Welcome to Revise and Resubmit, the podcast where we take a deep dive into the research that shapes how we think, how we manage, and how we make decisions. Today, we're traveling back to a groundbreaking idea from 1970, one that still holds relevance in our modern world of big data and machine learning. It’s the concept of a decision calculus, introduced by John D.C. Little in his paper 'Models and Managers: The Concept of a Decision Calculus.'
In this episode, we’ll explore Little’s critique of the disconnect between complex management models and the people who actually use them: the managers. Little believed models needed to be more than just theoretical constructs; they had to be simple, robust, and easy to understand. He used an advertising budgeting model to show how management science could bridge this gap.
But here’s the twist. In 2004, Little revisited his work and reflected on how things had changed. The world had moved on from the 1970s, and suddenly, managers were armed with decision support systems, endless streams of data, and advanced modelling tools. Yet, despite all this progress, Little’s original ideas remained as important as ever.
So today, we ask: In a world of complex algorithms and ever-expanding data, how can we make sure that the models we build still serve the people who need them? Do we risk losing the human touch in decision-making? Or can simplicity and practicality still hold the key?

Reference
Little, J. D. (2004) Comments on “Models and Managers: The Concept of a Decision Calculus”. Management Science 50(12_supplement):1854-1860.https://doi.org/10.1287/mnsc.1040.0310
Little, J. D. (1970). Models and managers: The concept of a decision calculus. Management science, 16(8), B-466.

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