Value Innovation in the Public Sector: Concept, Determining Factors and Framework

Author(s):  
Teresa Cristina Monteiro Martins ◽  
André Luiz Zambalde ◽  
André Grützmann ◽  
Paulo Henrique de Souza Bermejo ◽  
Everton Leonardo de Almeida ◽  
...  
sjesr ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. 44-52
Author(s):  
Nargis Abbas ◽  
Uzma Ashiq ◽  
Maria Yaqoob

Reporting wrongdoing is significant to the effectiveness of the organization, however, is a challenging task. The objective of this study was to contribute to the research by identifying the determining factors that influence the decision of a faculty member to report unethical behavior in the public sector universities. Further, to develop the validated scales to measure such factors. To achieve these objectives, this research study adopted a two-phase, exploratory sequential mixed method research design. A multistage sampling technique was used and a sample of 300 faculty members from four public sector universities of the Punjab were selected. The first part of the study was a qualitative phase to explore the dimensions by using semi-structured interviews and a focused group discussion method in which five dimensions were explored. With a 42-item Whistle-blowing Procedure Questionnaire was created. In the second phase, in the quantitative phase, six factors connected to the theoretical constructs of decision of reporting wrongdoings/whistle-blowing were explored in the scale construction and validation process by using exploratory factor analysis.


2018 ◽  
Vol 8 (1) ◽  
pp. 227
Author(s):  
Yusheng Kong ◽  
Peter Yao Lartey ◽  
Fatoumata Binta Maci Bah ◽  
Nirmalya B. Biswas ◽  
Rupa Santosh Jaladi

This paper examines key institutional drivers capable of fashioning an enabling environment for public sector efficiency. The study gathered evidence that  institutional variables such as Innovation, Performance orientation, Value Creation and Budget Flexibility are good predictors of public sector efficiency. The extracted variables per the Factor Analysis accounted for 77.3% variance. Implying that, the 4 extracted factors have significant impact on the dependent variable with relatively high significant alpha value of p< 0.000, per the multiple regression output , corresponding to relatively positive unstandardized coefficients. This implies that, the explanatory variables are prominent determinants with strong evidence to reject the null hypothesis at 95% critical value. However, the Adjusted Square R2 indicates a significant relationship between Efficiency and the explanatory variables at 50.3%. The study concluded that, the public sector needs substantial empirical evidence to enlighten the real impact of key institutional drivers of efficiency and a conventional standard for measuring efficiency.


2020 ◽  
Vol 24 (1) ◽  
pp. 347
Author(s):  
João Gonsalo de Moura ◽  
Eden do Carmo Soares Júnior ◽  
Alan Vasconcelos dos Santos ◽  
Ricardo Zimbrão Affonso de Paula ◽  
César Augustus Labre Lemos de Freitas

O presente estudo tem por objetivo analisar o status da gestão das receitas próprias nos municípios maranhenses, identificando alguns elementos explicativos que possam ser associados a uma boa gestão fiscal no âmbito municipal. Recorrendo ao uso da análise de regressão, o estudo confronta o Índice Firjan de Gestão Fiscal (IFGF) com cinco variáveis sugeridas como fatores determinantes do referido índice, no caso, o nível de renda per capita, o número de empresas per capita, a participação dos serviços prestados pelo setor privado na economia do município, a parcela da população urbana em relação à população total e a participação do setor público na economia local. Utilizando médias de indicadores representativos do período 2010-2014, um período de relativa normalidade em termos de crescimento econômico nos níveis nacional e regional, a conclusão aponta a importância da capacidade empreendedora dos munícipes (empresas per capita), a pujança do setor de serviços (participação dos serviços na economia municipal) e a participação do setor público na economia como causas importantes da boa gestão fiscal no âmbito das prefeituras do Maranhão. O estudo sugere, então, que as políticas públicas direcionadas à melhoria da administração das receitas municipais devem considerar tais elementos causativos como foco estratégico, de modo que as metas administrativas possam ser alcançadas com eficiência.Palavras-chave: Administração pública. Finanças públicas. Receitas próprias. Gestão fiscal. Maranhão. Municípios.DETERMINANTS OF OWN REVENUE IN SUBNATIONAL UNITS: the case of maranhão municipalitiesAbstractThis study aims to analyze the status of the management of own revenues in the municipalities of Maranhão, identifying some explanatory elements that can be associated with good fiscal management at the municipal level. Using the regression analysis, the study compares the Firjan Tax Management Index (IFGF) with five variables suggested as determining factors of the referred index, in this case, the level of income per capita, the number of companies per capita, the participation of the services provided by the private sector in the municipality's economy, the share of the urban population in relation to the totalpopulation and the participation of the public sector in the local economy. Using averages of representative indicators for the period 2010-2014, a period of relative normality in terms of economic growth at national and regional levels, the conclusion points to the importance of the entrepreneurial capacity of citizens (companies per capita), the strength of the service sector (participation of services in the municipal economy) and the participation of the public sector in the economy as important causes of good fiscal management in the scope of the municipalities of Maranhão. It is suggested, then, that public policies aimed at improving the administration of municipal revenues should consider such causative elements as a strategic focus, so that administrative goals can be achieved efficiently.Keywords: Public administration. Public finance. Own revenue. Tax management. Maranhão. Counties.


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