›› 2017, Vol. 29 ›› Issue (2): 106-113.

• 市场营销 • 上一篇    下一篇

智能消费产品的关键智能要素实证研究

李韬奋1,2, 郭鹏1, 杨水利2   

  1. 1. 西北工业大学管理学院, 西安 710072;
    2. 西安理工大学经济与管理学院, 西安 710054
  • 收稿日期:2016-03-14 出版日期:2017-02-28 发布日期:2017-03-16
  • 作者简介:李韬奋,西北工业大学管理学院博士研究生,西安理工大学经济与管理学院讲师;郭鹏,西北工业大学管理学院教授,博士生导师,博士;杨水利,西安理工大学经济与管理学院教授,博士生导师,博士。
  • 基金资助:
    陕西省软科学研究计划项目(2014KRM11-13);陕西省教育厅专项科研计划项目(13JK0217);陕西省社科基金年度项目(2016R017);西安市科技局软科学研究项目(2016039SF/RK02(04))。

Empirical Study on the Key Intelligent Factors of Intelligent Consumer Products

Li Taofen1,2, Guo Peng1, Yang Shuili2   

  1. 1. School of Management, Northwestern Polytechnical University, Xi'an 710072;
    2. School of Economics and Management, Xi'an University of Technology, Xi'an 710054
  • Received:2016-03-14 Online:2017-02-28 Published:2017-03-16

摘要: 在文献阅读和实例分析的基础上,提炼出了25个智能消费产品的智能要素测量题项,然后通过问卷调查收集数据,采用因子分析和回归分析等方法对智能消费产品关键智能要素的构成维度以及各维度对于智能消费产品用户体验的影响进行了实证研究。研究结果表明:智能消费产品的关键智能要素由实时监测、智能交互、自治性、优化能力和移动互联5个维度构成;自治性是最重要的维度,其后依次是实时监测、优化能力、智能交互和移动互联。基于研究结论,有针对性地提出了制造企业智能消费产品开发的对策和建议。

关键词: 智能消费产品, 关键智能要素, 实证研究

Abstract: On the basis of literature review and case analysis, twenty-five intelligent elements' measurement items of intelligence consumer products are extracted. Then through the questionnaire collected data, the dimensions of key intelligent factors and their effect for user experience are empirically researched by the methods of factor analysis and regression analysis. The research results indicate that the key intelligent factors of intelligent consumer products consists of five main dimensions, which are real-time monitoring, intelligent control, automation, optimization ability and mobile Internet. Among these factors, the most significant one is autonomy, followed in turn by real-time monitoring, intelligent interaction, optimization capabilities and mobile internet. Based on the research conclusions, countermeasures and suggestions for the development of intelligent consumer products in manufacturing enterprises are given in the end of the paper.

Key words: intelligence consumer product, key intelligent factors, empirical study