IDEAS home Printed from https://ideas.repec.org/a/eee/telpol/v40y2016i9p837-854.html
   My bibliography  Save this article

Demystifying big data: Anatomy of big data developmental process

Author

Listed:
  • Shin, Dong-Hee

Abstract

This study seeks to understand big data ecology, how it is perceived by different stakeholders, the potential value and challenges, and the implications for the private sector and public organizations, as well as for policy makers. With Normalization Process Theory in place, this study conducts socio-technical evaluation on the big data phenomenon to understand the developmental processes through which new practices of thinking and enacting are implemented, embedded, and integrated in South Korea. It also undertakes empirical analyses of user modeling to explore the factors influencing users׳ adoption of big data by integrating cognitive motivations as well as user values as the primary determining factors. Based on the qualitative and quantitative findings, this study concludes that big data should be developed with user-centered ideas and that users should be the focus of big data design.

Suggested Citation

  • Shin, Dong-Hee, 2016. "Demystifying big data: Anatomy of big data developmental process," Telecommunications Policy, Elsevier, vol. 40(9), pages 837-854.
    • Handle: RePEc:eee:telpol:v:40:y:2016:i:9:p:837-854
    DOI: 10.1016/j.telpol.2015.03.007
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308596115000567
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.telpol.2015.03.007?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shin, Dong-Hee & Yoon, Hongseok & Lee, Jaegil & Moon, Yohan & Kim, Namchul & Cho, Hoyeon, 2014. "A socio-technical framework for Internet-of-Things design," 20th ITS Biennial Conference, Rio de Janeiro 2014: The Net and the Internet - Emerging Markets and Policies 106844, International Telecommunications Society (ITS).
    2. Nir KSHETRI & Lailani L. ALCANTARA & Yonghoon PARK, 2014. "Development of a Smart City and its Adoption and Acceptance: the Case of New Songdo," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(96), pages 113-128, 4th quart.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Yucheng & Xu, Shan & Zhang, Long & Yang, Mengxi, 2021. "Big data and human resource management research: An integrative review and new directions for future research," Journal of Business Research, Elsevier, vol. 133(C), pages 34-50.
    2. Yadegaridehkordi, Elaheh & Hourmand, Mehdi & Nilashi, Mehrbakhsh & Shuib, Liyana & Ahani, Ali & Ibrahim, Othman, 2018. "Influence of big data adoption on manufacturing companies' performance: An integrated DEMATEL-ANFIS approach," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 199-210.
    3. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
    4. Jithesh Arayankalam & Satish Krishnan, 2023. "ICT-Based Country-Level Determinants of Social Media Diffusion," Information Systems Frontiers, Springer, vol. 25(5), pages 1881-1902, October.
    5. Sung-Un Park & Hyunkyun Ahn & Dong-Kyu Kim & Wi-Young So, 2020. "Big Data Analysis of Sports and Physical Activities among Korean Adolescents," IJERPH, MDPI, vol. 17(15), pages 1-11, August.
    6. Orji, Ifeyinwa Juliet & Kusi-Sarpong, Simonov & Huang, Shuangfa & Vazquez-Brust, Diego, 2020. "Evaluating the factors that influence blockchain adoption in the freight logistics industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    7. Shim, Yongwoon & Shin, Don, 2019. "Smartness in techno-nationalism? Combining actor-network theory and institutionalization to assess Chinese smart TV development," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 87-98.
    8. Shahbaz, Muhammad & Gao, Changyuan & Zhai, LiLi & Shahzad, Fakhar & Khan, Imran, 2021. "Environmental air pollution management system: Predicting user adoption behavior of big data analytics," Technology in Society, Elsevier, vol. 64(C).
    9. Md. Morshadul Hasan & Lu Yajuan & Appel Mahmud, 2020. "Regional Development of China’s Inclusive Finance Through Financial Technology," SAGE Open, , vol. 10(1), pages 21582440199, February.
    10. Kamolsook, Apinya & Badir, Yuosre F. & Frank, Björn, 2019. "Consumers' switching to disruptive technology products: The roles of comparative economic value and technology type," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 328-340.
    11. Jaklič, Jurij & Grublješič, Tanja & Popovič, Aleš, 2018. "The role of compatibility in predicting business intelligence and analytics use intentions," International Journal of Information Management, Elsevier, vol. 43(C), pages 305-318.
    12. Shahbaz, Muhammad & Zahid, Rimsha, 2022. "Probing the factors influencing cloud computing adoption in healthcare organizations: A three-way interaction model," Technology in Society, Elsevier, vol. 71(C).
    13. Abhishek Behl & Pankaj Dutta & Stefan Lessmann & Yogesh K. Dwivedi & Samarjit Kar, 2019. "A conceptual framework for the adoption of big data analytics by e-commerce startups: a case-based approach," Information Systems and e-Business Management, Springer, vol. 17(2), pages 285-318, December.
    14. Chunling Zhang & Zunfeng Liu, 2019. "Application of big data technology in agricultural Internet of Things," International Journal of Distributed Sensor Networks, , vol. 15(10), pages 15501477198, October.
    15. Kris Hartley, 2023. "Public Perceptions About Smart Cities: Governance and Quality-of-Life in Hong Kong," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 166(3), pages 731-753, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sung-Un Park & Hyunkyun Ahn & Dong-Kyu Kim & Wi-Young So, 2020. "Big Data Analysis of Sports and Physical Activities among Korean Adolescents," IJERPH, MDPI, vol. 17(15), pages 1-11, August.
    2. Kshetri, Nir, 2016. "Big data’s role in expanding access to financial services in China," International Journal of Information Management, Elsevier, vol. 36(3), pages 297-308.
    3. Kshetri, Nir, 2017. "The evolution of the internet of things industry and market in China: An interplay of institutions, demands and supply," Telecommunications Policy, Elsevier, vol. 41(1), pages 49-67.
    4. Mun-su Park & Hwansoo Lee, 2020. "Smart City Crime Prevention Services: The Incheon Free Economic Zone Case," Sustainability, MDPI, vol. 12(14), pages 1-13, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:telpol:v:40:y:2016:i:9:p:837-854. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30471/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.