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Knowledge management reliability assessment: an empirical investigation

机译:知识管理可靠性评估:一项实证研究

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Purpose - A perfect knowledge management (KM) initiative is one that achieves its objectives without any failure during a pre-defined period. However, KM implementation is not perfect in every organization as it requires substantial changes in organizational infrastructures, including culture, structure, and technology. Therefore, the purpose of this paper is to propose a model for assessing the reliability of KM to help organizations evaluate their ability to implement KM successfully by identifying key reliability variables, modeling the complex interaction structure among variables, and determining the probability of failure for each KM capability. Design/methodology/approach - In this study, relevant variables are identified by a thorough analysis of related references in literature. In order to determine the compound structure of complicated interactions among variables, a group-based approach is utilized. Based on the combined cognitive maps, a cognitive network is constructed as a framework for graphically representing the logical relationships between variables and capturing the uncertainty in the dependency among these variables using conditional probabilities. The applicability of the proposed approach and the efficacy of the model was verified and validated with data from a banking institution. Findings - Results show that KM reliability can be defined by the degree to which required KM capabilities, including infrastructure and process capabilities, have the ability to perform as intended in a certain organizational environment. Furthermore, it is demonstrated that reliability assessment of KM through a hybrid approach of fuzzy cognitive map and Bayesian network is possible and useful. Practical implications - The proposed reliability assessment model facilitates the process of understanding why and how failures occur in KM. Moreover, the proposed approach evaluates the probability of success for each variable as well as for the entire KM initiative. Therefore, it can provide insight for managers and executives into the degree of reliability for their existing KM and prevention of failures in vital factors through necessary actions. Originality/value - The suggested approach to KM reliability assessment is a novel method that provides powerful arguments for a more holistic view of KM reliability factors, which is crucial for the successful implementation of KM.
机译:目的-完善的知识管理(KM)计划是在预定的时间内实现其目标而没有任何失败的计划。但是,知识管理的实施并非在每个组织中都是完美的,因为它要求对组织基础结构(包括文化,结构和技术)进行实质性更改。因此,本文的目的是提出一个评估知识管理可靠性的模型,以通过识别关键可靠性变量,对变量之间的复杂交互结构建模以及确定每个知识模型的失败概率,来帮助组织评估其成功实施知识管理的能力。 KM功能。设计/方法/方法-在本研究中,通过对文献中相关参考文献的彻底分析来确定相关变量。为了确定变量之间复杂交互的复合结构,使用了基于组的方法。基于组合的认知图,将认知网络构建为框架,以图形方式表示变量之间的逻辑关系,并使用条件概率来捕获这些变量之间的依存关系的不确定性。利用银行机构的数据验证并验证了所提出方法的适用性和模型的有效性。研究结果-结果表明,知识管理的可靠性可以通过所需的知识管理功能(包括基础结构和流程功能)在特定组织环境中能够按预期执行的程度来定义。此外,证明了通过模糊认知图和贝叶斯网络的混合方法对KM进行可靠性评估是可行和有用的。实际意义-提议的可靠性评估模型有助于理解KM故障的原因和方式。此外,所提出的方法评估了每个变量以及整个KM计划成功的概率。因此,它可以为经理和行政人员提供有关其现有知识管理的可靠性程度的洞察力,并通过采取必要的措施来防止重要因素的失败。独创性/价值-所建议的KM可靠性评估方法是一种新颖的方法,它为更全面地了解KM可靠性因素提供了有力的论据,这对于成功实施KM至关重要。

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