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. T...

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Bibliographic Details

Main Author:	Ziderman, Adrian (Author)
Format:	Electronic eBook
Language:	English
Published:	Bingley Emerald Group Publishing Limited 2015
Series:	International Journal of Manpower: Volume 36, Issue 1
Subjects:	Datenverarbeitung Information storage and retrieval systems > Personnel management Personnel management > Data processing Personnel management > Technological innovations
Summary:	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 Advancement in Social Sciences" reviews the issues and surveys the relevant literature. Internet data can be applied to a wide range of issues including forecasting (e.g. of unemployment, consumption goods, tourism, festival winners and the like), nowcasting (obtaining relevant information much earlier than through traditional data-collection techniques), detecting health issues and well-being (e.g. flu, malaise and ill-being during economic crises), documenting the matching process in various parts of the individual life (e.g., jobs, partnership, shopping, preferences), and measuring complex processes where traditional data have known deficits (e.g. international migration, collective bargaining agreements in developing countries). The paper by Emilio Zagheni and Ingmar Weber on "Demographic Research with Non-Representative Internet Data" addresses the two most critical methodological issues in the use of internet data: non-representativeness and selection bias. It proposes a framework to collect web data and discusses possible estimation methods. The paper also surveys relevant demographic literature, in particular in the area of migration, where useful data about the mobility process are typically scarce in the traditional data sources.Two papers study well-being from different data sources. Nikolaos Askitas and Klaus F. Zimmermann are examining "Health and Well-Being in the
Item Description:	Description based on publisher supplied metadata and other sources
Physical Description:	1 online resource (117 pages)
ISBN:	9781785601453