IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v69y2016i11p5529-5533.html
   My bibliography  Save this article

FsQCA in corporate bankruptcy research. An innovative approach in food industry

Author

Listed:
  • Boratyńska, Katarzyna

Abstract

This study focuses on fsQCA in corporate bankruptcy research. This research aims at revealing how an fsQCA approach can overcome the knowledge gap of current conceptual and methodological attempts to expose corporate bankruptcy's architecture of causalities. The article discusses the economic literature concerning using fsQCA in corporate bankruptcy studies through complexity theory and a critical perspective. The study concentrates on implementing fsQCA and asymmetric thinking to corporate bankruptcy cases in food industry. The research examines the main reasons for corporate bankruptcy, namely: lack of financial liquidity, too high level of liabilities, losses, weak management, and too late recovery actions. The study attempts to build theory from food industry cases.

Suggested Citation

  • Boratyńska, Katarzyna, 2016. "FsQCA in corporate bankruptcy research. An innovative approach in food industry," Journal of Business Research, Elsevier, vol. 69(11), pages 5529-5533.
    • Handle: RePEc:eee:jbrese:v:69:y:2016:i:11:p:5529-5533
    DOI: 10.1016/j.jbusres.2016.04.166
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296316303733
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2016.04.166?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. Ragin, Charles C., 2000. "Fuzzy-Set Social Science," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226702773, October.
    2. Charles C. Ragin, 2006. "The Limitations of Net-Effects Thinking," Springer Books, in: Benoît Rihoux & Heike Grimm (ed.), Innovative Comparative Methods for Policy Analysis, chapter 0, pages 13-41, Springer.
    3. Charles L. Merwin, 1942. "Financing Small Corporations in Five Manufacturing Industries, 1926–36," NBER Books, National Bureau of Economic Research, Inc, number merw42-1.
    4. Altman, Edward I., 1984. "The success of business failure prediction models : An international survey," Journal of Banking & Finance, Elsevier, vol. 8(2), pages 171-198, June.
    5. Beaver, Wh, 1966. "Financial Ratios As Predictors Of Failure," Journal of Accounting Research, Wiley Blackwell, vol. 4, pages 71-111.
    6. Ragin, Charles C., 2006. "Set Relations in Social Research: Evaluating Their Consistency and Coverage," Political Analysis, Cambridge University Press, vol. 14(3), pages 291-310, July.
    7. Woodside, Arch G., 2014. "Embrace•perform•model: Complexity theory, contrarian case analysis, and multiple realities," Journal of Business Research, Elsevier, vol. 67(12), pages 2495-2503.
    8. Dimitras, A. I. & Zanakis, S. H. & Zopounidis, C., 1996. "A survey of business failures with an emphasis on prediction methods and industrial applications," European Journal of Operational Research, Elsevier, vol. 90(3), pages 487-513, May.
    9. Kahneman, Daniel, 2002. "Maps of Bounded Rationality," Nobel Prize in Economics documents 2002-4, Nobel Prize Committee.
    10. Taffler, Richard J., 1984. "Empirical models for the monitoring of UK corporations," Journal of Banking & Finance, Elsevier, vol. 8(2), pages 199-227, June.
    11. repec:ucp:bkecon:9780226702766 is not listed on IDEAS
    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. Balcaen, Sofie & Ooghe, Hubert, 2006. "35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems," The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
    2. Dimitras, A. I. & Zanakis, S. H. & Zopounidis, C., 1996. "A survey of business failures with an emphasis on prediction methods and industrial applications," European Journal of Operational Research, Elsevier, vol. 90(3), pages 487-513, May.
    3. Şaban Çelik, 2013. "Micro Credit Risk Metrics: A Comprehensive Review," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 20(4), pages 233-272, October.
    4. Elsayed, Mohamed & Elshandidy, Tamer, 2020. "Do narrative-related disclosures predict corporate failure? Evidence from UK non-financial publicly quoted firms," International Review of Financial Analysis, Elsevier, vol. 71(C).
    5. Katarzyna Boratynska, 2021. "Determinants of Economic Fragility in Central and Eastern European Countries FsQCA Approach," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 827-837.
    6. Ferguson, Graham & Megehee, Carol M. & Woodside, Arch G., 2017. "Culture, religiosity, and economic configural models explaining tipping-behavior prevalence across nations," Tourism Management, Elsevier, vol. 62(C), pages 218-233.
    7. Katarzyna Boratyńska, 2021. "A New Approach for Risk of Corporate Bankruptcy Assessment during the COVID-19 Pandemic," JRFM, MDPI, vol. 14(12), pages 1-14, December.
    8. ben Jabeur, Sami & Mefteh-Wali, Salma & Carmona, Pedro, 2021. "The impact of institutional and macroeconomic conditions on aggregate business bankruptcy," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 108-119.
    9. Laitinen, Erkki K., 2007. "Classification accuracy and correlation: LDA in failure prediction," European Journal of Operational Research, Elsevier, vol. 183(1), pages 210-225, November.
    10. García-Gallego, Ana & Mures-Quintana, María-Jesús, 2013. "La muestra de empresas en los modelos de predicción del fracaso: influencia en los resultados de clasificación || The Sample of Firms in Business Failure Prediction Models: Influence on Classification," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 15(1), pages 133-150, June.
    11. Ferguson, Graham & Megehee, Carol M. & Woodside, Arch G., 2018. "Applying asymmetric, case-based, forecasting modeling in service research: Cultures’ consequences on customers’ service gratuities," Australasian marketing journal, Elsevier, vol. 26(4), pages 369-381.
    12. Khedhaouria, Anis & Thurik, Roy, 2017. "Configurational conditions of national innovation capability: A fuzzy set analysis approach," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 48-58.
    13. Hervas-Oliver, Jose-Luis & Sempere-Ripoll, Francisca & Arribas, Ivan, 2015. "Asymmetric modeling of organizational innovation," Journal of Business Research, Elsevier, vol. 68(12), pages 2654-2662.
    14. Gemünden, Hans Georg, 1988. "Defekte der empirischen Insolvenzforschung," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 205, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    15. Scalzer, Rodrigo S. & Rodrigues, Adriano & Macedo, Marcelo Álvaro da S. & Wanke, Peter, 2019. "Financial distress in electricity distributors from the perspective of Brazilian regulation," Energy Policy, Elsevier, vol. 125(C), pages 250-259.
    16. Bigerna, Simona & D'Errico, Maria Chiara & Polinori, Paolo, 2022. "Understanding the green-growth: which pathways cities undertake in their climate programs," MPRA Paper 114156, University Library of Munich, Germany.
    17. Amara, Nabil & Rhaiem, Mehdi & Halilem, Norrin, 2020. "Assessing the research efficiency of Canadian scholars in the management field: Evidence from the DEA and fsQCA," Journal of Business Research, Elsevier, vol. 115(C), pages 296-306.
    18. Veríssimo, José Manuel Cristóvão, 2018. "Usage intensity of mobile medical apps: A tale of two methods," Journal of Business Research, Elsevier, vol. 89(C), pages 442-447.
    19. Oana Daniela Lupoae & Riana Iren Radu & Mihaela-Carmen Muntean, 2022. "Capturing Entrepreneurial Opportunities in the Romanian Equine Sector: an Fs-Qca Approach," International Entrepreneurship and Management Journal, Springer, vol. 18(1), pages 455-472, March.
    20. Xie, Xuemei & Fang, Liangxiu & Zeng, Saixing, 2016. "Collaborative innovation network and knowledge transfer performance: A fsQCA approach," Journal of Business Research, Elsevier, vol. 69(11), pages 5210-5215.

    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:69:y:2016:i:11:p:5529-5533. 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.