Bhairab Chandra Patra and Usha Lenka
The corona virus outbreak has affected the entrepreneurial ecosystem adversely. This in particular has impacted on females. This study aims to identify the factors affecting the…
Abstract
Purpose
The corona virus outbreak has affected the entrepreneurial ecosystem adversely. This in particular has impacted on females. This study aims to identify the factors affecting the entrepreneurial intention (EI) of females under post-COVID adverse conditions.
Design/methodology/approach
A total of 340 articles were screened applying the preferred reporting items for systematic reviews and meta-analyses method. The EI of individuals undertaking different professional courses from three top National Institute Ranking Framework (NIRF) government institutes were then analyzed. In the expert analysis, the nominal group technique (NGT) and analytic hierarchy process (AHP) were used to identify and rank the crucial factors. Subsequently, in the exploratory analysis, a 19-item questionnaire was framed. The data was analyzed using SmartPLS 3.
Findings
Resilience, entrepreneurial education, self-concept and self-efficacy, social influence and opportunity perception were identified as critical indicators. Resilience was identified as the most significant factor. The partial least square structural equation modeling (PLS-SEM) revealed that all the factors except social influence had significant effect on the EI of females.
Research limitations/implications
This study focuses primarily on factors affecting females in India. As ecosystems and support vary by region and country, the authors suggest that this study be replicated in different regions/countries in the future.
Practical implications
The potential entrepreneurs can use this study's reference to identify the abilities they need. The government and academic institutions can have skill/training programs to enhance the effect of important factors identified in the study.
Originality/value
While there is growing research of entrepreneurship and entrepreneurial marketing post-pandemic, there are a lack of Indian studies and female entrepreneurship studies.
Details
Keywords
Bhairab Chandra Patra and Usha Lenka
The purpose of this article is to (1) map the most important topics in the domain of sustainable business practices for entrepreneurial firms in emerging countries, (2) identify…
Abstract
Purpose
The purpose of this article is to (1) map the most important topics in the domain of sustainable business practices for entrepreneurial firms in emerging countries, (2) identify important terms in the various dimensions of sustainability in business and (3) identify the important practices and prioritize the practices.
Design/methodology/approach
This study has adopted a unique methodology that combines state-of-art scientometric analysis with the fuzzy nominal group technique (NGT) and fuzzy decision-making trial and evaluation laboratory (DEMATEL). Results obtained from the co-occurrence analysis in scientometrics were further mapped through NGT to obtain the list of the most important topics in the domain. The factors affecting sustainable business practices obtained through topic mapping were analyzed through fuzzy DEMATEL to obtain the cause-and-effect relation of variables.
Findings
The scale of firms, leadership, uncertainty, gender, country/location, education and tourism were found to be the factors affecting the sustainable business practices of entrepreneurial firms. The sustainable business practices for entrepreneurial firms were (1) innovation, (2) resilience, (3) policy, (4) business ethics and virtue ethics, (5) business model, (6) upcycling and value creation, (7) collaboration and (8) triple bottom line.
Practical implications
Policymakers in entrepreneurial firms, as well as other organizations, can implement the identified sustainable business practices to obtain optimum results and smooth functioning of the companies. The research framework obtained can be tested using exploratory methods.
Originality/value
Very few researchers have used the technique of scientometric analysis to identify the sustainable business practices of entrepreneurial firms, and to the best of the knowledge of the authors, no earlier researcher has attempted to use the technique of topic mapping, fuzzy NGT and fuzzy DEMATEL in combination.
Details
Keywords
Bhairab Chandra Patra and Usha Lenka
The purpose of this study is to analyze the entrepreneurial intentions (EI) of women to better understand the cognition process of women which will help to identify the reason for…
Abstract
Purpose
The purpose of this study is to analyze the entrepreneurial intentions (EI) of women to better understand the cognition process of women which will help to identify the reason for their inadequate participation in the field of entrepreneurship.
Design/methodology/approach
This study follows the method of a traditional literature survey followed by scientometric analysis to identify the primary factors to the EI of women. The factors obtained from the literature review were provided to the nominal group, and the process of nominal group technique (NGT) was carried out to frame a research framework. The factors were then ranked based on their significance using the analytic hierarchy process (AHP), taking into consideration the review of experts.
Findings
Among the primary factors, personal factors were found to be the most influential factors and weighted 54%. Self-efficacy was found to be the most prominent secondary variable and had a global weight of 22.14%.
Research limitations/implications
The research outcome has implications for policymaking bodies, investors, academicians and potential women entrepreneurs. Future researchers can apply exploratory research methods and confirmatory research methods to test the research framework.
Originality/value
Very few researchers have used the technique of scientometric analysis for the review of literature on EI of women, and to the best of the authors’ knowledge, no earlier researcher has attempted to use the technique of NGT or AHP after scientometric analysis.