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dc.contributor.authorWilson, Alis Wiken
dc.contributor.authorPatón-Romero, Jose David
dc.date.accessioned2023-01-12T12:49:56Z
dc.date.available2023-01-12T12:49:56Z
dc.date.created2022-08-29T11:03:41Z
dc.date.issued2022
dc.identifier.isbn978-1-4503-9294-5
dc.identifier.urihttps://hdl.handle.net/11250/3043063
dc.description.abstractThe largest gender gaps within entrepreneurship today are in the Information Technology (IT) sector, where male entrepreneurs are more than twice as likely as women to operate. The current gender gap in tech society needs to decrease, and more women who are involved in computer science through study or labor should consider tech entrepreneurship as a career path. This is crucial for developing technology suitable for the whole society. That is why the research objective of this study is to provide information about the relation between IT and gender from the entrepreneurship point of view, using the Systematic Mapping Study (SMS) methodology for this purpose. The results obtained show the original research that exist on gender equality and tech entrepreneurship, in addition to a coverage of various challenges and success factors connected to female tech entrepreneurs. Likewise, they also revealed that there is still a lack of existing studies on the intersection of gender equality and tech entrepreneurship, but it is slowly increasing. Therefore, it is necessary to continue working in this area and the current success factors obtained from female tech entrepreneurs should work as guidelines to help women pursue a career within tech entrepreneurship.en_US
dc.language.isoengen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.ispartof3rd International Workshop on Gender Equality, Diversity and Inclusion in Software Engineering (GE@ICSE 2022)
dc.titleGender Equality in Tech Entrepreneurship: A Systematic Mapping Studyen_US
dc.title.alternativeGender Equality in Tech Entrepreneurship: A Systematic Mapping Studyen_US
dc.typeChapteren_US
dc.description.versionacceptedVersionen_US
dc.subject.nsiVDP::Datateknologi: 551en_US
dc.subject.nsiVDP::Computer technology: 551en_US
dc.subject.nsiVDP::Datateknologi: 551en_US
dc.subject.nsiVDP::Computer technology: 551en_US
dc.subject.nsiVDP::Datateknologi: 551en_US
dc.subject.nsiVDP::Computer technology: 551en_US
dc.source.pagenumber51-58en_US
dc.identifier.doi10.1145/3524501.3527608
dc.identifier.cristin2046619
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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