence artificielle

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Maria OLMEDILLA FERNANDEZ

Academy

Digitalization

Research center

SKEMA Centre for Artificial Intelligence

Location

Paris

Discipline

Marketing
Education
2017
Ph.D. in Strategic Management and International Business, University of Seville, Spain
2014
MSc in Technology and Innovation Management, Brandenburg University of Technology Cottbus-Senftenberg (BTU), Germany
Experience
Full-time academic positions
Since 2019
Associate Professor, SKEMA Business School, France
2017 - 2019
Assistant Professor, École de management Léonard de Vinci, France
Other academic affiliations and appointments
Since 2023
Academic Director, SKEMA Business School, France
2014 - 2017
PhD Researcher, University of Seville, Spain
Other professional experiences
2012 - 2015
Freelancer consultant, GRUPO AMETS GESTIÓN I+D+i, Spain
Research grants, Awards and Honors
Awards and Honors
2024
Outstanding Paper Award - BigDaCi2024, Hungary
2024
Jury’s Special Award for Pedagogical Innovation 2024, SKEMA Business School, France
2022
Jury’s Special Award for Pedagogical Innovation 2022, SKEMA Business School, France
2020
Excelent Oral Presentation, 4th International Conference on Information System and Data Mining, United States of America
2019
Extraordinary Doctorate Award, University of Seville
Research Grants
2022
Horizon 2020 - HPC-Europa3 Transnational Access Programme, CSC Finland , Finland
Other research activities
Reviewer for:
Decision Support Systems, Finance Research Letters, IEEE Access, Expert Systems with Applications, Technological Forecasting and Social Change, Sustainability
Other academic activities
2023 - 2024
Association Française du Marketing, France
2023
Scientific Committee - CARMA2023
Since 2022
Steering Committee CARMA, Polytechnic University of Valencia, Spain
2022
Scientific Committee-CARMA2022
2022
Technical Committee-ICISDM2022, United States of America
2020
Scientific Committee-CARMA2020
2020 - 2024
Publicity Co-Chair - ICISDM2024, ICISDM2022, ICISDM2020
2019
Scientific Committee-ICISDM2019, United States of America

Peer-reviewed journal articles

OLMEDILLA FERNANDEZ, M., ROCÍO MARTÍNEZ-TORRES, M. and TORAL, S. (2022). Prediction and modelling online reviews helpfulness using 1D Convolutional Neural Networks. Expert Systems with Applications, 198, pp. 116787.
OLMEDILLA FERNANDEZ, M., SEND, H. and TORAL, S.L. (2019). Identification of the unique attributes and topics within Smart Things Open Innovation Communities. Technological Forecasting and Social Change, 146, pp. 133-147.
OLMEDILLA FERNANDEZ, M., MARTINEZ-TORRES, R. and TORAL, S. (2019). The super-hit effect and the long tail phenomenon in the context of electronic Word-of-Mouth. Decision Support Systems, 125, pp. 113120.
TESO, E., OLMEDILLA FERNANDEZ, M., MARTINEZ-TORRES, M.R. and TORAL, S.L. (2018). Application of text mining techniques to the analysis of discourse in eWOM communications from a gender perspective. Technological Forecasting and Social Change, 129, pp. 131-142.
ARENAS-MARQUEZ, F.J., MARTINEZ-TORRES, M.R., OLMEDILLA FERNANDEZ, M. and TORAL, S.L. (2018). Identifying the Features of Reputable Users in eWOM Communities by Using Particle Swarm Optimization. Technological Forecasting and Social Change, 133, pp. 220-228.
OLMEDILLA FERNANDEZ, M., MARTINEZ-TORRES, M.R. and TORAL, S.L. (2016). Harvesting Big Data in social science: A methodological approach for collecting online user-generated content. Computer Standards & Interfaces, pp. 79-87.
OLMEDILLA FERNANDEZ, M., MARTINEZ-TORRES, M.R. and TORAL, S.L. (2016). Examining the power-law distribution among eWOM communities: A characterization approach of the long tail. Technology Analysis and Strategic Management, 28(5), pp. 601-613.
MARTINEZ-TORRES, R. and OLMEDILLA FERNANDEZ, M. (2016). Identification of innovation solvers in open innovation communities using swarm intelligence. Technological Forecasting and Social Change, 109, pp. 15-24.

Conference proceedings

OLMEDILLA FERNANDEZ, M., ESPINOSA-LEAL, L., ROMERO MORENO, J.C. and LI, Z. (2024). Unveiling the value of user reviews on Steam: a predictive modeling of user engagement approach using Machine Learning.
OLMEDILLA FERNANDEZ, M., ROMERO MORENO, J.C., MARTÍNEZ TORRES, R. and TORAL, S. (2024). Evaluating coherence in AI-generated text.
OLMEDILLA FERNANDEZ, M., ROMERO MORENO, J.C. and BENAVENT, C. (2023). A BERT model approach on a large online reviews dataset: The role of context in evaluation.
OLMEDILLA FERNANDEZ, M., LI, Z., ESPINOSA-LEAL, L., LENDASSE, A. and BÖRK, K.M. (2022). Does streaming affects video game popularity?
OLMEDILLA FERNANDEZ, M., ROMERO, J.C., MARTÍNEZ TORRES, R. and TORAL, S. (2022). Applying NLP techniques to characterize what makes an online review trustworthy. Editorial Universitat Politècnica de València, pp. 189-195.
OLMEDILLA FERNANDEZ, M., ARENAS-MARQUEZ, F.J., MARTINEZ-TORRES, M.R. and TORAL, S. (2016). Features of Reputed Users in eWOM Using Evolutionary Computation.
OLMEDILLA FERNANDEZ, M., ARENAS-MARQUEZ, F.J., MARTINEZ-TORRES, M.R. and TORAL, S. (2016). Identification of Influencers in eWord-of-Mouth communities using their Online Participation Features.
OLMEDILLA FERNANDEZ, M., MARTINEZ-TORRES, M.R. and TORAL, S. (2015). Examining Gender Discourse Differences in Shared Reviews about Books in eWOM.
MARTANEZ-TORRES, M.R., TORAL, S. and OLMEDILLA FERNANDEZ, M. (2015). A quantitative study of the evolution of Open Source Software Communities.
OLMEDILLA FERNANDEZ, M., MARTINEZ-TORRES, M.R. and TORAL, S. (2015). A long tail study of eWOM communities.

Conference presentations

OLMEDILLA FERNANDEZ, M., LI, Z. and ESPINOSA-LEAL, L. (2023). Predicting the helpfulness score of videogames of the STEAM platform. In: CARMA2023-The 5th International Conference on Advanced Research Methods and Analytics. Seville.
OLMEDILLA FERNANDEZ, M., ROMERO MORENO, J.C., MARTÍNEZ TORRES, R. and TORAL, S. (2023). Applying Transformers-based NLP Models to Explore Credibility in Different Product Categories in Amazon’s online reviews. In: CARMA2023-The 5th International Conference on Advanced Research Methods and Analytics. Seville.
OLMEDILLA FERNANDEZ, M., LI, Z., ESPINOSA-LEAL, L., LENDASSE, A. and BÖRK, K.M. (2022). Does streaming affects video game popularity? In: The 12th International Conference on Extreme Learning Machines, ELM2022. Helsinki.
OLMEDILLA FERNANDEZ, M. (2022). Fundamentals of Artificial Intelligence and Machine Learning: Practical Business Applications. In: Cycle of Research Seminars Master and PhD Programme in Strategic Management and International Business Faculty of Economics and Business Administration University of Seville. Seville.
OLMEDILLA FERNANDEZ, M., ROMERO, J.C., MARTÍNEZ-TORRES, R. and TORAL, S. (2022). Applying NLP techniques to characterize what makes an online review trustworthy. In: 4th International Conference on Advanced Research Methods and Analytics (CARMA 2022). Valencia.
OLMEDILLA FERNANDEZ, M., HAIKEL-ELSABEH, M. and ROMERO, J.C. (2022). A hybrid recommender system combining online review helpfulness and review positive sentiment to increase prediction accuracy. In: 6th International Conference on Information System and Data Mining, ICISDM2022. Silicon Valley.
OLMEDILLA FERNANDEZ, M. (2022). Understanding Artificial Intelligence: An overview of the basics and its applications. In: Graduate School and Research Unit, Arcada University of Applied Sciences, Helsinki.
OLMEDILLA FERNANDEZ, M., MARTINEZ-TORRES, M.R. and TORAL, S. (2020). Identification of online reviews helpfulness using Neural Networks. In: CARMA2020, 3rd International Conference on Advanced Research Methods and Analytics. Valencia.
OLMEDILLA FERNANDEZ, M., HAIKEL-ELSABEH, M. and DE SMEDT, J. (2020). Recommending products based on users' positive word-of-mouth by combining a word-embedding model, Kernel Principal Component Analysis and SVD++ Collaborative Filtering. In: ICISDM2020 - 4th International Conference on Information System and Data Mining. Hilo.
TORAL, S., MARTINEZ-TORRES, M.R. and OLMEDILLA FERNANDEZ, M. (2019). Analysis of Online Reviews from the perspective of Search and Experience goods. In: International Conference on Social Informatics. Saint Petersburg.
OLMEDILLA FERNANDEZ, M. (2019). Recommending products based on users' activities and interests within an eWOM community by combining Principal Component Analysis and ALS Collaborative Filtering. In: ICISDM - International Conference on Information System and Data Mining. Houston.
OLMEDILLA FERNANDEZ, M. (2018). Improving postgraduate students' learning with the use of gamification Apps: The case of Kahoot! In: I International Workshop.Educational Innovation and Research. Sevilla.
OLMEDILLA FERNANDEZ, M., MARTINEZ-TORRES, M.R. and TORAL, S. (2018). Identification of helpful and not helpful online reviews within an eWOM community using text-mining techniques. In: International Conference on Advanced Research Methods and Analytics. Valencia.