Effectiveness of applying the pareto principle in optimizing business processes and expenses
EHU, Lithuania.
Research Article
World Journal of Advanced Research and Reviews, 2024, 21(03), 2690-2698
Publication history:
Received on 13 February 2024; revised on 20 March 2024; accepted on 28 March 2024
Abstract:
The article is devoted to assessing the effectiveness of the Pareto principle (the 80/20 rule) as a tool for rationalizing costs and business processes in the context of the current economic situation and accelerating digital transformation. The purpose of the study is to systematize the theoretical foundations and practical approaches to the application of this principle and to propose a concept for its integration with current technologies. The methodology includes a systematic literature review, comparative analysis of case studies (Toyota, DB Schenker, Apple), and content analysis of industry-specific analytical reports. The results obtained confirm a persistent asymmetry: approximately 20% of efforts, assets, or problem areas consistently generate about 80% of the effects whether in terms of results, revenues, or failures in production, logistics, and marketing. The proposed and empirically supported hypothesis is that the highest return from applying the principle is achieved when it is dynamically combined with Process Mining and Robotic Process Automation (RPA), forming a continuous cycle of identifying and automating the most significant operations. Based on this approach, practical recommendations have been formulated for executives on implementing a technologically integrated solution to ensure sustainable competitive advantage. The material is addressed to researchers in strategic management, as well as top managers and business analysts responsible for increasing operational efficiency.
Keywords:
Pareto Principle; 80/20 Rule; Cost Optimization; Business Process Optimization; Strategic Management; Case Study; Process Mining; Robotic Process Automation (RPA); Lean Production; ABC Analysis
Full text article in PDF:
Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0