This research aimed to explore the influence of the institutional context on the growth-potential of new businesses in South Africa. The purpose of this study is to highlight the major responsibility of bureaucracy to enable high-growth entrepreneurship in emerging economies by building a favourable economic, social and legal environment, known as the institutional context.An adapted research model was defined through an extensive literature review of prior studies in the fields of both institutional theory and entrepreneurship theory. An online survey was administered to many South African entrepreneurs via a number of databases across the country. The responses were then collected and analysed by means of a multiple regression analysis to test the six hypotheses of the research model.The results revealed that all the identified institutional factors were found to have significant influences on high-growth entrepreneurship in the intended directions, while access to technology was found to have the largest influence, and the regulatory framework also contributed substantially. This implies that the bureaucracy of the country has to consider all the identified factors when attempting to design a supportive institutional environment to stimulate high-growth entrepreneurship. However, the greatest results will be achieved by focusing specifically on the access to an extensive technological infrastructure and an effective regulatory framework. / Dissertation (MBA)--University of Pretoria, 2012. / Gordon Institute of Business Science (GIBS) / unrestricted

This paper uses the Global Entrepreneurship Monitor data of approximately 200,000 surveys conducted on industry experts and general population to examine factors that have a significant impact on high growth Total Early-Stage Entrepreneurial Activity (TEA), with a focus on developed countries with GDP per capita of USD 20,000 or above. The results suggest that expert opinion has a significant positive correlation with high growth TEA in developed countries, while only the public sentiment has a meaningful relationship with high growth TEA in developing countries. Among the specific categories of the survey, access to funding and government regulations and support had the largest impact.

Submitted by Erika Demachki (erikademachki@gmail.com) on 2017-06-29T21:17:36Z No. of bitstreams: 2 Dissertação - Gustavo Abrantes Condeixa - 2016.pdf: 3193344 bytes, checksum: 7b93bf3023bf4922198bf2823e501815 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2017-07-10T10:38:52Z (GMT) No. of bitstreams: 2 Dissertação - Gustavo Abrantes Condeixa - 2016.pdf: 3193344 bytes, checksum: 7b93bf3023bf4922198bf2823e501815 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) / Made available in DSpace on 2017-07-10T10:38:52Z (GMT). No. of bitstreams: 2 Dissertação - Gustavo Abrantes Condeixa - 2016.pdf: 3193344 bytes, checksum: 7b93bf3023bf4922198bf2823e501815 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2016-05-18 / High growth is a phenomenon that occurs for a small group of companies and, it is related to fast growth caused by new jobs creation or superior growth compared to other companies. Researchers and public politics makers showing interest for companies with high growth is motivated by the fact that those companies are perceived as important factors for a dynamic economy and, job creation. They are also known for creating and diffusing new technologic knowledge, contributing for regional development. To analyze the relation between science, technology and innovation's regional indicators, as well as the entrepreneurship indicators of high growth in the Brazilian states, the collected data composed a cross-section within the 27 Brazilian federation states, between the years of 2008 and 2012, having its explanatory variables grouped into four indicators of ST&I that corresponds to ST&I infrastructure, ST&I Human Resources, Investment in R&D and Innovation. Stacked data was utilized and the estimated method adopted was the Ordinary Least Squares (OLS).To better adjust the proposed model the dependent variable TEAC general was segregated for the Service, Industry and Commerce sectors.16 logistics regression specifications was studied in reference to the four proposed equations, segregated in function of the four dependent variables mentioned. The results shown in this work demonstrate the existence of a low correlation between ST&I and TEAC general. It also suggests that the activities sector is an important component in relation between ST&I and TEAC, although the ST&I indicators present larger impact for Industry Sector's TEAC. Another significant result was that a better human resources qualification results in better TEAC. To prove the theory, it was verified a strong correlation among people hired with bachelor's degree while a person holding a master or Ph.D. degree didn't present significance to the study. / O Alto Crescimento é um fenômeno que ocorre em um número pequeno de empresas, estando relacionado a um crescimento acelerado, proporcionando uma expressiva geração de novos empregos. Esta condição, aliada a outros fatores, imprime uma importância estratégica ao fenômeno do alto crescimento tanto para pesquisadores quanto para decisores políticos. Diante desta importância, a presente pesquisa buscou compreender quais fatores se mostram determinantes na criação de empresas de alto crescimento. Optou-se por focar na análise da relação entre os indicadores regionais de Ciência, Tecnologia e Inovação (CT&I) e a taxa de empreendedorismo de alto crescimento (TEAC) nos estados brasileiros por meio de uma crosssection para as 27 unidades da federação do Brasil, entre os anos de 2008 a 2012, cujas variáveis explicativas foram agrupadas em quatro indicadores de CT&I, as quais correspondem à Infraestrutura para CT&I; aos Recursos Humanos para CT&I; ao Investimento em P&D; e à Inovação. Com o objetivo de melhor ajustar o modelo proposto, a variável dependente TEAC geral foi segregada entre os setores de Serviço, Indústria e Comércio. Para a obtenção dos resultados apresentados neste trabalho, foram utilizados dados empilhados, sendo o método de estimação adotado o de Mínimos Quadrados Ordinários (MQO). Como resultado, este trabalho demonstrou que a relação entre os indicadores regionais de CT&I e a TEAC de forma geral apresentou uma baixa correlação. Contudo, quando analisados os efeitos relativos aos setores segregados, verificou-se que os resultados estão diretamente relacionados ao setor ao qual a empresa está baseada, confirmando também que as diferenças de crescimento podem ocorrer em função da segmentação do setor. Também é verificado um maior impacto proveniente da relação entre os indicadores regionais de CT&I para a TEAC do setor da indústria, sugerindo que empresas que possuem maior relação com inovação podem ser mais beneficiadas com investimentos regionais em CT&I. Finalmente, a contratação de pessoal com nível superior também se mostra como um elemento favorável à promoção do alto crescimento.