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BIDAMARK

Financiado

Cerrado

BIg DAta driven MARKeting for better competitiveness

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... ver más

31/05/2017

UT1

173K€

Presupuesto del proyecto: 173K€

Líder del proyecto

UNIVERSITE TOULOUSE 1 CAPITOLE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2017-05-31

MSCA-IF-2014-EF: Marie Skłodowska-Curie Individual F...

I+D

Cerrada hace 10 años

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Características del participante

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

UT1

173.08K€ | Lider

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Duración del proyecto: 25 meses Fecha Inicio: 2015-04-14
Fecha Fin: 2017-05-31

Líder del proyecto

UNIVERSITE TOULOUSE 1 CAPITOLE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 173K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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