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

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Proceedings of the Eleventh International Conference on Management Science and Engineering Management (ICMSEM 2017)

Abstract

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.

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Acknowledgements

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

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Correspondence to Xiaoling Song .

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Song, X., Shen, C., Zhong, L., Peña-Mora, F. (2018). SEM-Based Value Generation Mechanism from Open Government Data in Environment/Weather Sector. In: Xu, J., Gen, M., Hajiyev, A., Cooke, F. (eds) Proceedings of the Eleventh International Conference on Management Science and Engineering Management. ICMSEM 2017. Lecture Notes on Multidisciplinary Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-59280-0_29

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  • DOI: https://doi.org/10.1007/978-3-319-59280-0_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59279-4

  • Online ISBN: 978-3-319-59280-0

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