How Knowledge-Hiding Behavior Among Manufacturing Professionals Influences Functional Interdependence and Turnover Intention

Modeling the turnover intentions of Thai health-care personnel in pandemic times: moderating role of Covid-19 burnout

PURPOSE

Covid-19 cases are rising at a high rate in Thailand. Thailand's administration has formulated many initiatives to combat the spread of coronavirus. However, during a pandemic, health-care workers have a diverse range of tasks that make it more challenging to continue working in hospitals. Consequently, the authors modeled the turnover intentions of health-care personnel to capture relevant psychological aspects of employees during the pandemic. Specifically, this study aims to focused on the moderating role of Covid-19 burnout (CBO) in the relationship between transformational leadership (TL) and job turnover intentions (JTI) with job satisfaction (JS) and knowledge hiding (KH) as mediators.

DESIGN/METHODOLOGY/APPROACH

This research collected data using self-administered questionnaire. A two-stage partial least square-structural equation modeling (PLS-SEM) is carried out as an analysis technique to measure the linear relationship among constructs. The study tests hypotheses (direct and indirect effects) using 310 sample size of health-care personnel.

FINDINGS

The findings indicated that CBO intensified the JTI of health-care personnel and strengthened the association of JS and KH with JTI during the Covid-19 pandemic. TL had a negative indirect effect on JTI. In addition, JS had a negative impact on JTI.

ORIGINALITY/VALUE

The study highlights the importance of TL and JS as ways to reduce or alleviate JTI in health-care personnel during the Covid-19 pandemic in Thailand. Furthermore, CBO and KH can enhance JTI in health-care personnel.

Motivation to learn, mobile learning and online learning climate: moderating role of learner interaction

Purpose

The purpose of this paper is to empirically exhibit the moderating effect of learner interaction (LI) on motivation to learn (MTL), mobile learning (ML) and online learning climate (OLC), so as to bring in enhanced rigour to the virtual knowledge dissemination during the times of crisis.

Design/methodology/approach

A total of 784 valid responses were considered for the confirmatory factor analysis to test the proposed hypotheses.

Findings

The study found that MTL and ML contributed to improved OLC and high LI moderated the positive relationship between MTL, ML and OLC. LI also directly contributed to an improved OLC.

Practical implications

Measures need to be designed to crowbar motivation to ensure heightened interaction of learners, to gear up the ML reach soaring heights achieving a dynamic OLC. Acclimatization of the OLC will be the visionary solution to tackle learning disruption during today’s pandemic times and also many other challenges to come in near-far future.

Originality/value

The current study established the moderating role of LI in influencing OLC, and also motivating facilitator’s for designing upgraded content, and thereby fuelling the intention to learn.