Document (#25269)

Author

Huotari, M.-L.

Title

Social network analysis as a tool to evaluate IM in the public sector : a pilot study at the University of Tampere

Source

Exploring the contexts of information behaviour: Proceedings of the 2nd International Conference on Research in Information Needs, Seeking and Use in Different Contexts, 13-15 August 1998, Sheffield, UK. Ed. by D.K. Wilson u. D.K. Allen

Imprint

London : Taylor Graham Publ.

Year

1999

Pages

S.568-585

Abstract

Networking, both social and electronic, internal and external, is becoming the core of competitive competence in strategic information management (SIM) of organizations at the beginning of the next millennium. It is a key to overcome problems caused by continued pressures for drastic cost cuts and associated efficiency gains in the public sector. This paper is based on the indicative findings of a pilot study on SIM in the public sector. The aim of the study is to elaborate further the methodology which is based on the concept of the value chain' (Porter, 1985) in combination with the critical success factors (CSF) (Daniel, 1961; Rockart, 1979) and the information auditing (Ellis et al., 1993) approaches. The methodology was initially tested in two very information intensive organizations of polar types - Finnish pharmaceutical and publishing companies. The findings indicated that information management (IM) is a significant organizational support activity, and, thus, it should be included in the firm's infrastructure (see: Huotari 1995a, 1995b; Huotari & Wilson 1996; Huotari 1997a, 1997b). This inclusion was not stressed by Porter (1985) and Porter & Millar (1985). In the present study, the analytical framework is expanded with the concept of a social network 2 (e.g. Alba, 1982; Allen, 1977; Burt, 1992; Burt & Minor, 1983; Granovetter, 1973, Scott, 1991; Wasserman & Faust, 1994). This expansion is crucial to enable an examination of organizational information behaviour in a more concrete (and explicit) manner. That is, by identifying the nature of information interactions by utilizing social network theory.

Location

FIN
Tampere

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