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The purpose of this study is to examine the effects of internal locus of control and organizational commitment in moderating the relationship of professional commitment and anticipatory socialization on the intention of whistleblowing. The population were all Government Internal Supervisory Apparatus (APIP) at the Inspectorates of Central Java as many as 55 employees. The sampling technique used saturation sampling and obtained 49 respondents. The analytical method used is Structural Equation Modeling- Partial Least Square (SEM-PLS) with the SmartPLS 3.0 analysis tool. The results show that professional commitment and anticipatory socialization partially have positive effect on the intention of whistleblowing. Internal locus of control was not able to moderate the effect of professional commitment and anticipatory socialization on the intention of whistleblowing. Organizational commitment was able to strengthen the effect of professional commitment on the intention of whistleblowing. Organizational commitment was not able to moderate the effect of anticipatory socialization on the intention of whistleblowing. The conclusions are professional commitment and anticipatory socialization affect on the intention of whistleblowing and organizational commitment can strengthen the relationship of professional commitment on the intention of whistleblowing.

A comparative analysis of the impact of the European Union on central government administration: uses a transformative perspective to examine changes as countries adapt to increased EU integration.

Two of London's three major teaching hospitals joined forces recently to form Canada's second-largest teaching hospital. The merger is considered a harbinger as teaching hospitals strive to maintain current teaching, research and clinical activities in the face of decreasing government spending.

AbstractHousing has come to play an important role in demarcating the contours of social polarization in inner London, notably via the widening socio‐spatial divide between an impoverished working class located in council housing estates and affluent home‐owning gentrifiers. In mass media and policy discourses, the former are routinely represented as an unruly urban 'underclass', a representation that homogenizes council tenants and marginalizes their voices. This article aims to move beyond a narrow underclass perspective by providing an in‐depth analysis of neighbourhood place images and social identity based on interviews with white working‐class council tenants in the inner London Borough of Camden. Drawing on debates around social distinction and place, the article illustrates a complex set of neighbourhood images rooted in narratives of urban decline as well as notions of belonging and knowing people. The article examines these place images in relation to the longstanding status distinction between respectability and roughness, as well as 'race'. In conclusion, the defensive and exclusionary elements of neighbourhood images are related to processes of social deprivation and insecurity that have affected working‐class council tenants in Camden.

Decadal predictions on timescales from one year to one decade are gaining importance since this time frame falls within the planning horizon of politics, economy and society. The present study examines the decadal predictability of regional wind speed and wind energy potentials in three generations of the MiKlip ('Mittelfristige Klimaprognosen') decadal prediction system. The system is based on the global Max-Planck-Institute Earth System Model (MPI-ESM), and the three generations differ primarily in the ocean initialisation. Ensembles of uninitialised historical and yearly initialised hindcast experiments are used to assess the forecast skill for 10 m wind speeds and wind energy output (Eout) over Central Europe with lead times from one year to one decade. With this aim, a statistical-dynamical downscaling (SDD) approach is used for the regionalisation. Its added value is evaluated by comparison of skill scores for MPI-ESM large-scale wind speeds and SDD-simulated regional wind speeds. All three MPI-ESM ensemble generations show some forecast skill for annual mean wind speed and Eout over Central Europe on yearly and multi-yearly time scales. This forecast skill is mostly limited to the first years after initialisation. Differences between the three ensemble generations are generally small. The regionalisation preserves and sometimes increases the forecast skills of the global runs but results depend on lead time and ensemble generation. Moreover, regionalisation often improves the ensemble spread. Seasonal Eout skills are generally lower than for annual means. Skill scores are lowest during summer and persist longest in autumn. A large-scale westerly weather type with strong pressure gradients over Central Europe is identified as potential source of the skill for wind energy potentials, showing a similar forecast skill and a high correlation with Eout anomalies. These results are promising towards the establishment of a decadal prediction system for wind energy applications over Central Europe.

Much of the former Soviet bloc has become a destination for new Chinese migrants. Throughout Russia, Eastern Europe and Central Asia, Chinese migrants are engaged in entrepreneurial activities, primarily as petty merchants of consumer goods in unsteady economies. This book situates these migrants within the broader context of Chinese globalization and China's economic "rise." It traces the origins of Chinese migration into the region, as well as the conditions that have allowed migrants to thrive. Furthermore, it discusses the perception that Chinese globalization is purely economic and explores the relationship among petty merchants, labourers and institutional investors. Finally, by examining the movement of China's minorities into Central Asia, this book challenges the ethnic construct of new "Chinese" migration.