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Nealia S. Bruning
Researcher at University of Manitoba
Publications - 25
Citations - 1110
Nealia S. Bruning is an academic researcher from University of Manitoba. The author has contributed to research in topics: Job satisfaction & Organizational commitment. The author has an hindex of 17, co-authored 25 publications receiving 1014 citations. Previous affiliations of Nealia S. Bruning include Kent State University.
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Sex and Position as Predictors of Organizational Commitment
TL;DR: In this paper, the authors empirically examined sex and position as predictors of organizational commitment for 583 employees of social service organizations, and the results of simple correlational and multiplicative analysis were presented.
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Human resource management and organizational performance of small and medium enterprises (SMEs) in Nigeria
TL;DR: In this paper, the authors investigated the relationship between human resource management practices and the financial (FIN) and non-financial performance (NONFIN) of SMEs in Nigeria and found that human capital development and occupational health and safety had a direct relationship with NONFIN, and employee performance management and NONFIN on FIN performance.
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The negative effects of workplace injury and illness on workplace safety climate perceptions and health care worker outcomes
TL;DR: It is argued that health care managers need to engage in positively enhancing the precipitating environment and conditions that may lead to health care accidents, injuries, and illnesses in order to improve safety climate perceptions and employee outcomes.
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Western high-performance HR practices in China: a comparison among public-owned, private and foreign-invested enterprises
TL;DR: In this paper, a comparison of the status of high-performance human resource practices and organizational goal priorities (economic and humanistic) in Chinese domestic-owned (public-owned and private-owned) and foreign-invested enterprises is presented.
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Rationality versus reality: the challenges of evidence-based decision making for health policy makers
TL;DR: The cognitive information processing framework presented here will aid health policy decision makers by identifying how their decisions might be subtly influenced by non-rational factors and some initial suggestions about how the EBDM/EBPM process can be improved.