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Introduction: Einführung


Paarsch, Harry J; Schmedders, Karl (2018). Introduction: Einführung. Jahrbücher für Nationalökonomie und Statistik = Journal of Economics and Statistics, 238(3-4):183-187.

Abstract

By making gathering large samples of data (Big Data) almost trivial, the Information Revolution has changed fundamentally how many scientists now conduct empirical research. The explosion in the variety and volume of information that is Big Data has in many cases altered both the questions asked and how those questions are answered. In this special issue devoted to Big Data, we have collected five papers from the social sciences, particularly economics, but business as well. The main goal of the issue is to introduce economists to the different ways that Big Data can and have been used in business and economic research, in the hope that this will spur additional innovative research in those fields.

Abstract

By making gathering large samples of data (Big Data) almost trivial, the Information Revolution has changed fundamentally how many scientists now conduct empirical research. The explosion in the variety and volume of information that is Big Data has in many cases altered both the questions asked and how those questions are answered. In this special issue devoted to Big Data, we have collected five papers from the social sciences, particularly economics, but business as well. The main goal of the issue is to introduce economists to the different ways that Big Data can and have been used in business and economic research, in the hope that this will spur additional innovative research in those fields.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Business Administration
Dewey Decimal Classification:330 Economics
Scopus Subject Areas:Social Sciences & Humanities > General Business, Management and Accounting
Social Sciences & Humanities > Social Sciences (miscellaneous)
Social Sciences & Humanities > Economics and Econometrics
Scope:Discipline-based scholarship (basic research)
Language:German
Date:2018
Deposited On:05 Sep 2019 12:26
Last Modified:22 May 2024 01:44
Publisher:Lucius & Lucius Verlagsgesellschaft
ISSN:0021-4027
OA Status:Green
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1515/jbnst-2018-0028
Other Identification Number:merlin-id:18105
  • Content: Published Version