• DocumentCode
    3155420
  • Title

    Exploring Imagery-driven Service Framework on Social Network Service

  • Author

    Yuan-Chu Hwang ; Wei-Cheng Shiau

  • Author_Institution
    Dept. of Inf. Manage., Nat. United Univ., Miao-Li, Taiwan
  • fYear
    2012
  • fDate
    26-29 Aug. 2012
  • Firstpage
    1117
  • Lastpage
    1122
  • Abstract
    Service science aims to seek reciprocal value creation to increase the productivity, quality, and opportunities of innovation. How social network services (SNS) could aggregate the energy power to link the needs of customers and shape the designs for better service utilization is an important issue in social network research. In this paper, we concentrate on the imagery-driven innovation approach that highlights how the service imagery could influence the user behaviors and activities in the social network services. An imagery framework for social network services is proposed that explore the opportunities and encourage imagery-driven innovation on SNS. The SNS imagery framework also provides a blueprint to establish service roadmap for future social network services. Qualitative analyses on multiple cases are studied to support the SNS imagery framework.
  • Keywords
    Web services; customer services; innovation management; social networking (online); SNS imagery framework; customer needs; energy power; imagery-driven innovation approach; imagery-driven service framework; qualitative analyses; reciprocal value creation; service imagery; service roadmap; service science; service utilization; social network research; social network service; user activity; user behaviors; Abstracts; Cognition; Force; Interviews; Psychology; Social network services; Technological innovation; service imagery; service innovation; social network services (SNS);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-2497-7
  • Type

    conf

  • DOI
    10.1109/ASONAM.2012.192
  • Filename
    6425608