Measuring Business Efficiency Through Entropy

ABSTRACT This study aims to establish a connection between natural laws and business procedures by developing a quantifiable metric for assessing a firm's efficacy in translating market demand into operational throughput. The research introduces an entropy metric, drawing parallels from the second law of thermodynamics, thereby refashioning the entropy formula for a business context. This metric undergoes rigorous testing against established financial yardsticks, scrutinizing the firm's efficiency and performance. The introduced entropy metric showed significant congruity when juxtaposed with validated performance indicators used in finance and accounting. This comparison fortifies the applicability of the entropy metric in evaluating financial efficiency. Although the concept of entropy has been featured in prior research, the unique metric established in this study is the first of its kind to measure a firm's or a process's performance vis‐à‐vis demand. In a business or process scenario, entropy signifies the deterioration of order or predictability, representing a slow descent into disorder. The presented entropy formula aligns impressively with current financial performance metrics, thus proving to be a practical instrument for gauging a firm's financial and operational health over time.

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Publication Details

Journal
Systems Research and Behavioral Science
Published
2026-04-22
DOI
https://doi.org/10.1002/sres.70056
Primary Topic
Chaos, Complexity, and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Measuring Business Efficiency Through Entropy

Gevorg Sargsyan, Kelly O. Weeks, George N. Kenyon, James Slaydon
Systems Research and Behavioral Science
Chaos, Complexity, and Education
article

Measuring Business Efficiency Through Entropy

Gevorg Sargsyan, Kelly O. Weeks, George N. Kenyon, James Slaydon
article en

Abstract

ABSTRACT This study aims to establish a connection between natural laws and business procedures by developing a quantifiable metric for assessing a firm's efficacy in translating market demand into operational throughput. The research introduces an entropy metric, drawing parallels from the second law of thermodynamics, thereby refashioning the entropy formula for a business context. This metric undergoes rigorous testing against established financial yardsticks, scrutinizing the firm's efficiency and performance. The introduced entropy metric showed significant congruity when juxtaposed with validated performance indicators used in finance and accounting. This comparison fortifies the applicability of the entropy metric in evaluating financial efficiency. Although the concept of entropy has been featured in prior research, the unique metric established in this study is the first of its kind to measure a firm's or a process's performance vis‐à‐vis demand. In a business or process scenario, entropy signifies the deterioration of order or predictability, representing a slow descent into disorder. The presented entropy formula aligns impressively with current financial performance metrics, thus proving to be a practical instrument for gauging a firm's financial and operational health over time.

Systems Research and Behavioral Science
Eastern Washington University (US), Lamar University (US)
Decent work and economic growth
Openalex Percentile: Top 8%
Chaos, Complexity, and Education
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Measuring Business Efficiency Through Entropy — Gevorg Sargsyan, Kelly O. Weeks, et al. · Systems Research and Behavioral Science (2026) | TGRS Research Map | TGRS