Purpose: This study aims to investigate the evolving role and impact of ChatGPT in higher education. It seeks to understand the applications, benefits and challenges associated with ChatGPT, focusing on its potential to enhance teaching, learning and assessment while addressing ethical considerations in the educational context. Design/methodology/approach: Using a comprehensive literature review approach, this study systematically examined 29 existing studies and scholarly works related to ChatGPT in higher education. Synthesizing these findings offers a multifaceted view of the subject, encompassing applications, advantages, limitations and ethical implications. Findings: The study indicates that ChatGPT can have a significant impact on personalized learning, lesson planning, providing feedback, creating study materials, generating quizzes and exam questions, supporting language learning, offering virtual teaching assistance, tutoring and fostering critical thinking. However, it also sheds light on the ethical issues and challenges associated with its use, including privacy and data protection, transparency and alignment with educational principles. Practical implications: This study underscores the practical applications of ChatGPT in higher education, offering insights that can significantly enhance teaching, learning and assessment practices. By leveraging ChatGPT, institutions can personalize learning experiences and provide tailored feedback and streamlined assessment processes, thereby improving student engagement and understanding. In addition, the integration of ChatGPT as a virtual teaching assistant can enhance teaching effectiveness and efficiency by supporting classroom activities, providing additional resources and answering students’ questions in real-time. Originality/value: The originality of this study lies in its comprehensive exploration of ChatGPT’s applications in higher education, offering a balanced perspective on opportunities and ethical considerations. By providing valuable insights, it equips educators and institutions with a deeper understanding of the ChatGPT’s potential and challenges in the educational landscape.

Purpose: This research explores factors influencing the adoption and sustainability of Business Intelligence Systems (BIS) in commercial banks. It aims to understand how organizational readiness, compatibility, complexity, top management support, and competitive pressure influence perceived ease of use, usefulness, and behavioral intention to adopt BIS. Design/methodology/approach: The study utilizes a mixed-method approach. Study 1 employs Partial Least Squares Structural Equation Modeling (PLS-SEM) for quantitative analysis to examine the relationships between factors and adoption outcomes. Study 2 complements this with qualitative interviews to provide deeper insights and interpretations of the quantitative findings. Findings: Most hypotheses regarding the factors influencing BIS adoption were supported, highlighting their significance. However, three hypotheses were found to be statistically insignificant, prompting further investigation in Study 2 to elucidate the reasons behind these findings. Originality/value: This study contributes a holistic perspective on BIS adoption in commercial banks, considering organizational, technological, and environmental dimensions. It addresses a gap in the literature by offering comprehensive insights that contrast with previous research focused narrowly on specific user groups. The findings enhance understanding of technology-organization-environment dynamics and provide valuable insights for fostering long-term sustainability in BIS adoption strategies.

Gamification has emerged as a promising strategy to enhance engagement and learning outcomes in education. However, its adoption in developing countries faces persistent challenges. This study systematically reviews 43 research articles to identify key barriers to gamification adoption and provides new insights into their underlying causes. The findings highlight specific cultural misconceptions, such as the perception of gamification as mere entertainment rather than an educational tool, alongside language barriers and resistance to non-traditional teaching methods. Technological barriers, including limited access to digital devices, high costs, and low digital literacy, further hinder adoption. Institutional challenges, such as rigid curricula, insufficient teacher training, and a lack of supportive policies, exacerbate these issues. Unlike previous studies, this research not only categorizes these barriers but also provides a framework for addressing them. Specific policy recommendations include integrating gamification into national education strategies, subsidizing digital infrastructure, and designing teacher training programs focused on gamified pedagogy. By advocating for localized and context-sensitive gamification strategies, this study offers practical insights for educators, policymakers, and technology developers.

Purpose: The purpose of this study is to investigate offline retailers’ cryptocurrency adoption through the unified theory of acceptance and use of technology (UTAUT/2), technology acceptance model (TAM) and other related variables. Design/methodology/approach: A mixed-method (QUANT-Qual) was employed. The study employed a quantitative approach (partial least squares-structural equation modeling) for Study 1 and a qualitative focus group discussion for Study 2. The qualitative segment enhances the comprehension and interpretation of outcomes derived from the quantitative analysis. Findings: Study 1 identified six crucial factors in cryptocurrency adoption: trust, personal innovation, hedonic motivation, social influence, safety and a positive attitude. Perceived ease of use, price value and satisfaction were non-significant. Study 2 elaborates on the findings, and highlights the reasons for the insignificant factors. Research limitations/implications: This research contributes to theoretical knowledge by empirically testing established technology acceptance theories like UTAUT/2 and TAM in the context of retail cryptocurrency adoption. It introduces previously unexplored factors, such as personal innovativeness, hedonic motivation and safety/reliability, enriching the theoretical landscape. Practical implications: This study provides practical insights for cryptocurrency stakeholders, including government, regulators, consumers, businesses and the financial sector, regarding retailers' intentions to adopt cryptocurrencies in North Cyprus. Social implications: This study can enhance understanding of factors facilitating cryptocurrency integration into mainstream retail, potentially reshaping traditional finance. Economically, adoption can boost financial inclusion, offering efficient transaction methods. This transition may disrupt existing economic models, drive payment technology innovation and change consumer behavior toward digital assets. Originality/value: This study stands out by using a mixed-method approach to comprehensively examine cryptocurrency adoption by offline retailers, considering various factors and providing a holistic perspective, unlike previous research that often focused on specific user groups.

Purpose: This study investigates the determinants influencing continuous use intention to use Business Intelligence (BI) systems within commercial banks in Nigeria. It aims to enhance the understanding of how technological, organisational, and environmental aspects impact the sustained adoption of BI systems, providing insights for improving their long-term effectiveness in the banking sector. Design/methodology/approach: The study employs a partial least squares structural equation modelling (PLS-SEM) approach to analyse data collected from 346 respondents, including IT managers, business intelligence managers, and other relevant personnel from six major banks. The research framework integrates the Technology, Organisation, and Environment (TOE) framework and the Information Systems (IS) success model. Findings: Compatibility, top management support, competitive pressure (CMP), information quality, and system quality positively influence BI system use, while complexity negatively affects it. Regulatory support does not significantly moderate the relationship between top management support and CMP, emphasising internal and competitive factors in sustained BI adoption. Originality/value: By integrating the TOE framework and IS success model, this study highlights key factors influencing BI system use in Nigerian banks. It underscores the need for user-friendly, high-quality systems, strong internal management, and proactive competitive strategies to ensure sustained adoption and long-term success.

Purpose: This study investigates the strategic enablers of sustainable AI-driven transformation in Nigeria’s public sector. It aims to identify the key drivers and dependencies that can support not only digital modernization but also long-term institutional resilience, inclusive governance and improved service equity. Design/methodology/approach: A fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) framework was applied to evaluate 12 high-impact enablers of AI adoption. Data were gathered through expert surveys with digital transformation professionals in government agencies. This method facilitated the construction of a causal model highlighting the influence and dependence relationships among the enablers. Findings: The analysis identifies policy frameworks, digital infrastructure and leadership commitment as dominant causal drivers of AI adoption, while organizational culture, capacity building and data availability emerge as dependent outcomes. Strengthening these foundational enablers is essential for achieving a sustainable and scalable integration of AI into public services. The model provides a decision-support tool for prioritizing resource allocation in a way that ensures long-term impact, continuity and adaptability. Nonetheless, by concentrating solely on enabling factors, the study does not account for potential barriers or risks that may hinder AI implementation, an aspect that future investigations should explore to offer a more balanced and actionable perspective. Originality/value: This study contributes a novel, prescriptive framework that links AI strategy with sustainable public sector innovation in a developing country context. It advances the application of fuzzy DEMATEL in government transformation research and offers actionable guidance for building future-ready institutions capable of delivering equitable and enduring service improvements.