The management of IT projects often suffers from the absence of a continuous flow of comprehensible information and a uniform representation of the desired data. This is why the quality of the presented information is often questionable. Project decisions taken at those information bases are often suboptimal and leave a feeling of insecurity. This paper proposes an approach to mitigate those problems by means of a collaborative acquisition of necessary key factors. The collaboration was carried out in 6 iterative meetings with 4 selected industrial partners. Based on the results of these meetings and Design by Research as chosen methodology, a specification was derived which guided the creation of a research software prototype for the subsequent testing phase. The prototype supported improved project-information representation with meta-tagging through keywords. Qualitative and quantitative data were obtained during testing of real projects of the industrial partners and were analyzed afterwards by a suitable mixed method approach. With 6 out of 8 positive tested hypotheses, the results show a significant improvement in the key issues, such as a continuous availability of key facts, improved reliability of the data, and less dependence on individuals during reporting. These initial results point to the fact that the path taken in this study is a promising one towards improving the flow and presentation of information in project management generally. Nevertheless, an advanced follow-up study is recommended for deriving yet more solid ground for the derivation of highly usable software support tools.
This article proposes a conceptual implementation by means of a suitable framework to improve the continuity and integrity of information in project management. It is argued that this methodology offers a comprehensive benefit in terms of a holistic project management. The benefit characterizes itself mainly by a focused representation of project sections in dependence of the desired detail degree, as well as the base of information restorable any time on the basis of the origin production data. It takes advantage of a collaborative act to declare the necessities like keywords and conventions in advance, which has the main purpose to avoid semantic misinterpretation between users and the accepted model of approach. The concept of this scheme offers generally a high flexibility with only few dependencies – hence it's easy to extend the framework on consensual agreed pragmatics. Furthermore, it is shown that in practice there is a loose coupling to the underlying host system, which promotes the exchange of other systems. Since the framework payload is based on pure keyword mechanisms with expandable notation, a high degree of user-driven specialization is offered. Finally, the keyword pragmatic is explained on four keywords which have been agreed by a collaborative collection with selected industry partners and represent on behalf a possible application to a software Repository.
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