IDEAS home Printed from https://ideas.repec.org/a/kap/iaecre/v31y2025i1d10.1007_s11294-025-09928-2.html
   My bibliography  Save this article

Inspection Technology: Observable vs. Unobservable Choice

Author

Listed:
  • Vahe Lskavyan

    (Ohio University)

Abstract

In many contexts, a principal, such as a government, relies on inspectors or auditors to monitor companies or individuals to minimize the risks of adverse outcomes, such as environmental hazards or bank failures. In addition to effort, technology has become a crucial factor in this process. Advancements in technology, particularly artificial intelligence, have enhanced the productivity of monitoring efforts. However, rapid technological changes have also increased informational asymmetries regarding the technological capabilities being employed. For example, artificial intelligence washing (the practice of misrepresenting artificial intelligence capabilities to various stakeholders) has become increasingly common and has drawn regulatory scrutiny. This paper examines how the observability of technology influences the inspector's choice of technology in the inspector-inspectee strategic relationship, as well as the associated risk of adverse outcomes, which can be of primary concern to the principal. While prior literature explored cases where technology is unobservable but pre-determined, less is known about situations where both the inspector's choice of technology and effort are unobservable. The results suggest that while higher-capacity technology always reduces the probability of adverse outcomes when technology is observable, the same may not hold ex-ante when technology choice is unobservable. Additionally, when the choice of technology is unobservable, incentives (such as rewards and penalties set by the principal) may be less effective in influencing the inspector's technology choices.

Suggested Citation

  • Vahe Lskavyan, 2025. "Inspection Technology: Observable vs. Unobservable Choice," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 31(1), pages 79-91, May.
  • Handle: RePEc:kap:iaecre:v:31:y:2025:i:1:d:10.1007_s11294-025-09928-2
    DOI: 10.1007/s11294-025-09928-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11294-025-09928-2
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11294-025-09928-2?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Anastassia Fedyk & James Hodson & Natalya Khimich & Tatiana Fedyk, 2022. "Is artificial intelligence improving the audit process?," Review of Accounting Studies, Springer, vol. 27(3), pages 938-985, September.
    2. Luciano Andreozzi, 2004. "Rewarding Policemen Increases Crime. Another Surprising Result from the Inspection Game," Public Choice, Springer, vol. 121(1), pages 69-82, October.
    3. Tim Friehe, 2008. "Correlated payoffs in the inspection game: some theory and an application to corruption," Public Choice, Springer, vol. 137(1), pages 127-143, October.
    4. Guzmán, Cristóbal & Riffo, Javiera & Telha, Claudio & Van Vyve, Mathieu, 2022. "A sequential Stackelberg game for dynamic inspection problems," European Journal of Operational Research, Elsevier, vol. 302(2), pages 727-739.
    5. Guzman, Cristobal & Riffo, Javiera & Telha, Claudio & Van Vyve, Mathieu, 2022. "A Sequential Stackelberg Game for Dynamic Inspection Problems," LIDAM Reprints CORE 3194, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Dechenaux Emmanuel & Samuel Andrew, 2019. "Announced or Surprise Inspections and Oligopoly Competition," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(1), pages 1-20, January.
    7. Ugo Merlone & Giovanni Orlando & Arianna Dal Forno, 2024. "Dynamical inspection game with continuous strategies," Annals of Operations Research, Springer, vol. 337(3), pages 1205-1234, June.
    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. John Bone & Dominic Spengler, 2014. "Does Reporting Decrease Corruption?," Journal of Interdisciplinary Economics, , vol. 26(1-2), pages 161-186, January.
    2. Berno Buechel & Eike Emrich & Stefanie Pohlkamp, 2016. "Nobody’s Innocent," Journal of Sports Economics, , vol. 17(8), pages 767-789, December.
    3. Friehe, Tim, 2013. "Tempting righteous citizens? Counterintuitive effects of increasing sanctions in the realm of organized crime," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 44(C), pages 37-40.
    4. Dong, Xiaoqing & Li, Chaolin & Li, Ji & Wang, Jia & Huang, Wantao, 2010. "A game-theoretic analysis of implementation of cleaner production policies in the Chinese electroplating industry," Resources, Conservation & Recycling, Elsevier, vol. 54(12), pages 1442-1448.
    5. Amir, Rabah & Bose, Arup & Pal, Debashis & Topolyan, Iryna, 2025. "Risk aversion and the punishment paradox in a crime game," Journal of Economic Behavior & Organization, Elsevier, vol. 233(C).
    6. Dominic Spengler, 2012. "Endogenising Detection in an Asymmetric Penalties Corruption Game," Discussion Papers 12/20, Department of Economics, University of York.
    7. Zhang, Yanfang & Gao, Qi & Li, Hao & Shi, Xunpeng & Zhou, Dequn, 2024. "Navigating the energy transition with the Carbon-Energy-Green-Electricity scheme: An industrial chain-based approach for China's carbon neutrality," Energy Economics, Elsevier, vol. 140(C).
    8. A. Antoci & S. Borghesi & G. Iannucci, 2016. "Green licenses and environmental corruption: a random matching model," Working Paper CRENoS 201615, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    9. Spengler Dominic, 2014. "Endogenous Detection of Collaborative Crime: The Case of Corruption," Review of Law & Economics, De Gruyter, vol. 10(2), pages 201-217, July.
    10. Pazoki, Mostafa & Samarghandi, Hamed & Behroozi, Mehdi, 2024. "Increasing supply chain resiliency through equilibrium pricing and stipulating transportation quota regulation," Omega, Elsevier, vol. 127(C).
    11. Buechel, Berno & Emrich, Eike & Pohlkamp, Stefanie, 2013. "Nobody's innocent: the role of customers in the doping dilemma," MPRA Paper 44627, University Library of Munich, Germany.
    12. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    13. Daniel G. Arce, 2007. "Is Agency Theory Self‐Activating?," Economic Inquiry, Western Economic Association International, vol. 45(4), pages 708-720, October.
    14. Friehe, Tim & Miceli, Thomas J., 2015. "Focusing law enforcement when offenders can choose location," International Review of Law and Economics, Elsevier, vol. 42(C), pages 105-112.
    15. Puneet Agarwal & Kyle Hunt & Shivasubramanian Srinivasan & Jun Zhuang, 2020. "Fire Code Inspection and Compliance: A Game-Theoretic Model Between Fire Inspection Agencies and Building Owners," Decision Analysis, INFORMS, vol. 17(3), pages 208-226, September.
    16. Manfred J. Holler & Barbara Klose-Ullmann, 2008. "Wallenstein’s Power Problem and Its Consequences," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 2(3), pages 197-218, December.
    17. Anthony Rossiter & Susan M Hester, 2017. "Designing Biosecurity Inspection Regimes to Account for Stakeholder Incentives: An Inspection Game Approach," The Economic Record, The Economic Society of Australia, vol. 93(301), pages 277-301, June.
    18. Tim Friehe, 2008. "Correlated payoffs in the inspection game: some theory and an application to corruption," Public Choice, Springer, vol. 137(1), pages 127-143, October.
    19. Delia DELIU, 2024. "Professional Judgment and Skepticism Amidst the Interaction of Artificial Intelligence and Human Intelligence," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 22(176), pages 724-741, October.
    20. Manfred J. Holler, 2013. "On Machiavelli’s conspiracy paradoxes," Chapters, in: Francisco Cabrillo & Miguel A. Puchades-Navarro (ed.), Constitutional Economics and Public Institutions, chapter 7, pages 125-145, Edward Elgar Publishing.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • H00 - Public Economics - - General - - - General

    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:kap:iaecre:v:31:y:2025:i:1:d:10.1007_s11294-025-09928-2. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.