Obiettivo Big data analysis has become a source of competitive advantage for businesses and even whole economies. Big data is indeed a critical issue for the digital economy, innovation and services that are expected to drive growth and job creation in the EU. Compared to the USA, however, the EU has been slow in the adoption of big data analysis. Fortunately, big data opportunities still exist in many business sectors to improve the competitiveness of European firms. In particular, performance may be improved by making use of big customer data to offer goods and services that better meet customer needs, i.e. “big data-driven marketing (BDM)”. However, adopting BDM has a steep learning curve due to organizations’ lack of understanding regarding the diverse factors required to succeed. The BIDAMARK project aims to assess the impact of different success factors on BDM, and consequently on firms’ ability to achieve superior customer performance. To answer this question, a comparative analysis between France- and US-based firms, and between industry sectors, will be implemented. A quantitative survey methodology will be applied with structural equation modelling (PLS) as the primary analysis method. This project is a perfect springboard for the Principal Investigator (PI) through the opportunity to build durable research networks, and acquire new skills that are complementary with his current expertise. New skills include research skills (theoretical and methodological), technical skills (use of new software tools), project management skills (lead of interdisciplinary project), language skills (French), and training skills (course teaching). Moreover, the publication of conference papers (later developed into high-impact journal articles) and recommendations for decision-makers will contribute to the improvement of the visibility of the PI’s research, and positively influence his academic career. Finally, this project builds a foundation for future collaborations. Campo scientifico natural sciencescomputer and information sciencesdata sciencebig datasocial scienceseconomics and businesssocial scienceseconomics and businessbusiness and managementbusiness models Programma(i) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Argomento(i) MSCA-IF-2014-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF) Invito a presentare proposte H2020-MSCA-IF-2014 Vedi altri progetti per questo bando Meccanismo di finanziamento MSCA-IF-EF-ST - Standard EF Coordinatore UNIVERSITE TOULOUSE 1 CAPITOLE Contribution nette de l'UE € 173 076,00 Indirizzo RUE DU DOYEN GABRIEL MARTY 2 31042 Toulouse Francia Mostra sulla mappa Regione Occitanie Midi-Pyrénées Haute-Garonne Tipo di attività Higher or Secondary Education Establishments Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Partecipazione a programmi di R&I dell'UE Opens in new window Rete di collaborazione HORIZON Opens in new window Costo totale € 173 076,00
