E-ISSN 3033-179X

Blagoevgrad, Bulgaria

How to Create the Best NOISE Analysis

Vladimir Karadzhov

Chief Assistant Professor, PhD (Economic and Social Geography)

Department of Geography, Ecology and Environmental Protection, Faculty of Mathematics and Natural Sciences, South-West University “Neofit Rilski”, Blagoevgrad, Bulgaria

Email: karadzhov@swu.bg ORCID ID: 0000-0002-7514-5517

Download: Full Text PDF

https://doi.org/10.63711/ijdr.net20260202


ABSTRACT

This study proposes a standardized methodological framework for conducting NOISE analysis, addressing the limited conceptual development and lack of structured application of this underutilized strategic tool. While widely used analytical models such as SWOT, PESTEL, and SOAR provide valuable insights, they often exhibit limitations related to descriptive orientation, insufficient integration of action planning, or imbalance between internal and external factors. The NOISE framework – comprising Needs, Opportunities, Improvements, Strengths, and Exceptions – is introduced as a hybrid analytical model that integrates diagnostic and solution-oriented perspectives. The study develops a step-by-step methodology, including factor identification, categorization, evaluation, prioritization, and strategy formulation. A scoring system is proposed to enhance analytical rigor and support decision-making. To demonstrate its applicability, the framework is illustrated through a realistic case of a higher education institution undergoing digital and organizational transformation. The results highlight the capacity of NOISE analysis to bridge the gap between analysis and implementation, enabling the formulation of targeted and actionable strategies. The findings suggest that NOISE analysis represents a flexible, balanced, and implementation-oriented alternative to traditional frameworks. The study contributes to the advancement of strategic management methodologies by providing a clear, replicable, and adaptable analytical model applicable across multiple sectors. Future research directions include empirical validation, integration with quantitative models, and application in emerging domains such as digital transformation and sustainability.

Keywords: Noise analysis, Strategic analysis, Decision-making, Organizational development, Strategic management, Analytical frameworks

Research Area: Strategic Management, Decision Sciences, Organizational Development

Copyright © 2026 The Author(s). This article is licensed under CC BY 4.0.   

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