Big Data and IT-Enabled Services: Ecosystem and Coevolution

被引:18
|
作者
Kansas State University, United States [1 ]
机构
来源
IT Prof | / 2卷 / 20-25期
关键词
Business practices - evolution - Evolutionary process - Heterogeneous resources - Institutional contexts - IT enabled services - Selective retention - Service Oriented;
D O I
10.1109/MITP.2015.17
中图分类号
学科分类号
摘要
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. © 1999-2012 IEEE.
引用
收藏
相关论文
共 50 条
  • [1] Global IT and IT-enabled services
    Chau, Michael
    Ball, George L.
    Huang, Jinghua
    Chen, Jian
    Zhao, J. Leon
    INFORMATION SYSTEMS FRONTIERS, 2011, 13 (03) : 301 - 304
  • [2] Global IT and IT-enabled services
    Michael Chau
    George L. Ball
    Jinghua Huang
    Jian Chen
    J. Leon Zhao
    Information Systems Frontiers, 2011, 13 : 301 - 304
  • [3] New horizon of IT-enabled Services
    Uesugi, Shiro
    2012 IEEE/IPSJ 12TH INTERNATIONAL SYMPOSIUM ON APPLICATIONS AND THE INTERNET (SAINT), 2012, : 232 - 232
  • [4] Controlling big data? Unfolding the organisational quest for IT-enabled competitive advantage
    Hartmann, Berit
    Reuter, Christoph
    Strauss, Erik
    SCANDINAVIAN JOURNAL OF MANAGEMENT, 2023, 39 (03)
  • [5] The computation of boundary spanning for the IT-enabled commercial ecosystem
    He Li
    TaoHua Ouyang
    Cluster Computing, 2017, 20 : 3085 - 3098
  • [6] IT-Enabled Information-Intensive Services
    Lim, Chie-Hyeon
    Kim, Kwang-Jae
    IT PROFESSIONAL, 2015, 17 (02) : 26 - 32
  • [7] The computation of boundary spanning for the IT-enabled commercial ecosystem
    Li, He
    Ouyang, TaoHua
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2017, 20 (04): : 3085 - 3098
  • [8] IT-enabled transformation: Lessons from the Financial Services
    Marshall, CL
    Nolan, R
    THIRTIETH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES, VOL 3: INFORMATION SYSTEMS TRACK - ORGANIZATIONAL SYSTEMS AND TECHNOLOGY, 1997, : 257 - 266
  • [9] Ambidextrous governance of IT-enabled services: A pragmatic approach
    Singh, Rajendra
    Baird, Aaron
    Mathiassen, Lars
    INFORMATION AND ORGANIZATION, 2020, 30 (04)
  • [10] Engineering consultancy: An assessment of IT-enabled international delivery of services
    Baark, E
    TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, 1999, 11 (01) : 55 - 74