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Cited by 341

The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.

The role of block chain technology in circular economy practices to improve organisational performance

Rehman Khan, Syed Abdul, Yu, Zhang, Sarwat, Salman, Godil, Danish Iqbal, Amin, Sumeela, Shujaat, Sobia·2022·International Journal of Logistics Research and Applications

Abstract

This paper aims to examine the role of blockchain technology for the circular economy to enhance organisational performance in the context of China–Pakistan-Economic-Corridor (CPEC). A close-ended questionnaire-based survey of manufacturing firms was administered to collect cross-sectional data from 290 respondents, which has been analysed through structural equation modelling. The circular economy approach in supply chain management offers environmental as well as economic benefits to the organisations. With the beginning of the Industry 4.0 era, there is an emphasis on technology in every field. A relatively recent phenomenon of blockchain technology promises lots of potential improvement in business operations. According to our results, with features such as visibility, transparency, relationship management, and smart contracting, blockchain technology was found to play a positive role in the circular economy. Furthermore, green practices were found to have a positive nexus with environmental and economic pathways to the firms’ performance, whereas environmental performance was also found to have a positive nexus with the economic health of the firm. Last but not the least, both environmental and economic performances were found to be the cause of a boost in organisational performance.

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Cites

Show all 66 references

Research works printed but not linked: 17

  1. 10.1504/IJSOM.2019.100291 · doi:10.1504/ijsom.2019.100291
  2. Cole R., 2019, Supply Chain Management: An International Journal
  3. Hair, J. F., W. C. Black, B. J. Babin, R. E. Anderson, and R. L. Tatham. 2006. Multivariate Data Analysis, 1–816. Upper Saddle River, NJ: Pearson Prentice Hall.
  4. Jeffries A., 2018, The Verge, 7, 2018
  5. Khan S. A. R., 2020, International Journal of Logistics Research and Applications
  6. Khan S. A. R., 2020, Strategic Supply Chain Management. EAI/Springer Innovations in Communication and Computing
  7. Kock N., 2015, International Journal of e-Collaboration (IJeC), 11, 21
  8. Kouhizadeh M., 2019, Production Planning & Control, 31, 1
  9. Miles R. E., 2008, Organizational Strategy, Structure, and Processes
  10. Murphy J., 2000, Geoforum; Journal of Physical, Human, and Regional Geosciences, 35, 1249
  11. Mwangi E. N., 2017, IOSR Journal of Humanities and Social Science, 22, 08, 10.9790/0837-2205050814 · doi:10.9790/0837-2205050814
  12. Sharma R., 2020, International Journal of Logistics-Research and Applications
  13. 10.1088/1757-899X/546/5/052072 · doi:10.1088/1757-899x/546/5/052072
  14. Werbach K., 2018, Berkeley Tech. LJ, 33, 487
  15. 10.1108/K-01-2015-0034 · doi:10.1108/k-01-2015-0034
  16. Zhang Y., 2020, Journal of Advanced Manufacturing Systems, 19, 101
  17. Zhang Y., 2020, Waste Management & Research

Cited by

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Metadata

Authors
Rehman Khan, S. A., Yu, Z., Sarwat, S., Godil, D. I., Amin, S., & Shujaat, S.
Venue
International Journal of Logistics Research and Applications
Published
2021-01-11
Volume
25
Issue
4-5
Pages
605-622
ISSN
  • 1367-5567 (ISSN-L)
  • 1469-848X
OpenAlex
W3118758084
Cited by
341
References
66
FWCI
53.35
Type
journal article
Language
en
Open access
closed
Funders
  • China Postdoctoral Science Foundation (2019M660700)
  • Beijing Key Laboratory of Megaregions Sustainable Development Modelling, Capital University of Economics and Business (MCR2019QN09)

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CoChat. (2026). Citation check: The role of block chain technology in circular economy practices to improve organisational performance. https://app.cochat.ai/papers/10.1080/13675567.2021.1872512
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Rehman Khan, S. A., Yu, Z., Sarwat, S., Godil, D. I., Amin, S., & Shujaat, S. (2022). The role of block chain technology in circular economy practices to improve organisational performance. International Journal of Logistics Research and Applications. https://doi.org/10.1080/13675567.2021.1872512

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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