Effect of leadership styles on turnover intention among staff nurses in private hospitals: the moderating effect of perceived organizational support.
Autorzy:
Pattali S; College of Administrative and Financial Sciences, University of Technology Bahrain, Salmabad, Kingdom of Bahrain. Sankar JP; College of Administrative and Financial Sciences, University of Technology Bahrain, Salmabad, Kingdom of Bahrain. . Al Qahtani H; Vice President of Academic Affairs, University of Technology Bahrain, Salmabad, Kingdom of Bahrain. Menon N; College of Administrative and Financial Sciences, University of Technology Bahrain, Salmabad, Kingdom of Bahrain. Faizal S; College of Administrative and Financial Sciences, University of Technology Bahrain, Salmabad, Kingdom of Bahrain.
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Źródło:
BMC health services research [BMC Health Serv Res] 2024 Feb 14; Vol. 24 (1), pp. 199. Date of Electronic Publication: 2024 Feb 14.
Developing an advanced prediction model for new employee turnover intention utilizing machine learning techniques.
Autorzy:
Park J; Technology Policy Research Division, Electronics and Telecommunications Research Institute (ETRI), Daejeon, South Korea. Feng Y; Management Information Systems, Chungbuk National University, Cheongju, South Korea. . Jeong SP; Department of Computer Science, BNU-HKBU United International College, Zhuhai, Guangdong, China.
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Źródło:
Scientific reports [Sci Rep] 2024 Jan 12; Vol. 14 (1), pp. 1221. Date of Electronic Publication: 2024 Jan 12.
Historical biogeography supports Point Conception as the site of turnover between temperate East Pacific ichthyofaunas.
Autorzy:
Miller EC; Department of Biology, University of Oklahoma, Norman, Oklahoma, United States of America.; Marine Biology Research Division, Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, United States of America.
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Źródło:
PloS one [PLoS One] 2023 Sep 19; Vol. 18 (9), pp. e0291776. Date of Electronic Publication: 2023 Sep 19 (Print Publication: 2023).
Typ publikacji:
Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
Prediction and optimization of employee turnover intentions in enterprises based on unbalanced data.
Autorzy:
Li Z; Metropolitan College, Boston University, Boston, Massachusetts, United States of America. Fox E; Department of Computer Science, Virginia Tech, Arlington, Virginia, United States of America.
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Źródło:
PloS one [PLoS One] 2023 Aug 17; Vol. 18 (8), pp. e0290086. Date of Electronic Publication: 2023 Aug 17 (Print Publication: 2023).
Turning the tide on turnover: The impact of empowering leadership on the work-family spillover of managers.
Autorzy:
Khan NA; Department of Industrial Economics and Project Management, South Ural State University, Chelyabinsk, Russia. Bahadur W; College of International Cooperation and College of Business, Xi'an International University, Xi'an, Shanxi, China. Maialeh R; Research Institute for Labour and Social Affairs, Prague, Czech Republic.; School of Business, UCT Prague, Prague, Czech Republic. Pravdina N; Department of Industrial Economics and Project Management, South Ural State University, Chelyabinsk, Russia. Akhtar M; Malik Firoz Khan Noon Business School, University of Sargodha, Punjab, Pakistan.
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Źródło:
PloS one [PLoS One] 2023 Aug 10; Vol. 18 (8), pp. e0287674. Date of Electronic Publication: 2023 Aug 10 (Print Publication: 2023).
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