A Synergy of Knowledge Management Processes Impacting Organizational Ambidexterity for Pakistani IT Firms

Abstract

Parallel multiple mediation analysis has received limited attention in Business and Management research, despite its potential to provide deeper insights than simple mediation models. This study applies a parallel multiple mediator approach to examine how predictors shape outcomes through simultaneous mediating pathways. Data were collected from 655 respondents in Pakistan’s IT sector using an investigative research design. Findings show that the predictor variable improved the outcome by 57% through the mediating mechanism. The two specific indirect effects under study were significantly different from zero (p < .05), confirming partial mediation among the antecedent and consequent variables. These mediating effects highpoint the contribution made by the individual and combined mediators in single-path and parallel- multiple mediator models. Beyond experimental results, this research paper accentuates the significance of conditional process analysis which incorporates the concept of bootstrapping confidence intervals thereby reinforcing the rigor of mediation research. This study offers practical guidance to researchers and students seeking to explore and apply detailed and sophisticated mediation models within organizational contexts.