IDEAS home Printed from https://ideas.repec.org/a/wly/mgtdec/v45y2024i4p2336-2347.html

Do college anti‐plagiarism/cheating policies have teeth in the age of AI? Exploratory evidence from the Internet

Author

Listed:
  • Rajeev K. Goel
  • Michael A. Nelson

Abstract

The advent of artificial intelligence (AI) has challenged academic institutions to ensure ethical practices and reward/promote merit. Adding formal insights into the importance of maintaining academic integrity, this paper examines the association of anti‐plagiarism/anti‐cheating policies with resources that facilitate such behavior. Using unique internet search indices of policies and resources, we find that the two are positively associated. This association is robust when internet policies are restricted to news searches, and include course syllabi. The findings reinforce the view that policies to check plagiarism/cheating likely lack teeth and maybe a step behind the resources that facilitate unethical behavior.

Suggested Citation

  • Rajeev K. Goel & Michael A. Nelson, 2024. "Do college anti‐plagiarism/cheating policies have teeth in the age of AI? Exploratory evidence from the Internet," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(4), pages 2336-2347, June.
    • Handle: RePEc:wly:mgtdec:v:45:y:2024:i:4:p:2336-2347
    DOI: 10.1002/mde.4139
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/mde.4139
    Download Restriction: no
    File URL: https://libkey.io/10.1002/mde.4139?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Edward Wei-Te Hsieh & Rajeev K. Goel, 2019. "Internet use and labor productivity growth: recent evidence from the U.S. and other OECD countries," Netnomics, Springer, vol. 20(2), pages 195-210, December.
    2. William L. Goffe & Kim Sosin, 2005. "Teaching with Technology: May You Live in Interesting Times," The Journal of Economic Education, Taylor & Francis Journals, vol. 36(3), pages 278-291, July.
    3. Alan Collins & Guy Judge & Neil Rickman, 2007. "On the economics of plagiarism," European Journal of Law and Economics, Springer, vol. 24(2), pages 93-107, October.
    4. Kai Wang & Lin Lu & Junyi Fang & Yiwei Xing & Zelin Tong & Lei Wang, 2023. "The downside of artificial intelligence (AI) in green choices: How AI recommender systems decrease green consumption," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(6), pages 3346-3353, September.
    5. Rajeev K. Goel & Edward W.T. Hsieh, 2002. "Internet Growth and Economic Theory," Netnomics, Springer, vol. 4(2), pages 221-225, November.
    6. Goel, Rajeev K. & Nelson, Michael A. & Naretta, Michael A., 2012. "The internet as an indicator of corruption awareness," European Journal of Political Economy, Elsevier, vol. 28(1), pages 64-75.
    7. Rajeev Goel, 2015. "On the demand for smoking quitlines," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(1), pages 201-210, January.
    8. Rajeev Goel & Edward Hsieh & Michael Nelson & Rati Ram, 2006. "Demand elasticities for Internet services," Applied Economics, Taylor & Francis Journals, vol. 38(9), pages 975-980.
    9. Rajeev K. Goel, 2019. "Identity theft in the internet age: Evidence from the U.S. states," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 40(2), pages 169-175, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. German Blanco & Rajeev K. Goel & Rati Ram, 2023. "What drives the production and diffusion of mobile apps? An international investigation," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 828-838, March.
    2. Rajeev K. Goel & Michael A. Nelson, 2025. "Awareness of artificial intelligence: diffusion of AI versus ChatGPT information with implications for entrepreneurship," The Journal of Technology Transfer, Springer, vol. 50(1), pages 96-113, February.
    3. Rajeev K. Goel & Michael A. Nelson, 2021. "COVID-19 internet vaccination information and vaccine administration: evidence from the United States," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(4), pages 716-734, October.
    4. Rajeev Goel, 2009. "Technological complementarities, demand, and market power," Netnomics, Springer, vol. 10(2), pages 161-170, October.
    5. Ishuan Li & Robert Simonson & Guncha Babajanova & Matthew Tuomala, 2016. "Smartphone Diffusion and Consumer Price Comparison Shopping Behavior: Implications for the Marketplace Fairness Act," Economics Bulletin, AccessEcon, vol. 36(3), pages 1337-1353.
    6. Aziz N. Berdiev & Rajeev K. Goel & James W. Saunoris, 2024. "Global cryptocurrency use, corruption, and the shadow economy: New insights into the underlying linkages," American Journal of Economics and Sociology, Wiley Blackwell, vol. 83(3), pages 609-629, May.
    7. Rajeev K. Goel & James R. Jones & Salvatore Capasso, 2025. "Economic Growth Dividends from Global Book Production: Recent Evidence Around the Pandemic," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(4), pages 14762-14782, October.
    8. Edward Wei-Te Hsieh & Rajeev K. Goel, 2019. "Internet use and labor productivity growth: recent evidence from the U.S. and other OECD countries," Netnomics, Springer, vol. 20(2), pages 195-210, December.
    9. Alexei A. Gaivoronski & Per Jonny Nesse & Olai Bendik Erdal, 2017. "Internet service provision and content services: paid peering and competition between internet providers," Netnomics, Springer, vol. 18(1), pages 43-79, May.
    10. Rajeev K. Goel, 2012. "Business regulation and taxation: effects on cross-country corruption," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 15(3), pages 223-242, September.
    11. Sandile Hlatshwayo & Anne Oeking & Mr. Manuk Ghazanchyan & David Corvino & Ananya Shukla & Mr. Lamin Y Leigh, 2018. "The Measurement and Macro-Relevance of Corruption: A Big Data Approach," IMF Working Papers 2018/195, International Monetary Fund.
    12. RAMDANI, Dendi & VAN WITTELOOSTUIJN, Arjen, 2009. "Board independence, CEO duality and firm performance: A quantile regression analysis for Indonesia, Malaysia, South Korea and Thailand," Working Papers 2009004, University of Antwerp, Faculty of Business and Economics.
    13. Tooba Pervaiz Banday & Ekrem Erdem, 2024. "ICT and declining labor productivity in OECD," SN Business & Economics, Springer, vol. 4(3), pages 1-19, March.
    14. Gutmann, Jerg & Padovano, Fabio & Voigt, Stefan, 2020. "Perception vs. experience: Explaining differences in corruption measures using microdata," European Journal of Political Economy, Elsevier, vol. 65(C).
    15. Rajeev K. Goel & Ummad Mazhar & James W. Saunoris, 2021. "Identifying the corrupt cog in the wheel: Dimensions of supply chain logistics and cross‐country corruption," Australian Economic Papers, Wiley Blackwell, vol. 60(4), pages 693-709, December.
    16. Rajeev K. Goel, 2021. "Masquerading the Government: Drivers of Government Impersonation Fraud," Public Finance Review, , vol. 49(4), pages 548-572, July.
    17. Goel, Rajeev K. & Mazhar, Ummad & Sayan, Serdar, 2021. "Strategic location of firms: Does it empower bribe givers or bribe takers?," Economic Systems, Elsevier, vol. 45(3).
    18. Huang, Jiashun & Li, Weiping & Guo, Lijia & Hall, Jim W., 2022. "Information and communications technology infrastructure and firm growth: An empirical study of China's cities," Telecommunications Policy, Elsevier, vol. 46(3).
    19. Singh, Sunny Kumar & Bhattacharya, Kaushik, 2017. "Does easy availability of cash affect corruption? Evidence from a panel of countries," Economic Systems, Elsevier, vol. 41(2), pages 236-247.
    20. Tolu Olarewaju & Jagannadha Pawan Tamvada & Sharin McDowall, 2021. "Generalised Trust and Relation Centrism for Corruption: Evidence from Low- and Middle-Income Countries," Discussion Papers 21-01, Department of Economics, University of Birmingham.

    More about this item

    JEL classification:

    • A20 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - General
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:mgtdec:v:45:y:2024:i:4:p:2336-2347. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/7976 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.