Start Date
16-8-2018 12:00 AM
Description
IT entrepreneurs represent a valuable source to any society. They prompt socio-economic growth, innovation and job creation. In this regard, there has been a growing recognition of the lack of women’s IT entrepreneurial activities. Despite this recognition, a comprehensive literature shows a paucity of research in women’s IT entrepreneurship. More specifically, innovation, technology and female entrepreneurs are rarely studied in the same context though each has a vital value for human and economy development. Consequently, a conceptual model that will affect women’s IT entrepreneurial intention and decision-making processes is proposed. Hypotheses have been developed. Data has been collected in different Saudi female public universities as well as technology incubators, and entrepreneurship programs. Partial Least Square approach has been applied to analyze the data. The findings provide key factors affecting women’s IT entrepreneurial intention to perform IT entrepreneurial behaviors.
Recommended Citation
Aleidi, Asma and Chandran, Daniel, "Budding Female IT Entrepreneurs in Saudi Arabia: Impact of IT and Institutional Environment" (2018). AMCIS 2018 Proceedings. 11.
https://aisel.aisnet.org/amcis2018/AdvancesIS/Presentations/11
Budding Female IT Entrepreneurs in Saudi Arabia: Impact of IT and Institutional Environment
IT entrepreneurs represent a valuable source to any society. They prompt socio-economic growth, innovation and job creation. In this regard, there has been a growing recognition of the lack of women’s IT entrepreneurial activities. Despite this recognition, a comprehensive literature shows a paucity of research in women’s IT entrepreneurship. More specifically, innovation, technology and female entrepreneurs are rarely studied in the same context though each has a vital value for human and economy development. Consequently, a conceptual model that will affect women’s IT entrepreneurial intention and decision-making processes is proposed. Hypotheses have been developed. Data has been collected in different Saudi female public universities as well as technology incubators, and entrepreneurship programs. Partial Least Square approach has been applied to analyze the data. The findings provide key factors affecting women’s IT entrepreneurial intention to perform IT entrepreneurial behaviors.