Research background: The twin pressures of economic downturn and climate change faced by countries around the world have become more pronounced over the past decade. A renewable energy transition is believed to play a central role in mitigating the economic-climate paradox. While the architectural and computational power of artificial intelligence is particularly well suited to address the challenges of massive data processing and demand forecasting during a renewable energy transition, there is very scant empirical assessment that takes a social science perspective and explores the effects of AI development on the energy transition. Purpose of the article: This paper aims to answer two key questions: One is, how does AI software development promote or inhibit the shift of energy consumption towards renewables? The other is, under what policy interventions does AI software development have a more positive effect on promoting renewable energy consumption? Methods: We employ a dataset of 62 economies covering the period 2011–2020 to analyze the impact of AI software development on the energy transition, where possible confounders, including political and economic characteristics and time-invariant elements, are controlled using fixed-effects estimation along with specified covariates. Findings & value added: AI software development can promote the energy transition towards renewables. There is suggestive evidence that the core mechanism linking such a positive relationship tends to lie in improving innovation performance in environmental monitoring rather than in green computing. Government support for R&D in renewable energy technologies is found to be significantly beneficial for harnessing the positive impact of AI software development on the energy transition. Compared to non-market-based environmental policies, market-based environmental policies have a more significant positive moderating effect on the relationship between AI software development and energy transition.

Purpose: Recent research validates an increasing knowledge of environmental concerns in manufacturing small and medium enterprises (SMEs). However, only a few studies maintain that green human resource management (HRM) practices and corporate social responsibility (CSR) play an important role, especially in the case of developing economies. Thus, this study aims to examine the direct and indirect relationship between green HRM practices and environmental sustainability (ES) through the mediation of CSR in SMEs in Pakistan.Design/methodology/approach: The cross-sectional design of this study considers the mechanism by which green HRM practices affect ES through CSR in the context of Pakistani SMEs. The authors collected data from 320 manufacturing SMEs and used the partial least squares structural equation modelling (PLS-SEM) technique to examine the relationship between variables.Findings: The empirical findings of this study suggest green HRM practices have a positive and significant impact on ES. Further, the second hypothesis is not supported. In addition to the direct impact, the indirect effect of green HRM practices on CSR is positive and significant. Finally, the authors determine that green HRM practices affect ES through the partial mediation of CSR.Originality/value: To date, this study is the first to use CSR as a mediator between green HRM practices and ES in the context of Pakistani SMEs. The study has important implications for HRM and government policy makers, suggesting they should improve strategies in favour of the green economy. Furthermore, developing countries could design similar studies with different future sustainability factors.

Due to speedily changing surroundings and market opportunities, a firm’s digital infrastructure is becoming increasingly significant as it performs a vital role in enhancing its innovation performance and equals viable benefits to the digital divide. The firm’s success is mainly dependent on its novelty and ability to innovate. The pivotal role of the digital infrastructure in increasing innovation performance has been explored in studies relating to innovation. The current research explores how digital infrastructure enhances innovation performance by examining the interplay between digital innovation and the moderating role of e-knowledge. Utilizing quantitative methods, this study gathered data through questionnaires from 383 respondents across various SMEs in China. The results highlight the significant impact of digital infrastructure on improving innovation performance. Additionally, the findings emphasize that digital innovation plays a crucial role in influencing the relationship between digital infrastructure and innovation performance. Furthermore, the study reveals that e-knowledge intervenes in this relationship, acting as a critical moderator. These insights underscore the complex dynamics of digital infrastructure’s role in fostering innovation within SMEs. The study extends an existing pool of knowledge regarding the large-scale influence of digital infrastructure on innovation performance. This shows that digital innovations and e-knowledge deliver through the mechanism of digital infrastructure linkage and contribute to improved innovation performance.