CRM na administração pública: desenvolvimento e validação de uma Escala de Relacionamento com o Cidadão (ERCi)

As empresas utilizam a gestão de relacionamento com o cliente ou Customer Relationship Management (CRM) para estabelecer relacionamentos de longo prazo, mantendo seus clientes satisfeitos e fiéis. Neste contexto, o Citizen Relationship Management (CiRM) surge no setor público como estratégia para aprimorar o atendimento ao cidadão e incentivar a cidadania. Considerando a lacuna da literatura sobre o tema, o objetivo deste estudo multimétodo foi validar um instrumento para avaliar a percepção dos cidadãos quanto às iniciativas de CiRM na administração pública. A principal contribuição deste trabalho consistiu na validação de um instrumento, em versões completa e reduzida, com índices psicométricos muito confiáveis, que pode ser utilizado como ferramenta diagnóstica pelos gestores públicos para promover uma gestão profícua do relacionamento com os cidadãos.

Key factors in working capital management in the Brazilian market

Many studies have been conducted in corporate finance regarding long-term investment and financing decisions. However, short-term asset investments play a significant role in the balance sheet of companies. Moreover, financial managers dedicate significant amounts of time and effort to the subject of working capital management, balancing current assets and liabilities. This paper provides insights regarding the key factors of working capital management by exploring the internal variables of a number of companies. This study used data from 2,976 Brazilian public companies from 2001 to 2008, and found that debt level, size and growth rate can affect the working capital management of companies.

The role of discriminant analysis in the refinement of customer satisfaction assessment

OBJECTIVE: To test discriminant analysis as a method of turning the information of a routine customer satisfaction survey (CSS) into a more accurate decision-making tool. METHODS: A 7-question, 10-multiple choice, self-applied questionnaire was used to study a sample of patients seen in two outpatient care units in Valparaíso, Chile, one of primary care (n=100) and the other of secondary care (n=249). Two cutting points were considered in the dependent variable (final satisfaction score): satisfied versus unsatisfied, and very satisfied versus all others. Results were compared with empirical measures (proportion of satisfied individuals, proportion of unsatisfied individuals and size of the median). RESULTS: The response rate was very high, over 97.0% in both units. A new variable, medical attention, was revealed, as explaining satisfaction at the primary care unit. The proportion of the total variability explained by the model was very high (over 99.4%) in both units, when comparing satisfied with unsatisfied customers. In the analysis of very satisfied versus all other customers, significant relationship was identified only in the case of the primary care unit, which explained a small proportion of the variability (41.9%). CONCLUSIONS: Discriminant analysis identified relationships not revealed by the previous analysis. It provided information about the proportion of the variability explained by the model. It identified non-significant relationships suggested by empirical analysis (e.g. the case of the relation very satisfied versus others in the secondary care unit). It measured the contribution of each independent variable to the explanation of the variation of the dependent one.