Knowledge-driven development indicators: Still an eclectic panorama

Document Type

Article

Publication Date

9-25-2007

Abstract

Purpose - The purpose of this paper is to highlight that research on the measurement of key indicators that represent drivers of the knowledge economy still spans several different, although interrelated, directions. The results of this review call for further integration of metrics through cross-disciplinary international, multinational and organizational partnerships that could reconcile and define de facto standards for the assessment of the drivers of knowledge-based growth. Design/methodology/approach - General review, literature review. The paper reviews extant literature and practical experiences in knowledge-based development assessments. Findings - The review finds that many institutions are still adopting a variety of approaches which are difficult to reconcile. Additional coordination efforts are required to overcome contextual and non-replicable approaches and, thus, increase standardization of metrics. Research limitations/implications - While the paper discusses limitations of extant approaches, it does not build (another) alternative theoretical solution. Rather it suggests actionable strategies that require a high level of international coordination. Practical implications - The paper shows the path and examples of multi-agency approach to achieve standardization. Originality/value - The value of the paper stems from its classification and review of selected approaches both at the country and organizational level. While it is motivated by a call for integration that is not novel to the field of knowledge management, it suggests that this coordination: needs to occur simultaneously both at the country and the organizational levels, whereby country approaches could inform and drive industry approaches; and needs to leverage international coordination models such as those of international standardization bodies.

Identifier

34548752326 (Scopus)

Publication Title

Journal of Knowledge Management

External Full Text Location

https://doi.org/10.1108/13673270710819843

ISSN

13673270

First Page

115

Last Page

128

Issue

5

Volume

11

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