The Productivity Microbiome Model: A Systems-Based Approach to Human Performance and Behavioral Ecology

Abstract

Purpose: Conventional models of productivity are based on mechanistic worldviews that emphasize efficiency, output, and time optimization. However, recent findings from behavioral science, organizational psychology, and chronobiology reveal a non-linear model of human performance. This study presents the Productivity Microbiome™ Model, a systems approach to productivity based on a conceptual model of Bio Productivity Science™, which incorporates biological, psychological, and ecological elements.

Materials and Methods: The study employed a conceptual research approach based on a critical analysis of literature from systems science, behavioral ecology, cognitive psychology, and human performance. The model consists of eight co-occurring variables of a productivity ecosystem. nclude the JEL codes of classification

Findings:

The Productivity Microbiome Model reveals eight co-occurring variables of a productivity ecosystem. The eight variables are cognitive clarity, emotional equilibrium, energy metabolism, environmental design, temporal rhythm, social synergy, purpose alignment, and adaptive innovation. The model reveals a non-linear approach to productivity through the application of conceptual metrics and indices of performance.

Implications for Theory, Practice, and Policy: The model is a contribution to the discourse of sustainable leadership and well-being in the workplace. The model is a valuable tool for human resource management, education, and innovation management.