University libraries as a model for the determination of the need for information specialists in knowledge industries? An exploratory analysis of the information sector in Austria

• Published in: Information processing & management Vol. 49; no. 5; pp. 1008 - 1018
• Main Authors: Hayes, Robert M., Karlics, Karin, Schloegl, Christian
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.09.2013; Elsevier
• Subjects: Austria; Data processing; Demand; Economics; Exact sciences and technology; Industry-occupation matrix; Information and communication sciences; Information industry; Information processing and retrieval; Information professionals; Information retrieval systems. Information and document management system; Information retrieval. Man machine relationship; Information science. Documentation; Information sector; Information specialist; Input–output table; Knowledge industry; Libraries; Mathematical models; Metadata; Readers; Research process. Evaluation; Sciences and techniques of general use; Statistics; Technical services; University library; Austria; Europe; Industry-occupation matrix; Information sector; University library; Input–output table; Information specialist; Knowledge industry; Exploratory analysis; Information; Knowledge; Information need; Industry; Input-output table; Input; Published document; Models; Information professional
• ISSN: 0306-4573; 1873-5371
• DOI: 10.1016/j.ipm.2013.04.001

•Knowledge industries (KI) are the largest segment of the Austrian information sector.•University libraries can serve as basis for estimating the need of info specialists in KI.•The ratio information specialists to knowledge workers is 1–130 in KI in Austria. In our paper we present an experimental study which investigated the possibility to project the need for information specialists serving knowledge workers in knowledge industries on the basis of an average university library serving their counterparts at a university. Information management functions, i.e. functions and processes related to information evaluation, acquisition, metadata creation, etc., performed in an average university library are the starting point of this investigation. The fundamental assumption is that these functions do not only occur in libraries but also in other contexts like, for instance, in knowledge industries. As a consequence, we try to estimate the need for information professionals in knowledge industries by means of quantitative methods from library and information science (Library Planning Model) and economics (input output analysis, occupational analysis). Our study confirms the validity of our assumption. Accordingly, the number of information specialists projected on the basis of university libraries is consistent with their actual number reported in national statistics. However, in order to attain a close fit, we had to revise the original research model by dismissing the split-up of information specialists into reader services and technical services staff.