Green ICT Adoption for Sustainable Development: The Moderating Role of Firm Size

IF 3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY

Human Behavior and Emerging Technologies Pub Date : 2025-09-04 DOI:10.1155/hbe2/5515194

Herman Mandari

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Abstract

The adoption of green ICT (GI) is considered the best alternative to address the challenges that arise due to the massive use of ICT devices in the fourth industrial revolution. Despite its advantages regarding addressing sustainable environmental challenges, its adoption in developing economies is still very low. Furthermore, the available study on green technology adoption has less considered the impact of firm size on the adoption. Therefore, this study adopts the TOE model to examine the adoption of GI in Tanzania. Additionally, the study examines the moderating effect of firm size on adopting the GI. Data from 211 purposively sampled organizations were analyzed using partial least squares structural equation modeling. Findings revealed that relative advantage, compatibility, government support, employee knowledge, top management support, and competitor pressure significantly influence the adoption of GI. Additionally, firm size moderates the relationship between compatibility and GI as well as competitor pressure and GI. The study has further provided recommendations that could help policymakers and scholars with the adoption of GI technology.

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绿色ICT对可持续发展的影响：企业规模的调节作用

采用绿色信息通信技术（GI）被认为是应对第四次工业革命中大量使用信息通信技术设备所带来的挑战的最佳选择。尽管它在应对可持续环境挑战方面具有优势，但在发展中经济体的采用率仍然很低。此外，现有的绿色技术采用研究较少考虑企业规模对采用的影响。因此，本研究采用TOE模型来考察坦桑尼亚地理标志的采用情况。此外，研究还考察了企业规模对采用GI的调节作用。采用偏最小二乘结构方程模型对211个有目的抽样组织的数据进行分析。研究发现，相对优势、兼容性、政府支持、员工知识、高层管理支持和竞争对手压力对地理标志的采用有显著影响。此外，企业规模调节兼容性与地理特征之间的关系，以及竞争对手压力与地理特征之间的关系。该研究进一步提出了一些建议，可以帮助政策制定者和学者采用地理标志技术。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)

CiteScore

17.20

自引率

8.70%

发文量

期刊介绍： Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.