工业工程 ›› 2018, Vol. 21 ›› Issue (5): 18-23.doi: 10.3969/j.issn.1007-7375.2018.05.003

• 专题论述 • 上一篇    下一篇

基于DEA的玩性人格与团队创新行为效率研究

苏海涛1, 翟江辉1, 邱彦深2   

  1. 1. 南昌大学 经济与管理学院 江西 南昌 330031;
    2. 三鑫医疗科技有限公司 江西 南昌 330200
  • 收稿日期:2017-12-06 出版日期:2018-10-30 发布日期:2018-11-05
  • 作者简介:苏海涛(1963-),男,河南省人,教授,博士,硕士生导师,主要研究方向为质量管理与控制、人工智能研究
  • 基金资助:
    江西省研究生创新专项项目(YC2017-S028);国家自然科学基金资助项目(51765043)

Research on the Efficiency of Playing Personality and Team Innovation Based on DEA

Su Haitao1, Zhai Jianghui1, Qiu Yanshen2   

  1. 1. College of Economics and Management, Nanchang University, Nanchang 330031, China;
    2. Sanxin Medical Technology Co., Ltd., Nanchang 330200, China
  • Received:2017-12-06 Online:2018-10-30 Published:2018-11-05

摘要: 评价不同企业员工玩性人格对团队创新行为效率的影响程度。针对创新行为多方面输出、玩性人格多种类输入的特点,使用层次分析法(AHP)转化多种因素成相应的综合指标;利用数据包络分析(DEAP、编程排序)评价各个企业的综合创新行为效率。结果表明:长安、格力、海能达、华宇四个企业玩性人格控制较好,其他企业都处于规模报酬递增状态。在此基础上,以长安汽车作为标杆企业,对其他企业玩性人格的影响行为提出合理的对策,提高企业的创新行为

关键词: 创新行为, 玩性人格, 规模报酬, 数据包络分析, 标杆

Abstract: A research is conducted into evaluating the degree of influence of employee personality of different companies on the efficiency of team innovation. Aiming at the characteristics of multi-facet output of innovation behavior and multi-type input of playful personality, AHP is used to transform various factors into corresponding comprehensive indicators, and data envelopment analysis (DEAP, programming sequencing) is used to evaluate the comprehensive innovation of each enterprise behavioral efficiency. The results show that:the four companies under research, i. e. Changan, Gree, Hainengda, and Huayu, have good control of playful personality, and other companies are in a state of increasing returns to scale. On this basis, taking Changan Automobile as a benchmarking company, reasonable countermeasures for the influence behaviors of other enterprises' playful personality and for the improvement of the company's innovative behavior are proposed.

Key words: innovative behavior, playful personality, scale pay, data envelopment analysis(DEA), benchmark

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