Examining effects of context-awareness on ambient intelligence of logistics service quality: user awareness compatibility as a moderator

被引：0
作者：
Chang Liu
Eun-Mi Park
Fengzhen Jiang
机构：
[1] Taishan University,School of Economics and Management
[2] Kyungpook National University,School of Business
[3] Qingdao Technological University,School of Management Engineering
来源：
Journal of Ambient Intelligence and Humanized Computing | 2020年 / 11卷
关键词：
Internet of things (IoT); Ambient intelligence (AmI); Context-awareness; SERVQUAL; Logistics service quality;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The internet of things has changed the way we interact with information system. With the pervasive information system facing various complexities of end clients, the development mode based on semantic association and context-awareness made it possible to provide personalized service for each client. In this paper, the context-awareness-based ambient intelligence predicts users’ intention to use depending on the contexts they provide. By applying the prediction to logistics services, it can provide customized service to keep clients satisfied. A key issue in user-centered services is how to detect each user specific situation and choose a certain service that meets users’ requirements the best, and then to provide support for real-time decision making. We believe that the complishment of ambient intelligence cannot be separated from technology support when it comes to intelligent behavior.
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页码：1413 / 1420
页数：7
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