VIKOR Method

VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) is a multi-criteria decision-making (MCDM) method developed to solve complex problems with conflicting criteria. Its core concept is to identify a compromise solution that is the closest to the ideal solution. The method ranks alternatives by evaluating two measures: group utility (S) and individual regret (R). In risk management, VIKOR serves as a powerful analytical tool to operationalize the risk evaluation phase outlined in **ISO 31000:2018**. It allows organizations to systematically compare different risk treatment options by considering multiple criteria like cost, effectiveness, and stakeholder impact. Unlike simpler methods like the Weighted Sum Model, VIKOR's inclusion of 'regret' helps avoid solutions that are excellent in some aspects but unacceptably poor in a critical one, ensuring a well-balanced, defensible decision.

VIKOR is applied in enterprise risk management through a structured, multi-step process. First, **define the decision context and criteria**, aligning with risk assessment frameworks like **NIST SP 800-30** or **ISO/IEC 27005**. For instance, when selecting a cybersecurity vendor, criteria could include threat detection accuracy, response time, cost, and compliance with GDPR. Second, **construct the decision matrix** by gathering performance data for each alternative against each criterion, often through expert scoring. Third, **execute the VIKOR algorithm**: normalize the data, determine the best and worst values for each criterion, calculate the S (group utility) and R (individual regret) values for each vendor, and finally compute the Q index to rank them. A global financial institution successfully used this method to prioritize IT system upgrade projects, balancing security risks, business continuity impact, and budget constraints. This led to a 25% more efficient allocation of their security budget and a quantifiable reduction in critical vulnerabilities.

Taiwanese enterprises often face three key challenges when implementing VIKOR. First, a **cultural preference for consensus over quantitative models**, where decision-making relies more on experience and hierarchical approval than on structured mathematical analysis. To overcome this, start with a pilot project on a less critical decision to demonstrate the method's value and objectivity. Second, **limited in-house quantitative skills**, as the VIKOR algorithm can seem complex. The solution is to use user-friendly software tools or Excel templates that automate calculations and provide targeted training. Third, **difficulty in defining and weighting criteria objectively**, which can become a source of internal conflict. This can be mitigated by using the Analytic Hierarchy Process (AHP) in workshops to systematically derive criteria weights from pairwise comparisons among stakeholders. The priority action is to build a cross-functional team and provide foundational training on MCDM methods.

Winners Consulting specializes in VIKOR for Taiwan enterprises, delivering compliant management systems within 90 days. Free consultation: https://winners.com.tw/contact