达特茅斯代写Essay:技术管理

2017-06-06 00:54

而技术管理继续由二战后的战略理论集中在技术产品的影响，Garud Rappa是什么（1991）确定为理念，制度化的共享认知宏观层面将继续占主导地位。技术门将在国防部将保留过时的方法，了解什么是技术管理，以及如何可以应用于对抗当前的威胁。虽然是复杂性理论被应用到这些不同的元素，为石油工业的证据（Pascale，1999）和教育理念（彼得斯，2008），这是一个知识差距是如何被应用到影响在情报相关的采购技术管理。本文将探讨的想法，动态平衡（在冷战时期流行的）不再是智能相关技术发展的有效理论，在考虑非对称社会恐怖组织的威胁。在2009，Geraint Evans对最近的恐怖暴行的情报失误。然而，他的主要研究中心和智能建筑集成应用，仍然专注于技术的假象，而在不知不觉中增强的假设基于第十九世纪牛顿物理学及相关原因和影响的独裁者。这只是一个例子，在很多，最近的工作一直试图解决智能故障事件，而未能识别和利用Pascale所谓的下一个大想法，复杂性理论。
达特茅斯代写Essay:技术管理
Whilst technology management continues to be influenced by post World War II strategic theories concentrating on technology as artefact, what Garud and Rappa (1991) identified as ideas that are institutionalization at the macro level of shared cognition will continue to dominate. Technological gate-keepers within the MoD will retain outdated methods of understanding what technology management is, and how it can be applied to counter the current threat. Although there is evidence of complexity theory being applied to such diverse elements as the oil industry (Pascale, 1999) and the philosophy of education (Peters, 2008), there is a gap in knowledge of how it might be applied to influence technology management within intelligence related procurement. This paper will explore the idea that dynamic equilibrium (prevalent during the cold war era) no-longer remains a valid theory for intelligence related technological development when considering the threat posed by asymmetric societal-terrorist groups.As recent as 2009, Geraint Evans examined intelligence failures in the light of recent terrorist atrocities. However, his primary investigation centred on the application and integration of intelligence architecture, still concentrating on technology as artefact, whilst unknowingly reinforcing assumptions based on 19th century Newtonian physics and the associated cause and effect dictat. This is just one example amongst many whereby recent work has sought to address incidents of intelligence breakdown, whilst failing to identify and exploit what Pascale calls the next big idea- complexity theory.

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