Logistics industry recently has worker’s age problem,since the logistics industry has a hard working environment,also young age workers are lack of interest in labour intensive industries.Logistics industry requires ...Logistics industry recently has worker’s age problem,since the logistics industry has a hard working environment,also young age workers are lack of interest in labour intensive industries.Logistics industry requires a lot of stillness workers.Based on the basic labour and logistics management,it is a critical issue of possibilities to improve employees’job burnout,reduce work stress,and increase job involvement.Team effectiveness affecting self-efficacy,job involvement and social support which affect work performance is the major factor as in this research.This study empirically tests team effectiveness affects social support,self-efficacy,and job involvement.This study distributes questionnaires of a total of 270 samples,and 234 returned,the return ration is 86.6%.The analysis technology used structural equation modeling(SEM)analysis as well.展开更多
Purpose–With the development of economy,China’s OFDI constantly increase in recent year.Meanwhile,OFDI hasspillovereffectoneconomicdevelopmentandtechnologicaldevelopmentofhomecountry.Thus,accurateOFDI prediction is ...Purpose–With the development of economy,China’s OFDI constantly increase in recent year.Meanwhile,OFDI hasspillovereffectoneconomicdevelopmentandtechnologicaldevelopmentofhomecountry.Thus,accurateOFDI prediction is a prerequisite for the effective development of international investment strategies.The purpose of this paper is to predict China’s OFDI accurately using a novel multivariable grey prediction model with Fourier series.Design/methodology/approach–This paper applied a multivariable grey prediction model,GM(1,N),to forecast China’s OFDI.In order to improve the prediction accuracy and without changing local characteristics of grey model prediction,this paper proposed a novel grey prediction model to improve the performance of the traditionalGM(1,N)modelbycombiningwithresidualmodificationmodelusingGM(1,1)modelandFourierseries.Findings–The coefficients indicate that the export and GDP have positive influence on China’s OFDI,and,according to the prediction result,China’s OFDI shows a growing trend in next five years.Originality/value–This paper proposed an effective multivariable grey prediction model that combined the traditionalGM(1,N)modelwitharesidualmodificationmodelinordertopredictChina’sOFDI.Accurateforecasting of OFDI provides reference for the Chinese Government to implement international investment strategies.展开更多
文摘Logistics industry recently has worker’s age problem,since the logistics industry has a hard working environment,also young age workers are lack of interest in labour intensive industries.Logistics industry requires a lot of stillness workers.Based on the basic labour and logistics management,it is a critical issue of possibilities to improve employees’job burnout,reduce work stress,and increase job involvement.Team effectiveness affecting self-efficacy,job involvement and social support which affect work performance is the major factor as in this research.This study empirically tests team effectiveness affects social support,self-efficacy,and job involvement.This study distributes questionnaires of a total of 270 samples,and 234 returned,the return ration is 86.6%.The analysis technology used structural equation modeling(SEM)analysis as well.
文摘Purpose–With the development of economy,China’s OFDI constantly increase in recent year.Meanwhile,OFDI hasspillovereffectoneconomicdevelopmentandtechnologicaldevelopmentofhomecountry.Thus,accurateOFDI prediction is a prerequisite for the effective development of international investment strategies.The purpose of this paper is to predict China’s OFDI accurately using a novel multivariable grey prediction model with Fourier series.Design/methodology/approach–This paper applied a multivariable grey prediction model,GM(1,N),to forecast China’s OFDI.In order to improve the prediction accuracy and without changing local characteristics of grey model prediction,this paper proposed a novel grey prediction model to improve the performance of the traditionalGM(1,N)modelbycombiningwithresidualmodificationmodelusingGM(1,1)modelandFourierseries.Findings–The coefficients indicate that the export and GDP have positive influence on China’s OFDI,and,according to the prediction result,China’s OFDI shows a growing trend in next five years.Originality/value–This paper proposed an effective multivariable grey prediction model that combined the traditionalGM(1,N)modelwitharesidualmodificationmodelinordertopredictChina’sOFDI.Accurateforecasting of OFDI provides reference for the Chinese Government to implement international investment strategies.
