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Article
Publication date: 26 May 2023

Gaddam Rahul Paul and Syed Khalid Perwez

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…

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.

Details

The Learning Organization, vol. 30 no. 5
Type: Research Article
ISSN: 0969-6474

Keywords

Article
Publication date: 27 December 2021

Goutam Kumar Kundu and Syed Khalid Perwez

This paper aims to identify and model the key barriers to implementation of project-based learning (PjBL) in higher educational institution.

Abstract

Purpose

This paper aims to identify and model the key barriers to implementation of project-based learning (PjBL) in higher educational institution.

Design/methodology/approach

Using the interpretive structural modelling (ISM) technique, the study has developed a hierarchical-based model, depicting the mutual relationships amongst the key barriers to implementation of PjBL. Additionally, the paper has performed Matrice d’ Impacts Croises Multiplication Appliqué an Classement (MICMAC) analysis to categorize the barriers in terms of their driving and dependence power.

Findings

The study has identified the key barriers to implementation of PjBL and presented an integrated model using ISM. Higher educational institutions need to pay attention to diagnose and overcome these hindrances for effective implementation of PjBL in their programmes.

Research limitations/implications

The study adopts a systematic way to model the relevant barriers to implementation of PjBL. The ISM-based model would help higher education institutions to prioritize the issues as the barriers are hierarchically structured. As the input to model development is based on the experts’ opinions, it may be biased, influencing the final output of the structural model.

Originality/value

The presentation of PjBL implementation barriers in the form of an ISM-based model is a new effort. The model would be useful to understand the barriers and overcome these for the successful implementation of PjBL in higher educational institutions.

Details

Journal of International Education in Business, vol. 15 no. 1
Type: Research Article
ISSN: 2046-469X

Keywords

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