Identification and analysis of intraorganizational outsourcing risks with the combined approach of failure mode and effect analysis (FMEA), fuzzy interpretive structural modeling (FISM)
Subject Areas : Risk Management
Mostafa Sanatzadeh
1
,
Saeed Ghane
2
,
Ali Rezaian
3
1 - Department of Industrial Management, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman, Iran.
2 - Department of Management, Masjed-Soleiman Branch, Islamic Azad University, Masjed-Soleiman, Iran.
3 - Department of Management, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.
Keywords: Analysis of Failure Factors, Fuzzy Interpretive Structural Modeling, Outsourcing, Risk,
Abstract :
Objective: This study aims to identify and analyze intraorganizational outsourcing risks within the Lorestan Gas Company for the period 2022–2023. The findings indicate that one of the intraorganizational factors, by paving the way for the emergence of other internal risks, could potentially lead to project failures and unsuccessful outsourcing activities.
Research Methodology: Conducted in 2022–2023 within Lorestan Gas Company as a pilot in the oil industry, this study employs a mixed-method approach comprising both qualitative and quantitative phases. Quantitative data were analyzed using Failure Mode and Effect Analysis (FMEA) and Fuzzy Interpretive Structural Modeling (FISM). For the qualitative phase, Guba and Lincoln's (1982) evaluation method was applied, which is based on four criteria: credibility, transferability, dependability, and confirmability.
Findings: The developed model identifies risks associated with project definition and conceptualization, project design and planning, and project allocation, placing them at the fifth level, as the second most influential level affecting other potential outsourcing risks. The findings suggest that in any project, design and planning are crucial in steering a project towards success or failure, with failures in projects often proving costly.
Originality / Scientific Contribution: Most studies have focused solely on identifying outsourcing risks without providing a comprehensive model for analyzing these corresponding risks. This research, relying on selected analytical methods and identifying the most effective risks in outsourcing, presents a comprehensive model that helps fill this research gap, contributing to a deeper understanding of risk mitigation in outsourcing contexts.
