Document (#38630)

Author

Bourouni , A.
Noori, S.
Jafari, M.

Title

Knowledge network creation methodology selection in project-based organizations : an empirical framework

Source

Aslib journal of information management. 67(2015) no.1, S.74-93

Year

2015

Abstract

Purpose - In today's knowledge-based economy, knowledge networks (KN) increasingly are becoming vital channels for pursuing strategic objectives in project-based organizations (PBO), in which the project is the basic organizational element in its operation. KN initiatives often are started with the selection of a creation methodology, which involves complex decisions for successful implementation. Thus, the purpose of this paper is to address this critical selection of methodology and proposes a holistic framework for selecting an appropriate methodology in this kind of flatter, speedier, and more flexible organizational form. Design/methodology/approach - In the first step, the study established a theoretical background addressing the problem of KN creation in PBO. The second step defined selection criteria based on extensive literature review. In the third step, a holistic framework was constructed based on different characteristics of existing methodologies categorized according to the selected criteria. Finally, the suggested framework was empirically tested in a project-based firm and the case study and the results are discussed. Findings - A holistic framework was determined by including different aspects of a KN such as network perspectives, tools and techniques, objectives, characteristics, capabilities, and approaches. The proposed framework consisted of ten existing KN methodologies that consider qualitative and quantitative dimensions with micro and macro approaches. Originality/value - The development of the theory of KN creation methodology is the main contribution of this research. The selection framework, which was theoretically and empirically grounded, has attempted to offer a more rational and less ambiguous solution to the KN methodology selection problem in PBO forms.

Content

Vgl.: http://dx.doi.org/10.1108/AJIM-09-2014-0112.

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5. Cheng, Y.-Y.; Xia, Y.: ¬A systematic review of methods for aligning, mapping, merging taxonomies in information sciences (2023) 0.20

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