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      Driving job satisfaction through inclusive knowledge management: a focus on learning and communication in diverse workplaces

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          Abstract

          Background

          This study examines the impact of knowledge management practices (KMP) on job satisfaction, focusing on the mediating roles of learning opportunities and communication quality. It aims to provide insights into how effectively KMP can enhance employee satisfaction in Pakistan's IT sector.

          Method

          The research utilizes cross-sectional data collected from 345 IT sector employees in Pakistan. A survey method was employed, using a structured questionnaire to gather the necessary data. The data was then analyzed to determine the relationships between KMP, learning opportunities, communication quality, and job satisfaction.

          Results

          The findings reveal that KMP has a significant positive impact on job satisfaction. Additionally, KMPs are found to positively influence learning opportunities and communication quality, which in turn significantly contribute to job satisfaction. The results demonstrate that learning opportunities and communication quality mediate the relationship between KMP and job satisfaction.

          Discussion

          This study recommends that the IT sector in Pakistan can improve job satisfaction by developing effective KMP that supports learning and communication quality. These practices also enhance employee satisfaction and are compatible with the identified strategic objectives of a knowledge-based economy in Pakistan's framework. In addition, this research extends the theoretical literature on the relationship between KMP and job satisfaction, with learning opportunities and communication quality as mediating factors. It offers important implications for IT firms and presents a foundation for future studies to examine potential moderators and replicate these results in other industries and geographies.

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          Most cited references60

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          Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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            Partial least squares structural equation modeling (PLS-SEM)

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              Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models.

              Hypotheses involving mediation are common in the behavioral sciences. Mediation exists when a predictor affects a dependent variable indirectly through at least one intervening variable, or mediator. Methods to assess mediation involving multiple simultaneous mediators have received little attention in the methodological literature despite a clear need. We provide an overview of simple and multiple mediation and explore three approaches that can be used to investigate indirect processes, as well as methods for contrasting two or more mediators within a single model. We present an illustrative example, assessing and contrasting potential mediators of the relationship between the helpfulness of socialization agents and job satisfaction. We also provide SAS and SPSS macros, as well as Mplus and LISREL syntax, to facilitate the use of these methods in applications.
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                Author and article information

                Contributors
                sobiasalamat4@gmail.com
                Journal
                BMC Psychol
                BMC Psychol
                BMC Psychology
                BioMed Central (London )
                2050-7283
                27 January 2025
                27 January 2025
                2025
                : 13
                : 71
                Affiliations
                [1 ]School of Economics and Management, Hunan University of Arts and Science, ( https://ror.org/01ggnn306) Changde, Hunan China
                [2 ]School of Business, Hunan University of Humanities, Science and Technology, ( https://ror.org/00s7jmd98) Loudi, China
                [3 ]College of Economics and Management, Beijing University of Technology, ( https://ror.org/037b1pp87) Beijing, China
                Article
                2404
                10.1186/s40359-025-02404-w
                11771126
                39871371
                8898467d-eb1f-4ad9-8b0b-9f44237c0ecc
                © The Author(s) 2025

                Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

                History
                : 8 October 2024
                : 20 January 2025
                Categories
                Research
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                © BioMed Central Ltd., part of Springer Nature 2025

                job satisfaction,learning opportunities,communication quality,it sector

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