Green product innovation and digital marketing are helping sustainable brands strengthen customer loyalty and long-term marketing performance among Generation Z consumers, according to a new study conducted in Bali. Researchers found that eco-friendly product innovation, transparent digital communication, and sustainability-focused branding significantly improve green brand image, which in turn drives sustainable marketing success.

The study revealed that Gen Z consumers value authenticity, environmental responsibility, and transparent sustainability practices when making purchasing decisions. Brands that actively communicate eco-friendly initiatives through social media and digital platforms are more likely to build trust, engagement, and emotional connections with younger consumers.

Researchers also found that green product innovation alone does not directly improve marketing performance unless consumers perceive the brand as genuinely environmentally responsible. The findings highlight the critical role of green brand image in transforming environmental innovation into stronger customer satisfaction, loyalty, advocacy, and repurchase intentions.

The study provides important insights for businesses and MSMEs seeking to compete in sustainability-driven markets by integrating green innovation with effective digital marketing strategies.

Artificial intelligence is rapidly transforming manufacturing industries worldwide, but a new study highlights the growing psychological challenges workers face during this transition, particularly in emerging economies. Researchers found that AI-induced job insecurity significantly increases employee burnout, while psychological safety and confidence in using AI technologies can help reduce these negative effects.

The study surveyed 208 employees working in AI-integrated manufacturing firms in Pakistan across sectors including textiles, surgical instruments, and leather manufacturing. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), the researchers examined how AI-related job insecurity affects burnout and how psychological safety and AI self-efficacy influence employee resilience during technological change.

The findings revealed that employees who fear job displacement, skill obsolescence, or reduced career relevance due to AI adoption are significantly more likely to experience emotional exhaustion and disengagement. The study further demonstrated that psychological safety, employees’ ability to openly communicate concerns and seek support without fear of negative consequences, plays a critical role in reducing burnout.

Importantly, workers with higher AI self-efficacy, meaning confidence in their ability to understand and work with AI systems, were better able to cope with uncertainty and maintain psychological safety despite workplace disruption. The study found that AI self-efficacy weakens the harmful impact of job insecurity on employee well-being.

The researchers emphasize that organizations must move beyond simply implementing AI technologies and instead prioritize human-centered AI adoption strategies. Recommended approaches include workforce reskilling programs, transparent communication, ethical leadership, and psychologically safe work environments to help employees adapt to digital transformation.

The study contributes to growing global discussions on the human consequences of AI adoption and provides important insights for organizations and policymakers seeking to balance technological innovation with employee well-being in resource-constrained manufacturing environments.

The move from primary to secondary school is a major transition for many children, marked by new environments, new peers and increasing expectations. But while the jump signals growing up and greater independence, it also triggers a significant decline in student wellbeing, according to new research from Adelaide University.

A newly published systematic review unveils how educational leaders have approached the benefits, costs, and risks of Artificial Intelligence (AI) in their leadership practices worldwide. The literature suggests a lack of consensus on utilising AI and "a human-centred, symbiotic relationship between AI and educational leaders" in the future. The authors urge for more attention on AI sustainability and innovation management while stressing the importance of adapting leadership philosophy to humanity in a fast-changing AI era.