Digital disruption has been the most used and discussed topic in the last 6 years and has been a trending topic on the Google trends, only second to the remote working searched on Google search engines. Most business continuities have been put at risk due to significant reasons like COVID-19, Social distancing norms, and technology disruption to name a few. Businesses especially in UAE higher education sector need to take a holistic view that considers potential threats to an organization and look at providing a resilience framework to respond effectively to safeguard the key stakeholder’s interests. The research study looks at combining the business continuity maturity model and the digital disruption models and suggests a framework that business managers and owners can consider mitigating the risks and enhancing the resilience of their organization for the future. The organization might be able to enhance its brand value and look at creating more value in its services. This study can help managers and top management look at the factors that can improve performance after the disruption. The participants can be trained to work during disruption to mitigate the risk or crisis, reducing major losses in business.

This study investigates the implications of social engineering attacks on mobile device security in the UAE, situating these threats within broader socioeconomic challenges. It employs a mixed methodology to understand both quantitative patterns and qualitative experiences of mobile device users across the seven emirates. The study combines large-scale survey data from 1,247 respondents with 45 in-depth qualitative interviews conducted between November 2024 and February 2025 to examine mobile-based social engineering vulnerabilities in the UAE. It examines demographic factors, cultural influences, technology adoption patterns, and vulnerability to various social engineering attack vectors, including SMS phishing, voice phishing, and mobile application-based deception. The results indicate that social engineering attacks are widespread among UAE mobile users. Age, educational background, and cultural factors, such as trust in authority and collectivist communication trends, influence vulnerability. Qualitative analysis outlines technological empowerment, cultural trust patterns, language barriers in security messaging, and the generational digital divide, as well as inadequate security awareness programs, as critical themes. The results also prove that social engineering attacks targeting mobile devices in the UAE exploit both universal human psychology and culture-specific trust patterns, thus deepening existing socioeconomic challenges related to digital inequality and cyber risk exposure. The study further reemphasizes the need for policymakers to develop culturally adapted security education programs that address the intersection of mobile security vulnerabilities and socioeconomic challenges to build a more resilient digital environment.

Contemporary organizations increasingly leverage artificial intelligence technologies to revolutionize human resource management practices, fundamentally altering how companies approach workforce optimization. This empirical investigation examines critical determinants and consequences of implementing AI-powered talent management systems across organizational contexts. The research specifically analyzes how three primary dimensions—technological capabilities within HR functions, data governance and ethical frameworks, and organizational preparedness coupled with cultural alignment—collectively determine the success of AI-integrated talent strategies. Additionally, this study explores the mechanisms through which these strategic implementations influence workforce perceptions and confidence in algorithmically-driven HR systems. Grounded in Strategic Human Resource Management (SHRM), Resource-Based View (RBV), Technology Acceptance Model (TAM), and socio-technical systems theory, the investigation employs qualitative methodology involving in-depth interviews with fifteen HR practitioners representing varied industry sectors across the United Arab Emirates. Drawing upon a conceptual model validated through four testable propositions, the theoretical framework underscores the complex, multifaceted character of AI integration in human capital management, encompassing technological infrastructure, organizational dynamics, and ethical imperatives. Empirical evidence demonstrates that effective deployment of AI in talent management necessitates comprehensive technological infrastructure alongside rigorous data stewardship, organizational change readiness, and transparent stakeholder communication to cultivate workforce confidence. The study also addresses critical risks including algorithmic bias, employee resistance, privacy concerns, and legal implications that organizations must navigate. This research contributes practical guidance for HR practitioners and organizational decision-makers pursuing implementation or enhancement of AI-driven talent management initiatives, while advancing scholarly discourse on the intersection of artificial intelligence and strategic human resource management.

The aim of this study is to explore the concept of green accounting and its impact on the sustainability of companies. Green accounting is an approach that seeks to integrate environmental considerations into traditional accounting practices. The research study uses mixed methodology to get consensus on the conceptual model and hypotheses formulated. By considering the environmental impacts of a company’s operations, green accounting provides a more accurate picture of a company’s financial performance. This paper argues that companies that adopt green accounting practices are more likely to operate sustainably, as they are able to identify and address environmental risks and opportunities more effectively. Green accounting is essential for companies seeking to operate sustainably and recommends that more companies adopt this approach to ensure long-term viability and success. The study advances methodologies, encourage interdisciplinary collaboration, guide practical corporate sustainability efforts, influence financial reporting standards, raise stakeholder awareness, and potentially shape policies to foster a more sustainable business environment. The study contributes to the topic area to incorporate environmental costs and benefits into financial reporting to raise funds legitimately from the environment disaster defaulters.