Earticle

초록

영어

The core of service product innovation is to understand the demands of users. Self-service technology has changed the contact mode between users and the service, thus the traditional way to acquire information of users’ demands could no longer meet the requirement of self-service product innovation. The advantages of data mining technology on analyzing and forecasting information can help reveal implication relations between users and products. It can also obtain the potential and valuable information of users’ needs and increase the success rate of product innovation. This study proposed a new self-service product innovation model, and it analyzed and explored the approaches using data mining technology in the process of self-service product innovation to effectively import users’ needs and organize product function design.

목차

Abstract
 1. Introduction
 2. Literature Review
  2.1. Service Product Innovation
  2.2. Data Mining Technology
  2.3. Self-service
 3. Theory Model and Analysis Framework
  3.1. Innovation Conception Model of Self-Service Products
  3.2. Analysis Framework of Self-Service Product Innovation Based on Data Mining Technology
 4. Case Study and Analysis
  4.1. Innovation Mode of Self-service Terminal Product
  4.2. Analyses of Users’ Characteristics and Requirements
  4.3. Design and Integration of Product Functions
  4.4. User-Oriented Product Innovation
 5. Conclusions
  5.1. Research Contributions
  5.2. Future Research Prospect
 References

키워드

저자

• Xiaoren Zhang [ School of Economics and Management, Beihang University, Beijing, China ]
• Xiangdong Chen [ School of Economics and Management, Beihang University, Beijing, China ]
• Ling Ding [ School of Economics and Management, Beihang University, Beijing, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605