Objective
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences data science big data
- social sciences economics and business
- social sciences economics and business business and management business models
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF-EF-ST - Standard EF
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2014
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
31042 Toulouse
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.