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Social informatics of information value cocreation: A case study of xiaomi's online user community

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  • Loo Geok Pee
  • Shan L. Pan
  • Mingwei Li
  • Suling Jia

Abstract

The perennial issue of information value creation needs to be understood in the contemporary era of a more networked user environment enabled by information technology (IT). This mixed‐methods study investigates information value cocreation from the social informatics perspective to surface sociotechnical implications for IT design and use, since cocreation is inherently social and technology‐mediated. Specifically, the cocreation of software as an information‐intensive product is examined. Data on the cocreation of Xiaomi's MIUI firmware were collected from two sources: 49 interviews of staff and user participants and web crawling of the cocreation platform. They were analyzed with interpretive analysis, topic modeling, and social network analysis for triangulation. Findings indicate three sociotechnical information practices co‐constituted by information, IT, people, and their activities. Each practice is instrumental in rapidly and continuously converting external information into cocreated information value. The adsorption information practice attracts new and diverse external information; the absorption practice integrates external and internal information rapidly by involving users; the desorption practice allows rapid adoption of the cocreated product so that information value can be realized and demonstrated for further cocreation. Critically analyzing these practices reveals unanticipated or paradoxical issues affecting the design and use of common cocreation technology such as discussion forums.

Suggested Citation

  • Loo Geok Pee & Shan L. Pan & Mingwei Li & Suling Jia, 2020. "Social informatics of information value cocreation: A case study of xiaomi's online user community," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(4), pages 409-422, April.
  • Handle: RePEc:bla:jinfst:v:71:y:2020:i:4:p:409-422
    DOI: 10.1002/asi.24252
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    Cited by:

    1. Ye, Lisha & Pan, Shan L & Wang, Jingyuan & Wu, Junjie & Dong, Xiaoying, 2021. "Big data analytics for sustainable cities: An information triangulation study of hazardous materials transportation," Journal of Business Research, Elsevier, vol. 128(C), pages 381-390.
    2. Qian Liu & Zhengfa Yang & Xiaofang Cai & Qianzhou Du & Weiguo Fan, 2022. "The more, the better? The effect of feedback and user's past successes on idea implementation in open innovation communities," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(3), pages 376-392, March.
    3. Thang Muan Piang, 2022. "Working from home during the Covid-19 pandemic and its effect on employees and students," Eximia Journal, Plus Communication Consulting SRL, vol. 5(1), pages 195-240, July.

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