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Strategic Decisions in e-Knowledge: An Analytic Network Process

机译:电子知识中的战略决策:分析网络过程

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This paper has addressed the need for a strategic decision making tool to assist management in determining which KM construct is most beneficial in the development of an agile supply chain. The ANP process of eliciting information and showing the various relationships requires that management be familiar with the issue and to think of the problem in broader terms. The actual process of going through the decision will help management learn of the various issues related to strategic decisions. The process and model are valuable knowledge and learning tools, not just a mechanism to support a final decision. The model is also flexible enough to incorporate additional criteria with little difficulty, as required by the dynamic and competitive environment and organizational structure. There are some limitations of the model and what we have presented. One is the knowledge of the decision maker. The decision-maker provides the values for the pairwise comparisons and therefore, the model is very dependent on the perceptual weightings provided by the decision-maker. This risk can be reduced by using more than one decision maker from the same organization and averaging their re- sponses. The decision-maker set needs to include someone in the organization who understands the strategic level of the logistics process and the implications for their company. Second, KM is not just a technology project. KM relies on organizational structures and culture to meet its goals. Therefore, there is a very heavy dependency on the specific organization or at least the specific type of organization, where the KM initiative is being implemented. Thus the generalizability of findings based on our model to other organizations may be limited. The significance of this study is the development of metrics for measuring the relative importance of a particular dimension based on the application of theoretical concepts from the information systems and management science literature to the modern knowledge economy. It embraces a multidisciplinary and interdisciplinary perspective on the challenge of KM in the context of supply chain strategy by drawing upon perspectives from the domains of strategy, information systems, management science, organizational behavior and organizational development. This study is intended to raise the level of intellectual curiosity about the link between KM and global supply chain drivers in the modern knowledge economy. The concept of KM in the context of an agile supply chain suggests the creation of structures that combine the most advanced elements of technological resources and the indispensable input of human response and decision-making. The challenge of managing these complex structures has tremendous potential from either the practical, productive viewpoint or the human growth perspective. In a way, the development of a 'knowledge entity' seems to be much like the education of a human being. Both have growing, changing, and unpredictable potential for innovation, each in their own way. Since contextual factors play a critical role in the design of effective KM systems, technical and process solutions need to be customized to fit the organization performance criteria, dimensions of agility and supply chain drivers.
机译:本文提出了一种战略决策工具的需求,以协助管理层确定哪种KM结构对开发敏捷供应链最有利。 ANP引发信息并显示各种关系的过程要求管理层熟悉问题并从更广泛的角度考虑问题。决策的实际过程将帮助管理层了解与战略决策有关的各种问题。流程和模型是有价值的知识和学习工具,而不仅仅是支持最终决策的机制。该模型还足够灵活,可以根据动态和竞争性环境以及组织结构的要求,毫不费力地合并其他标准。该模型以及我们介绍的内容存在一些局限性。一是决策者的知识。决策者提供了成对比较的值,因此,模型非常依赖于决策者提供的感知权重。通过使用来自同一组织的多个决策者并平均其响应,可以降低这种风险。决策者需要在组织中包括一个了解物流过程的战略水平及其对公司的影响的人员。其次,知识管理不仅仅是一个技术项目。知识管理依靠组织结构和文化来实现其目标。因此,对实施KM计划的特定组织或至少特定类型的组织有很大的依赖性。因此,基于我们的模型的调查结果对其他组织的推广性可能会受到限制。这项研究的意义在于,基于从信息系统和管理科学文献到现代知识经济的理论概念的应用,开发了用于度量特定维度相对重要性的度量标准。它通过从战略,信息系统,管理科学,组织行为和组织发展等领域的观点出发,围绕供应链战略中的知识管理挑战提出了多学科和跨学科的观点。这项研究旨在提高对知识管理与现代知识经济中的知识管理和全球供应链驱动因素之间联系的好奇心。在敏捷供应链的背景下,知识管理的概念建议创建一种结构,该结构结合了技术资源的最先进元素以及人类对策和决策必不可少的投入。从实际的,富有成效的观点或人类成长的角度来看,管理这些复杂结构的挑战都具有巨大的潜力。在某种程度上,“知识实体”的发展似乎很像人类的教育。两者都有自己独特的增长,变化和不可预测的创新潜力。由于上下文因素在有效的KM系统的设计中起着关键作用,因此需要定制技术和过程解决方案以适合组织绩效标准,敏捷性和供应链驱动因素。

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