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AI & SOCIETY : Volume 12, Issue 3, September 1998

AI & SOCIETY : Volume 12, Issue 1-2, March 1998

AI & SOCIETY : Volume 11

Proactive management of distributed organisational computing: Prevention always pays, doesn't it?

Content Provider	Springer Nature Link
Author	Forsman, Lauri
Copyright Year	1998
Abstract	Organisations have eagerly adopted the new opportunities provided by distributed computing technology. These opportunities have also created new dependency on the technology and threats of technical problems. Information technology (IT) management has to choose its position towards these new technical risks. Should the problems be prevented proactively in advance or settled reactively afterwards?This paper draws conclusions from an action research case study aimed at proactive versus reactive end-user support. Between 1994 and 1997 one of the business units in Nokia Telecommunications required a new approach for its distributed information systems (IS) to facilitate rapid organisational growth. The distributed IS and its end-user support were established and organised during a 30-month re-engineering process.These results provide a new view to the dependencies between business processes and IT. The new distributed IT has become, often insidiously, a necessity for vital business processes. Therefore, risk management should be adopted as a standard tool for IS management to identify such dependencies. Proactive actions should be aimed at those areas where IT-related business risks are identified. Proactivity should be supplemented by reactive support to provide daily assistance for the end-users.
Starting Page	328
Ending Page	345
Page Count	18
File Format	PDF
ISSN	09515666
Journal	AI & SOCIETY
Volume Number	12
Issue Number	4
e-ISSN	14355655
Language	English
Publisher	Springer-Verlag
Publisher Date	1998-01-01
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Distributed computing Management Pay-back Proactive Computer Science Artificial Intelligence (incl. Robotics) Engineering Economics, Organization, Logistics, Marketing Automation and Robotics Psychology
Content Type	Text
Resource Type	Article
Subject	Philosophy Artificial Intelligence Human-Computer Interaction

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