NEW MODEL FOR MAKING RESILIENT DECISIONS IN AN UNCERTAIN CONTEXT: THE RATIONAL RESILIENCE BASED DECISION MAKING MODEL (R2DM)

被引:0
作者
Said S. [1 ]
Bouloiz H. [1 ]
Gallab M. [2 ]
机构
[1] Ibn Zohr University, ENSA Agadir
[2] MIS-LISTD Laboratory, Computer Science Department, Mines-Rabat School (ENSMR), Rabat
来源
Decision Making: Applications in Management and Engineering | 2023年 / 6卷 / 01期
关键词
Decision-making; Effectuation; Entrepreneurship; Resilience; Uncertainty;
D O I
10.31181/dmame0601051229022s
中图分类号
学科分类号
摘要
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. © 2023 by the authors.
引用
收藏
页码:34 / 56
页数:22
相关论文
共 44 条
[1]  
Abzug Z. M., The neurocomputational basis of serial decision-making, DukeSpace, (2017)
[2]  
Akinboye A., Morrish S. C., Conceptualizing post-disaster entrepreneurial decision-making: Prediction and control under extreme environmental uncertainty, International Journal of Disaster Risk Reduction, (2022)
[3]  
Aldianto L., Anggadwita G., Permatasari A., Mirzanti I. R., Williamson I. O., Toward a business resilience framework for startups, Sustainability, 13, 6, (2021)
[4]  
Branicki L. J., Sullivan-Taylor B., Livschitz S. R., How entrepreneurial resilience generates resilient smes, International Journal of Entrepreneurial Behavior & Research, 24, 7, pp. 1244-1263, (2017)
[5]  
Cardon M. S., Stevens C. E., Managing human resources in small organizations: What do we know?, Human Resource Management Review, 14, 3, pp. 295-323, (2004)
[6]  
Chrisman J. J., Chua J. H., Steier L. P., Resilience of family firms: An introduction, Entrepreneurship Theory and Practice, 35, 6, pp. 1107-1119, (2011)
[7]  
Curran S., The impact of the recession on companies' strategies in the Irish airline industry, Researchgate, (2010)
[8]  
d'Andria A., Gabarret I., Vedel B., Resilience and effectuation for a successful business takeover, International Journal of Entrepreneurial Behavior & Research, 24, 7, pp. 1200-1221, (2018)
[9]  
De Winnaar K., Scholtz F., Entrepreneurial decision-making: New Conceptual Perspectives, Management Decision, 58, 7, pp. 1283-1300, (2019)
[10]  
El Bouchefry K., de Souza R. S., Learning in big data: Introduction to machine learning, Knowledge Discovery in Big Data from Astronomy and Earth Observation, pp. 225-249, (2020)