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Ginevra Gravili

Publications -  13
Citations -  90

Ginevra Gravili is an academic researcher. The author has contributed to research in topics: Social media & Hofstede's cultural dimensions theory. The author has an hindex of 4, co-authored 11 publications receiving 57 citations.

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The influence of the Digital Divide on Big data generation within supply chain management

TL;DR: In this article, the influence of digital divide and digital alphabetization (DA) on the BD generation process was examined to gain insight into how BD could become a useful tool in the decision-making process of supply chain management (SCM).
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Value that matters: intellectual capital and big data to assess performance in healthcare. An empirical analysis on the European context

TL;DR: A data-driven model is proposed that presents new approach to IC assessment, extendable to other economic sectors beyond healthcare, and challenges the views of knowledge sharing deeply held inside organizations by creating “new value” developed through a more collaborative and permeated approach.
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Assuring SME’s Sustainable Competitiveness in the Digital Era: A Labor Policy between Guaranteed Minimum Wage and ICT Skill Mismatch

TL;DR: In this article, the authors analyze the real impact of ICT skills mismatch on SME's sustainable competitiveness in the presence of a guaranteed minimum wage, and understand whether increasing productivity and a fair minimum wage could be an integrated approach for stimulating SMEs in increasing sustainable competitiveness.
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Social Media and Environmental Sustainability: An Overview of European Countries

TL;DR: In this paper, the authors empirically tested two models that examine the effects of cultural values and social media on environmental performance by considering different variables such as Social Media penetration, Hofstede's Cultural Dimensions and Environmental Performance Index.
Proceedings ArticleDOI

Sharing Knowledge through Social Media: The Influence of National Cultures

TL;DR: In this paper, the authors aim to understand if knowledge sharing through social media is suitable for all types of cultures and if cultural dimensions can interfere or facilitate the diffusion of information, and they find that knowledge sharing in social media can be suitable for many cultures.