New model for making resilient decisions in an uncertain context: The rational resilience-based decision-making model (R2DM)

Q1 Decision Sciences
Saloua Said, Hafida Bouloiz, M. Gallab
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引用次数: 8

Abstract

The present paper came into existence with the specific purpose of providing an optimized process that enables making resilient decisions in an uncertain context, and here our interest is particularly focused on the activity of new venture creation and on the entrepreneurial decision-making logic, in particular, effectuation theory. Within this framework, the rational resilience-based decision-making model (R2DM) is introduced. The relevant steps of this model are: (1) The identification of the problem and the available options. In this instance, the studied situation is the effectual customer co-creation case, and the available alternatives are planning, visionary, adaptative and transforming approaches, (2) The definition of the selection criteria that should be used to evaluate the available alternatives. In our case, these criteria are the six principles of entrepreneurial resilience, which are set out in detail, (3) The choice of the methodology to be followed in assessing the available options. To that end, three interconnected methods, based mainly on logical thinking and reasoning, are proposed. They are respectively devoted to Entrepreneurial resilience (ER) calculation, options classification using logistic regression algorithm, and the determination of the most resilient route to reach objectives employing graph theory. The obtained results are compared to what is advocated in the literature and conclusions are made.
不确定环境下弹性决策的新模型:基于理性弹性的决策模型(R2DM)
本论文的存在是为了提供一个优化的过程,使在不确定的背景下做出有弹性的决策,在这里,我们的兴趣特别集中在新的创业创造活动和创业决策逻辑上,特别是效果理论。在此框架下,引入了基于理性弹性的决策模型(R2DM)。该模型的相关步骤是:(1)问题的识别和可用的选项。在这种情况下,研究的情况是有效的客户共同创造案例,可用的替代方案是计划,远见,适应性和转换方法。(2)应用于评估可用替代方案的选择标准的定义。在我们的案例中,这些标准是企业家弹性的六个原则,这些原则被详细列出;(3)在评估可用选项时要遵循的方法选择。为此,提出了三种相互关联的方法,主要以逻辑思维和推理为基础。他们分别致力于创业弹性(ER)计算,使用逻辑回归算法的选项分类,以及利用图论确定最具弹性的路径来达到目标。将所得结果与文献中所提倡的结果进行比较,并得出结论。
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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来源期刊
Decision Making Applications in Management and Engineering
Decision Making Applications in Management and Engineering Decision Sciences-General Decision Sciences
CiteScore
14.40
自引率
0.00%
发文量
35
审稿时长
14 weeks
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