Cross-document textual contamination and topic mismatch in Jiang Li (2015) "Research on Sports Goods Logistics under E-commerce Mode"

Academic fraud report · Geng Detector

Summary

This integrity review examines the article "Research on Sports Goods Logistics under E-commerce Mode" (Jiang Li, Logistics Technology, Vol. 34, Issue 7, 2015; DOI 10.3969/j.issn.1005-152X.2015.07.030). The verdict is a strong red flag for textual contamination and likely careless cross-document copy-paste. The most decisive finding is the presence, after the closing section and the primary reference list, of a residual fragment beginning "(上接第 5 页) 的转型升级……" describing a city smart-distribution evaluation system, followed by an unrelated second block of 23 references on smart cities and supply chains. The author's stated research profile (English poetry and poetry theory, sports sociology) is also inconsistent with the paper's logistics-economics vocabulary, and several cited references cover electric bicycles, budget travel, and cloud-based e-commerce platforms, only weakly connected to the core topic. Confidence in the contamination finding is high because the textual evidence is direct and verifiable. The author-profile mismatch and off-topic citations are supporting indicators rather than proof of misconduct. No image or quantitative data manipulation was assessed.

Verdict

🔴 Strong red flag — direct textual evidence of cross-document copy-paste and likely sloppy editorial assembly. Confirmed findings of contamination; author-profile mismatch and off-topic citations are supporting indicators and not standalone proof of misconduct.

Key findings

Cross-document textual contamination (critical): After the closing remarks and the main reference list on p. 91, a residual fragment appears beginning "(上接第 5 页) 的转型升级，已呈现美好的发展前景。城市智慧配送运作模式的评价具有动态性……", introducing an evaluation framework for urban smart-distribution. A second block of 23 references follows, covering smart-city and supply-chain literature unrelated to sports-goods logistics.
Residual layout marker preserved: The phrase "(上接第 5 页)" — a typesetting continuation cue — was not deleted, indicating the text was inserted from another article without cleaning.
Author research-profile mismatch (supporting): The author biography on p. 89 describes Jiang Li (b. 1968), PhD, associate professor, with research interests in English poetry and poetry theory, sports sociology, and social sports, which is poorly aligned with logistics-economics content such as cost-forecasting models and the F2b2C model.
Off-topic or padded references (supporting): Among references [1]–[15], item [8] concerns an electric-bicycle e-commerce platform, [10] concerns a budget-custom-travel e-commerce platform market analysis, and [15] concerns using a cloud program to "customize" an e-commerce platform — only loosely connected to sports-goods logistics and likely padding.

Evidence highlights

Residual paragraph on p. 91 starting with "(上接第 5 页) 的转型升级" describing "城市智慧配送运作模式的评价" — verbatim mismatch with the paper's stated topic of sports-goods e-commerce logistics.
Follow-on block of 23 references focused on smart cities and supply-chain management immediately after the contamination fragment.
Author bio on p. 89: "姜丽（1968-），女，山东海阳人，博士，副教授，研究方向：英诗与诗论、体育社会学和社会体育等。"
Reference list examples flagged as off-topic: [8] electric-bicycle e-commerce platform new model; [10] budget-custom-travel e-commerce platform market analysis; [15] using a cloud program to customize an e-commerce platform.
DOI: 10.3969/j.issn.1005-152X.2015.07.030 (Logistics Technology, 2015, Vol. 34, Issue 7).

Notes

Confidence is high for the contamination finding (direct textual evidence); moderate for the padded-references finding (subjective topical match); low for any claim of ghostwriting or deliberate plagiarism — the contamination could alternatively reflect an editorial/typesetting error during journal production, which the journal itself should clarify.
No figures, images, or quantitative datasets were reviewed for manipulation.
The recommendation channels listed in the source report (PubPeer/Chinese platforms, editorial notification to 物流技术) are reasonable but lie outside this automated review's scope.
This report is an AI-assisted indicator only and does not constitute a formal determination of misconduct.