Background: Human factors can have a significant impact on Productivity in organizations. It is, therefore, necessary to understand the psychological and sociological processes involved comprehensively. This study analyses the multifaceted nature of Productivity and its interrelationship with other factors to explore in-depth the intricate relationship between human variables and managers.

Method: Constructs and latent variables provide the theoretical basis for deeply analyzing how human factors influence Productivity. Structural equation modeling (SEM) is an essential tool that can be used to test causal relationships and confirm or deny hypotheses archaeologically. Through SEM, accurate data are used to verify the theoretical models. For example, how are individual, group, and organizational factors operationalized as predictor variables of Productivity?

Results and Analysis: Factor analysis is used to identify the latent variables for human dimensions (individual, group, organizational) and Productivity. Factor rotations reverse varimax reveal a psychological factor in psychosocial and structural Productivity. The SEM and clay content analysis has established a causal connection between these three factors and productivity measurement. This provides empirical support for our proposed model.

Conclusions: In summary, this study has constructed a causal framework linking human variables with organizational Productivity. It highlights the psychological, psychosociological, and structural dimensions of human influence. Operationalization for individual factors, group factors, and managerial background, without which it may have to be standardized across groups, as in the work by Hudson and Knighten (1999).