科研管理 ›› 2011, Vol. 32 ›› Issue (9): 83-90,124.

• 论文 • 上一篇    下一篇

基于生存分析方法的企业信息技术采纳研究

余翠玲1, 毕新华2, 齐晓云3   

  1. 1. 国家计算机网络应急技术处理协调中心,北京 100029;
    2. 吉林大学管理学院,吉林 长春 130022;
    3. 中国民航大学,安全科学与工程学院,天津 300300
  • 收稿日期:2010-01-18 修回日期:2010-09-20 出版日期:2011-09-27 发布日期:2011-09-22
  • 作者简介:余翠玲(1982-),女(汉),湖北咸宁人,国家计算机网络应急技术处理协调中心,助理研究员。研究方向:管理信息系统。毕新华(1962-),男(汉),黑龙江虎林人,吉林大学管理学院教授,博士。研究方向:管理信息系统。齐晓云(1984-),女(汉),河北衡水人,中国民航大学讲师,博士。研究方向:管理信息系统。
  • 基金资助:

    吉林省科技发展计划资助项目(20090648),起止时间:2009.8-2010.12。

Information technology adoption using survival analysis technique

Yu Cuiling1, Bi Xinhua2, Qi Xiaoyun3   

  1. 1. National Computer Network Emergency Response Technical Team/CoordinationCenter of China, Beijing 100029, China;
    2. School of Management, Jilin University, Changchun 130022, China;
    3. College of Safety Science & Engineering, Civil Aviation University of China, Tianjin 300300, China
  • Received:2010-01-18 Revised:2010-09-20 Online:2011-09-27 Published:2011-09-22

摘要: 基于205家企业信息化建设的调研数据,采用生存分析方法对我国企业信息技术采纳的动态规律进行研究。首先将企业应用的典型信息技术分为五种类型:财务/人事系统、其它单/多部门业务应用系统、全局集成应用系统、跨企业应用系统、技术型系统。使用Kaplan-Meier法比较不同特征企业对这五类信息技术采纳状况的差异,得到的生存曲线能够反映研究期间任一时点不同企业对某种技术的动态采纳率。利用Cox回归模型对各企业特征对信息技术采纳的影响进行考察,结果指出企业所有制、行业类型、规模、组织结构、竞争程度、行业地位、成长阶段对五类技术的采纳的影响不同,并揭示了不同特征企业对这五类技术的采纳趋势。

关键词: 信息技术, 信息技术采纳, 生存分析

Abstract: Base on the survey data of informatization construction of 205 enterprises in China, the survival analysis technique was used to study the dynamic law of Information Technology (IT) adoption of Chinese enterprises. Enterprise IT applications were categorized into five types, that is, finance/accounting/human resource management system, the other single/multi function application system, overall integration application system, multi enterprise application system, and technological application system. The method of Kaplan-Meier was used to compare the difference of survival time of IT adoption for heterogeneous enterprises, and the resulting survival functions could reflect the dynamic adoption proportion at any particular time. Then Cox regression model was used to examine the impact of enterprise characteristics on IT adoption. The result indicates the direction and significance of the impact of each enterprise characteristics on the five types of technologies, respectively. It demonstrates that the ownership, industry type, size, organizational structure, competition level, industrial position of enterprises, and growth stage have different impact on the adoption of target technologies, and the adoption trend of the five types of technologies for heterogeneous enterprises are also revealed.

Key words: information technology, information technology adoption, survival analysis

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