Análise de grandes eventos na cidade do Rio de Janeiro usando dados de telefonia celular

Os dados de telefonia celular são um instrumento valioso para analisar o comportamento da população urbana, uma vez que informação sobre a mobilidade das pessoas é difícil de obter. Estes podem oferecer estimativas em relação ao deslocamento e à ocupação da população nos espaços públicos, ajudando a elaborar medidas de planejamento urbano mais especificas e eficientes. A fim de examinar a movimentação ao redor da cidade do Rio de Janeiro em dias de grandes eventos, propomos uma metodologia com o objetivo de identificar aspectos desses eventos que permitem conhecer o público e oferecer soluções para os planejadores desenharem estratégias para a organização e segurança desses participantes. Palavras-chaves: mobilidade urbana. dados CDR. eventos públicos. Rio de Janeiro

Mhealth entrepreneurship: an exploratory research for a managerial model for mhealth start ups in low and middle income countries

Since some years, mobile technologies in healthcare (mHealth) stand for the transformational force to improve health issues in low- and middle-income countries (LMICs). Although several studies have identified the prevailing issue of inconsistent evidence and new evaluation frameworks have been proposed, few have explored the role of entrepreneurship to create disruptive change in a traditionally conservative sector. I argue that improving the effectiveness of mHealth entrepreneurs might increase the adoption of mHealth solutions. Thus, this study aims at proposing a managerial model for the analysis of mHealth solutions from the entrepreneurial perspective in the context of LMICs. I identified the Khoja–Durrani–Scott (KDS) framework as theoretical basis for the managerial model, due to its explicit focus on the context of LMICs. In the subsequent exploratory research I, first, used semi-structured interviews with five specialists in mHealth, local healthcare systems and investment to identify necessary adaptations to the model. The findings of the interviews proposed that especially the economic theme had to be clarified and an additional entrepreneurial theme was necessary. Additionally, an evaluation questionnaire was proposed. In the second phase, I applied the questionnaire to five start-ups, operating in Brazil and Tanzania, and conducted semi-structured interviews with the entrepreneurs to gain practical insights for the theoretical development. Three of five entrepreneurs perceived that the results correlated with the entrepreneurs' expectations of the strengths and weaknesses of the start-ups. Main shortcomings of the model related to the ambiguity of some questions. In addition to the findings for the model, the results of the scores were analyzed. The analysis suggested that across the participating mHealth start-ups the ‘behavioral and socio-technical’ outcomes were the strongest and the ‘policy’ outcomes were the weakest themes. The managerial model integrates several perspectives, structured around the entrepreneur. In order to validate the model, future research may link the development of a start-up with the evolution of the scores in longitudinal case studies or large-scale tests.

M-PESA mobile money: a case study in Blue ocean strategy

The recent and widespread availability of affordable mobile phone technology in developing countries has paved the way for the development of a number of mobile money and electronic remittance services. One of the most successful of these services is Safaricom’s M-PESA program, launched in the East African nation of Kenya in March 2007. Since then, the program has successfully enrolled over 15.2 million users, transferred more than US$1.4 trillion in electronic funds, and contributed significantly to poverty alleviation and financial inclusion efforts in Kenya. M-Pesa is a mobile phone based money transfer system in Kenya which grew at a blistering pace following its inception in 2007. This case study will analyze the critical factors that make M-PESA such a unique success in Kenya specifically.