Seemingly Counter-Intuitive Features of Good-to-Great Companies Actually Make Perfect Sense: Algorithmics-Based Explanations

Francisco Zapata, The University of Texas at El Paso
Eric Smith, The University of Texas at El Paso
Olga Kosheleva, The University of Texas at El Paso
Vladik Kreinovich, The University of Texas at El Paso

Technical Report: UTEP-CS-22-98

Abstract

In the late 1990s, researchers analyzed what distinguishes great companies from simply good ones. They found several features that are typical for great companies. Interestingly, most of these features seem counter-intuitive. In this paper, we show that from the algorithmic viewpoint, many of these features make perfect sense. Some of the resulting explanations are simple and straightforward, other explanations rely on complex not-well-publicized results from theoretical computer science.