[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
About the Journal
Editorial Board
Aims& Scopes
Journal News
Articles archive::
All Issues
Current Issue
Browse by Authors
Browse by Keywords
For Authors::
Call for Papers
Submission Instruction
Submission Form
For Reviewers::
Reviewers Section
Registration::
Registration Information
Registration Form
Contact us::
Contact Information
Contact us
Site Facilities::
Site map
Search contents
FAQ
Top 10 contents
Inform to friends
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
:: year 17, Issue 67 (2025) ::
fa 2025, 17(67): 56-72 Back to browse issues page
Designing an Enterprise Risk Management (ERM) Model in the Supply Chain of the Steel Industry
Morteza Shabani1 , Mohammad Sayrani *2 , Davood Kiyanoosh3 , Meysam Arab Zadeh4
1- Department of Accounting, kas.c. , Islamic Azad University, Isfahan, Iran.
2- Department of Accounting, Shahab Danesh University, Qom, Iran.
3- Department of Accounting, Nat.c. , Islamic Azad University, Isfahan, Iran.
4- Department of Accounting kas.c. , Islamic Azad University, Isfahan, Iran.
Abstract:   (16 Views)
 The purpose of this research is to design an Enterprise Risk Management (ERM) model in the steel industry’s supply chain, with a focus on Mobarakeh Steel Company of Isfahan. The study is developmental in nature and, using a mixed-methods exploratory design, employs metasynthesis, grounded theory, and structural equation modeling. In the qualitative phase, to design the risk-management process and identify the elements and components of supply-chain risk, data were collected through literature review, interviews, and document analysis, with the participation of 25 experts. The output of this phase included identifying 7 criteria, extracting 410 initial concepts and 353 final concepts, classifying 160 subcomponents into 27 main components, and ultimately aggregating them into 5 elements. In the quantitative phase, the model was tested using data from 260 individuals drawn from an 800-person population of managers and specialists in the steel industry, using a valid and reliable questionnaire (Cronbach’s alpha = 0.995). The results of factor analysis and fit indices confirm the validity and adequacy of the supply-chain risk model.
Article number: 4
Keywords: Enterprise Risk Management, Supply Chain, Steel Industry, Grounded Theory, Meta synthesis.
Full-Text [PDF 1067 kb]   (16 Downloads)    
Type of Study: Research | Subject: Special
References
1. Brindley, C. (2004). Supply Chain Risk. Ashgate Publishing.
2. Chopra, S., & P. Meindl. (2007). Supply Chain Management: Strategy, Planning & Operation (3rd ed). Pearson Prentice Hall.
3. COSO. (2017). Enterprise Risk Management – Aligning Risk with Strategy & Performance. COSO Framework.
4. Creswell, J.W., V.L. Plano Clark, M.L. Gutmann & W.E. Hanson. (2003). Advanced Mixed Methods Research Designs. In A. Tashakkori & C. Teddlie (Eds.), Handbook of Mixed Methods in Social and Behavioral Research: 209–240.
5. ISO. (2018). Risk Management – Guidelines (ISO 31000). International Organization for Standardization.
6. Jensen, L., & A. Allen. (1996). Meta-synthesis of qualitative findings. Qualitative Health Research 6(4): 553–560.
7. Johnson, R.B., & A.J. Onwuegbuzie. (2004). Mixed Methods Research: A Research Paradigm Whose Time Has Come. Educational Researcher 33(7): 14–26.
8. Krejcie, R.V., & D.W. Morgan. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement 30: 607–610.
9. Matook, S., R. Lasch & R. Tamaschke. (2009). Supplier Development with Benchmarking as Part of a Comprehensive Supplier Risk Management Framework. International Journal of Operations & Production Management 29(3): http://doi:10.1108/01443570910938989
10. Micheli, G.J.L., E. Cagno & M. Zorzini. (2008). Supply risk management vs supplier selection to manage the supply risk in the EPC supply chain. Management Research News 31(11): http://doi:10.1108/01409170810913042
11. Miller, K. (1991). A Framework for Integrated Risk Management in International Business. Journal of International Business Studies 23: 311-331. http://dx.doi.org/10.1057/palgrave.jibs.8490270
12. Rao, S., & T.J. Goldsby. (2009). Supply chain risks: A review and typology. The International Journal of Logistics Management, 20(1): 97–123. https://doi.org/10.1108/09574090910954864
13. Teddlie, C., & A. Tashakkori. (2010). Overview of contemporary issues in mixed methods research. In A. Tashakkori & C. Teddlie (Eds.), SAGE handbook of mixed methods in social & behavioral research (pp. 1–41). Thousand Oaks, CA: Sage.
14. Trkman, P., & K. McCormack. (2009). Supply Chain Risk in Turbulent Environments. International Journal of Production Economics 119: 247–258.
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA

XML   Persian Abstract   Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Shabani M, Sayrani M, Kiyanoosh D, Arab Zadeh M. Designing an Enterprise Risk Management (ERM) Model in the Supply Chain of the Steel Industry. fa 2025; 17 (67) : 4
URL: http://qfaj.mobarakeh.iau.ir/article-1-2908-en.html
Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
year 17, Issue 67 (2025) Back to browse issues page
فصلنامه حسابداری مالی Quarterly Financial Accounting
Persian site map - English site map - Created in 0.2 seconds with 37 queries by YEKTAWEB 4732