SEM-Based Value Generation Mechanism from Open Government Data in Environment/Weather Sector

  • Xiaoling SongEmail author
  • Charles Shen
  • Lin Zhong
  • Feniosky Peña-Mora
Conference paper
Part of the Lecture Notes on Multidisciplinary Industrial Engineering book series (LNMUINEN)


Environmental issues are harmful effects of human activities on the biophysical environment. More and more citizens are engaged in the open data movement for different purposes, in particular, emerging private companies are being built on Open Government Data (OGD) to predict extreme weather events for environmental protection, to satisfy more social requirements (e.g. job creation) and to make economic profits, simultaneously. Emerging companies are utilizing OGD to generate values. Building on a synthesis of the OGD literature and established theories of value generation, we develop a structural equation modelling (SEM)-based model to explore the causal relationship between OGD and value generation. This study constructs the conceptual structural equation model and lays a foundation for the upcoming research.


SEM Value generation Open government data Environment/weather sector 



This research was supported by the Program of China Scholarship Council (No. 201506240179).


  1. 1.
    Bagozzi RP, Yi Y (1988) On the evaluation of structural equation models. J Acad Mark Sci 16(1):74–94CrossRefGoogle Scholar
  2. 2.
    Bagozzi RP, Yi Y (2012) Specification, evaluation, and interpretation of structural equation models. J Acad Mark Sci 40(1):8–34CrossRefGoogle Scholar
  3. 3.
    Foundation OK (2016) Open data index (2016)Google Scholar
  4. 4.
    Fundation WWW (2016) Open Data Barometer, 3rd edn. (2016).
  5. 5.
    Magalhaes G, Roseira C, Manley L (2014) Business models for open government data. In: Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance. ACM, pp 365–370Google Scholar
  6. 6.
    Network TOG (2016) Open data 500 U.S. (2016).
  7. 7.
    (NRDC) NRDC (2016) Our stories (2015).
  8. 8.
    Oceanic N, (NOAA) AA (2016) Climate data and report (2015).
  9. 9.
    Susha I, Zuiderwijk A et al (2015) Benchmarks for evaluating the progress of open data adoption. Soc Sci Comput Rev 33(5):613–630CrossRefGoogle Scholar
  10. 10.
    Zuiderwijk A, Janssen M (2013) Open data policies, their implementation and impact: a framework for comparison. Gov Inf Q 31(1):17–29CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Xiaoling Song
    • 1
    • 2
    Email author
  • Charles Shen
    • 2
  • Lin Zhong
    • 3
  • Feniosky Peña-Mora
    • 2
  1. 1.School of Economics and ManagementNanjing University of Science and TechnologyNanjingPeople’s Republic of China
  2. 2.Advanced ConsTruction and InfOrmation techNology (ACTION) Laboratory, Department of Civil Engineering and Engineering MechanicsColumbia UniversityNew YorkUSA
  3. 3.Business SchoolSichuan UniversityChengduPeople’s Republic of China

Personalised recommendations