Software Systems for Collaborative Work

Markovski, Goran (2012) Software Systems for Collaborative Work. Masters thesis, University Goce Delcev- Stip.

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Abstract

There are many organizations where information are not properly organized
and stored in one place, and often happens that more employees have several
different versions of a document, which leads to inconsistent performance in
institution.
To overcome these problems, it is more than is necessary to take into account
the use of collaborative systems, which include collaborative programs as a basis for
calculating supported cooperative work. Within the collaborative environment teams
can get more resources, feedback and use iterative processes to improve mutual
work, whereas they learn from each other and have the opportunity to change the
manner of work, creating better results. Collaboration is a process where team
members work together to achieve common objectives/goals. In addition, they
exchange knowledge and build a consensus for achieving the objective/goal.
A typical example of a software program for more effective and more efficient
team collaboration is Microsoft Office SharePoint Server. Microsoft Office SharePoint
Server 2007 (MOSS 2007) is based on the functionality provided by Windows
SharePoint Services 3.0 (WSS 3.0).
The applicative solution presented in this master thesis is developed in
Microsoft Office SharePoint Server 2007 platform. This master thesis and the
solution presented in it show how modern information technologies can meet the
demands of the modern business world and business processes. Specifically, the
solution should meet the requirements in the Department of Information Technology
in the institution for collaboration between staff in the institution (which may be
located at different physical locations) through a task management system,
automatic document management system, electronic notification system and other
functionalities, in order to improve the operations and increase the efficiency and
effectiveness in performing of the working tasks.

Item Type: Thesis (Masters)
Subjects: Natural sciences > Computer and information sciences
Divisions: Faculty of Computer Science
Depositing User: Snezana Georgieva Siceva
Date Deposited: 07 Nov 2012 18:45
Last Modified: 15 Nov 2012 10:13
URI: https://eprints.ugd.edu.mk/id/eprint/612

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