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Using internet activity data to analyze human resources issues / / guest editors, Professor Nikolaos Askitas and Professor Klaus F. Zimmermann



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Titolo: Using internet activity data to analyze human resources issues / / guest editors, Professor Nikolaos Askitas and Professor Klaus F. Zimmermann Visualizza cluster
Pubblicazione: [Bradford, West Yorkshire, England] : , : Emerald, , [2015]
©2015
Descrizione fisica: 1 online resource (117 p.)
Disciplina: 658.300285
Soggetto topico: Information storage and retrieval systems - Personnel management
Personnel management - Data processing
Personnel management - Technological innovations
Persona (resp. second.): AskitasNikolaos
ZimmermannKlaus F.
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Cover; Editorial advisory board; The internet as a data source for advancement in social sciences; Demographic research with non-representative internet data; Health and well-being in the great recession; A web survey analysis of subjective well-being; "As rare as a panda"; Comparing collective bargaining agreements for developing countries; Can internet searches forecast tourism inflows?
Sommario/riassunto: This special issue of the International Journal of Manpower examines the potentials and challenges of Internet data or ""Big Data"" for research in the social sciences with a special focus on human resources issues. Internet data are increasingly representing a large part of everyday life. The information is timely, perhaps even daily following the factual process. It typically involves large numbers of observations and allows for flexible conceptual forms and experimental settings. The introduction paper by Nikolaos Askitas and Klaus F. Zimmermann on ""The Internet as a Data Source for Advanc
Titolo autorizzato: Using internet activity data to analyze human resources issues  Visualizza cluster
ISBN: 1-78560-145-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910797130903321
Lo trovi qui: Univ. Federico II
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Serie: International Journal of Manpower: Volume 36, Issue 1