
Review of Individual Differences through Ability-based Emotional Intelligence: An Examination of Resistance to Change
Author(s) -
Ali Junaid Khan,
Arslan Ayub,
Tanveer Ahmed,
Muhammad Akbar Ali Ansari
Publication year - 2022
Publication title -
review of applied management and social sciences
Language(s) - English
Resource type - Journals
eISSN - 2708-3640
pISSN - 2708-2024
DOI - 10.47067/ramss.v5i1.197
Subject(s) - association (psychology) , context (archaeology) , psychology , emotional intelligence , workforce , resistance (ecology) , causality (physics) , intellect , tertiary sector of the economy , social psychology , structural equation modeling , developmental psychology , computer science , marketing , political science , business , paleontology , ecology , philosophy , physics , theology , quantum mechanics , machine learning , law , psychotherapist , biology
This study investigates the sequential mediating effects of individual conflict on change and emotional intelligence between age and work outcomes, explained through the ability-based model of expressive intellect. In light of the increasingly diverse workforce, it is interestingly important to investigate individual differences in the context of organisational change. Thus, the study also aims to measure the association between age and individual conflict to alteration, considering the length of service as the moderating variable. The study collected data from 413 respondents working in the telecom sector in Punjab, Pakistan. SmartPLS (v 3.2.7) was employed to investigate the measurement model and the structural model. The findings revealed that individual resistance to change and emotional intelligence sequentially mediate the association between age and work results. Work also generates the moderating effect of service length with age and individual resistance to change. The study's limitations included a cross-sectional design, which prevents us from concluding causality. The study makes significant theoretical and practical contributions to organisational change management.