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Amidst the challenges of globalisation and rapid technological advancements, small and medium-sized enterprises (SMEs) in the manufacturing sector are increasingly adopting smart manufacturing practices. Manufacturing SMEs in Malaysia encounter difficulties ensuring sustainability performance and maintaining green ambidexterity innovation (GAI), constrained by limited resources and other barriers. However, academic exploration of these challenges remains limited, particularly within the context of Malaysian SMEs. Thus, based on the natural-resource-based view (NRBV), contingency theory (CT) and ambidexterity paradigm, the goal of this study is to examine the influence of green entrepreneurship orientation (GEO) on corporate green performance (CGP) with the mediation of GAI and moderation of green technological turbulence (GTT) in Malaysian manufacturing SMEs.

This study follows a quantitative method, positivism paradigm, cross-sectional time horizon and structured questionnaire survey. In total, 313 validated responses from Malaysian manufacturing SMEs are analysed using partial least squares—structural equation modelling (PLS-SEM).

The empirical results reveal a positive relationship among GEO, GAI and CGP. Moreover, GAI partially mediates between GEO and CGP. However, GTT did not moderate the GEO-CGP and GEO-GAI associations in the Malaysian manufacturing SMEs context.

The findings of this research offer significant insights for academia, policymakers, entrepreneurs, manufacturing management and pertinent stakeholders in developing green manufacturing firms concerning the balance of exploitation and exploration endeavours within the context of an uncertain and volatile industry landscape while simultaneously promoting GEO, GTT and CGP.

This study investigates the impact of smart technology, artificial intelligence, robotics and algorithms (STARA) on green performance (GP) in hospitality organisations, the mediating role of green human resource management (GHRM), employees’ green commitment (EGC), and the moderating role of green psychological climate (GPC) in the hospitality industry landscape of Malaysia.

The study uses a quantitative survey-based, cross-sectional approach. PLS-SEM has been applied to analyse the direct and indirect relationships. Using the non-probability sampling method, a purposive sampling technique was used to collect 240 data points from top- and mid-level managers of five-star hotels in Malaysia.

This study identified that STARA positively influences green HRM and EGC, impacting green performance. However, STARA does not positively impact GP. Moreover, the study identified a significant mediation effect of EGC and GHRM practices between STARA and GP and a moderation effect of GPC between green HRM and EGC.

The study can provide valuable insights for the government and policymakers to update their policies for sustainable development using high-end technologies. It will also help the relevant stakeholders and think tanks assess the current status and commitment to several sustainable goals.

By integrating the dynamic capability theory (DCT) and the social cognitive theory (SCT), this study proposed a new framework incorporating STARA capabilities with GHRM, GPC and EGC, which is novel in the body of understanding. It provides novel moderated-mediation evidence and bolsters existing insights.