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A comparative study of task domain analysis to enhance organizational knowledge management: Systems thinking and Goldratt's thinking processes.

机译：增强组织知识管理的任务域分析的比较研究：系统思维和Goldratt的思维过程。

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摘要

The focus in this research is on the effectiveness of two problem solving or task analysis methodologies in order to enhance of knowledge management in organizations. The taro methodologies are systems thinking and Goldratt's thinking processes.;One of the goals of the research is to investigate the effectiveness of the two theories in managing task domains when controlling for individual differences. The synergies between the two theories are also investigated. In this research, knowledge management centers more on humans rather than on computers.;As a lead-off, a background overview of knowledge and knowledge management is first presented. Within the context of knowledge management, the subject of task analysis or problem solving is then presented.;Fundamentally, knowledge management has to do with the creation of explicit processes that enhance knowledge and learning throughout the organization. Knowledge could be defined more generally as "any text, fact, example, event, rule, hypothesis, or model that increases understanding or performance in a domain or discipline" (Liebowitz and Beckman, 1998). Maintaining this perspective, knowledge management is defined as "the systematic, explicit, and deliberate building, renewal, and application of knowledge to maximize the enterprise's knowledge-related effectiveness and returns from its knowledge asset" (Liebowitz and Beckman, 1998).;According to Liebowitz and Beckman, knowledge asset refers to the organizational knowledge imbedded in the human resources that make up a given organization. Knowledge management requires systematic attention to learning processes, culture, technology infrastructure and measurement (Brown and Massey, 1999). Since organizations are often made of workgroups or teams, and the workgroups are, in turn, made up of individuals, when we speak of organizational learning or knowledge management, aggregation necessarily has to be preceded by analysis at the individual level.;Using masters degree students as subjects, several hypotheses are generated and tested. The results of the study would help managers gain a better understanding of the dynamics of the two task analysis methods investigated.
机译：本研究的重点是两种问题解决或任务分析方法的有效性，以增强组织中的知识管理。芋头的方法论是系统思考和Goldratt的思考过程。研究的目的之一是研究两种理论在控制个体差异时在管理任务领域中的有效性。还研究了两种理论之间的协同作用。在这项研究中，知识管理的重点更多地放在人而不是计算机上。作为引言，首先介绍了知识和知识管理的背景知识。在知识管理的上下文中，然后介绍了任务分析或问题解决的主题。；从根本上讲，知识管理与创建明确的过程有关，这些过程可以增强整个组织的知识和学习。知识可以更一般地定义为“任何在领域或学科中增加理解或表现的文本，事实，示例，事件，规则，假设或模型”（Liebowitz和Beckman，1998）。保持这种观点，知识管理被定义为“知识的系统，显式和蓄意的建立，更新和应用，以最大限度地提高企业的知识相关有效性和知识资产的回报”（Liebowitz和Beckman，1998）。对Liebowitz和Beckman而言，知识资产是指嵌入组成特定组织的人力资源中的组织知识。知识管理需要系统地关注学习过程，文化，技术基础设施和度量（Brown and Massey，1999）。由于组织通常由工作组或团队组成，而工作组又由个人组成，因此当我们谈论组织学习或知识管理时，必须在汇总之前进行个人层面的分析。以学生为主体，产生并检验了几种假设。研究结果将帮助管理人员更好地了解所研究的两种任务分析方法的动态。

著录项

  • 作者

    Musa, Philip Fatinganda.;

  • 作者单位

    Texas Tech University.;

  • 授予单位 Texas Tech University.;
  • 学科 Business education.;Industrial arts education.;Occupational psychology.;Management.
  • 学位 Ph.D.
  • 年度 2000
  • 页码 206 p.
  • 总页数 206
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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