Abstract
PurposeThe purpose of this paper is to find and prioritize human factors affecting entrepreneurial resilience.Design/methodology/approachThe statistical population consists of prominent Iranian university professors in this field, and the statistical sample is ten of them randomly. A researcher-made questionnaire was used for data collection. After a comprehensive review of the theoretical foundations, the research model was formed with 5 main indices and 21 sub-indices. Fuzzy decision-making trial and evaluation laboratory (DEMATEL)-based (DANP) technique and MATLAB software was used for analysis.FindingsIndicators of Values and Beliefs (A3) and Motivation Index (E5) as Influential Indicators and indicators of personal attributes (S1), formal and informal relationships (R2) and human capital (C4) are effective indicators of entrepreneurial resilience. In the final rankings, formal and informal relationships had the highest weight with 0.263 and the lowest with priority and motivation index with 0.080. In addition to the final rankings of the sub-indices, the indicators of first-hand experience, recognition of opportunities and consulting services were given the highest weight.Practical implicationsThis study proposes that resilience is a real-life process and not just a list of each characteristic. All human beings have an innate ability to be resilient, but resilience is a learned and learned behavior, and the emphasis of experts is on the learning of various resilience skills.Originality/valueThis study contributes to the field of entrepreneurship by examining the institutional backgrounds of entrepreneurship resilience.
Highlights
In the third wave book, according to Toffler (1980), the history of human societies is divided into three categories: traditional society, industrial society, and information society
Phase I: research identifies entrepreneurial resilience indicators and model outlines and phases II: Determine the total relationships between dimensions and components and find the intensity and effectiveness of the components and rank them using Fuzzy DANP Method (MATLAB software was used at this stage)
In this study, a fuzzy multi-criteria decision-making model with decision-making trial and evaluation laboratory (DEMATEL) based on analytic network process (ANP) method was used to find and rank human factors affecting entrepreneurship resilience; to help investors and decision-makers make decisions; and all research target groups can make the best use of it
Summary
In the third wave book, according to Toffler (1980), the history of human societies is divided into three categories: traditional society, industrial society, and information society. The information society is divided into three categories: digital revolution (wireless and satellite systems), internet revolution, and entrepreneurial revolution. Kuratko and Hodgetts (1989) believe that the entrepreneurial revolution can be far more important than the industrial revolution. Because in today’s complicated and difficult conditions, the link between entrepreneurship and adaptation to change is inevitable. Published in Asia Pacific Journal of Innovation and Entrepreneurship. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode
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