Author
Listed:
- Kelly O. Weeks
- George N. Kenyon
- James Slaydon
- Gevorg Sargsyan
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.
Suggested Citation
Kelly O. Weeks & George N. Kenyon & James Slaydon & Gevorg Sargsyan, 2026.
"Measuring Business Efficiency Through Entropy,"
Systems Research and Behavioral Science, Wiley Blackwell, vol. 43(4), pages 1597-1614, July.
Handle:
RePEc:bla:srbeha:v:43:y:2026:i:4:p:1597-1614
DOI: 10.1002/sres.70056
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