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

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Abstract

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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Authors and Affiliations

  1. School of Economics and Management, Taishan University, No. 525 Dongyue Street, Daiyue District, Taian, Shandong, 271000, China

    Chang Liu

  2. School of Business, Kyungpook National University, 80 Daehakro, Bukgu, Daegu, 41566, South Korea

    Eun-Mi Park

  3. School of Management Engineering, Qingdao Technological University, No. 2 The Yangtze River Road, Huangdao District, Qingdao, Shangdong, 266520, China

    Fengzhen Jiang

Authors
  1. Chang Liu
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  2. Eun-Mi Park
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  3. Fengzhen Jiang
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Correspondence to Fengzhen Jiang.

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Liu, C., Park, EM. & Jiang, F. Examining effects of context-awareness on ambient intelligence of logistics service quality: user awareness compatibility as a moderator. J Ambient Intell Human Comput 11, 1413–1420 (2020). https://doi.org/10.1007/s12652-018-1004-z

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  • DOI: https://doi.org/10.1007/s12652-018-1004-z

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