Chaos and Organizational Emergence: Towards Short Term Predictive Modeling to Navigate a Way Out of Chaos

Sami A. Houry
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引用次数: 8

Abstract

Organizational emergence from chaotic events has often been described as unpredictable and random, at least when observed over the long term. Through a literature review this paper paves the path for the possible development of a forecasting model for making short term predictions during chaotic events so as to assist business practitioners in navigating their way out of chaos, thereby facilitating organizational emergence. As such, the paper builds on chaos and complexity theory, as its foundational theory, and identifies the most important factors and mechanisms cited in current literature that influence organizational emergence so as to potentially incorporate the factors in the future development of a short term forecasting model.

混乱与组织涌现:走向短期预测模型以走出混乱
从混乱事件中出现的组织通常被描述为不可预测和随机的,至少从长期观察来看是这样。通过文献综述,本文为在混乱事件中进行短期预测的预测模型的可能发展铺平了道路,以帮助商业从业者走出混乱,从而促进组织的出现。因此,本文以混沌和复杂性理论为基础理论,识别当前文献中引用的影响组织涌现的最重要因素和机制,以便在未来发展的短期预测模型中潜在地纳入这些因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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