IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v173y2016icp30-42.html
   My bibliography  Save this article

Development of a fraud risk decision model for prioritizing fraud risk cases in manufacturing firms

Author

Listed:
  • Mu, Enrique
  • Carroll, James

Abstract

Among the different risks a manufacturing firm faces, one of the most devastating may be caused by internal fraud. Corporate Fraud Investigation Units receive dozens of reports about possible fraud allegations annually. While all allegations should be addressed, it is not possible to investigate all cases immediately due to resource limitations. However, fraud may cause serious production and financial losses at any stage in the supply chain. Thus, it is necessary to find a method to prioritize the fraud risk of cases for the purpose of allocating resources and to determine how quickly they must be addressed. The Analytic Hierarchy Process (AHP) stands out as the most widely used prioritization methodology due to its intuitive simplicity and mathematical rigor. This study combines current SCM risk frameworks with extant fraud investigation literature and best-practices to develop an AHP ratings model for the prioritization of alleged fraud reports in a corporate setting, more specifically in the context of a large metals and mining manufacturing company.

Suggested Citation

  • Mu, Enrique & Carroll, James, 2016. "Development of a fraud risk decision model for prioritizing fraud risk cases in manufacturing firms," International Journal of Production Economics, Elsevier, vol. 173(C), pages 30-42.
    • Handle: RePEc:eee:proeco:v:173:y:2016:i:c:p:30-42
    DOI: 10.1016/j.ijpe.2015.11.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527315005137
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijpe.2015.11.014?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Hales, Douglas N. & Chakravorty, Satya S. & Sridharan, V., 2009. "Testing Benford's Law for improving supply chain decision-making: A field experiment," International Journal of Production Economics, Elsevier, vol. 122(2), pages 606-618, December.
    2. Arnold, Ulli & Neubauer, Joerg & Schoenherr, Tobias, 2012. "Explicating factors for companies’ inclination towards corruption in Operations and supply chain management: An exploratory study in Germany," International Journal of Production Economics, Elsevier, vol. 138(1), pages 136-147.
    3. Tang, Ou & Nurmaya Musa, S., 2011. "Identifying risk issues and research advancements in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 133(1), pages 25-34, September.
    4. Trkman, Peter & McCormack, Kevin, 2009. "Supply chain risk in turbulent environments--A conceptual model for managing supply chain network risk," International Journal of Production Economics, Elsevier, vol. 119(2), pages 247-258, June.
    5. Fan, Ti-Jun & Chang, Xiang-Yun & Gu, Chun-Hua & Yi, Jian-Jun & Deng, Sheng, 2014. "Benefits of RFID technology for reducing inventory shrinkage," International Journal of Production Economics, Elsevier, vol. 147(PC), pages 659-665.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jandhyala, Srividya & Oliveira, Fernando S., 2021. "The role of international anti-corruption regulations in promoting socially responsible practices," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 15-32.
    2. Yuli L. León & Enrique Mu, 2021. "Organizational Mindfulness Assessment and Its Impact on Rational Decision Making," Mathematics, MDPI, vol. 9(16), pages 1-29, August.
    3. Dong, Qingxing & Cooper, Orrin, 2016. "An orders-of-magnitude AHP supply chain risk assessment framework," International Journal of Production Economics, Elsevier, vol. 182(C), pages 144-156.
    4. Anasse Amarouche & Philippe Chapellier & Alain George, 2018. "La gestion des risques dans une chaîne d’approvisionnement [La gestion des risques dans une chaine d'approvisionnement : Le cas de la filière d'approvisionnement en fruits et légumes d'une entrepri," Post-Print hal-02101506, HAL.
    5. Valerica NESTIAN & Silvia ISTRATE & Maria NEAGU, 2019. "A Company Improvement Analysis using the AHP/ANP Methods and the Modern Technology," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 1, pages 62-77.

    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. Rika Ampuh Hadiguna, 2012. "Decision support framework for risk assessment of sustainable supply chain," International Journal of Logistics Economics and Globalisation, Inderscience Enterprises Ltd, vol. 4(1/2), pages 35-54.
    2. Hatem Elleuch & Wafik Hachicha & Habib Chabchoub, 2014. "A combined approach for supply chain risk management: description and application to a real hospital pharmaceutical case study," Journal of Risk Research, Taylor & Francis Journals, vol. 17(5), pages 641-663, May.
    3. Kauppi, Katri & Longoni, Annachiara & Caniato, Federico & Kuula, Markku, 2016. "Managing country disruption risks and improving operational performance: risk management along integrated supply chains," International Journal of Production Economics, Elsevier, vol. 182(C), pages 484-495.
    4. Sreedevi, R. & Saranga, Haritha, 2017. "Uncertainty and supply chain risk: The moderating role of supply chain flexibility in risk mitigation," International Journal of Production Economics, Elsevier, vol. 193(C), pages 332-342.
    5. Neungho Han & Juneho Um, 2024. "Risk management strategy for supply chain sustainability and resilience capability," Risk Management, Palgrave Macmillan, vol. 26(2), pages 1-26, May.
    6. De Lima, Felipe Alexandre & Seuring, Stefan, 2023. "A Delphi study examining risk and uncertainty management in circular supply chains," International Journal of Production Economics, Elsevier, vol. 258(C).
    7. Shao, Xiao-Feng, 2012. "Demand-side reactive strategies for supply disruptions in a multiple-product system," International Journal of Production Economics, Elsevier, vol. 136(1), pages 241-252.
    8. Guertler, Benjamin & Spinler, Stefan, 2015. "Supply risk interrelationships and the derivation of key supply risk indicators," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 224-236.
    9. Chih-Hung Hsu & Ru-Yue Yu & An-Yuan Chang & Wan-Ling Liu & An-Ching Sun, 2022. "Applying Integrated QFD-MCDM Approach to Strengthen Supply Chain Agility for Mitigating Sustainable Risks," Mathematics, MDPI, vol. 10(4), pages 1-41, February.
    10. Jajja, Muhammad Shakeel Sadiq & Chatha, Kamran Ali & Farooq, Sami, 2018. "Impact of supply chain risk on agility performance: Mediating role of supply chain integration," International Journal of Production Economics, Elsevier, vol. 205(C), pages 118-138.
    11. Schmidt, Christoph G. & Wuttke, David A. & Heese, H. Sebastian & Wagner, Stephan M., 2023. "Antecedents of public reactions to supply chain glitches," International Journal of Production Economics, Elsevier, vol. 259(C).
    12. Pasura Aungkulanon & Walailak Atthirawong & Pongchanun Luangpaiboon & Wirachchaya Chanpuypetch, 2024. "Navigating Supply Chain Resilience: A Hybrid Approach to Agri-Food Supplier Selection," Mathematics, MDPI, vol. 12(10), pages 1-41, May.
    13. Ben-Ammar, Oussama & Bettayeb, Belgacem & Dolgui, Alexandre, 2019. "Optimization of multi-period supply planning under stochastic lead times and a dynamic demand," International Journal of Production Economics, Elsevier, vol. 218(C), pages 106-117.
    14. Zhao, Na, 2019. "Managing interactive collaborative mega project supply chains under infectious risks," International Journal of Production Economics, Elsevier, vol. 218(C), pages 275-286.
    15. Seyyed Mohammad Seyyed Alizadeh Ganji & Mohammad Hayati, 2016. "Identifying and Assessing the Risks in the Supply Chain," Modern Applied Science, Canadian Center of Science and Education, vol. 10(6), pages 1-74, June.
    16. Laurent Lim, Lâm & Alpan, Gülgün & Penz, Bernard, 2014. "Reconciling sales and operations management with distant suppliers in the automotive industry: A simulation approach," International Journal of Production Economics, Elsevier, vol. 151(C), pages 20-36.
    17. Qazi, Abroon & Dickson, Alex & Quigley, John & Gaudenzi, Barbara, 2018. "Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks," International Journal of Production Economics, Elsevier, vol. 196(C), pages 24-42.
    18. Naveen Virmani & Rajeev Saha & Rajeshwar Sahai, 2018. "Evaluating key performance indicators of leagile manufacturing using fuzzy TISM approach," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(2), pages 427-439, April.
    19. Yang Yang & Xuezheng Chen & Jing Gu & Hamido Fujita, 2019. "Alleviating Financing Constraints of SMEs through Supply Chain," Sustainability, MDPI, vol. 11(3), pages 1-19, January.
    20. Nadia Kabbara & Hale Ozgit, 2023. "Effectiveness of resource management of Lebanese NGOs in response to COVID-19 and the Syrian crisis," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-11, December.

    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:eee:proeco:v:173:y:2016:i:c:p:30-42. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.