کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
383327 660815 2012 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Revealing performance heterogeneity through knowledge management maturity evaluation: A capability-based approach
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Revealing performance heterogeneity through knowledge management maturity evaluation: A capability-based approach
چکیده انگلیسی

The dynamic capabilities view (DCV) focuses on renewal of firms’ strategic knowledge resources so as to sustain competitive advantage within turbulent markets. Within the context of the DCV, the focus of knowledge management (KM) is to develop the KMC through deploying knowledge governance mechanisms that are conducive to facilitating knowledge processes so as to produce superior business performance over time. The essence of KM performance evaluation is to assess how well the KMC is configured with knowledge governance mechanisms and processes that enable a firm to achieve superior performance through matching its knowledge base with market needs. However, little research has been undertaken to evaluate KM performance from the DCV perspective. This study employed a survey study design and adopted hypothesis-testing approaches to develop a capability-based KM evaluation framework (CKMEF) that upholds the basic assertions of the DCV. Under the governance of the framework, a KM index (KMI) and a KM maturity model (KMMM) were derived not only to indicate the extent to which a firm’s KM implementations fulfill its strategic objectives, and to identify the evolutionary phase of its KMC, but also to bench-mark the KMC in the research population. The research design ensured that the evaluation framework and instruments have statistical significance and good generalizabilty to be applied in the research population, namely construction firms operating in the dynamic Hong Kong construction market. The study demonstrated the feasibility of quantitatively evaluating the development of the KMC and revealing the performance heterogeneity associated with the development.


► Measure knowledge management capability (KMC) as a dynamic capability.
► Develop capability-based KM evaluation framework (CKMEF) to align with firms’ goals.
► Derive knowledge management index (KMI) for self-assessment and bench-marking.
► Define KM maturity model (KMMM) for identifying evolutionary phase of KMC.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 39, Issue 18, 15 December 2012, Pages 13523–13539
نویسندگان
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