<p>Antifragility refers to an organization’s capacity to thrive under stressful and chaotic conditions. The theory of antifragility posits that certain systems and organizations not only withstand sudden crises and changes but actually benefit from them. The aim of this study is to construct a comprehensive model for evaluating organizational antifragility. We conducted a primary systematic literature review to identify the essential criteria that underpin organizational antifragility. In this paper, the Pythagorean Fuzzy Step Wise Weight Assessment Ratio Analysis (PF-SWARA) method was employed to assign weights to the criteria. The Pythagorean Fuzzy Combined Compromise Solution (PF-CoCoSo) method was utilized to rank companies. The findings of this study show that the criteria for organizational antifragility manifest across six dimensions, encompassing organizational structure, culture, leadership, risk embracement, learning, processes, and support systems. Risk embracement (weight = 0.206) is the most important criteria in crisis management, and Alyaf Golriz Qom has the highest antifragility score (5.772) among the alternatives. The novelty of this research can be expressed by considering the dimensions of culture and leadership, learning, process, and system support for organizational invulnerability. These dimensions can provide a comprehensive view of the movement of organizations from resilience to antifragility. The current study presents a new way to measure antifragility that takes into account many aspects of an organization and employs the PF method to effectively handle environmental uncertainties. This constitutes a progressive stride towards fostering antifragile organizations, surpassing the realms of resilience and robustness. The results of this research can facilitate the movement of managers towards antifragility by bolstering all facets of the organization to withstand critical stressors and fluctuations.</p>

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Developing a model for the assessment of organizational antifragility based on integrated Pythagorean fuzzy SWARA-CoCoSo methods

  • Zahra Khoshsepehr,
  • Saeed Alinejad

摘要

Antifragility refers to an organization’s capacity to thrive under stressful and chaotic conditions. The theory of antifragility posits that certain systems and organizations not only withstand sudden crises and changes but actually benefit from them. The aim of this study is to construct a comprehensive model for evaluating organizational antifragility. We conducted a primary systematic literature review to identify the essential criteria that underpin organizational antifragility. In this paper, the Pythagorean Fuzzy Step Wise Weight Assessment Ratio Analysis (PF-SWARA) method was employed to assign weights to the criteria. The Pythagorean Fuzzy Combined Compromise Solution (PF-CoCoSo) method was utilized to rank companies. The findings of this study show that the criteria for organizational antifragility manifest across six dimensions, encompassing organizational structure, culture, leadership, risk embracement, learning, processes, and support systems. Risk embracement (weight = 0.206) is the most important criteria in crisis management, and Alyaf Golriz Qom has the highest antifragility score (5.772) among the alternatives. The novelty of this research can be expressed by considering the dimensions of culture and leadership, learning, process, and system support for organizational invulnerability. These dimensions can provide a comprehensive view of the movement of organizations from resilience to antifragility. The current study presents a new way to measure antifragility that takes into account many aspects of an organization and employs the PF method to effectively handle environmental uncertainties. This constitutes a progressive stride towards fostering antifragile organizations, surpassing the realms of resilience and robustness. The results of this research can facilitate the movement of managers towards antifragility by bolstering all facets of the organization to withstand critical stressors and fluctuations.