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RETRACTED: Auditing state-owned enterprise through predictive analytics and function transformation

Bo Zhou (School of Economics and Finance, Xi'an Jiaotong University, Xi'an, China)
Abu Bakkar Siddik (School of Management, University of Science and Technology of China (USTC), Hefei, China)
Zheng Guang-Wen (School of Economics and Management, Shaanxi University of Science and Technology, Xi'an, China)

International Journal of Retail & Distribution Management

ISSN: 0959-0552

Article publication date: 9 June 2023

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This article was retracted on 23 Jan 2024.

Retraction notice

The publisher of the International Journal of Retail & Distribution Management wishes to retract the following article, Zhou, B., Siddik, A.B. and Guang-Wen, Z. (2023), “Auditing state-owned enterprise through predictive analytics and function transformation”, International Journal of Retail & Distribution Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJRDM-02-2023-0113

It has come to the attention of the publisher that there are concerns with the handling and peer review of these articles, which were submitted to the special issue ‘Recent trends and advances of information application use in retail, distribution and e-commerce: Marketing and management opportunities, challenges and solutions’. This special issue has now been cancelled. As a result of these concerns, the articles’ findings cannot be relied upon. As trust in the content is central to the integrity of the publication process, the Editor and Publisher have taken the decision to retract all of the articles within this special issue (listed above). The journal has not been able to confirm whether the authors were aware of this attempted manipulation of the publication process. The journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision. The authors would like it to be noted that they are not in agreement with this retraction. This decision is in accordance with Emerald’s publishing ethics and the COPE guidelines on retractions. The publisher of the journal sincerely apologizes to the readers and authors, who were not found to be involved in any malpractice.

Abstract

Purpose

One of the best ways to assist China is through infrastructure investment. China might become more resilient to natural calamities by pouring more money into its transport network. Analyzing the relationship between China's degree of planned expansion and the country's current network of transport hubs can help with city development estimates. A wide range of factors were taken into consideration while evaluating China's dominance and the caliber of its transportation infrastructure. Using a geographical autocorrelation model and a coupling coordination model, the dynamic link between China's adaptability and the caliber of its transportation infrastructure is examined.

Design/methodology/approach

China's northwest is underdeveloped in comparison to the southeast, which has a high level of resilience and development of its transportation infrastructure. The relationship between the levels of resilience upheld by China's transport infrastructure is suggested to be coordinated.

Findings

The authors find a positive geographical autocorrelation between the degree of coupling coordination and the degree of agglomeration, despite the fact that the distance between cities increases with time. They now believe that there is a connection between an area's population density and the degree of interspousal cooperation within. The consequence is an improvement in both national security and economic prosperity. The facilities for disaster management and transportation in China have received several proposals for improvement.

Practical implications

The authors' Practical Implications suggests that scale inefficiency is a major contributor to the relatively poor efficiency of China's primary inland river ports. Different types of inland river ports may have vastly different water system efficiencies. Input and output congestion at China's important interior river ports has reached 51%, making it very clear that massive amounts of valuable port resources are being wasted.

Originality/value

Many variables, such as climate and human error, affect the total amount of goods that can be moved via inner river ports. Ports situated either higher up or lower down the same canal may perform better or worse, respectively, depending on the circumstances.

Keywords

Acknowledgements

Funding: This study was funded by the China Postdoctoral Science Foundation (Grant No. 2019M663757).

Citation

Zhou, B., Siddik, A.B. and Guang-Wen, Z. (2023), "RETRACTED: Auditing state-owned enterprise through predictive analytics and function transformation", International Journal of Retail & Distribution Management, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJRDM-02-2023-0113

Publisher

:

Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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