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Top management team decision-making : a multi-level approach to understanding demographic and cognitive variation, team processes and decision belief.

机译:最高管理团队的决策:了解人口和认知变化,团队流程和决策信念的多层次方法。

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摘要

Based within the 'upper echelons' tradition, the starting premise for this thesis is thatuddemographic attributes such as age, functional background, educational attainment,udgender, and tenure, influence the decisions made by top management teams (TMTs)ud(Pfeffer, 1983; Hambrick & Mason, 1984). Unlike most studies, which use publicudarchival data, artificial teams, or retrospective interviews with a couple of selectedudsenior executives, this research design (which is unprecedented in the TMTudliterature), investigated the decision making processes, in real time, of 23 authenticudand fully functioning TMTs in the UK manufacturing sector using a state-of-the-artudbusiness simulation.udFrom a concentrated literature review which focused exclusively on TMTs,udand disentangled the constructs of dissimilarzfy (individual level differences) anduddiversity (team level differences), a series of propositions were established. Theseudhypothesized that demographic variation would lead to cognitive variation, that bothudthese types of variation would influence team processes, which in turn would affectuddecision belief.udDespite the meticulous precision with which the constructs were measured inudthis research, and even with the application of sophisticated multi-level modelingudtechniques, only limited and sporadic support was observed for these predictions.udAlthough there were slightly more findings than one would expect by chance aloneud(27 from a possible 177), these tended to be isolated and formed no clear pattern.udMoreover, when one went beyond tests of simple statistical significance andudreviewed effect sizes, all 27 results were tiny. The conclusion of this research is thatuddemographic attributes are not nearly as influential in real TMTs as 'upper echelons'udtheory (Hambrick & Mason, 1984) supposes.udIt is argued that the lack of convincing results is due to over-riding andudinherent social factors in authentic TMTs, so that individual demographic differencesudcease to be novel or important during strategic decision-making discussions. Theudpractical, theoretical and methodological implications of retaining the global nulludhypothesis are discussed in the final chapters.
机译:在“上层梯队”传统的基础上,本文的出发点是人口统计属性(例如年龄,功能背景,学历, udgender和任期)会影响高层管理团队(TMT)的决策 ud( (Pfeffer,1983; Hambrick&Mason,1984)。与大多数研究使用公共存档数据,人为团队或对选定的 uds高级管理人员进行回顾性采访的大多数研究不同,该研究设计(在TMT udliterature中是前所未有的)可以实时调查决策过程,使用最新的 udbusiness模拟对23个英国制造行业中真正的 udand功能齐全的TMT进行了分析。 ud从专注于TMT的集中文献综述中, udand弄清了差异(个体差异)的结构。和多样性(团队水平差异),提出了一系列主张。这些假设认为,人口统计学差异会导致认知变异,这两种类型的变异都会影响团队合作,进而影响决策信念。尽管研究中对结构进行了精确的测量,并且即使使用复杂的多级建模 udtechniques,也只能为这些预测提供有限的和零星的支持。 ud尽管发现的结果比偶然的发现要多一点 ud(可能为177,27) ud此外,当一项测试超出简单的统计显着性检验和未审查的效应量检验时,所有27个结果均很小。这项研究的结论是,人口统计属性在实际TMT中的影响力几乎不如“上层梯队”人口论(Hambrick&Mason,1984)所假定。和真正的TMT中固有的社会因素,因此在战略决策讨论中个体人口差异变得新颖或重要。最后几章讨论了保留全局无效假设的 u实践,理论和方法论意义。

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    Swift Tracey Anne;

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