Nations and economies around the globe are making efforts to embrace sustainable practices. With industrialization, sustainability has become a major concern across global markets. Neglecting sustainable practices may result in organizations’ substantial financial losses and damage their market reputation. Industry 4.0 integrates independent machines, processes, and systems through the Internet of Things (IoT) while incorporating technologies like artificial intelligence (AI), intelligent systems, and data analytics. The interconnectedness of these technologies with the ecosystem helps in simultaneous optimization, monitoring and enhancing supply chain efficiency, and productivity throughout its life cycle. Advancements in this field hold unmeasurable competency to advance sustainability by minimizing waste and consumption of resource. However, alongside its promise, Industry 4.0 introduces economic and social challenges. Automation raises concerns about job displacement, emphasizing the need for reskilling and upskilling the workforce. The widening digital divide between advanced and developing regions risks exacerbating global inequalities. Despite these inhibitions and challenges, Industry 4.0 offers much to transform opportunities addressing pressing environmental and social concerns. By leveraging advanced technologies, industries can drive the efficiency of resources, reduce ecological impact, and innovate solutions for a sustainable future. Achieving this vision demands collaborative efforts across sectors, ethical governance, and a collective obligation to build an additional equitable and balanced world for future generations. <!----> <!----> <!----> <!---->

Green Technology Transmission (GTT) offers a powerful framework for addressing global environmental challenges and advancing the Sustainable Development Goals (SDGs). While GTT has the potential to contribute to multiple SDGs, this study specifically examines its role in supporting SDG 7 (Affordable and Clean Energy), SDG 9 (Industry, Innovation, and Infrastructure), and SDG 13 (Climate Action). Conducted within the Australian industrial context, this research employs a qualitative-dominant mixed-methods approach to explore the environmental, economic, and social impacts of GTT. By examining organisational barriers and proposing practical, industry-specific strategies, the research offers actionable solutions to align practises with sustainability goals. This study explores GTT’s role in reducing emissions, improving resource efficiency, and fostering social equity, with leadership and stakeholder collaboration emerging as key enablers. The findings demonstrate how GTT serves as a bridge between policy and practice, empowering high-emission industries to adopt sustainable practises and contribute meaningfully to global sustainability efforts.

Evaluating Management Information System (MIS) effectiveness in tertiary education remains conceptually fragmented, with existing models primarily emphasizing technical performance rather than organizational interdependencies. This study develops a structural framework for assessing institutional MIS effectiveness using a sequential mixed-methods design integrating inductive construct development, expert validation, and quantitative dependency modeling. Fifteen themes and fifty-eight subthemes were identified as core dimensions of MIS capability within tertiary education institutions. Dependency and reliance analyses reveal strong systemic interconnections, indicating that institutional MIS functions operate as an integrated organizational system rather than independent domains. The framework is represented as a directed weighted graph to preserve enabling relationships, and a maximum spanning arborescence is derived to provide an interpretable implementation backbone. By modeling structural interdependencies explicitly, the proposed framework supports more informed prioritization of MIS development, strategic alignment across institutional functions, and evidence-based governance decision-making. The framework is intended primarily for evaluating organizational, governance, administrative, and institutional dimensions of MIS effectiveness within tertiary education institutions and does not explicitly assess user-level constructs such as usability, interface design, accessibility, or individual user experience. The study establishes a foundation for future empirical validation and cross-institutional benchmarking.

As sustainability becomes a strategic priority, the Information Technology (IT) sector faces pressure on both reducing its environmental impact and leading in innovation. This study examines how Green Human Resource Management (GHRM) practices influence employees’ Green IT Attitudes (GITA) and beliefs within the IT industry. Guided by the Belief–Action–Outcome (BAO) framework, it explores how HR strategies can foster eco-conscious mindsets that support sustainable behaviour. A quantitative cross-sectional design was used, collecting data through a validated questionnaire. The study was conducted in Australia, focusing on IT professionals employed. Responses from 112 IT professionals, determined through G*Power sample estimation, were analysed using SPSS 28.0.1 with regression techniques to assess the relationship between GHRM practices and environmental attitudes and beliefs. Results indicate that GHRM practices have a modest but significant positive effect on employees’ green IT attitudes and beliefs, supporting the view that structured HR initiatives can shape sustainability-driven mindsets. The findings emphasize the strategic role of HR in embedding sustainability within organizational culture, particularly in technology-driven environments. The study offers practical guidance for IT organizations aiming to integrate sustainability into internal systems by leveraging HRM. Future research should examine moderating variables and long-term behavioural effects, enhancing our understanding of sustainability-focused HRM in the digital era.

Logistics, the sector leading the way toward global supply chain transformation, is influenced by the forces of technology, sustainability imperatives, and growing demands of modern businesses. Building on this foundation, the present chapter discusses the important roles, the associated challenges, and the emerging trends in logistics, bringing out why logistics is key to efficient, resilient, and responsible operations. In addition to the challenges of globalization, technology, and sustainability issues, it first gives a summary of the essential logistics functions, including inbound and outbound operations, inventory management, and distribution. The chapter examines how advancements are changing logistics to make it more effective, less expensive, and more transparent via the prism of enablers of technology, including blockchain, robotics, IoT, and artificial intelligence. Finally, the development of automation in last-mile deliveries and warehouse management, as well as how drones and driverless cars are transforming the conventional logistics process, is discussed. The chapter tries to cover the aspect of sustainability by discussing on green logistics practices, renewable energy adoption, and reverse logistics systems focusing on reducing environmental impact. The chapter also emphasizes logistics’ supporting role in building supply chains that are robust, flexible, and sustainable—a forward-looking development. In addition to adding to scholarly discussions, this research gives practitioners practical advice that aids them in resolving today’s logistical challenges. <!----> <!----> <!----> <!---->

In this modern digitalization era, we see a complete shift of supply chains into digital technology, creating an intricate maze for consumption. The digitization of supply chains also reveals their weaknesses making them vulnerable to numerous threats of cybersecurity. However, this pays off greatly in terms of the innovative productivity it brings about in the realm of sustainability. This study seeks to assess the challenges and possible solutions that guarantee security within the digital supply chains. Topics explored include cybersecurity threats and challenges to collaboration, regulatory compliance, and best practices; research methods include document analysis, focus groups, and interview. Findings prominently support strong cybersecurity measures, stakeholder cooperation, regulatory compliance, and ongoing security posture monitoring. Options include employee training, supplier risk management, and a security-conscious culture, all of which could strengthen digital supply chains against the effects of cyberattacks. The study will elucidate an interesting view on security issues in a digital supply chain in Industry 4.0 across diverse industrial sectors. <!----> <!----> <!----> <!---->