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This main purpose of this study is to understand the self-seeking behavior of participants in developed kiosks that provides interactive service at Huashan Creative Park in Taipei City. To understand user self-seeking patterns, log data from actual cases of interactive kiosk service were collected and analysed by web usage mining. This study analysed 5724 sessions of 8 kiosks for the month of December, 2013. Sequential profiles for user self-seeking behavior patterns were captured by applying sequence-based representation schemes in association with Markov models and enhanced Kmean clustering algorithms for sequence behavior mining cluster patterns. Self-seeking use cycle, time, function numbers, and the depth and extent (range) of services were statistically analysed. The analysis results can be used improved the public's acceptance of interactive kiosks and help generate potential recommendations for achieving an intelligent kiosk service.

We describe the design and development of radio-frequency identification (RFID)-based management system in a good and fashion company to enhance operational efficiency. The system is integrated RFID techniques and distributed readers capability to achieve better automation products introduction, inventory control, real-time replenishment, and goods-point reading rate analysis, as well as to improve its quality of service. This research demonstrates the significance and benefits of using RFID technology specifically in the fashion industry. The case study from this effort help to support and further the academic and practitioner literature, especially in the area of RFID systems development. Finally, we address the RFID has successfully to provide the smart-shelf enabled service (SES) and as a useful decision making tool for supervisor.

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