کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
586405 878211 2013 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An assessment of organizational resilience potential in SMEs of the process industry, a fuzzy approach
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بهداشت و امنیت شیمی
پیش نمایش صفحه اول مقاله
An assessment of organizational resilience potential in SMEs of the process industry, a fuzzy approach
چکیده انگلیسی


• We have proposed the model for resilience potential assessment in the process industry.
• The model is presented through the set of indicators which are applied on the level of business processes in an organization.
• The treated problem is stated as a fuzzy multi-criteria task where all of the uncertainties are modeled by fuzzy sets.
• The model is tested on the one small enterprise and analysis of the obtained results is presented.

In order to establish adequate tools for the modern business environment, and with a need for new mechanisms with the goal of overcoming crisis and emerging disorder, the concept of organizational resilience has emerged. A high level of organizational resilience represents one of an organization's target values during a normal period of operation. In a period of crisis, the presence of resilience is even more needed; this is emphasized in the process industry because in these conditions when one process fails it may cause significant problems in other processes. The contribution of this paper is shown through a fuzzy mathematical model for assessment of organizational resilience potential in SMEs of the process industry. The model is verified through an illustrative example where obtained data suggest measures which should enhance business strategy and improve organizational resilience factors. This study forms the basis for a survey that may include a significant number of organizations from one region and future improvement based on benchmark and knowledge sharing.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Loss Prevention in the Process Industries - Volume 26, Issue 6, November 2013, Pages 1238–1245
نویسندگان
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