Understanding Social Media Usage at Work from the Perspective of Social Capital Theory

Author:

Kasim Nur MuneerahORCID,Fauzi Muhammad AshrafORCID,Wider WaltonORCID,Yusuf Muhammad FakhrulORCID

Abstract

With the pervasive use of social media (SM) in organizations, it is regarded as a relevant driver that can influence an employee’s job performance. This study fills in the gap that extends the job performance concept by discovering the role of SM in innovative performance in introducing new ideas beyond standard specifications to produce novel and valuable organizational outcomes. By adopting the social capital theory (SCT), the present study investigates the roles of social media use at work in predicting social capital (network ties, shared vision, and trust) that might promote work engagement and subsequently affect employees’ innovative job performance. The data was collected through an online survey, and 291 Malaysian employees participated. The partial least square structural equation modelling (PLS-SEM) technique was applied in data analysis for the measurement model and structural model used in this study. Findings show that SM use at work significantly predicts network ties, shared vision, and trust. Besides, network ties and trust positively promoted work engagement except for shared vision. Subsequently, work engagement was associated with innovative job performance. This study provides theoretical and practical implications for extending knowledge, as well as mitigating plans and efforts to resolve employees’ performance concerning the issues of SM use at work.

Funder

Ministry of Higher Education Malaysia

Publisher

MDPI AG

Subject

General Business, Management and Accounting

Reference97 articles.

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3