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The complexity systems management method: A next-generation decision support tool for the management of complex challenges at institutions of higher education.

机译:复杂性系统管理方法:下一代决策支持工具,用于管理高等教育机构中的复杂挑战。

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摘要

This research study is based on the hypothesis that new knowledge has arisen from scientific breakthroughs in our understanding of naturally occurring complex systems that can increase the human understanding of complex systems and improve the management of complex events and situations. This includes the complex interdependent systems that characterize modern institutions of higher education. Based on the review and study of the scholarly literature, the different frames of reference used to conceive, understand, and explain the positivist and post-positivist epistemologies of science are triangulated. The frames of reference for the two epistemologies are then compared and contrasted with four scientific theories that have lead to breakthroughs in our understanding of complex naturally occurring systems. The results of this analysis are used to identify those frames of reference arising from the study of the scientific theories that are not reflected in either the positivist or post-positivist epistemologies. The study of the scholarly literature shows that there is a disparity between the frames of reference used to conceive, understand, and explain the scientific theories and the positivist and post-positivist epistemologies. Based on this disparity, the research study suggests that there is new knowledge arising from scientific breakthroughs in our understanding of naturally occurring complex systems that is not reflected in either the positivist or post-positivist epistemologies of science. The study concludes that this new knowledge has led to the emergence of a more advanced epistemology known as a priori optionality that can improve the human management of complex events and situations. A new process, based on the tenets of a priori optionality, known as the complexity systems management method, to enhance human learning and decision making in the management of complex events and situations is described. The research study concludes with a description of the application of the complexity systems management method as a way more effectively integrate strategic plans with the operational budget outcomes at institutions of higher education.
机译:这项研究基于以下假设:在对自然发生的复杂系统的理解中,科学突破已经产生了新的知识,这些知识可以增强人类对复杂系统的理解,并改善对复杂事件和情况的管理。这包括代表现代高等教育机构的复杂的相互依存的系统。在对学术文献进行回顾和研究的基础上,对用来构想,理解和解释科学的实证主义和后实证主义认识论的不同参考框架进行了三角划分。然后将这两种认识论的参考框架与四种科学理论进行比较和对比,这四种科学理论在我们对复杂的自然系统的理解上取得了突破。这种分析的结果被用来确定那些从科学理论的研究中得出的,没有在实证主义或后实证主义认识论中得到反映的参考框架。对学术文献的研究表明,用于构想,理解和解释科学理论与实证主义和后实证主义认识论的参照系之间存在差异。基于这种差异,研究表明,在我们对自然发生的复杂系统的理解中,科学突破产生了新的知识,而科学的实证主义或后实证主义认识论都没有体现这些新知识。该研究得出的结论是,这种新知识导致出现了一种更高级的认识论,即所谓的先验选择性,可以改善人类对复杂事件和情况的管理。描述了一种基于先验可选项的原理的新过程,该过程称为复杂性系统管理方法,用于增强人类在复杂事件和情况的管理中的学习和决策能力。该研究结论以对复杂性系统管理方法的应用进行了描述,该方法是一种将战略计划与高等教育机构的运营预算成果更有效地整合的方法。

著录项

  • 作者

    Hnatio, John.;

  • 作者单位

    The George Washington University.;

  • 授予单位 The George Washington University.;
  • 学科 Education Administration.;History of Science.;Education Philosophy of.
  • 学位 Ed.D.
  • 年度 2006
  • 页码 269 p.
  • 总页数 269
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 教育;教育;自然科学史;
  • 关键词

  • 入库时间 2022-08-17 11:40:11

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