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| Research on the Factors Influencing the Brain Drain of Chinese Military Enterprises |
| He Haiyan1,Li Mengdi2,Li Hongkuan1,Shan Jiefei2 |
| （1.School of Management and Economic, Beijing Institute of Technology;2.School of Humanities and Social Seience, Beijing Institute of Technology, Beijing 100081, China ） |
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Abstract The massive loss of scientific and technological talents in China's military enterprises has become a great obstacle to the construction of the deep integration of military and civilian, and it has also posed a challenge to the new military revolution.Based on the theory of double-layer embedding and demand-pull theory, this paper establishes the DBOE model of the factors influencing the loss of scientific and technological talents in China's military enterprises, and then uses the DEMATEL-AHP method to screen out the key elements of the influencing factors.The results show that: among the secondary indicators, the scientific research ability and income reward have more important influence on the brain drain, and the weight of corporate culture is the lowest; the top four factors affecting the loss of scientific and technological talents in China's military enterprises are basic salary, performance wage, material support and spiritual support.the relationship between scientific research ability and other indicators is most close.Scientific research ability is easy to influence other factors, but also easy to be affected by other factors.Finally, the paper puts forward some suggestions to improve the loss of talents.
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Received: 21 January 2019
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| [1]ADEL ALFERAIH.Developing a conceptual model to measure talent′s turnover intention in tourism organisations of Saudi Arabia[J].International Journal of Organizational Analysis,2017,25(1):2-23.[2]BRIAN WERNICK,THOMAS WOJDA,ALEXANDER WALLNER,et al.Brain drain in academic medicine: dealing with personnel departures and loss of talent[J].International Journal of Academic Medicine,2016,2(1):68-67.[3]DIPAK KUMAR BHATTACHARYYA.Compensation and benefits program a mediating variable for talent retention[J].Compensation & Benefits Review,2015,47(2):75-80.[4]DANIEL EGIEGBA AGBIBOA.Offsetting the development costs? brain drain and the role of training and remittances[J].Third World Quarterly,2012,33(9):1669-1683.[5]EUNSOOK HONG, ROBERTA M，MILGRAM.Preventing talent loss[M].UK：Taylor and Francis,2011.[6]WADHWA, VIVEK.An outflow of talent: nativism and the US reverse brain drain[J].Harvard International Review,2009,31(1):76-80.[7]刘月轩,兰红霞.企业文化与高层次科技人才流失的关系研究[J].中国统计,2013(4):47-48.[8]邵建平,李芳红.欠发达地区核心人才流失与地域认同度关系实证研究[J].科技进步与对策,2012,29(13):28-31.[9]曾晓娟,刘元芳.创新之忧:中国科技人才流失严重[J].科学管理研究,2008(3):91-94.[10]徐宁.国有企业科技人才流失问题研究[J].科技管理研究,2005(9):219-221.[11]陈春花,肖智星.人才流动的微观动因分析[J].科技进步与对策,2000(6):104-105.[12]王克平,冯晓娜,汤坚玉,等.基于嵌入性理论的企业竞争情报危机预警研究[J].情报理论与实践,2012,35(12):52-57+46.[13]傅广宛,杨宝强.嵌入理论视角下智库行政化现象研究[J].理论与改革,2016(1):94-97.[14]严毛新.嵌入视角下推进大学生创业教育[J].中国高教研究,2014(7):75-80.[15]孟韬.嵌入视角下的大学网络治理机制解析[J].教育研究,2011,32(4):80-84.[16]王馨,秦铁辉.基于嵌入理论的人际情报网络影响因素模型研究[J].情报理论与实践,2009,32(10):13-16+20.[17]郭旭,孙晓华,徐冉.论产业技术政策的创新效应——需求拉动,还是供给推动[J].科学学研究,2017,35(10):1469-1482.[18]李仲飞,张浩.成本推动、需求拉动——什么推动了中国房价上涨[J].中国管理科学,2015,23(5):143-150.[19]董文超,赵健艾,张泽宜.最终需求拉动下的中国碳排放研究[J].自然资源学报,2014,29(5):769-778.[20]刘凯宁,樊治平,李永海.考虑多因素关联情形的企业发展战略选择的SDV方法[J].管理学报,2014,11(12):1766-1774.[21]MOHAMED ABDEL-BASSET,GUNASEKARAN MANOGARAN,MAI MOHAMED.Internet of things (IoT) and its impact on supply chain: a framework for building smart, secure and efficient systems[J].Future Generation Computer Systems,2018,86:614-628.[22]ASMITA PANDEY,AMIT KUMAR.Commentary on "evaluating the criteria for human resource for science and technology (HRST) based on an integrated fuzzy AHP and fuzzy DEMATEL approach"[J].Applied Soft Computing,2017,51:351-352.[23]JULIANA SARA,ROB M STIKKELMAN,PAULIEN M HERDER.Assessing relative importance and mutual influence of barriers for CCS deployment of the ROAD project using AHP and DEMATEL methods[J].International Journal of Greenhouse Gas Control,2015（41）:336-357.[24]袁凌,李皓.我国商业银行人才流失控制评价模型[J].系统工程,2008(2):112-115. |
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