[pt] Essa dissertação apresenta as tecnologias de radiofrequência e geoposicionamento (RFID/GPS) associadas. A questão fundamental para esse estudo seria a implementação de um sistema baseado em RFID que permita o rastreamento de ferramentas especiais e a localização destas em tempo real. Essas ferramentas são usadas no processo para produção “offshore” de óleo e gás. Como se trata de investimento em uma tecnologia inovadora é relevante considerar a análise financeira do negócio e, portanto se recomenda o cálculo do Valor Presente Líquido (VPL) e consequentemente o retorno sobre o investimento (ROI). A análise econômica foi baseada em uma fase de operação onde há postergação do óleo e a inoperância com sonda, cujos custos são parâmetros que expressam valores em moeda mais significativos. Os resultados mostraram que o valor investido é recuperado em 4 anos e são potencializados quando há tendência de elevação no preço do óleo, alta produtividade do campo e redução dos custos decorrente da melhoria de equipamentos ou pelo aumento da demanda desses. Os resultados obtidos permitiram avaliar e comparar não apenas o retorno do investimento, como benefício de impacto, mas também perceber e avaliar os benefícios agregados à cadeia de valor que certamente vinculada a demanda pressionará a evolução de novas tecnologias em função de mudanças e procedimentos. / [en] This dissertation presents the radio frequency technologies and geopositioning (RFID and GPS) associated with it. The fundamental question for this study would be the implementation of a system based on RFID, which would allow the tracking and the location of these special tools in real time. These tools are used in the process for offshore production of oil and gas. As it comes to investment in innovative technology is relevant considering business and financial analysis, so it is recommended the calculation of the net present value (NPV) and therefore the return on investment (ROI). The economic analysis was based on a phase of operation where there is a delay of oil and ineptitude with the drilling rigs, which costs are parameters that express the most significant currency values. The results showed that the amount invested is recovered in 4 years and are enhanced when: there is a tendency to rise in price of oil, the field features high productivity and as there will be an increased demand and improvements in RFID equipment, the investment costs tend to decrease. The results obtained made it possible to evaluate and compare not only the return on investment, as the benefit of impact, but also realize and assess the benefits of value chain aggregates that certainly linked to the demand will put pressure on the evolution of new technologies in the light of changes and procedures.

In recent years, numerous high tech companies have developed and used technology roadmaps when making their investment decisions. Jay Paap has proposed the Customer Focused Technology Planning (CFTP) framework to draw future technology roadmaps. However, the CFTP framework does not include risk assessment as a critical factor in decision making. The problem addressed in this quantitative study was that high tech companies are either losing money or getting a much smaller than expected return on investment when making technology investment decisions. The purpose of this research was to determine the relationship between returns on investment before and after adding risk assessment to the CFTP framework. Paap's CFTP framework and process to improve technology investments thus served as the theoretical framework for this study. Data were obtained from cloud computing companies using the companies' market risk data and actual returns on investment data. The results and findings of paired sample two-tailed t tests for means and equal variances showed that return on investment was positively related to adding a traditional risk assessment model to Paap's CFTP framework. These findings regarding the addition of risk assessment to the technology investment framework may be used by investors to (a) make better and more expeditious decisions, and (b) obtain a high return on technology investment by selecting the highest return value and lowest risk value.