Service Design for Intelligent Vending Machine-Methods of Service Experience Engineering

• Main Authors: Yi-Ping Hsieh, 謝伊萍
• Other Authors: Kang-Lin Peng
• Format: Others
• Language: zh-TW
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/75584834512532269113

碩士 === 明新科技大學 === 服務事業管理研究所 === 101 === Service science abbreviated from service, engineering, management and design (SSMED) is an interdisciplinary knowledge field for value co-creation among different entities. Based on the framework of SSMED, this research applied service design and design thinking to new generation of intelligent vending machine from users’ orientation to satisfy customers. Case study of T Company was conducted to find a solution for future intelligent vending machine that meets the real needs of users. Regression model and service experience engineering (SEE) methods were applied to verify the insight of user needs. Results show that regression model of cause-effect from service requirements inquiry to service design was significant. SEE methods complete our study to dig out the real needs of users in using prototype of new vending machine. In conclusion, Service requirements inquiry helps service design of intelligent vending machine for users’ real needs. Value co-creation model among entities of T Company, users and researchers were fulfilled through the acting philosophy of SSMED. T Company is moving forward to new generations of vending machines according to the results of our research.