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Motives for Feral Systems in Denmark

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Feral systems have largely been regarded as the users’ response to misfit between official IT software systems and actual business processes. Inadequacies, discrepancies and absence of systems support to work processes might lead to users initiating systems development themselves; systems involving any combination of software and manual processes. Feral systems are unofficial and exhibit a conflict between formal and actual operational implementation. In this chapter, the use and implementation of feral systems in Denmark are analysed and discussed. It is found interesting to aim for an understanding of feral systems in a small, relatively agile economy traditionally positive to rapid adoption of information technology in enterprises. The method being used is qualitative case studies in selected companies representing various complexities of their respective business models and industries. The case studies address both issues of organisational and technological nature of the feral systems typically with an offset in the companies’ overall information systems architecture. Among findings are (1) feral systems as a known choice when reflecting business processes with open and non-routinised character, (2) a general acceptance not related to the size or industry, (3) feral systems have received attention as implementations of innovation, (4) feral systems start as opposed to formal and official systems, but during their lifetime they can drift towards a more official status, and (5) feral systems are accepted as low-cost solutions to fill gaps in business process support where ERP systems come short.
OriginalsprogEngelsk
TitelFeral Information Systems Development. Managerial Implications
RedaktørerDonald Kerr, Kevin Burgess, Luke Houghton
Antal sider31
UdgivelsesstedHershey, PA
ForlagIGI global
Udgivelsesår2014
Sider129-160
Kapitel7
ISBN (trykt)9781466650275, 1466650273
ISBN (Elektronisk)9781466650282
DOI
StatusUdgivet - 2014
SerietitelAdvances in Business Information Systems and Analytics
ISSN2327-3275

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