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A framework for enterprise risk identification and management: the resource-based view

Author

Listed:
  • Birendra K. Mishra
  • Erik Rolland
  • Asish Satpathy
  • Michael Moore

Abstract

Purpose - This study aims to examine the factors influencing enterprise risk management and propose a framework for identifying and explaining the components of enterprise risk management. To enable broader analytical thinking about risk factors, the framework utilizes the resource-based theory to link various classes of risks to an extended set of organizational resources. Design/methodology/approach - The paper opted for an exploratory study using a sample from an online survey. The survey subjects were recruited from the membership database of the American Institute of Certified Public Accountants, focusing primarily on CFOs. The survey consisted of six sections: demographics, a section on each of the four risk types included in ERM: strategic risk, operational risk, financial risk and hazard risk, and exit questions (where very general questions about ERM were asked). The survey yielded a data set of 227 valid responses. Findings - Using the associated sample survey data, the paper provides empirical validation of the proposed framework that managers in any organizations could use to identify and manage risks. Research limitations/implications - The proposed model does have limitations that predominantly exist from the fact that human judgment in decision-making is not always data-driven, and hence, a proper risk exposure could be ignored based on pure arguments of cost and benefits from domain experts. Therefore, researchers and practitioners are encouraged to test the proposed framework further. Practical implications - Risk exposure is not a snapshot event in an organization’s time horizon. Rather, risk identification is an ongoing process and the proposed framework allows organizations to handle increasing complex risks and/or identifying them based on how the organizational resources may be exposed over time. Managers could use a form of risk control analytics (monitoring dashboard of all identified risks under each interaction sets on a regular basis) to become more proactive in managing risk or exploiting opportunities across enterprise. Originality/value - This paper fulfills an identified need to study how enterprise risks exposure can be proactively assessed and managed.

Suggested Citation

  • Birendra K. Mishra & Erik Rolland & Asish Satpathy & Michael Moore, 2019. "A framework for enterprise risk identification and management: the resource-based view," Managerial Auditing Journal, Emerald Group Publishing Limited, vol. 34(2), pages 162-188, January.
  • Handle: RePEc:eme:majpps:maj-12-2017-1751
    DOI: 10.1108/MAJ-12-2017-1751
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    Citations

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    Cited by:

    1. Al-Gamrh, Bakr & Rasul, Tareq, 2024. "Recession-proof marketing? Unraveling the impact of advertising efficiency on stock volatility," International Review of Financial Analysis, Elsevier, vol. 92(C).
    2. Kamer-Ainur Aivaz & Alexandru Capatana, 2021. "An analysis of the Return on Assets of HoReCa Companies in Constanta County in the Context of the Recovery Pursuits after the Shock Produced by the COVID-19 Pandemic," Technium Social Sciences Journal, Technium Science, vol. 25(1), pages 289-303, November.
    3. Vu Minh Ngo & Huy Truong Quang & Thinh Gia Hoang & An Duong Thi Binh, 2024. "Sustainability‐related supply chain risks and supply chain performances: The moderating effects of dynamic supply chain management practices," Business Strategy and the Environment, Wiley Blackwell, vol. 33(2), pages 839-857, February.
    4. Drago? Tohãnean, , and & Alexandru Ilie Buzatu & Cristina-Andrada Baba & Bogdan Georgescu, 2020. "Business Model Innovation Through the Use of Digital Technologies: Managing Risks and Creating Sustainability," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 22(55), pages 758-758, August.
    5. Qining Deng & K. Noorliza, 2023. "Integration, Resilience, and Innovation Capability Enhance LSPs’ Operational Performance," Sustainability, MDPI, vol. 15(2), pages 1-22, January.
    6. Sorin Gabriel Anton & Anca Elena Afloarei Nucu, 2020. "Enterprise Risk Management: A Literature Review and Agenda for Future Research," JRFM, MDPI, vol. 13(11), pages 1-22, November.
    7. Grygoriy Shamborovskyi & Yuliia Nehoda & Nataliya Demidova & Volodymyr Tarashchenko & Svitlana Breus, 2021. "Modeling Study on Risk Identification in the Process of Anti-Crisis Enterprise Management," JRFM, MDPI, vol. 14(2), pages 1-14, February.

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