IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i12p1256-d84288.html

Analyzing Environmental Continuous Improvement for Sustainable Supply Chain Management: Focusing on Its Performance and Information Disclosure

Author

Listed:
  • Koichi Murata

    (Department of Industrial Engineering and Management, College of Industrial Technology, Nihon University, Izumi 1-2-1, Narashino City 2758575, Japan)

Abstract

This study analyzes the relationship between the implementation and information disclosure of environmental continuous improvement (e-CI) in sustainable supply chain management. The analyzed data relates to e-CI delivered from 19 manufacturing industry types in Japan. A degenerated Charnes-Cooper-Rhodes model, a proposed model for data envelopment analysis, is also used for the analysis. The obtained result is a classification of types of manufacturing industries from the perspective of their capabilities in both e-CI implementation and information disclosure to systematically discover emphatic indicators of these two activities in each manufacturing industry type.

Suggested Citation

  • Koichi Murata, 2016. "Analyzing Environmental Continuous Improvement for Sustainable Supply Chain Management: Focusing on Its Performance and Information Disclosure," Sustainability, MDPI, vol. 8(12), pages 1-16, December.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:12:p:1256-:d:84288
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/12/1256/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/8/12/1256/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    2. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    3. Al-Tuwaijri, Sulaiman A. & Christensen, Theodore E. & Hughes, K. II, 2004. "The relations among environmental disclosure, environmental performance, and economic performance: a simultaneous equations approach," Accounting, Organizations and Society, Elsevier, vol. 29(5-6), pages 447-471.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bing Wang & Si Xu & Kung-Cheng Ho & I-Ming Jiang & Hung-Yi Huang, 2019. "Information Disclosure Ranking, Industry Production Market Competition, and Mispricing: An Empirical Analysis," Sustainability, MDPI, vol. 11(1), pages 1-16, January.
    2. Kwang O. Park & Hwalsik Chang & Dae Hyun Jung, 2017. "How Do Power Type and Partnership Quality Affect Supply Chain Management Performance?," Sustainability, MDPI, vol. 9(1), pages 1-16, January.
    3. Kwang O. Park, 2018. "The Relationship between BPR Strategy and Change Management for the Sustainable Implementation of ERP: An Information Orientation Perspective," Sustainability, MDPI, vol. 10(9), pages 1-17, August.
    4. Hai-Na Zhang, 2023. "Coupling System Dynamics Model of Cross Border Logistics and Ecological Environment Based on the Sustainable Perspective of Global Value Chain," Sustainability, MDPI, vol. 15(17), pages 1-23, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Małgorzata Janicka & Artur Sajnóg, 2026. "Environmental Efficiency and Market Value: Using the Data Envelopment Analysis Method to Evaluate Public Companies From the European Union," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 33(3), pages 3447-3467, May.
    2. Małgorzata Janicka & Artur Sajnóg, 2023. "Do environmental and economic performance go hand in hand? An industrial analysis of European Union companies with the non‐parametric data envelopment analysis method," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(5), pages 2590-2605, September.
    3. Burnett, Royce D. & Hansen, Don R., 2008. "Ecoefficiency: Defining a role for environmental cost management," Accounting, Organizations and Society, Elsevier, vol. 33(6), pages 551-581, August.
    4. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499.
    5. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    6. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
    7. Ahmad, Usman, 2011. "Financial Reforms and Banking Efficiency: Case of Pakistan," MPRA Paper 34220, University Library of Munich, Germany.
    8. Michali, Maria & Emrouznejad, Ali & Amin, Gholam R., 2026. "Revisiting the inverse transformation of undesirable factors in data envelopment analysis: A novel iterative algorithm," European Journal of Operational Research, Elsevier, vol. 331(2), pages 587-600.
    9. Büschken, Joachim, 2009. "When does data envelopment analysis outperform a naïve efficiency measurement model?," European Journal of Operational Research, Elsevier, vol. 192(2), pages 647-657, January.
    10. António Afonso & Ana Patricia Montes & José M. Domínguez, 2024. "Measuring Tax Burden Efficiency in OECD Countries: An International Comparison," CESifo Working Paper Series 11333, CESifo.
    11. Jahangoshai Rezaee, Mustafa & Jozmaleki, Mehrdad & Valipour, Mahsa, 2018. "Integrating dynamic fuzzy C-means, data envelopment analysis and artificial neural network to online prediction performance of companies in stock exchange," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 489(C), pages 78-93.
    12. Chai, Naijie & Zhou, Wenliang & Hu, Xinlei, 2022. "Safety evaluation of urban rail transit operation considering uncertainty and risk preference: A case study in China," Transport Policy, Elsevier, vol. 125(C), pages 267-288.
    13. Zhou Wang & Ying Wang, 2023. "A Model of Evaluating State‐owned Railway Companies’ Reforms by Using Euclidean Distance and Data Envelopment Analysis," Transportation Journal, John Wiley & Sons, vol. 62(3), pages 311-330, June.
    14. Lai-Wang Wang & Thanh-Tuyen Tran & Nhu-Ty Nguyen, 2015. "An Empirical Study of Hybrid DEA and Grey System Theory on Analyzing Performance: A Case from Indian Mining Industry," Journal of Applied Mathematics, John Wiley & Sons, vol. 2015(1).
    15. Ravelojaona, Paola, 2019. "On constant elasticity of substitution – Constant elasticity of transformation Directional Distance Functions," European Journal of Operational Research, Elsevier, vol. 272(2), pages 780-791.
    16. Hu, Jin-Li & Wang, Shih-Chuan & Yeh, Fang-Yu, 2006. "Total-factor water efficiency of regions in China," Resources Policy, Elsevier, vol. 31(4), pages 217-230, December.
    17. Adler, Nicole & Friedman, Lea & Sinuany-Stern, Zilla, 2002. "Review of ranking methods in the data envelopment analysis context," European Journal of Operational Research, Elsevier, vol. 140(2), pages 249-265, July.
    18. Keh, Hean Tat & Chu, Singfat, 2003. "Retail productivity and scale economies at the firm level: a DEA approach," Omega, Elsevier, vol. 31(2), pages 75-82, April.
    19. Matthias Klumpp & Dominic Loske, 2021. "Sustainability and Resilience Revisited: Impact of Information Technology Disruptions on Empirical Retail Logistics Efficiency," Sustainability, MDPI, vol. 13(10), pages 1-20, May.
    20. da Silva, Aneirson Francisco & Miranda, Rafael de Carvalho & Marins, Fernando Augusto Silva & Dias, Erica Ximenes, 2024. "A new multiple criteria data envelopment analysis with variable return to scale: Applying bi-dimensional representation and super-efficiency analysis," European Journal of Operational Research, Elsevier, vol. 314(1), pages 308-322.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:8:y:2016:i:12:p:1256-:d:84288. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.