Smart working: Bayesian insights and beyond

Author:

Giraldi LucaORCID,Rossi LucaORCID

Abstract

PurposeThis research investigates how smart working contributes to sustainable development and organisational resilience, aligning with select United Nations Sustainable Development Goals.Design/methodology/approachDrawing on 964 respondents from small and medium-sized Italian enterprises, this study employs Bayesian Structural Equation Modeling to examine the interconnections between smart working, organisational resilience, employee well-being, and sustainability outcomes.FindingsThe results show a strong positive relationship between organisational resilience and the adoption of smart working. Implementing smart working enhances employee work-life balance and productivity, lowers commuting costs, and reduces resource consumption, contributing to economic and environmental sustainability.Research limitations/implicationsThe generalisability of this study is constrained by its Italian sample and cross-sectional methodology. Future research should address these limitations by examining long-term environmental effects, comparing hybrid and fully remote models, and extending analyses to diverse industries and international landscapes.Originality/valueUsing Bayesian Structural Equation Modelling, this study reveals the importance of robust digital infrastructure, agile management, and supportive policymaking in maximising the sustainability and resilience benefits of remote work contributing to key Sustainable Development Goals.

Publisher

Emerald

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1.7亿篇,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 © 2019-2025 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