Author:
Ghosh Vinit,Bharadwaja Manaswita,Mukherjee Hory
Abstract
Purpose
As work-from-home policies were being implemented during Covid-19, organizations have been migrating their learning and development programs to digital platforms. This study aims to understand the role of employees’ perceptions about four key attributes of online learning platforms (OLPs), namely, online environment, ease of use, online content (OC) and online engagement anchors in their levels of work engagement (WE). Further, it also investigates how the personality attributes of the employees and financial incentives for online learning influence this relationship.
Design/methodology/approach
Using the snowball sampling technique, online questionnaires were distributed to about 350 employees in four IT firms in India who were working from home during the Covid-19 period. The total number of valid responses was 306 and consisted of software developers, technical leads, process specialists, testers and managers. The analysis was done using Python software (V.3.7.4) packages and Process Macro (pyprocessmacro V.1.0.8) developed for Python.
Findings
Perceived OLP features significantly influence employee WE. OC and ease of use are significant influencers of employee WE. The perception of OLP features indirectly affects WE through the learner’s personality characteristics. Moreover, the financial incentive to learn online shares a negative interaction effect with OLP features to influence WE.
Originality/value
The paper contributes to the existing literature on virtual knowledge management by identifying the driving factors that reinforce the acceptance of OLPs. Moreover, to the best of the authors’ knowledge, this is the first attempt to link online learning management system key characteristics with employee outcome as engagement. Most of the previous work has ignored exploring such a relationship in an organizational setting.
Subject
Management of Technology and Innovation,Library and Information Sciences,Computer Networks and Communications,Computer Science Applications,Information Systems
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