Recently,gender equality and women’s entrepreneurship have gained considerable attention in global economic development.Prior to the design of any policy interventions to increase women’s entrepreneurship,it is sign...Recently,gender equality and women’s entrepreneurship have gained considerable attention in global economic development.Prior to the design of any policy interventions to increase women’s entrepreneurship,it is significant to comprehend the factors motivating women to become entrepreneurs.The non-understanding of the factors can result in the endurance of low living stan-dards and the design of expensive and ineffectual policies.But female involve-ment in entrepreneurship becomes higher in developing economies compared to developed economies.Women Entrepreneurship Index(WEI)plays a vital role in determining the factors that enable theflourishment of high potential female entrepreneurs which enhances economic welfare and contributes to the economic and social fabric of society.Therefore,it is needed to design an automated and accurate WEI prediction model to improve women’s entrepreneurship.In this view,this article develops an automated statistical analysis enabled WEI predic-tive(ASA-WEIP)model.The proposed ASA-WEIP technique aims to effectually determine the WEI.The proposed ASA-WEIP technique encompasses a series of sub-processes such as pre-processing,WEI prediction,and parameter optimiza-tion.For the prediction of WEI,the ASA-WEIP technique makes use of the Deep Belief Network(DBN)model,and the parameter optimization process takes place using Squirrel Search Algorithm(SSA).The performance validation of the ASA-WEIP technique was executed using the benchmark dataset from the Kaggle repo-sitory.The experimental outcomes stated the better outcomes of the ASA-WEIP technique over the other existing techniques.展开更多
Women entrepreneurship is now a rapidly growing socio-economic phenomenon in developing country like Bangladesh.Women entrepreneurs’development in the SME sector is one of the most important challenge.The research ai...Women entrepreneurship is now a rapidly growing socio-economic phenomenon in developing country like Bangladesh.Women entrepreneurs’development in the SME sector is one of the most important challenge.The research aims to analyze the factors related to the development of women entrepreneurship in Small and Medium Enterprises(SMEs)sector of Bangladesh.The analysis is based on recent theoretical ideas that have been supported by empirical research findings.Both descriptive and inferential statistics were used in this research.To analyze the factors we have interviewed 232 women entrepreneurs of SME businesses.The main tool of research was a structured questionnaire.This study illustrates an analytical framework based on institutional theory,which focuses on three kinds of factors:regulative,normative,and cognitive.Regulative factors refer to different rules and regulations of the Government that facilitate women entrepreneurship development of SMEs sector in Bangladesh.Normative and cognitive factors include norms,rules,regulation,and values of society.This study provides suggestions on how to overcome barriers and also many significant policy implications to improve women entrepreneurship in SMEs sector of Bangladesh.展开更多
文摘Recently,gender equality and women’s entrepreneurship have gained considerable attention in global economic development.Prior to the design of any policy interventions to increase women’s entrepreneurship,it is significant to comprehend the factors motivating women to become entrepreneurs.The non-understanding of the factors can result in the endurance of low living stan-dards and the design of expensive and ineffectual policies.But female involve-ment in entrepreneurship becomes higher in developing economies compared to developed economies.Women Entrepreneurship Index(WEI)plays a vital role in determining the factors that enable theflourishment of high potential female entrepreneurs which enhances economic welfare and contributes to the economic and social fabric of society.Therefore,it is needed to design an automated and accurate WEI prediction model to improve women’s entrepreneurship.In this view,this article develops an automated statistical analysis enabled WEI predic-tive(ASA-WEIP)model.The proposed ASA-WEIP technique aims to effectually determine the WEI.The proposed ASA-WEIP technique encompasses a series of sub-processes such as pre-processing,WEI prediction,and parameter optimiza-tion.For the prediction of WEI,the ASA-WEIP technique makes use of the Deep Belief Network(DBN)model,and the parameter optimization process takes place using Squirrel Search Algorithm(SSA).The performance validation of the ASA-WEIP technique was executed using the benchmark dataset from the Kaggle repo-sitory.The experimental outcomes stated the better outcomes of the ASA-WEIP technique over the other existing techniques.
文摘Women entrepreneurship is now a rapidly growing socio-economic phenomenon in developing country like Bangladesh.Women entrepreneurs’development in the SME sector is one of the most important challenge.The research aims to analyze the factors related to the development of women entrepreneurship in Small and Medium Enterprises(SMEs)sector of Bangladesh.The analysis is based on recent theoretical ideas that have been supported by empirical research findings.Both descriptive and inferential statistics were used in this research.To analyze the factors we have interviewed 232 women entrepreneurs of SME businesses.The main tool of research was a structured questionnaire.This study illustrates an analytical framework based on institutional theory,which focuses on three kinds of factors:regulative,normative,and cognitive.Regulative factors refer to different rules and regulations of the Government that facilitate women entrepreneurship development of SMEs sector in Bangladesh.Normative and cognitive factors include norms,rules,regulation,and values of society.This study provides suggestions on how to overcome barriers and also many significant policy implications to improve women entrepreneurship in SMEs sector of Bangladesh.
