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Recognizing complex patterns in unexpected workplace behaviour and events: A grounded theory.

机译：识别意外的工作场所行为和事件中的复杂模式：扎根理论。

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摘要

Often, managers observe unanticipated organizational behaviours and events that make no sense according to set plans, strategies, or objectives. System theorists suggest that this often occurs because of organizations' inherent complexity. Complex systems spontaneously self-organize---without participants' intention or awareness---into potent, unplanned behaviour patterns. Self-organized patterns operate autonomously to organizational intent. As such, they can interfere with managerial directives.; How can managers detect complex, self-organized patterns amidst the apparent chaos of unexpected organizational behaviour? This dissertation presents a grounded theory study of practitioners demonstrating the capacity to identify and understand self-organized dynamics in the workplace. This study combines practical experience of workplace "pattern analysts" with a theoretical foundation grounded in organizational research.; "Self-organized pattern identification and analysis" (SOPIA) begins with the cognitive dissonance occurring when pattern analysts encounter apparently anomalous workplace behaviour. If analysts successfully set aside preconceived notions of what should be occurring to explore what is occurring, a full SOPIA investigation can unfold.; Central to that investigation is discerning coherence, a process aimed at achieving a welcoming cognitive stance enabling analysts to detach from normative expectations about appropriate corporate behaviour, to detect the patterned "logic" in apparently "illogical" group behaviours. This cognitive stance enables analysts to identify analogues---generally from non-business sources---helping them to discern a coherent pattern in unexpected workplace behaviours. The identified pattern becomes a hypothesis which analysts typically test in various ways. Once satisfied that they have accurately understood a pattern, analysts decide how to use their knowledge of a company's self-organized behaviour to try halting or shifting that pattern. Participants in this study reported some notable successes at identifying and shifting damaging workplace patterns that had remained undetected and misunderstood for years. Participants also shared the difficulties of disclosing pattern observations in the workplace.; Theorists suggest that self-organized dynamics often obstruct leaders' attempts to implement organizational change. Detecting self-organized patterns may enable managers to understand what drives organizational behaviour and what hampers organizational transformation. This dissertation describes processes that organizational practitioners have used to understand and manage the self-organized complexities of contemporary workplaces; and it offers propositions for future research.
机译：经理通常会观察到意外的组织行为和事件，这些行为和事件根据既定的计划，策略或目标没有意义。系统理论家认为，这经常是由于组织固有的复杂性而发生的。复杂的系统在没有参与者的意图或意识的情况下自发地自我组织成有效的，计划外的行为模式。自组织模式可根据组织意图自主运行。因此，它们可能会干扰管理指令。在意外的组织行为的明显混乱中，管理者如何发现复杂的，自组织的模式？本论文提出了对从业人员的扎根理论研究，证明了他们具有识别和理解工作场所自我组织动力的能力。该研究将工作场所“模式分析师”的实践经验与基于组织研究的理论基础相结合。 “自组织模式识别和分析”（SOPIA）始于模式分析人员遇到明显异常的工作场所行为时发生的认知失调。如果分析人员成功地搁置了关于应该发生的事情的先入为主的概念以探索正在发生的事情，那么完整的SOPIA调查就可以展开。该调查的核心是辨别一致性，该过程旨在实现一种欢迎的认知态度，使分析师能够脱离对适当公司行为的规范期望，从而发现明显的“不合逻辑”群体行为中的“逻辑”模式。这种认知立场使分析师能够识别出类似物（通常是从非商业来源获得），从而帮助他们识别出意外的工作场所行为中的连贯模式。识别出的模式成为假设，分析师通常会以各种方式对其进行测试。一旦对他们已经正确理解了一种模式感到满意，分析师就会决定如何利用他们对公司自组织行为的了解来尝试停止或改变这种模式。这项研究的参与者报告说，在识别和转移破坏性工作场所模式方面取得了一些显著成功，这些模式多年来一直未被发现和误解。与会者还分享了在工作场所公开模式观察的困难。理论家认为，自组织的动力常常会阻碍领导人实施组织变革的尝试。检测自组织模式可以使管理人员了解驱动组织行为的因素和阻碍组织转型的因素。本文描述了组织从业人员用来理解和管理现代工作场所的自组织复杂性的过程。它为将来的研究提供了建议。

著录项

  • 作者

    Buckle, Pamela Marie.;

  • 作者单位

    University of Calgary (Canada).;

  • 授予单位 University of Calgary (Canada).;
  • 学科 Business Administration Management.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 368 p.
  • 总页数 368
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 贸易经济;
  • 关键词

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