Modelling the critical success factors of women entrepreneurship using fuzzy AHP framework
Purpose The contribution of women toward entrepreneurial activities has gained significant attention in recent years because of economic and social concerns, government support and initiatives and increased education and awareness. Women’s entrepreneurial activity has increased and women-owned busin...
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Veröffentlicht in: | Journal of entrepreneurship in emerging economies 2018-01, Vol.10 (1), p.81-116 |
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creator | Amrita, Kumari Garg, Chandra Prakash Singh, Saumya |
description | Purpose
The contribution of women toward entrepreneurial activities has gained significant attention in recent years because of economic and social concerns, government support and initiatives and increased education and awareness. Women’s entrepreneurial activity has increased and women-owned businesses can today be found in every sector of the economy, irrespective of region. In India, government bodies such as the Ministry of Micro, Small and Medium Enterprises (MSMEs) and several other organizations (private and NGOs) have adopted considerable measures to promote women entrepreneurship (WE). To improve WE, the critical factors of WE adoption need to be identified and evaluated. The purpose of this paper is to identify, prioritize and evaluate the critical success factors of WE adoption in Indian MSMEs.
Design/methodology/approach
This paper proposes a methodology based on fuzzy analytical hierarchal process to prioritize the critical success factors of WE adoption. A numerical analysis of Indian MSMEs is presented to demonstrate the use of the proposed method. This proposed method considered fuzzy framework, which can handle impreciseness and uncertainty. Sensitivity analysis is also performed to test the robustness of the proposed model.
Findings
Potential critical success factors are identified from relevant literature and validated by industry experts. This research finalize the critical success factors of WE adoption in Indian MSMEs under seven dimensions, so prioritization of identified critical success factors can be developed and insights relationship of factors would be explored. The results of the study found that individual, management and government dimensions take paramount importance while women aim to become entrepreneurs in Indian MSMEs.
Research limitations/implications
This study is limited to identifying evaluation factors; other factors have not been identified and categorized. Evaluation is one by experts in this area so it is natural that views of decision-makers may be subjective and vary with regard to industry-type, priorities, resources, etc.
Practical implications
This study will help industry to identify, evaluate and prioritize factors for successful implementation of women entrepreneurship. MSMEs could device these factors by applying the outcome of the study in their decisions with higher priority to implement women entrepreneurship culture.
Originality/value
Potential factors are identified from relevant literature and va |
doi_str_mv | 10.1108/JEEE-03-2017-0017 |
format | Article |
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The contribution of women toward entrepreneurial activities has gained significant attention in recent years because of economic and social concerns, government support and initiatives and increased education and awareness. Women’s entrepreneurial activity has increased and women-owned businesses can today be found in every sector of the economy, irrespective of region. In India, government bodies such as the Ministry of Micro, Small and Medium Enterprises (MSMEs) and several other organizations (private and NGOs) have adopted considerable measures to promote women entrepreneurship (WE). To improve WE, the critical factors of WE adoption need to be identified and evaluated. The purpose of this paper is to identify, prioritize and evaluate the critical success factors of WE adoption in Indian MSMEs.
Design/methodology/approach
This paper proposes a methodology based on fuzzy analytical hierarchal process to prioritize the critical success factors of WE adoption. A numerical analysis of Indian MSMEs is presented to demonstrate the use of the proposed method. This proposed method considered fuzzy framework, which can handle impreciseness and uncertainty. Sensitivity analysis is also performed to test the robustness of the proposed model.
Findings
Potential critical success factors are identified from relevant literature and validated by industry experts. This research finalize the critical success factors of WE adoption in Indian MSMEs under seven dimensions, so prioritization of identified critical success factors can be developed and insights relationship of factors would be explored. The results of the study found that individual, management and government dimensions take paramount importance while women aim to become entrepreneurs in Indian MSMEs.
Research limitations/implications
This study is limited to identifying evaluation factors; other factors have not been identified and categorized. Evaluation is one by experts in this area so it is natural that views of decision-makers may be subjective and vary with regard to industry-type, priorities, resources, etc.
Practical implications
This study will help industry to identify, evaluate and prioritize factors for successful implementation of women entrepreneurship. MSMEs could device these factors by applying the outcome of the study in their decisions with higher priority to implement women entrepreneurship culture.
Originality/value
Potential factors are identified from relevant literature and validated by industry experts. Indian MSMEs could device these factors by applying the outcome of the study in their decisions with higher priority to adopt women entrepreneurship.</description><identifier>ISSN: 2053-4604</identifier><identifier>EISSN: 2053-4612</identifier><identifier>DOI: 10.1108/JEEE-03-2017-0017</identifier><language>eng</language><publisher>Bingley: Emerald Publishing Limited</publisher><subject>Customer relationship management ; Decision makers ; Decision making ; Education ; Entrepreneurs ; Entrepreneurship ; Experts ; Five year plans ; Fuzzy sets ; Industrialized nations ; Informal economy ; Information technology ; Knowledge management ; NGOs ; Nongovernmental organizations ; Robustness ; Self employment ; Sensitivity analysis ; Small & medium sized enterprises-SME ; Small business ; Social entrepreneurship ; Startups ; Success factors ; Technology adoption ; Uncertainty ; Women ; Women owned businesses</subject><ispartof>Journal of entrepreneurship in emerging economies, 2018-01, Vol.10 (1), p.81-116</ispartof><rights>Emerald Publishing Limited</rights><rights>Emerald Publishing Limited 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c314t-63b01e01b7d2bfdba7c2d014537291c688c85fc8fe42b8c69fe741594f35c5273</citedby><cites>FETCH-LOGICAL-c314t-63b01e01b7d2bfdba7c2d014537291c688c85fc8fe42b8c69fe741594f35c5273</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.emerald.com/insight/content/doi/10.1108/JEEE-03-2017-0017/full/html$$EHTML$$P50$$Gemerald$$H</linktohtml><link.rule.ids>314,778,782,964,11622,21682,27911,27912,52676,53231</link.rule.ids></links><search><creatorcontrib>Amrita, Kumari</creatorcontrib><creatorcontrib>Garg, Chandra Prakash</creatorcontrib><creatorcontrib>Singh, Saumya</creatorcontrib><title>Modelling the critical success factors of women entrepreneurship using fuzzy AHP framework</title><title>Journal of entrepreneurship in emerging economies</title><description>Purpose
The contribution of women toward entrepreneurial activities has gained significant attention in recent years because of economic and social concerns, government support and initiatives and increased education and awareness. Women’s entrepreneurial activity has increased and women-owned businesses can today be found in every sector of the economy, irrespective of region. In India, government bodies such as the Ministry of Micro, Small and Medium Enterprises (MSMEs) and several other organizations (private and NGOs) have adopted considerable measures to promote women entrepreneurship (WE). To improve WE, the critical factors of WE adoption need to be identified and evaluated. The purpose of this paper is to identify, prioritize and evaluate the critical success factors of WE adoption in Indian MSMEs.
Design/methodology/approach
This paper proposes a methodology based on fuzzy analytical hierarchal process to prioritize the critical success factors of WE adoption. A numerical analysis of Indian MSMEs is presented to demonstrate the use of the proposed method. This proposed method considered fuzzy framework, which can handle impreciseness and uncertainty. Sensitivity analysis is also performed to test the robustness of the proposed model.
Findings
Potential critical success factors are identified from relevant literature and validated by industry experts. This research finalize the critical success factors of WE adoption in Indian MSMEs under seven dimensions, so prioritization of identified critical success factors can be developed and insights relationship of factors would be explored. The results of the study found that individual, management and government dimensions take paramount importance while women aim to become entrepreneurs in Indian MSMEs.
Research limitations/implications
This study is limited to identifying evaluation factors; other factors have not been identified and categorized. Evaluation is one by experts in this area so it is natural that views of decision-makers may be subjective and vary with regard to industry-type, priorities, resources, etc.
Practical implications
This study will help industry to identify, evaluate and prioritize factors for successful implementation of women entrepreneurship. MSMEs could device these factors by applying the outcome of the study in their decisions with higher priority to implement women entrepreneurship culture.
Originality/value
Potential factors are identified from relevant literature and validated by industry experts. Indian MSMEs could device these factors by applying the outcome of the study in their decisions with higher priority to adopt women entrepreneurship.</description><subject>Customer relationship management</subject><subject>Decision makers</subject><subject>Decision making</subject><subject>Education</subject><subject>Entrepreneurs</subject><subject>Entrepreneurship</subject><subject>Experts</subject><subject>Five year plans</subject><subject>Fuzzy sets</subject><subject>Industrialized nations</subject><subject>Informal economy</subject><subject>Information technology</subject><subject>Knowledge management</subject><subject>NGOs</subject><subject>Nongovernmental organizations</subject><subject>Robustness</subject><subject>Self employment</subject><subject>Sensitivity analysis</subject><subject>Small & medium sized enterprises-SME</subject><subject>Small business</subject><subject>Social entrepreneurship</subject><subject>Startups</subject><subject>Success factors</subject><subject>Technology adoption</subject><subject>Uncertainty</subject><subject>Women</subject><subject>Women owned businesses</subject><issn>2053-4604</issn><issn>2053-4612</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkE1Lw0AQhhdRsNT-AG8LnqP7mWyOpcQvKnrQi5cl2cza1CQbdxNK--tNqAiCl3nn8D4z8CB0Sck1pUTdPGZZFhEeMUKTiIzjBM0YkTwSMWWnvzsR52gRwpaMFSalSskMvT-5Euq6aj9wvwFsfNVXJq9xGIyBELDNTe98wM7inWugxdD2HjoPLQw-bKoOD2GC7XA47PHy_gVbnzewc_7zAp3ZvA6w-Mk5ervNXlf30fr57mG1XEeGU9FHMS8IBUKLpGSFLYs8MawkVEiesJSaWCmjpDXKgmCFMnFqIRFUpsJyaSRL-BxdHe923n0NEHq9dYNvx5d6FCI4VzLmY4seW8a7EDxY3fmqyf1eU6Ini3qyqAmfoERPFkeGHBlowOd1-S_yRzz_BsLvc4U</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Amrita, Kumari</creator><creator>Garg, Chandra Prakash</creator><creator>Singh, Saumya</creator><general>Emerald Publishing Limited</general><general>Emerald Group Publishing Limited</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X5</scope><scope>7XB</scope><scope>8BJ</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FQK</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>JBE</scope><scope>K6~</scope><scope>L.-</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PADUT</scope><scope>PQBIZ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20180101</creationdate><title>Modelling the critical success factors of women entrepreneurship using fuzzy AHP framework</title><author>Amrita, Kumari ; Garg, Chandra Prakash ; Singh, Saumya</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c314t-63b01e01b7d2bfdba7c2d014537291c688c85fc8fe42b8c69fe741594f35c5273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Customer relationship management</topic><topic>Decision makers</topic><topic>Decision making</topic><topic>Education</topic><topic>Entrepreneurs</topic><topic>Entrepreneurship</topic><topic>Experts</topic><topic>Five year plans</topic><topic>Fuzzy sets</topic><topic>Industrialized nations</topic><topic>Informal economy</topic><topic>Information technology</topic><topic>Knowledge management</topic><topic>NGOs</topic><topic>Nongovernmental organizations</topic><topic>Robustness</topic><topic>Self employment</topic><topic>Sensitivity analysis</topic><topic>Small & medium sized enterprises-SME</topic><topic>Small business</topic><topic>Social entrepreneurship</topic><topic>Startups</topic><topic>Success factors</topic><topic>Technology adoption</topic><topic>Uncertainty</topic><topic>Women</topic><topic>Women owned businesses</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Amrita, Kumari</creatorcontrib><creatorcontrib>Garg, Chandra Prakash</creatorcontrib><creatorcontrib>Singh, Saumya</creatorcontrib><collection>CrossRef</collection><collection>Entrepreneurship Database</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>ProQuest One Business</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Journal of entrepreneurship in emerging economies</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Amrita, Kumari</au><au>Garg, Chandra Prakash</au><au>Singh, Saumya</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modelling the critical success factors of women entrepreneurship using fuzzy AHP framework</atitle><jtitle>Journal of entrepreneurship in emerging economies</jtitle><date>2018-01-01</date><risdate>2018</risdate><volume>10</volume><issue>1</issue><spage>81</spage><epage>116</epage><pages>81-116</pages><issn>2053-4604</issn><eissn>2053-4612</eissn><abstract>Purpose
The contribution of women toward entrepreneurial activities has gained significant attention in recent years because of economic and social concerns, government support and initiatives and increased education and awareness. Women’s entrepreneurial activity has increased and women-owned businesses can today be found in every sector of the economy, irrespective of region. In India, government bodies such as the Ministry of Micro, Small and Medium Enterprises (MSMEs) and several other organizations (private and NGOs) have adopted considerable measures to promote women entrepreneurship (WE). To improve WE, the critical factors of WE adoption need to be identified and evaluated. The purpose of this paper is to identify, prioritize and evaluate the critical success factors of WE adoption in Indian MSMEs.
Design/methodology/approach
This paper proposes a methodology based on fuzzy analytical hierarchal process to prioritize the critical success factors of WE adoption. A numerical analysis of Indian MSMEs is presented to demonstrate the use of the proposed method. This proposed method considered fuzzy framework, which can handle impreciseness and uncertainty. Sensitivity analysis is also performed to test the robustness of the proposed model.
Findings
Potential critical success factors are identified from relevant literature and validated by industry experts. This research finalize the critical success factors of WE adoption in Indian MSMEs under seven dimensions, so prioritization of identified critical success factors can be developed and insights relationship of factors would be explored. The results of the study found that individual, management and government dimensions take paramount importance while women aim to become entrepreneurs in Indian MSMEs.
Research limitations/implications
This study is limited to identifying evaluation factors; other factors have not been identified and categorized. Evaluation is one by experts in this area so it is natural that views of decision-makers may be subjective and vary with regard to industry-type, priorities, resources, etc.
Practical implications
This study will help industry to identify, evaluate and prioritize factors for successful implementation of women entrepreneurship. MSMEs could device these factors by applying the outcome of the study in their decisions with higher priority to implement women entrepreneurship culture.
Originality/value
Potential factors are identified from relevant literature and validated by industry experts. Indian MSMEs could device these factors by applying the outcome of the study in their decisions with higher priority to adopt women entrepreneurship.</abstract><cop>Bingley</cop><pub>Emerald Publishing Limited</pub><doi>10.1108/JEEE-03-2017-0017</doi><tpages>36</tpages></addata></record> |
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source | Emerald A-Z Current Journals; Standard: Emerald eJournal Premier Collection |
subjects | Customer relationship management Decision makers Decision making Education Entrepreneurs Entrepreneurship Experts Five year plans Fuzzy sets Industrialized nations Informal economy Information technology Knowledge management NGOs Nongovernmental organizations Robustness Self employment Sensitivity analysis Small & medium sized enterprises-SME Small business Social entrepreneurship Startups Success factors Technology adoption Uncertainty Women Women owned businesses |
title | Modelling the critical success factors of women entrepreneurship using fuzzy AHP framework |
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