Enterprise risk management effects on information systems-enabled strategic enterprise management: amplifying firm performance through strategic momentum and strategic flexibility in BRICS economies
Purpose Enterprise Risk Management (ERM) is a strategy and approach that enables organizations to manage risk strategically from a systems standpoint. The ERM assists businesses in structuring their systems to generate strategic flexibility (SF), which leads to increased firm performance (FP) through strategic enterprise management (IS-SEM) and strategic momentum (SM). Design/methodology/approach The study is based on data gathered in Brazil and India. The complex link was discovered using partial least square structural equation modeling (PLS-SEM) using 330 Brazilian and Indian sample sizes. Findings The findings show that ERM influences IS-SEM and SM, which improves SF and FP. Furthermore, the study claims that IS-SEM can help improve strategic momentum and flexibility in the face of environmental uncertainty (ENU). Thus, it indicated that specific combinations of ENU connected with ERM and IS-SEM lead to obtaining high and extremely high levels fuzzy set qualitative comparative analysis (fsQCA) post hoc analysis of strategic momentum and flexibility. Practical implications The findings help executives understand how ERM and accounting information systems (AIS) can help achieve SM and SF, hence promoting FP in situation specific ENU setups in developing economies. The findings enhance executives' comprehension of how ERM and IS-SEM can significantly contribute to achieving SM and SF, thereby driving FP in the situation-specific ENU configurations in developing economies. Originality/value Research indicated that specific combinations of (ENU) connected with ERM and IS-SEM lead to obtaining high and extremely high levels fuzzy set qualitative comparative analysis (fsQCA) post hoc analysis of strategic momentum and flexibility.
Authors
- Claudio A.S. Parisi (ORCID: https://orcid.org/0000-0002-0066-1584)
- Rajeev Dwivedi (ORCID: https://orcid.org/0000-0003-4619-2557)
- José Carlos Tiomatsu Oyadomari (ORCID: https://orcid.org/0000-0003-3059-3102)
- Adilson Carlos Yoshikuni (ORCID: https://orcid.org/0000-0003-4611-6933)
- Ronaldo Gomes Dultra-de-Lima (ORCID: https://orcid.org/0000-0001-8009-0963)
Institutions
- Eastern Washington University (US)
- Universidade Presbiteriana Mackenzie (BR)
Publication Details
- Journal
- Journal of Enterprise Information Management
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1108/jeim-12-2023-0625
- Citations
- 6
- Primary Topic
- Big Data and Business Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 3.17