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Role of authentic leadership and personal mastery in predicting employee creative behavior:a self-determination perspective

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Frontiers of Business Research in China 2021年第1期15卷 108-123页

作者： adnan fateh Norizah Mustamil Fakhar Shahzad University of Malaya Kuala LumpurMalaysia Jiangsu University ZhenjiangJiangsuChina

Personality dispositions and their role in inducing employee creative behavior are well documented in the ***,much is unexplored about the collective and relative contribution of personality orientations and environmental factors in explaining creative *** study used a framework based on selfdetermination theory(SDT)to measure the combined and relative contribution of personal mastery orientation and authentic leadership in predicting employee creative behavior as mediated by autonomous motivation.A self-reported survey was conducted among software developers working in software *** results of the study show that both personal mastery and authentic leadership are significant predictors of employee creative *** addition,autonomous motivation significantly mediates the relationship between personal mastery,authentic leadership,and creative *** findings of the study lend support to the combined effect of personality orientation and environmental factors in predicting employee creative behavior and test the SDT framework’s efficacy in predicting creative behavior.

关键词： Authentic leadership Autonomous motivation Employee creative behavior Personal mastery Self-determination theory

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Projection of future streamflow of the Hunza River Basin,Karakoram Range(Pakistan)using HBV hydrological model

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Journal of Mountain Science 2018年第10期15卷 2218-2235页

作者： Ayaz fateh ALI XIAO Cun-de ZHANG Xiao-peng Muhammad adnan Mudassar IQBAL Garee KHAN State Key Laboratory of Cryospheric Science Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000China University of Chinese Academy of Sciences Beijing 100049China State Key Laboratory of Land Surface and Resource Ecology Beijing Normal UniversityBeejing 100875China Key Laboratory of land Surface Process and Climate Change in Cold and Arid Regions Northwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 73o000China Department of Earth Sciences Karakoram International UniversityGilgit 15100Pakistan

Hydrologiska Byrans Vattenbalansavdeling(HBV) Light model was used to evaluate the performance of the model in response to climate change in the snowy and glaciated catchment area of Hunza River Basin. The study aimed to understand the temporal variation of streamflow of Hunza River and its contribution to Indus River System(IRS). HBV model performed fairly well both during calibration(R2=0.87, Reff=0.85, PBIAS=-0.36) and validation(R2=0.86, Reff=0.83, PBIAS=-13.58) periods on daily time scale in the Hunza River Basin. Model performed better on monthly time scale with slightly underestimated low flows period during bothcalibration(R2=0.94, Reff=0.88, PBIAS=0.47) and validation(R2=0.92, Reff=0.85, PBIAS=15.83) periods. Simulated streamflow analysis from 1995-2010 unveiled that the average percentage contribution of snow, rain and glacier melt to the streamflow of Hunza River is about 16.5%, 19.4% and 64% respectively. In addition, the HBV-Light model performance was also evaluated for prediction of future streamflow in the Hunza River using future projected data of three General Circulation Model(GCMs) i.e. BCC-CSM1.1, CanESM2, and MIROCESM under RCP2.6, 4.5 and 8.5 and predictions were made over three time periods, 2010-2039, 2040-2069 and 2070-2099, using 1980-2010 as the control period. Overall projected climate results reveal that temperature and precipitation are the most sensitiveparameters to the streamflow of Hunza River. MIROC-ESM predicted the highest increase in the future streamflow of the Hunza River due to increase in temperature and precipitation under RCP4.5 and 8.5 scenarios from 2010-2099 while predicted slight increase in the streamflow under RCP2.6 during the start and end of the 21 th century. However, BCCCSM1.1 predicted decrease in the streamflow under RCP8.5 due to decrease in temperature and precipitation from 2010-2099. However, Can ESM2 predicted 22%-88% increase in the streamflow under RCP4.5 from 2010-2099. The results of this study could

关键词： HBV Light model Hydrological modeling Hunza River Upper Indus Basin Snow and glacier-melt

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