원문정보
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
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