• DocumentCode
    32651
  • Title

    Big Data and IT-Enabled Services: Ecosystem and Coevolution

  • Author

    Chae, Bongsug Kevin

  • Author_Institution
    Kansas State Univ., KS, USA
  • Volume
    17
  • Issue
    2
  • fYear
    2015
  • fDate
    Mar.-Apr. 2015
  • Firstpage
    20
  • Lastpage
    25
  • Abstract
    Big data goes beyond datasets and is more than an IT priority. This article positions big data in the context of business, technology, and innovation, and presents a service-oriented and evolutionary view of big data as a case of disruptive IT-enabled innovation. Big data services are IT-enabled services that emerge as a result of combining diverse data-focused resources from the ecosystem of technologies, market needs, social actors, and other institutional contexts. These services have already had far-reaching effects on business practices. The big data services ecosystem has changed over time through an evolutionary process of variation and selective retention. Businesses and governments should actively experiment with novel big data services by dynamically configuring heterogeneous resources from the ever-changing big data ecosystem.
  • Keywords
    Big Data; DP management; innovation management; Big Data service ecosystem; IT-enabled services; business sector; data-focused resources; disruptive IT-enabled innovation; dynamically configured heterogeneous resources; institutional contexts; market needs; service-oriented-evolutionary analysis; social actors; technology ecosystem; technology sector; Big data; Business; Context; Ecosystems; Medical services; Technological innovation; Twitter; IT-enabled service; big data; cloud; data analysis; ecosystem; evolution;
  • fLanguage
    English
  • Journal_Title
    IT Professional
  • Publisher
    ieee
  • ISSN
    1520-9202
  • Type

    jour

  • DOI
    10.1109/MITP.2015.17
  • Filename
    7089053