Reputational effects on third-party agents: A study of the market for fine and rare wines

Barbos, Andrei; Hartman, John

doi:10.1016/j.jebo.2023.02.010

Cited by 2 publications

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The geographical origin of wine has a significant impact on its sensory characteristics, chemical composition, and commercial value 1 . With the improvement of people's living standards and the surge in global wine sales, inferior wine with forged geographical labels has seriously threatened consumer health and industry development 2 , and wine origin traceability technology has gradually attracted public attention.…”

Section: Introductionmentioning

confidence: 99%

Research of 2D-COS with metabolomics modifications through deep learning for traceability of wine

Wang,

Ta,

Wei

et al. 2024

Sci Rep

View full text Add to dashboard Cite

To tackle the difficulty of extracting features from one-dimensional spectral signals using traditional spectral analysis, a metabolomics analysis method is proposed to locate two-dimensional correlated spectral feature bands and combine it with deep learning classification for wine origin traceability. Metabolomics analysis was performed on 180 wine samples from 6 different wine regions using UPLC-Q-TOF-MS. Indole, Sulfacetamide, and caffeine were selected as the main differential components. By analyzing the molecular structure of these components and referring to the main functional groups on the infrared spectrum, characteristic band regions with wavelengths in the range of 1000–1400 nm and 1500–1800 nm were selected. Draw two-dimensional correlation spectra (2D-COS) separately, generate synchronous correlation spectra and asynchronous correlation spectra, establish convolutional neural network (CNN) classification models, and achieve the purpose of wine origin traceability. The experimental results demonstrate that combining two segments of two-dimensional characteristic spectra determined by metabolomics screening with convolutional neural networks yields optimal classification results. This validates the effectiveness of using metabolomics screening to determine spectral feature regions in tracing wine origin. This approach effectively removes irrelevant variables while retaining crucial chemical information, enhancing spectral resolution. This integrated approach strengthens the classification model's understanding of samples, significantly increasing accuracy.

show abstract

Section: Introductionmentioning

confidence: 99%

Research of 2D-COS with metabolomics modifications through deep learning for traceability of wine

Wang,

Ta,

Wei

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

Guarding the lifeline: A game‐theoretical approach to combating emergency supplies counterfeits

Wang,

Liu

2024

Manage Decis Econ

View full text Add to dashboard Cite

After emergency incidents, the issue of emergency supplies counterfeiting persists. Relying solely on government intervention often falls short of preventing fraud related to emergency supplies counterfeiting. Hence, this paper explores a new anti‐counterfeiting approach for emergency supplies, led by the government with legitimate manufacturers' support, and establishes a differential game model based on consumer demand, legitimate manufacturers reputation, and anti‐counterfeiting efforts. Upon exploring the anti‐counterfeiting efforts and benefits for two participants, and systems in three scenarios, we find that system benefits, legitimate manufacturer reputation, and respective gains for both participants are the highest in the collaboration scenario. However, compared with a no‐cost‐sharing scenario, the cost‐sharing scenario achieves a Pareto improvement in both social welfare and legitimate manufacturer benefits, with the government choosing to share a portion of the anti‐counterfeiting cost for legitimate manufacturers only under certain conditions.

show abstract

Reputational effects on third-party agents: A study of the market for fine and rare wines

Cited by 2 publications

References 23 publications

Research of 2D-COS with metabolomics modifications through deep learning for traceability of wine

Research of 2D-COS with metabolomics modifications through deep learning for traceability of wine

Guarding the lifeline: A game‐theoretical approach to combating emergency supplies counterfeits

Contact Info

Product

Resources

About