确定产业发展速度的框架与评价模型

Krip Metanantakul, Ronald Vatananan-Thesenvitz, Dongcheol Heo
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引用次数: 3

摘要

对于任何组织来说,确保其生存的重要技能是将其内部能力与业务环境的外部需求相匹配的能力。不幸的是,大多数公司不能理解什么是他们的商业环境的实际需求,因为变化是意外和模糊的。因此,许多研究人员试图建立理论和模型来评估组织商业环境的变化。环境速度是一种理论,可以帮助学术界和实践者理解组织所处行业的变化。环境速度评估特定行业的变化速度和方向,将其分为低、中、高速度。了解一个组织的商业环境的速度将有助于管理层制定一个合适的策略,可以有效地处理他们行业的变化。本文的研究目的是开发一种环境流速的定量测量工具。目前,现有的评价模型大多是定性的,对速度的判断是基于意见的。为了构建速度评价模型,本研究将考察不同行业的相关标准及其对环境速度的相对影响。有了这样的评估模型,组织就能够为其业务环境的变化做好准备,从而减少与之相关的一些不确定性和风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Framework and Evaluation Model to Determine Industry Velocity
An important skill for any organization to secure their survival is an ability to match their internal capabilities with external demands of their business environment. Unfortunately, most firms fail to understand what is really a factual demand of their business environment, since changes occur unexpectedly and ambiguously. As a result, numerous researchers are trying to build theories and models that can evaluate changes in the business environment of an organization. Environmental velocity is one theory that can help both academics and practitioners to understand changes in the industry an organization operates in. Environmental velocity assesses the rate and direction of change for a given industry, to classify it into low, medium or high velocity. Understanding the velocity of an organization's business environment will help management to develop a suitable strategy that can effectively handle the changes in their industry. The purpose of the research proposed in this paper is to develop a quantitative measurement tool for environmental velocity. At present, most of the existing assessment models are qualitative in nature, where the judgment of velocity is based on opinion. To build a velocity assessment model, the proposed research is going to examine relevant criteria and their relative effect on environmental velocity across industries with different velocities. With such an assessment model organizations are able to prepare themselves for changes in their business environment and thus reduce some of the uncertainties and risks associated with them.
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