Green innovation and AI adoption drive sustainable advantage for construction SMEs in emerging economies
New study finds financial resources, institutional support, and AI-enabled innovation are critical for sustainable competitiveness in Pakistan’s construction sector
Construction SMEs in emerging economies face mounting pressure to balance sustainability goals with competitiveness amid climate change and rapid digital transformation. A new study examining Pakistan’s construction sector found that green product innovation, AI adoption, and institutional support play a critical role in helping firms achieve sustainable competitive advantage.
Researchers surveyed 228 construction SMEs and used Partial Least Squares Structural Equation Modeling (PLS-SEM) to investigate how financial resources influence sustainability performance through green innovation strategies. The study found that green product innovation fully mediates the relationship between financial resources and sustainable competitive advantage, meaning firms gain stronger long-term benefits when financial investments are directed toward eco-friendly innovation.
The findings also revealed that AI adoption significantly strengthens the positive impact of green innovation on business performance. AI technologies such as predictive analytics, digital twins, generative design, and AI-driven logistics optimization help firms improve operational efficiency, reduce waste, and enhance sustainability outcomes.
Institutional support, including regulatory clarity, sustainability incentives, and access to green finance, was also found to strengthen the relationship between financial resources and green innovation adoption. Researchers noted that clear and consistent environmental policies are more influential than financial incentives alone in encouraging sustainable transformation among SMEs.
The study highlights that sustainable competitive advantage in construction SMEs does not emerge from isolated capabilities but from the coordinated interaction of financial resources, environmental innovation, digital transformation, and supportive institutional frameworks. Researchers argue that policymakers and industry leaders should prioritize green financing mechanisms, AI capability development, and long-term sustainability policies to accelerate the transition toward environmentally responsible construction practices in emerging economies.
Method of Research
Survey
Subject of Research
Not applicable
Article Title
Activating Resources for Sustainable Advantage: Green Innovation, AI Adoption and Institutional Support in Construction SMEs of an Emerging Economy
Green innovation and digital marketing shape sustainable brand success among Gen Z consumers
New study finds green brand image plays a critical mediating role between eco-innovation, digital strategy, and sustainable marketing performance in Bali
Bentham Science Publishers
As environmental awareness continues to reshape consumer behavior, a new study highlights how green product innovation and digital marketing strategies are helping brands strengthen sustainable marketing performance among Generation Z consumers.
Researchers developed an integrative green marketing model to examine how eco-friendly product innovation and digital marketing influence sustainable marketing outcomes, with green brand image serving as a key mediating factor. The study focused on Gen Z consumers in Bali, a region increasingly recognized for its sustainable fashion and environmentally conscious lifestyle movements.
Using a mixed-method sequential explanatory approach, the researchers combined quantitative analysis through Partial Least Squares Structural Equation Modeling (PLS-SEM) with qualitative interviews involving business owners and marketing practitioners in the sustainable fashion and lifestyle sector.
The findings revealed that green product innovation, including eco-design, recyclable materials, environmentally friendly packaging, and energy-efficient production processes, significantly improves green brand image. Digital marketing strategies, particularly sustainability-focused social media communication and transparent online engagement, were also found to strongly enhance brand image and directly improve sustainable marketing performance.
Importantly, the study found that green product innovation does not directly translate into stronger marketing performance unless consumers perceive the brand as genuinely environmentally responsible. This confirms the critical mediating role of green brand image in converting environmental innovation into customer trust, loyalty, advocacy, and repurchase intentions.
The qualitative findings further showed that Gen Z consumers value authenticity and transparency in sustainability claims. Brands that openly communicate their environmental practices, certifications, and behind-the-scenes sustainability efforts through digital platforms are more likely to build emotional connections and long-term engagement with young consumers.
The research also demonstrated that sustainable practices generate measurable environmental benefits by reducing waste, encouraging recycling, and supporting resource-efficient production systems. These findings align with the Natural Resource-Based View (NRBV), which argues that environmental responsibility can become a long-term source of competitive advantage.
Although market orientation did not significantly strengthen the relationship between green brand image and sustainable marketing performance, researchers noted that organizations still benefit from understanding changing consumer expectations and adapting quickly to sustainability trends.
The study provides important implications for businesses, especially micro, small, and medium enterprises (MSMEs), seeking to compete in sustainability-driven markets. Researchers recommend integrating environmental innovation with authentic digital communication strategies to strengthen green reputation and improve long-term marketing outcomes.
The findings contribute to growing discussions surrounding sustainable consumption, green branding, and the role of digital engagement in shaping environmentally responsible consumer behavior among younger generations.
Method of Research
Survey
Subject of Research
Not applicable
Article Title
Integrative Model of Green Marketing: Product Innovation, Digital Strategy, and the Role of Brand Image Mediation in Gen Z Consumers
AI-driven job insecurity fuels burnout among manufacturing workers in emerging economies
New study finds psychological safety and AI self-efficacy can protect employees from stress and burnout during workplace AI transformation
Artificial intelligence (AI) is rapidly reshaping manufacturing industries worldwide, but a new study suggests the transition may come at a psychological cost for employees, particularly in emerging economies where workforce protections and digital preparedness remain limited.
Researchers investigating AI-integrated manufacturing firms in Pakistan found that AI-induced job insecurity significantly increases employee burnout, while psychological safety and confidence in working with AI systems can help buffer workers from the negative emotional impacts of technological disruption.
The study, published in Human Systems Management, surveyed 208 employees working in manufacturing sectors undergoing AI-driven transformation, including textiles, surgical instruments, and leather production industries. Using Partial Least Squares Structural Equation Modeling (PLS-SEM), the researchers examined how fears related to AI adoption influence employee well-being and workplace behavior.
The findings revealed that employees who fear job displacement, role marginalization, or skill obsolescence due to AI integration are significantly more likely to experience burnout, including emotional exhaustion and disengagement from work. The researchers found that these effects become stronger when workers perceive low levels of psychological safety in their organizations.
Psychological safety refers to employees’ belief that they can openly communicate concerns, ask questions, seek support, or make mistakes without fear of punishment or embarrassment. According to the study, AI-related uncertainty can erode this sense of interpersonal safety, especially in workplaces with hierarchical structures and limited transparency during technological change.
The researchers also identified AI self-efficacy as a critical protective factor. Employees who reported higher confidence in their ability to learn, use, and adapt to AI technologies experienced less decline in psychological safety and were better able to cope with job insecurity. In other words, workers who believe they can successfully engage with AI systems are more resilient during digital transformation.
“Our findings show that successful AI integration depends not only on technological infrastructure but also on psychosocial readiness,” the authors explained. “Organizations must ensure that employees feel supported, informed, and capable during periods of technological change.”
The study developed and tested a moderated mediation framework integrating Conservation of Resources (COR) Theory, the Job Demands-Resources (JD-R) Model, Social Cognitive Theory (SCT), and Uncertainty Management Theory (UMT). Results confirmed that psychological safety partially mediates the relationship between AI-induced job insecurity and burnout, while AI self-efficacy moderates the impact of insecurity on psychological safety.
Researchers emphasized that the challenges identified in the study are especially relevant in emerging economies, where rapid digitalization often outpaces workforce training and institutional support systems. In such contexts, employees may face technological disruption without adequate opportunities for reskilling or career transition support.
The authors recommend that organizations adopt human-centered AI implementation strategies that prioritize employee well-being alongside technological advancement. Suggested interventions include AI literacy and reskilling programs, transparent communication regarding AI adoption plans, ethical leadership practices, and initiatives designed to foster psychologically safe work environments.
The researchers argue that AI transformation should not be viewed solely as a technological or economic process, but also as a human and organizational challenge requiring long-term investment in employee resilience and support systems.
The study contributes to growing international discussions surrounding the psychological and social consequences of AI adoption in workplaces and highlights the importance of balancing innovation with workforce sustainability in industrial settings.
Method of Research
Survey
Subject of Research
Not applicable
Article Title
AI-induced job insecurity and employee burnout: The moderating role of AI self-efficacy in emerging market manufacturing
No comments:
Post a Comment