在一种对话OD模式(欣赏式探究)中克服了阻力

Q2 Social Sciences

International Journal of Organization Theory and Behavior Pub Date : 2017-12-01 DOI:10.1108/IJOTB-20-01-2017-B001

Anthony H. Schmidt

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引用次数: 2

摘要

这项研究之所以启动，是因为赞赏探究（AI）的从业者灌输了对所需AI结果研究的认识。因此，本研究的目标是确定显著的人工智能过程和杠杆以及人工智能的成功率和失败率。这项研究是针对美国市政当局的，因为一名研究人员在其中发现了人工智能失败的可能性。在直接反对的情况下，从文献中确定了八个美国市政当局在14个项目中使用了人工智能，即使在三个应用中存在阻力，所有项目都取得了成功。一项调查显示，有15项人工智能举措被确定为成功的，即使其中8项存在阻力，也得到了验证。本研究采用了混合方法探索性案例研究设计，按顺序混合，包括文献综述和应用于三个人群的两种独特仪器。

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Resistance is overcome in one dialogic OD model (Appreciative Inquiry)

This study was launched because practitioners of Appreciative Inquiry (AI) instilled awareness for needed AI outcome research. Therefore, the goal of this research was to identify the salient AI processes and levers and the rate of AI success and failure. This study was specific to U.S. municipalities due to a researcher finding AI failure probability therein. In direct opposition, eight U.S. municipalities were identified from the literature as having utilized AI in 14 projects and all were successful even when resistance was present in three applications. A survey revealed 15 AI initiatives identified as successful even when resistance was present in eight, resulting in validation. This study utilized a mixed methods exploratory case study design, sequentially in the mix, consisting of a literature review and application of two unique instruments applied to three populations.

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来源期刊

International Journal of Organization Theory and Behavior Social Sciences-Public Administration

CiteScore

3.20

自引率

0.00%

发文量

期刊介绍： The International Journal of Organization Theory and Behavior brings together researchers and practitioners, both within and outside the United States, who are in the areas of organization theory, management, development, and behavior. This journal covers all private, public and not-for-profit organizations’ theories and behavior.