Influence of quality of work life on psychological capital of organizational leaders using artificial neural networks: a study on learning in hybrid workplace

Abstract

Purpose

The COVID-19 pandemic has greatly impacted work, leading to the adoption of remote work practices and changes in power dynamics and trust. Although managing remote work has received much attention, the impact of the quality of work life on the effectiveness of hybrid workplaces has been less studied. This study aims to examine the relationship between quality of work life and psychological capital among organizational leaders using an artificial neural network (ANN) model.

Design/methodology/approach

This study used a cross-sectional quantitative methodology. A structured questionnaire was used to collect 268 responses from organizational leaders using the convenience sampling method. The data collected were analyzed using the ANN model in the Python interface.

Findings

The ANN model training and testing revealed that there is a positive relationship between the quality of work life and psychological capital among organizational leaders. The R-squared values for hope, efficacy, resilience and optimism were 85.19%, 82.08%, 78.55% and 81.08%, respectively, in the training set, and 81.30%, 78.95%, 76.52% and 71.41% in the testing set.

Originality/value

To the best of the authors’ knowledge, no previous research in the context of studying the relationship between quality of work life and psychological capital among organizational leaders using the machine learning approach – ANN model.

Citation

Rahul Paul, G. and Khalid Perwez, S. (2023), "Influence of quality of work life on psychological capital of organizational leaders using artificial neural networks: a study on learning in hybrid workplace", The Learning Organization, Vol. 30 No. 5, pp. 630-647. https://doi.org/10.1108/TLO-11-2022-0137