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Green Government Procurement: Decision-Making with Rough Set, TOPSIS, and VIKOR Methodologies

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Information, Models, and Sustainability

Part of the book series: Public Administration and Information Technology ((PAIT,volume 20))

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Abstract

Public and private organizations have started to respond to various stakeholder and market pressures to improve their environmental and social sustainability performance. Government agencies represent one of the most pertinent stakeholders. Government stakeholder pressures to encourage greater organizational sustainability include coercive measures such as penalties, fines, and removal of license to operate if organizations are unable to meet specific regulatory requirements. Yet, noncoercive approaches are also available to government agencies and regulators for encouraging the greening of organizations and markets.

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Notes

  1. 1.

    This term has also been defined as information entropy of a system (Liang and Shi 2004).

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Acknowledgments

This work is supported by the National Natural Science Foundation of China Project (71102090, 71472031); Program for Liaoning Excellent Talents in University (WJQ2014029).

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Authors and Affiliations

  1. School of Management Science and Engineering, Dongbei University of Finance and Economics, Jianshan Street 217, Dalian, 116025, P.R. China

    Chunguang Bai

  2. School of Business, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA, 01609-2280, USA

    Joseph Sarkis

Authors
  1. Chunguang Bai
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  2. Joseph Sarkis
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Corresponding author

Correspondence to Chunguang Bai .

Editor information

Editors and Affiliations

  1. Worcester, Massachusetts, USA

    Jing Zhang

  2. University at Albany, Albany, NY, USA, San Andrés Cholula, Puebla, Mexico

    Luis Felipe Luna-Reyes

  3. Albany, New York, USA

    Theresa A. Pardo

  4. Albany, New York, USA

    Djoko S. Sayogo

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Bai, C., Sarkis, J. (2016). Green Government Procurement: Decision-Making with Rough Set, TOPSIS, and VIKOR Methodologies. In: Zhang, J., Luna-Reyes, L., Pardo, T., Sayogo, D. (eds) Information, Models, and Sustainability. Public Administration and Information Technology, vol 20. Springer, Cham. https://doi.org/10.1007/978-3-319-25439-5_5

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