The Electromagnetic Continuum of Business & Qualitative Economics uses time and electromagnetic axes to provide a three-dimensional representation of data analytics to help businesses develop a predictive model based on pattern recognition and probabilities, and manage their resources more efficiently.
The Before (B) axis represents historical performance, customer behaviours, and purchase histories. The Current (C) axis is a dynamic coordinate system constantly staying in the present now and linking the financial currency to the flow of business energy. The After (A) axis extends to the future.
The Electromagnetic axis, the vertical axis, is the factor of resistance to sales for the business and customer rejection rates for goods and services, and also responsiveness levels. The flow of this axis can be negative or positive based on these factors.
The Predictive Purchasing Algorithm (PPA) predicts inventory suggestions, customer preferences, and when marketing campaigns should begin or end based on data collected from the different axes.
The goal of the Electromagnetic Continuum of Business & Qualitative Economics is to achieve high quality of experience, client retention, better products, faster/more efficient transactions, and more appreciation for the quality of overall business.
The Electromagnetic Continuum model uses the ABCs of Time framework to structure all phases of a project along the temporal dimension, plus the Spective Methodology and Creative Business Algorithm to provide a holistic system that tracks project performance and client behaviour, and optimizes resource allocation.
The Respective component focuses on showing genuine appreciation for clients, potential customers, and high-end clientele. Outrospective is about showing empathy and social responsibility. Extrospective allows a business to see the bigger picture, understand its position within the market, and where it stands relative to competitors.
By combining all the factors of the model, a business can employ a scalable qualitative economic model that optimizes for future growth, makes informed decisions rooted in real-time data, historical analysis, and predictive insights, while being socially responsible.
This model provides businesses with an evolving system to integrate qualitative economics into understanding business dynamics through a qualitative lens, thereby creating a dynamic, scalable system that adapts to both the present and future.