Sara Bonesso & Elena Bruni 
Behavioral Competencies of Digital Professionals [PDF ebook] 
Understanding the Role of Emotional Intelligence

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Shedding new light on the human side of big data through the lenses of emotional and social intelligence competencies, this book advances the understanding of the requirements of the different professions that deal with big data. It also illustrates the empirical evidence collected through the application of the competency-based methodology to a sample of data scientists and data analysts, the two most in-demand big data jobs in the labor market. The book provides recommendations for the higher education system to offer better designed curricula for entry-level big data professions. It also offers managerial insights in describing how organizations and specifically HR practitioners can benefit from the competency-based approach to overcome the skill shortage that characterizes the demand for big data professional roles and to increase the effectiveness of the selection and recruiting processes. 

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Table des matières

Chapter 1. Big data analytics professionals: emerging trends and job profiles.- Chapter 2. When hard skills are not enough: The role of behavioural competencies in business analytics professions.- Chapter 3. The competency profile of data scientists and business analysts.- Chapter 4. Managing business analytics professions through a competency-based approach. 

A propos de l’auteur


Sara Bonesso is associate professor of Business Organization and Human Resources Management at the Ca’ Foscari University of Venice, Italy. She is also one of the founders and the Vice-Director of the Ca’ Foscari Competency Centre.

Elena Bruni is post-doc researcher at the Department of Management, Ca’ Foscari University of Venice, Italy.

Fabrizio Gerli is Associate Professor of Business Organization and Human Resources Management at Ca’ Foscari University of Venice, Italy. He is also one of the founders and the Director of the Ca’ Foscari Competency Centre.

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Langue Anglais ● Format PDF ● Pages 110 ● ISBN 9783030335786 ● Taille du fichier 1.8 MB ● Maison d’édition Springer International Publishing ● Lieu Cham ● Pays CH ● Publié 2019 ● Téléchargeable 24 mois ● Devise EUR ● ID 7326211 ● Protection contre la copie DRM sociale

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