Katalog Plus
Bibliothek der Frankfurt UAS
Bald neuer Katalog: sichern Sie sich schon vorab Ihre persönlichen Merklisten im Nutzerkonto: Anleitung.
Dieses Ergebnis aus Complementary Index kann Gästen nicht angezeigt werden.  Login für vollen Zugriff.

The "Modernisation" of the Australian Taxation Office:.

Title: The "Modernisation" of the Australian Taxation Office:.
Authors: Patsy Segall; Michael Cebalo; Cath Jolly; Bruce Wilson
Source: Information Technology & People; 1994, Vol. 7 Issue 3, p19, 18p
Subject Terms: ORGANIZATIONAL change; INFORMATION technology
Geographic Terms: AUSTRALIA
Abstract: The difficulties in designing and implementing successful technological systems which support business objectives, good work practices and high quality outcomes are well known. Discusses the "modernisation" of the Australian Taxation Office - an ambitious ten-year programme of organizational and tech-nological change - which has its origins in the need for re-equipment and the recognition that the new systems must support the way in which the Taxation Office would work in the future. Review of the programme mid-term shows considerable success, but also areas where it has been difficult to achieve some of the aims. In spite of the participatory framework, participants tend to feel that technology has driven the process, rather than business or workplace requirements. In particular, some initiatives have impacted negatively on workers, and it has been difficult to integrate the implementation of new systems with the design of better work practices. Recognition of these problems has encouraged the development of new approaches to work and systems design, and considerable further organizational and structural change. [ABSTRACT FROM AUTHOR]
: Copyright of Information Technology & People is the property of Emerald Publishing Limited and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Complementary Index