Big data analytics, GHRM practices, and green digital learning paving the way towards green innovation and sustainable firm performance

Q1 Economics, Econometrics and Finance Journal of Open Innovation: Technology, Market, and Complexity Pub Date : 2024-10-05 DOI:10.1016/j.joitmc.2024.100396
Mohammad Said Ibrahim Alshuaibi , Adeeb Alhebri , Sajjad Nawaz Khan , Adnan Ahmed Sheikh
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Abstract

This research aims to understand the connections among Green Human Resource Management (GHRM) practices, Green Digital Learning Orientation (GDLO), Green Innovation (GI), and Sustainable Firm Performance (SFP) in small and medium-sized enterprises (SMEs) of Saudi Arabia. The data were analyzed utilizing the PLS-SEM approach, whereas data from 341 SMEs was examined. The study findings reveal significant positive relationships between GHRM and GI, GDLO and GI, GHRM practices and GDLO, and GI and SFP. The study supports the mediating role of green innovation in these relationships. Big data analytics is found to moderate the connections between GHRM-GI and GDLO-GI. This study is the first to establish the theoretical connection with the AMO model by emphasizing how GHRM and innovation enhance sustainable firm performance. Also, practical implications guide SMEs in integrating GHRM practices, raising a culture of innovation, and acknowledging the pivotal role of employees. The study recognizes limitations, urging future research to consider external factors and address gaps in the literature on GHRM practices in SME sustainable firm performance in the Gulf region.
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大数据分析、全球人力资源管理实践和绿色数字化学习为绿色创新和可持续企业绩效铺平道路
本研究旨在了解沙特阿拉伯中小型企业(SMEs)的绿色人力资源管理(GHRM)实践、绿色数字化学习导向(GDLO)、绿色创新(GI)和可持续企业绩效(SFP)之间的联系。研究采用 PLS-SEM 方法对数据进行了分析,并对 341 家中小企业的数据进行了研究。研究结果表明,人力资源管理与 GI、GDLO 与 GI、人力资源管理实践与 GDLO 以及 GI 与 SFP 之间均存在明显的正相关关系。研究支持绿色创新在这些关系中的中介作用。研究发现,大数据分析可以缓和 GHRM-GI 与 GDLO-GI 之间的关系。本研究首次通过强调 GHRM 和创新如何提高企业的可持续绩效,建立了与 AMO 模型的理论联系。此外,研究的实际意义还指导中小企业整合 GHRM 实践,提升创新文化,并承认员工的关键作用。本研究认识到了局限性,敦促未来的研究考虑外部因素,并解决海湾地区中小企业可持续企业绩效中全球人力资源管理实践方面的文献空白。
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来源期刊
Journal of Open Innovation: Technology, Market, and Complexity
Journal of Open Innovation: Technology, Market, and Complexity Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
11.00
自引率
0.00%
发文量
196
审稿时长
1 day
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