The integration of generative AI tools, such as ChatGPT, Gemini, and DeepSeek, into higher education offers transformative opportunities for personalised learning and academic productivity. However, their unregulated use raises concerns about academic integrity, critical thinking, and educational equity. This systematic review synthesises insights from 96 peer-reviewed articles, identifying six key intervention themes, namely, curriculum integration, policy and governance, faculty development, student-centred strategies, assessment adaptation, and technological infrastructure. Together, these themes form a comprehensive intervention framework designed to guide students’ ethical and effective engagement with AI. This review highlights the need for institutions to move beyond fragmented policies, fostering systemic cultural and pedagogical change to align AI use with authentic learning outcomes. By bridging theoretical gaps and providing actionable strategies, this framework equips educators and policymakers to scaffold responsible AI integration across diverse higher education contexts.

Purpose: Supply chain visibility plays a pivotal role in ensuring stakeholders have access to and share mutually beneficial information - information that is critical to processes, operations, and informed decision-making. This study leverages a framework to explore the influence of four key factors on supply chain visibility: supply chain linkages, supply chain relationships, green absorptive capacity, and information sharing.Design/methodology/approach: This investigation adopted a survey-based research methodology to collect data. A sampling strategy was employed to recruit participants from various industry sectors, with a primary focus on manufacturing and business. A total of 204 useable questionnaires were obtained. Exploratory factor analysis was conducted to identify underlying factors within the data. Confirmatory factor analysis (CFA) was then used to assess the validity and reliability of the identified factors. Finally, structural equation modelling was employed to test the hypothesised relationships between the constructs studied.Findings: This study's findings, particularly the significant positive correlations observed between information sharing, supply chain relationship, internal linkage, and green absorptive capacity, provide evidence that these factors are key drivers of supply chain visibility. Additionally, the analysis revealed that external linkages with supply chain partners further enhance information sharing within the chain.Originality/value: This study offers a unique contribution by exploring the interplay between green absorptive capacity, information sharing, internal and external supply chain linkages, and their combined influence on supply chain visibility. Extending prior research that focused primarily on information sharing and traditional supply chain relationships, this study integrates green absorptive capacity and linkages within a novel framework. Our findings suggest that green absorptive capacity enhances information sharing within the supply chain network, ultimately leading to improved visibility. Furthermore, the study distinguishes the influence of internal vs external linkages on visibility.

This study integrates the diffusion of innovation theory (DIT), technology acceptance model (TAM), and unified theory of acceptance and use of technology (UTAUT) to explore the antecedents of the actual usage of human resource information systems (HRISs) by employees in work-from-home (WFH) and hybrid contexts. The study gathered a total of 274 usable responses from employees across ten Sri Lankan software companies. Data analysis utilized the partial least square (PLS) path modelling technique, chosen due to the non-normality of the data. The research findings revealed that observability influences the perceived ease of use (PEOU) of HRIS in WFH and hybrid contexts. Similarly, compatibility emerged as the most critical attribute affecting perceived usefulness (PU). Both PEOU and PU, in conjunction with social influence, contribute to driving employees’ behavioural intention to use HRIS in WFH and hybrid contexts. Ultimately, behavioural intention and facilitating conditions were identified as the major variables that impact the actual usage of HRIS by employees in WFH and hybrid contexts. Notably, within the expanding body of post-pandemic business literature, this study represents one of the very first to investigate the actual usage of HRIS in WFH and hybrid contexts. Practitioners can utilize the findings to enhance and optimize their HRIS adoption efforts.