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Dynamics of Managerial Interventionin Complex Systems

机译:复杂系统中管理干预的动力学

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Research, as well as decades of working with managers from diverse cultures, nationalities,and industries, has exposed consistent counter productive patterns of behaviour in relation todecision making in complex systems. In this regard, managers appear to exhibit anunmistakeable tendency to “over intervene” in the systems (companies, organizations,communities, etc) for which they are responsible hence generating unnecessary fluctuationsand instability in their organizations. Maani, et al (2004), and Sterman, et al (1989; 2000)have studied these phenomena in experimental and simulated environments respectively.Anecdotal evidence, as well as research results, highlights a number of mental models andassumptions commonly held by managers. These are outlined below:1. Dramatic change should lead to dramatic (positive) results. Our research shows thatoften the opposite happens.2. The more change initiatives (interventions), the better the results. Again our researchshows that “over-intervention” is counter-productive.3. Managers often ignore “soft” variables (eg, morale, stress, burnout, loyalty, etc) to thedetriment of their organizations. Yet, “soft” variables are powerful predictors of longtermperformance.4. Managers are often oblivious to “systems delays”. Lack of awareness/attention todelay undermines performance and inhibits system stability.5. Organizations and managers often judge performance by short-term results.Experience shows that expectation of short-term results is unrealistic and misleadingand can lead to counteracting outcomes as performance often declines before itimproves.6. Organizations and managers tend to use too many performance measures (ie, KPIs).As what gets measured impacts performance, excessive and misguided measures canlead to poor results and unexpected consequences.7. Managers generally focus on “what to dos”. It is not enough to know what needs tobe done. Order and timing of actions are as important as the actions themselves.The propositions and observations outlined above collectively form the research questionsposed in this paper: “How do the style (extent) and frequency of change and theinterpretation of feedback affect the outcomes of interventions in organizations?” In thisresearch, realistic simulation models of organizations (Microworlds) are employed as proxyfor complex systems. Research subjects comprise MBA and graduate business students andpracticing managers. The paper deals with systems thinking theory and practice in complexdecision-making and their implications for transforming managers and organizations toachieve sustainable success.
机译:研究以及与来自不同文化,国籍, 和行业,已经暴露出与之相关的一致的适得其反的行为模式 复杂系统中的决策。在这方面,经理似乎表现出了 在系统中“过度干预”的绝对趋势(公司,组织, 他们负责的社区等),从而产生不必要的波动 和他们组织中的不稳定。 Maani等人(2004)和Sterman等人(1989; 2000) 我们分别在实验和模拟环境中研究了这些现象。 轶事证据以及研究结果突出了许多心理模型和 经理通常持有的假设。这些概述如下: 1.戏剧性的变化应该导致戏剧性的(积极的)结果。我们的研究表明 通常情况恰恰相反。 2.变革举措(干预措施)越多,结果越好。再次我们的研究 表明“过度干预”适得其反。 3.管理者经常忽略“软”变量(例如,士气,压力,倦怠,忠诚度等)。 损害他们的组织。但是,“软”变量是长期预测的有力预测指标 表现。 4.经理们常常忽略了“系统延迟”。缺乏认识/关注 延迟会降低性能并抑制系统稳定性。 5.组织和管理人员通常根据短期结果来判断绩效。 经验表明,对短期结果的期望是不现实和误导的 并可能导致结果抵消,因为效果通常会在此之前下降 改善。 6.组织和管理人员倾向于使用过多的绩效指标(即KPI)。 当所测量的内容影响性能时,过度和误导性的措施可能会 导致不良结果和意想不到的后果。 7.管理人员通常将重点放在“要做的事情”上。仅仅知道需要做什么是不够的 完成。动作的顺序和时机与动作本身一样重要。 上面概述的命题和观察共同构成了研究问题 在本文中提出:“样式(范围)和变更频率以及 反馈的解释会影响组织干预的结果吗?”在这个 研究中,采用组织(Microworlds)的逼真的模拟模型作为代理 适用于复杂的系统。研究主题包括MBA和商科研究生,以及 执业经理。该文讨论了复杂系统思维的理论与实践。 决策及其对将经理和组织转变为 取得可持续的成功。

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