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Measuring supply chain knowledge management (SCKM) performance based on double/ triple loop learning principle

机译:基于双/三环学习原理评估供应链知识管理(SCKM)绩效

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摘要

Purpose - The purpose of this paper is to propose performance measures for supply chain knowledge management (SCKM) performance. Design/methodology/approach - This is a conceptual study. State of performance measurement has been analyzed on the basis of a comprehensive review of literature in field of SCKM. Based on principles of double and triple loop learning, performance measures have been identified for measuring the success of KM practices in SCs. Findings - Principles of double and triple loop learning have been utilized to suggest KPI's for SCKM performance, i.e. supply chain identity and knowledge supply chain stratum. The relevance and justification of these KPI's is also discussed. Research limitations/implications - This study is limited to conceptualized measures for SCKM only. Further research is required to test the benefits of these performance measures based on industry applications. Practical implications - These proposed KPI's will facilitate the development of the new processes through re-engineering, i.e. problem identification and then rectification. Further, these KPI's will provide some essential insights as to how supply chains can develop their performance evaluation systems to become more effective and learning oriented. Originality/value - This study aims to not only identify the gaps present in the SCKM performance measurement literature but also aims to fill the knowledge gap by suggesting suitable performance metrics.
机译:目的-本文的目的是提出供应链知识管理(SCKM)绩效的绩效指标。设计/方法/方法-这是一项概念研究。在对SCKM领域的文献进行全面回顾的基础上,分析了绩效评估的状态。基于双循环和三循环学习的原理,已确定了用于衡量SC中KM实践成功与否的绩效指标。发现-双循环和三循环学习的原理已被用来建议SCPI性能的KPI,即供应链身份和知识供应链层次。还讨论了这些KPI的相关性和合理性。研究的局限性/意义-本研究仅限于SCKM的概念化措施。需要进一步的研究以基于行业应用测试这些性能指标的优势。实际意义-这些拟议的KPI将通过重新设计(即问题识别和纠正)来促进新流程的开发。此外,这些KPI将提供有关供应链如何开发其绩效评估系统以变得更加有效和面向学习的一些基本见解。原创性/价值-这项研究不仅旨在识别SCKM绩效衡量文献中存在的差距,而且还通过提出合适的绩效指标来填补知识差距。

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