Advertisement

Logistic Model-Based Evaluation of Anti-counterfeiting Effectiveness for Consumer Goods: Based on Cognition of Companies and Consumers

  • Liu XiaEmail author
  • Tang Wanjin
  • Liu Bisong
  • Li Ya
  • Wu Qian
  • Liu Tiezhong
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 532)

Abstract

Anti-counterfeiting enforcement, as an important means of supervising product quality in China, plays a vital role in safeguarding and improving the quality of products. Over recent years, however, the emergence of new consumer goods is shadowed by fake or inferior products that come up one after another. Do the anti-counterfeiting actions carried out by the government really play a part in the maintenance of market order and the improvement of product quality? These problems have attracted more and more attention of consumers and enterprises. In this paper, a random sampling method is employed to select two research objects across the country: consumers and enterprises. A logistic regression model is applied to the evaluation of anti-counterfeiting effectiveness towards enterprises and consumers. It is found that about 45.9% of consumers are satisfied with anti-counterfeiting enforcement, and about 45.1% of the enterprises are pleased with anti-counterfeiting actions, suggesting that anti-counterfeiting enforcement needs strengthening. Moreover, there is a long way to go before anti-counterfeiting work satisfies companies and consumers.

Keywords

Government agencies Organization performance management Counterfeit consumer goods Evaluation of effectiveness 

Notes

Acknowledgments

This paper has been funded by the national key research and development project “Research on key technical standards for quality and safety control of consumer goods” (2016YFF02022600), and the central basic research business project “Research on method for consumer product safety risk assessment based on the simulation technology—taking children’s products as an example” (552015Y-3990), and the project “Development of general chemical safety standard for 10 consumer products” (201510203).

References

  1. 1.
    M. Hao, Research on anti-counterfeit enforcement governance of product quality. J. Guangxi Univers. 6 (2016)Google Scholar
  2. 2.
    M. Chen, S.X. Tong, X. Youquan, Z. Boyi, Quality Supervision Bureau, Qingpu District, Shanghai: Practice and thinking on network anti-counterfeit enforcement. China Qual. Tech. Super. 10 (2015)Google Scholar
  3. 3.
    Y. Tengfei, H. Maqin, Thinking on the issues of “Large Numbers of Fakes” and “Hard Anti-counterfeit” from the perspective of economics. Contemp. Eco. 4 (2013)Google Scholar
  4. 4.
    Z. Zhu, Differences between domestic anti-counterfeit and international anti-counterfeit. Qual. Standard. 12 (2016)Google Scholar
  5. 5.
    Z. Huijun, Exploration on the issues of professional anti-counterfeit. Qual. Stand. 3 (2017)Google Scholar
  6. 6.
    S. Jingjing, Combating against the “Latent Rules” of Fake Products – “Sword of Quality Control” Typical Case of Anti-counterfeit Special Action announced by AQSIQ in 2016, China Quality Technical Supervision 2016/12 (2016)Google Scholar
  7. 7.
    B. Qianwen, Z. Chunyan, Static comparison and dynamic analysis of the hazards of fake and forged products. J. Shandong Inst. Bus. Technol. 3 (2016)Google Scholar
  8. 8.
    B. Zheng, Explanation on the difficulties of governing the Fake and Shoddy Phenomenon in China Based on Game Theory. Modern Econ. Inf. 11 (2016)Google Scholar
  9. 9.
    Q. Jinhua, L. Kai, On the current professional anti-counterfeit phenomenon and response. China Bus. Admin. Res. 7 (2014)Google Scholar
  10. 10.
    Q. Ruoying, Current situation and countermeasures analysis of rural fake and Shoddy goods market. Enterprise Technol. Dev. 9 (2016)Google Scholar
  11. 11.
    Z. Zhu, Differences between domestic and foreign anti-counterfeit. Qual. Standard. 12 (2016)Google Scholar
  12. 12.
    L. Jinchun, Why do fake and shoddy goods appear endlessly - Economic thinking of anti-counterfeit measures. Modern Econ. Inf. 4 (2014)Google Scholar
  13. 13.
    Z.A. Collier, S. Walters, D. DiMase, et al., A semi-quantitative risk assessment standard for counterfeit electronics detection. SAE Int. J. Aerosp. 7(1), 171–181 (2014)CrossRefGoogle Scholar
  14. 14.
    S.H. Ang, P.S. Cheng, et al., Spot the difference: Consumer responses towards counterfeits. J. Consum. Mark. 18(3), 219–235 (2001)CrossRefGoogle Scholar
  15. 15.
    V.V. Cordell, R.L. Kieschnick, et al., Counterfeit purchase intentions: role of lawfulness attitudes and product traits as determinants. J. Bus. Res. 35, 41–53 (1996)CrossRefGoogle Scholar
  16. 16.
    Tan, Understanding consumer ethical decision making with respect to purchase of pirated software. J. Consum. Mark. 19, 96–111 (2002)CrossRefGoogle Scholar
  17. 17.
    S. John, Cracking down on counterfeit parts. Assembly 59(7), 69–77 (2016)Google Scholar
  18. 18.
    A. Chia, L.S. Mee, The effects of issue characteristics on the recognition of moral issues. J. Bus. Ethics 27(3), 255–269 (2000)CrossRefGoogle Scholar
  19. 19.
    J. Kujala, A multidimensional approach to Finnish managers’ moral decision-making. J. Bus. Ethics 34, 231–254 (2001)CrossRefGoogle Scholar
  20. 20.
    T.W. Dunfee, N. Craig Smith, W.T. Ross Jr., Social contracts and marketing ethics. J. Mark. 63(3), 14–32 (1999)CrossRefGoogle Scholar
  21. 21.
    D. DiMase, Z.A. Collier, J. Carlson, R.B. Traceability and risk analysis strategies for addressing counterfeit electronics in supply chains for complex systems. Risk Anal. 36(10), 1834–1843 (2016). https://doi.org/10.1111/risa.12536 CrossRefGoogle Scholar
  22. 22.
    D. Jin, Y. Qing, Y. Lihua, A Study of Moral Decisions on Consumer Purchasing Counterfeit Product Behavior. 2011 International Conference on Computer Science and Service System, CSSS 2011. pp. 2937–2942Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Liu Xia
    • 1
    Email author
  • Tang Wanjin
    • 1
  • Liu Bisong
    • 1
  • Li Ya
    • 1
  • Wu Qian
    • 1
  • Liu Tiezhong
    • 2
  1. 1.Quality Management Branch of China National Institute of StandardizationBeijingChina
  2. 2.School of Management and Economics, Beijing Institute of TechnologyBeijingChina

Personalised recommendations