Identification of Success Factors for Green Shipping with Measurement of Greenness Based on ANP and ISM

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

Green shipping as an emerging concept which aims to mitigate the negative environmental impacts caused by shipping activities has received more and more attentions recently. However, there is a gap in knowledge how to take the efficacious measures, which makes it difficult for the stakeholders of shipping activities to promote green shipping. In order to fill this gap, this chapter proposed a generic methodology for establishing a criterion evaluation system for greenness assessment of shipping, including the identification of the success factors, the development of some strategic measures, and the analysis of the measures for enhancing the greenness of shipping. A criterion evaluation system which consists of multiple criteria in five aspects including: technological aspect, economic aspect, environmental aspect, social aspect, and managerial aspect has been firstly established. Subsequently, Analytic Network Process (ANP) has been employed to determine the relative importance of these factors in green shipping with the consideration of the interdependences and interactions among these criteria for evaluating the greenness of shipping, and they have been ranked from the most important to the least. Accordingly, the key success factors for green shipping have been obtained. Then, some strategic measures for helping the stakeholders enhance the greenness of shipping have been proposed. Finally, Interpretative Structuring Modeling (ISM) has been employed to analyze the cause-effect relationships among these measures and the features of these measures.

Original languageEnglish
Title of host publicationInternational Series in Operations Research and Management Science
EditorsPaul Tae-Woo Lee, Zaili Yang
PublisherSpringer Publishing Company
Publication date1. Jan 2018
Pages79-103
ISBN (Print)978-3-319-62336-8
ISBN (Electronic)978-3-319-62338-2
DOIs
Publication statusPublished - 1. Jan 2018
SeriesInternational Series in Operations Research and Management Science
Volume260

Fingerprint

shipping
modeling
stakeholder
environmental impact
methodology

Keywords

  • Analytic network process
  • Green shipping
  • Interpretative structuring modeling
  • Structural self-interaction matrix
  • Success factors

Cite this

Ren, J., Lützen, M., & Rasmussen, H. B. (2018). Identification of Success Factors for Green Shipping with Measurement of Greenness Based on ANP and ISM. In P. T-W. Lee, & Z. Yang (Eds.), International Series in Operations Research and Management Science (pp. 79-103). Springer Publishing Company. International Series in Operations Research and Management Science, Vol.. 260 https://doi.org/10.1007/978-3-319-62338-2_4
Ren, Jingzheng ; Lützen, Marie ; Rasmussen, Hanna Barbara. / Identification of Success Factors for Green Shipping with Measurement of Greenness Based on ANP and ISM. International Series in Operations Research and Management Science. editor / Paul Tae-Woo Lee ; Zaili Yang. Springer Publishing Company, 2018. pp. 79-103 (International Series in Operations Research and Management Science, Vol. 260).
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Ren, J, Lützen, M & Rasmussen, HB 2018, Identification of Success Factors for Green Shipping with Measurement of Greenness Based on ANP and ISM. in PT-W Lee & Z Yang (eds), International Series in Operations Research and Management Science. Springer Publishing Company, International Series in Operations Research and Management Science, vol. 260, pp. 79-103. https://doi.org/10.1007/978-3-319-62338-2_4

Identification of Success Factors for Green Shipping with Measurement of Greenness Based on ANP and ISM. / Ren, Jingzheng; Lützen, Marie; Rasmussen, Hanna Barbara.

International Series in Operations Research and Management Science. ed. / Paul Tae-Woo Lee; Zaili Yang. Springer Publishing Company, 2018. p. 79-103 (International Series in Operations Research and Management Science, Vol. 260).

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

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AB - Green shipping as an emerging concept which aims to mitigate the negative environmental impacts caused by shipping activities has received more and more attentions recently. However, there is a gap in knowledge how to take the efficacious measures, which makes it difficult for the stakeholders of shipping activities to promote green shipping. In order to fill this gap, this chapter proposed a generic methodology for establishing a criterion evaluation system for greenness assessment of shipping, including the identification of the success factors, the development of some strategic measures, and the analysis of the measures for enhancing the greenness of shipping. A criterion evaluation system which consists of multiple criteria in five aspects including: technological aspect, economic aspect, environmental aspect, social aspect, and managerial aspect has been firstly established. Subsequently, Analytic Network Process (ANP) has been employed to determine the relative importance of these factors in green shipping with the consideration of the interdependences and interactions among these criteria for evaluating the greenness of shipping, and they have been ranked from the most important to the least. Accordingly, the key success factors for green shipping have been obtained. Then, some strategic measures for helping the stakeholders enhance the greenness of shipping have been proposed. Finally, Interpretative Structuring Modeling (ISM) has been employed to analyze the cause-effect relationships among these measures and the features of these measures.

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BT - International Series in Operations Research and Management Science

A2 - Lee, Paul Tae-Woo

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PB - Springer Publishing Company

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Ren J, Lützen M, Rasmussen HB. Identification of Success Factors for Green Shipping with Measurement of Greenness Based on ANP and ISM. In Lee PT-W, Yang Z, editors, International Series in Operations Research and Management Science. Springer Publishing Company. 2018. p. 79-103. (International Series in Operations Research and Management Science, Vol. 260). https://doi.org/10.1007/978-3-319-62338-2_4