AI & Computingarticle2026-08-11

1.4 S.I.T. – HOW AND WHY TO TURN IDEAS FOR INNOVATION INTO NUMBERS

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Abstract

Abstract: In the first part, we present Frederick Taylor's studies on measuring the times and movements consumed by the industry workers. It combines with the Gilbreth couple's studies on the construction workers' movements, which increased the industry's effectiveness and efficiency, making the United States of America the country with the highest industrial productivity in the world. Now, we extend the concepts of Taylorism by adding the third effort, the "energies consumed by the physical-biological organism of users when handling products, services or processes." After a century, we offer the S.I.T.®© - Self-compare Ideas Theory - the new methodology that incorporates Taylorism and goes beyond promoting an essential advance in understanding past, present, and future innovations. We identify a set of consistent similarities between industrial workers and final consumers/users. Some of Taylor's statements S.I.T.®© can repeat with the same vitality in innovation environments where there are handling products, services, and processes by the physical-biological human organism. We also present the Mathematical Formulation of Innovation®©, composed of the three efforts impregnated in the user body (energies, times, and movements) when handling any item - material or immaterial. The three efforts allow us to transform ideas into numbers, delivering power and autonomy of investment decision to the manager/innovator supported by numerical mathematical certainties. Like Taylor 120 years ago, now we also know if and why, which ideas can potentially succeed. We extracted the Innovation Mathematical Compass®© from the Mathematical Formulation of Innovation®© (we see it in part 2 of 4). The Mathematical Compass guides us from ancestral innovation - user reference, until the immediate future innovation through a logical-mathematical-numerical itinerary rigorously maintained for 3.3 million years.

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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-08-11

Authors: Rui Santo