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Social Media Data Inputs in Product Design: Case of a Smartphone

Author

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  • Ashish Kumar Rathore

    (Indian Institute of Technology Delhi)

  • Santanu Das

    (Indian Institute of Technology Delhi)

  • P. Vigneswara Ilavarasan

    (Indian Institute of Technology Delhi)

Abstract

Due to the vast availability of user-generated content, social media is considered useful for businesses to track users’ reactions, preferences and change in sentiments toward a specific product. The rise of social media is transforming the way businesses operate and interact with various related stakeholders and communities tremendously. Many businesses are competing to optimize their strategies and approaches to control this amount of information. The paper presents the importance of using social media content in the new product development and shows a new way of conversational analysis to generate the preliminary findings of an ongoing study. We undertook a case study of mobile phone, Samsung Galaxy S6, and S6 Edge, using two tools (e.g., R and NodeXL) to extract and analyze the Twitter data. Further, we used content analysis and network analysis approaches to get insights based on thematic pattern and topological metrics of social networks. Our findings show that there are considerable differences in the structure of conversational patterns of the two launches durations. The insights on these patterns can be extremely enlightening about early users’ perceptions and value judgments linked with the competing products.

Suggested Citation

  • Ashish Kumar Rathore & Santanu Das & P. Vigneswara Ilavarasan, 2018. "Social Media Data Inputs in Product Design: Case of a Smartphone," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(3), pages 255-272, September.
    • Handle: RePEc:spr:gjofsm:v:19:y:2018:i:3:d:10.1007_s40171-018-0187-7
    DOI: 10.1007/s40171-018-0187-7
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    References listed on IDEAS

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    1. Y. Connie Yuan & Xuan Zhao & Qinying Liao & Changyan Chi, 2013. "The use of different information and communication technologies to support knowledge sharing in organizations: From e‐mail to micro‐blogging," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(8), pages 1659-1670, August.
    2. Sinan Aral & Chrysanthos Dellarocas & David Godes, 2013. "Introduction to the Special Issue ---Social Media and Business Transformation: A Framework for Research," Information Systems Research, INFORMS, vol. 24(1), pages 3-13, March.
    3. Sergio Di Martino & Sara Romano & Michela Bertolotto & Nattiya Kanhabua & Antonino Mazzeo & Wolfgang Nejdl, 2017. "Towards Exploiting Social Networks for Detecting Epidemic Outbreaks," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(1), pages 61-71, March.
    4. Aron Culotta & Jennifer Cutler, 2016. "Mining Brand Perceptions from Twitter Social Networks," Marketing Science, INFORMS, vol. 35(3), pages 343-362, May.
    5. Kaplan, Andreas M. & Haenlein, Michael, 2010. "Users of the world, unite! The challenges and opportunities of Social Media," Business Horizons, Elsevier, vol. 53(1), pages 59-68, January.
    6. Mike Thelwall & Kevan Buckley & Georgios Paltoglou, 2011. "Sentiment in Twitter events," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 62(2), pages 406-418, February.
    7. Kunz, Werner & Schmitt, Bernd & Meyer, Anton, 2011. "How does perceived firm innovativeness affect the consumer?," Journal of Business Research, Elsevier, vol. 64(8), pages 816-822, August.
    8. Purva Grover & Arpan Kumar Kar, 2017. "Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 203-229, September.
    9. S. Vijayakumar Bharathi, 2017. "Prioritizing and Ranking the Big Data Information Security Risk Spectrum," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 183-201, September.
    10. Chae, Bongsug (Kevin), 2015. "Insights from hashtag #supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research," International Journal of Production Economics, Elsevier, vol. 165(C), pages 247-259.
    11. Y. Connie Yuan & Xuan Zhao & Qinying Liao & Changyan Chi, 2013. "The use of different information and communication technologies to support knowledge sharing in organizations: From e-mail to micro-blogging," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(8), pages 1659-1670, August.
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