绿色物联网(GIoT)采用框架通过数字社交网络提高中小企业的环境绩效

IF 4.2 Q1 BUSINESS
Muhammad Farhan Jalil, Dayang Affizzah Binti Awang Marikan, Mohamad bin Jais, Kartinah Ayupp, Muhammad Hafiz bin Mohd Shukri
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引用次数: 0

摘要

中小型企业(SMEs)面临越来越大的采用可持续实践的压力,但采用绿色物联网(GIoT)等先进技术仍然有限。本研究通过提出和验证旨在提高环境绩效的GIoT采用框架来解决这一差距,强调数字社交网络(DSN)的中介作用。该模型扩展了技术接受和使用统一理论(UTAUT),将感知动机和感知环境知识作为额外的预测因素。对来自制造业和服务业的614名中小企业主和管理者进行了定量调查,并使用结构方程模型(SEM)进行了分析。结果表明,所有UTAUT结构以及扩展变量都显著影响GIoT的采用。采用GIoT直接改善了环境绩效,促进了DSN,进一步放大了其积极的环境影响。研究还显示,制造业中小企业采用GIoT的意愿更强。对政策和实践的影响进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Green Internet of Things (GIoT) Adoption Framework to Enhance Environmental Performance of SMEs Through the Digital Social Networking

A Green Internet of Things (GIoT) Adoption Framework to Enhance Environmental Performance of SMEs Through the Digital Social Networking

Small and Medium Enterprises (SMEs) face increasing pressure to adopt sustainable practices, yet the adoption of advanced technologies like the Green Internet of Things (GIoT) remains limited. This study addresses this gap by proposing and validating a GIoT adoption framework aimed at enhancing environmental performance, emphasizing the mediating role of digital social networking (DSN). Extending the Unified Theory of Acceptance and Use of Technology (UTAUT), the model incorporates perceived motivation and perceived environmental knowledge as additional predictors. A quantitative survey of 614 SME owners and managers from manufacturing and service sectors was conducted, and structural equation modelling (SEM) was used for analysis. Results show that all UTAUT constructs, along with the extended variables, significantly influence GIoT adoption. GIoT adoption directly improves environmental performance and promotes DSN, which further amplifies its positive environmental impact. The study also reveals that manufacturing SMEs exhibit a stronger intent to adopt GIoT. Implications for policy and practice are discussed.

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来源期刊
Business Strategy and Development
Business Strategy and Development Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
5.80
自引率
6.70%
发文量
33
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