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Director — Andrey Klimenko
Performance Governance in the Russian Federation
Purpose: the use of performance management (PM) tools is a defining characteristic of public sector management. However, while research on PM is extensive, comparatively little focuses on how the practice shapes the attitudes and behavior of employees. This article addresses this question and develops a conditional process model that links PM to turnover intention. The model predicts that the PM-turnover relationship is mediated by job satisfaction and moderated by job-goal alignment.
Design and methodology: We use a unique dataset drawn from the Russian public sector to test the model empirically. Conditional process modeling is used to test for moderated mediation. The effects are further explored using bootstrapped bias-corrected confidence intervals.
Findings: The analysis suggests that PM has an indirect effect on turnover intention via job satisfaction in the average case. However, the indirect effect is stronger for employees who perceive that their work contributes directly to organizational goals. In contrast, for employees whose work lacks organizational goal alignment, PM has no significant effect.
Originality: Despite being an instrument to manage organizational (including human) resources, few studies have linked PM to employee-level outcomes. By doing so, this study implies promising research paths that can help generate a more complete picture of how PM shapes organizational processes in the public sector.
The 11th International Conference on Theory and Practice of Electronic Governance (ICEGOV2018) took place in Galway, Republic of Ireland, between 4 and 6 April 2018. The conference was held under the high patronage of the Department of Public Expenditure and Reform (DPER), Government of Ireland. The Insight Centre for Data Analytics, part of the National University of Ireland Galway, co-organised ICEGOV2018 with the United Nations University Operating Unit on Policy-Driven Electronic Governance (UNU-EGOV), which is also the conference series organiser1. The conference organisation was also supported by the United Nations Educational, Scientific and Cultural Organization (UNESCO) and the Science Foundation Ireland (SFI).
In this panel, scholars discuss involving data, computational analysis, and information technology that has the potential to present ethical quandaries in the course of decision making related to digital government. More specifically, the presentations focus on algorithm-based decision making, personally identifiable information, and the manipulation of public opinion in social media channels. Discussion following the presentations will focus on how ethical guidelines should be formulated or what their specific content should be.
Governments around the world have been increasing their practices for open government data (OGD). After the launch of the initiative for the Open Government Partnership (OGP) many countries have developed legal arrangements, organizational transformations and cultural challenges in order to implement some practices of OGD in their Public Administrations. However very few have compared their results and experiences in a systematic way. The purpose of this paper is to introduce a first step to develop a comparative framework of OGD. Using the experience of Mexico and Russia governments on implementation we describe this experience of country comparison in order to foster the OGD implementation across the world
The issue of the state machinery optimal size remains actual until now. The experts' community has reached the agreement on the necessity to decrease the size of government and increase its activity effectiveness. Unfortunately, it is not enough to have the quantitative assessments that not only confirm the actuality of the task emphasized above but also reflect the dynamic change of the government size. In order to obtain such assessment the federal executive bodies’ powers inventory took place at the end of 2016. In the inventory process 10.4 thousand federal executive bodies powers were outlined. This is 45% more than in 2010 and practically is twice as more than in 2003. The article provides the complete quantitative analysis of powers in different aspects including the dimensions of federal executive bodies, functional classification, government bodies’ types, sources of powers fixation and budgetary classification areas. In addition, in order to systematize the obtained results from the federal executive bodies’ powers analysis we provide the definition of the term “federal executive body power” and functional classification that includes twenty basic types. The classification described in the article can be applied in practice in order to form the federal executive bodies’ powers system and their allocated resources capacity.
The purpose of this article is to determine the influence of the portfolio structure on the stability of insurance companies’ activity. With this objective, we examined how the structure of insurance portfolio affects the risks of companies’ activity. The author has proved that if insurance companies focus on voluntary property insurance it increases the probability of revocation of their licenses. These results were derived from a binary logistic regression using 112 observations. Parameters of insurance portfolio, as well as regional macroeconomic indicators that reflect the operating environment of the insurance business were used as variables for the model. Indicators of the insurance portfolio include voluntary and compulsory insurance. In the course of the research, it was revealed that one of the possible directions of development of insurance market regulation may be the organization of the mechanism of supervision over insurance companies, which allows soft impact on the structure of insurance portfolios in order to increase the stability of insurers. The introduction of this approach in regulation will allow the Bank of Russia to stimulate the development of the insurance market. Based on the results of the presented study, the Bank of Russia may develop guidelines to determine the optimal structure of the insurance portfolio. These recommendations can be one of the means of the surveillance policy over insurance companies. The orientation of the insurance company to certain types of insurance determines the stability of its functioning. In this regard, the Bank of Russia should develop an early warning system for disrupting the smooth functioning of the insurance company due to an incorrect focus on certain types of insurance.
Information openness and stakeholders’ involvement through ICT become the driving factors of public organization change. In this paper an “ecosystem” approach is embraced to study social sphere organizations (SSO), such as hospitals, schools, and libraries. SSO report on their activities by publishing information on the Web which can be used to evaluate the effectiveness and efficiency of these organizations by the public. The opening of data transforms the relationship between SSO and other stakeholders. In this paper the institutionalization of SSO evaluation system in Russia is studied. The critical role of open data is demonstrated and the inclusion of stakeholders’ was found to be a key factor to make the evaluation system truly effective. Our study reveals that an ecosystem approach to ensures that stakeholder demands are included in the SSO evaluation and assessment process. Finally, by summarizing Russian experiences we conclude with problem-oriented recommendations for open government tools application to institutionalize government practices targeted for open government principles implementation.