Data-Driven Innovation through Open Government Data

被引:147
|
作者
Jetzek, Thorhildur [1 ]
Avital, Michel [1 ]
Bjorn-Andersen, Niels [1 ]
机构
[1] Copenhagen Business Sch, Dept IT Management, Copenhagen, Denmark
关键词
Open data; Open government data; Big data; Innovation; Value; Generative mechanisms; Critical realism; Opower; ABSORPTIVE-CAPACITY; TRANSPARENCY; CORRUPTION;
D O I
10.4067/S0718-18762014000200008
中图分类号
F [经济];
学科分类号
02 ;
摘要
The exponentially growing production of data and the social trend towards openness and sharing are powerful forces that are changing the global economy and society. Governments around the world have become active participants in this evolution, opening up their data for access and re-use by public and private agents alike. The phenomenon of Open Government Data has spread around the world in the last four years, driven by the widely held belief that use of Open Government Data has the ability to generate both economic and social value. However, a cursory review of the popular press, as well as an investigation of academic research and empirical data, reveals the need to further understand the relationship between Open Government Data and value. In this paper, we focus on how use of Open Government Data can bring about new innovative solutions that can generate social and economic value. We apply a critical realist approach to a case study analysis to uncover the mechanisms that can explain how data is transformed to value. We explore the case of Opower, a pioneer in using and transforming data to induce a behavioral change that has resulted in a considerable reduction in energy use over the last six years.
引用
收藏
页码:100 / 120
页数:21
相关论文
共 50 条
  • [1] Spurring Innovation through Open Government Data for Africa
    Seegolam, Ashwin
    Sukhoo, Aneerav
    Bhoyroo, Vik
    [J]. 2016 IST-AFRICA WEEK CONFERENCE, 2016,
  • [2] Data-Driven Innovation: What is it?
    Luo, Jianxi
    [J]. IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 2023, 70 (02) : 784 - 790
  • [3] Data-Driven Product Innovation
    Fu, Xin
    Asorey, Hernan
    [J]. KDD'15: PROCEEDINGS OF THE 21ST ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2015, : 2311 - 2312
  • [4] Innovation: A data-driven approach
    Kusiak, Andrew
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2009, 122 (01) : 440 - 448
  • [5] Data-driven government: Creating value from Big and Open Linked Data Track: E-government
    Janssen, Marijn
    Attard, Judie
    Alexopoulos, Charalampos
    [J]. PROCEEDINGS OF THE 52ND ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES, 2019, : 2890 - 2891
  • [6] The Nodality Disconnect of Data-Driven Government
    Castelnovo, Walter
    Sorrentino, Maddalena
    [J]. ADMINISTRATION & SOCIETY, 2021, 53 (09) : 1418 - 1442
  • [7] Data-driven innovation: switching the perspective on Big Data
    Trabucchi, Daniel
    Buganza, Tommaso
    [J]. EUROPEAN JOURNAL OF INNOVATION MANAGEMENT, 2019, 22 (01) : 23 - 40
  • [8] Intellectual property and data-driven innovation
    De Miguel Asensio, Pedro Alberto
    [J]. REVISTA ELECTRONICA DE ESTUDIOS INTERNACIONALES, 2022, (43):
  • [9] On the Data-Driven Materials Innovation Infrastructure
    Wang, Hong
    Xiang, X. -D.
    Zhang, Lanting
    [J]. ENGINEERING, 2020, 6 (06) : 609 - 611
  • [10] Data-Driven Business Model Innovation
    Sorescu, Alina
    [J]. JOURNAL OF PRODUCT INNOVATION MANAGEMENT, 2017, 34 (05) : 691 - 696