IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v37y1996i1p15-26.html
   My bibliography  Save this article

Escalation and the diffusion of responsibility: A commercial lending experiment

Author

Listed:
  • Ruchala, Linda V.
  • Hill, John W.
  • Dalton, Dan

Abstract

No abstract is available for this item.

Suggested Citation

  • Ruchala, Linda V. & Hill, John W. & Dalton, Dan, 1996. "Escalation and the diffusion of responsibility: A commercial lending experiment," Journal of Business Research, Elsevier, vol. 37(1), pages 15-26, September.
    • Handle: RePEc:eee:jbrese:v:37:y:1996:i:1:p:15-26
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0148-2963(95)00171-9
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Libby, R, 1975. "Accounting Ratios And Prediction Of Failure - Some Behavioral Evidence," Journal of Accounting Research, Wiley Blackwell, vol. 13(1), pages 150-161.
    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. Alexandra Rausch & Alexander Brauneis, 2015. "It’s about how the task is set: the inclusion–exclusion effect and accountability in preprocessing management information," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 23(2), pages 313-344, June.
    2. Eugene Kang & Asghar Zardkoohi & Ramona Paetzold & Donald Fraser, 2013. "Relationship banking and escalating commitments to bad loans," Small Business Economics, Springer, vol. 40(4), pages 899-910, May.
    3. Richard Brody & Matias Sokolowski & Reilly White, 2021. "The Potential for Biases in Resolving Loan Problems," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 10(3), pages 57-66, July.

    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. Stocks, Morris H. & Harrell, Adrian, 1995. "The impact of an increase in accounting information level on the judgment quality of individuals and groups," Accounting, Organizations and Society, Elsevier, vol. 20(7-8), pages 685-700.
    2. Divesh Sharma & Errol Iselin, 2003. "The decision usefulness of reported cash flow and accrual information in a behavioural field experiment," Accounting and Business Research, Taylor & Francis Journals, vol. 33(2), pages 123-135.
    3. Petersen, Knut & Patzke, Henning, 1986. "Individuelles Informationsverhalten als Gegenstand des "Behavioral Accounting": Eine Meta-Analyse der empirischen Forschung," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 177, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    4. Amélie Artis & Simon Cornée, 2013. "Transformation informationnelle, certification et intermédiation financière : le cas de la banque solidaire," Economics Working Paper Archive (University of Rennes 1 & University of Caen) 201326, Center for Research in Economics and Management (CREM), University of Rennes 1, University of Caen and CNRS.
    5. Marco Locurcio & Francesco Tajani & Pierluigi Morano & Debora Anelli & Benedetto Manganelli, 2021. "Credit Risk Management of Property Investments through Multi-Criteria Indicators," Risks, MDPI, vol. 9(6), pages 1-23, June.
    6. Ha-Thu Nguyen, 2014. "Default Predictors in Credit Scoring - Evidence from France’s Retail Banking Institution," EconomiX Working Papers 2014-26, University of Paris Nanterre, EconomiX.
    7. Divesh S. Sharma & Errol R. Iselin, 2003. "The Relative Relevance of Cash Flow and Accrual Information for Solvency Assessments: A Multi‐Method Approach," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(7‐8), pages 1115-1140, September.
    8. Jessen L. Hobson & William J. Mayew & Mark E. Peecher & Mohan Venkatachalam, 2017. "Improving Experienced Auditors’ Detection of Deception in CEO Narratives," Journal of Accounting Research, Wiley Blackwell, vol. 55(5), pages 1137-1166, December.
    9. Petr Jakubík & Petr Teplý, 2011. "The JT Index as an Indicator of Financial Stability of Corporate Sector," Prague Economic Papers, Prague University of Economics and Business, vol. 2011(2), pages 157-176.
    10. Teija Laitinen & Maria Kankaanpaa, 1999. "Comparative analysis of failure prediction methods: the Finnish case," European Accounting Review, Taylor & Francis Journals, vol. 8(1), pages 67-92.
    11. Mosqueda, Rubén, 2010. "Fallibility Of The Rough Set Method In The Formulation Of The Failure Prediction Index Model Of Dynamic Risk," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 15(28), pages 65-88.
    12. Schneider, Arnold, 2018. "Studies on the impact of accounting information and assurance on commercial lending judgments," Journal of Accounting Literature, Elsevier, vol. 41(C), pages 63-74.
    13. K. T. Trotman & P. W. Yetton & I Zimmer, 1981. "Group Size and Performance: Prediction of Failure by Loan Officers," Australian Journal of Management, Australian School of Business, vol. 6(2), pages 127-140, December.
    14. Manjusha Senapathi & Saptarshi Ghosal, 2016. "Modelling Corporate Sector Distress in India," Working Papers id:11540, eSocialSciences.
    15. Muhammad Shahzad Ijaz & Ahmed Imran Hunjra & Rauf I Azam, 2017. "Forewarning Bankruptcy: An Indigenous Model for Pakistan," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 9(4), pages 259-286, December.
    16. Ekaterina Tzvetanova, 2019. "Adaptation of the Altman’s Corporate Insolvency Prediction Model – The Bulgarian Case," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 125-142.
    17. Kerstin Lopatta & Mario Albert Gloger & Reemda Jaeschke, 2017. "Can Language Predict Bankruptcy? The Explanatory Power of Tone in 10‐K Filings," Accounting Perspectives, John Wiley & Sons, vol. 16(4), pages 315-343, December.
    18. Velia Gabriella Cenciarelli & Marco Maria Mattei & Giulio Greco, 2020. "Pressione competitiva e previsione dell?insolvenza," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2020(3), pages 35-58.
    19. Slowinski, R. & Zopounidis, C. & Dimitras, A. I., 1997. "Prediction of company acquisition in Greece by means of the rough set approach," European Journal of Operational Research, Elsevier, vol. 100(1), pages 1-15, July.
    20. Akarsh Kainth & Ranik Raaen Wahlstrøm, 2021. "Do IFRS Promote Transparency? Evidence from the Bankruptcy Prediction of Privately Held Swedish and Norwegian Companies," JRFM, MDPI, vol. 14(3), pages 1-15, March.

    More about this item

    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:eee:jbrese:v:37:y:1996:i:1:p:15-26. 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/jbusres .

    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.