Submitted by Helio Ricardo Souza de Lemos (heliolemos@gmail.com) on 2015-01-05T19:36:14Z No. of bitstreams: 1 CIM I - HELIO LEMOS - THESIS FINAL - 20141201.pdf: 1543161 bytes, checksum: 88de0f8271b8c335350d5ec0e97708e4 (MD5) / Approved for entry into archive by Janete de Oliveira Feitosa (janete.feitosa@fgv.br) on 2015-01-06T12:20:27Z (GMT) No. of bitstreams: 1 CIM I - HELIO LEMOS - THESIS FINAL - 20141201.pdf: 1543161 bytes, checksum: 88de0f8271b8c335350d5ec0e97708e4 (MD5) / Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2015-01-12T12:47:12Z (GMT) No. of bitstreams: 1 CIM I - HELIO LEMOS - THESIS FINAL - 20141201.pdf: 1543161 bytes, checksum: 88de0f8271b8c335350d5ec0e97708e4 (MD5) / Made available in DSpace on 2015-01-12T12:47:34Z (GMT). No. of bitstreams: 1 CIM I - HELIO LEMOS - THESIS FINAL - 20141201.pdf: 1543161 bytes, checksum: 88de0f8271b8c335350d5ec0e97708e4 (MD5) Previous issue date: 2014-09-30 / This research aimed to find out which are the main factors that lead technology startups to fail. The study focused on companies located in the Southeast region of Brazil that operated between 2009 and 2014. In the beginning, a review of the literature was done to have a better understanding of basic concepts of entrepreneurship as well as modern techniques for developing entrepreneurship. Furthermore, an analysis of the entrepreneurial scenario in Brazil, with a focus on the Southeast, was also done. After this phase, the qualitative study began, in which 24 specialists from startups were interviewed and asked about which factors were crucial in leading a technology startup to fail. After analyzing the results, four main factors were identified and these factors were validated through a quantitative survey. A questionnaire was then formulated based on the answers from the respondents and distributed to founders and executives of startups, which both failed and succeeded. The questionnaire was answered by 56 companies and their answers were treated with the factor analysis statistical method to check the validity of the questionnaire. Finally, the logistical regression method was used to know the extent to which the factors led to the startups’ failure. In the end, the results obtained suggest that the most significant factor that leads technology startups in southeastern Brazil to fail are problems with interpersonal relationship between partners or investors.