Journal of Emerging Technology and Digital Transformation

The Convergence of AI and Blockchain in Modern Healthcare Systems: A Secure Framework for Electronic Health Records

Misbah Akram — 2026-06-09

The healthcare industry is undergoing a digital transformation driven by the increasing adoption of Artificial Intelligence (AI) and blockchain technologies. Electronic Health Records (EHRs) have become essential for managing patient information; however, concerns regarding data security, privacy, interoperability, and unauthorized access remain significant challenges. Artificial Intelligence enables advanced analytics, disease prediction, clinical decision support, and personalized treatment recommendations, while blockchain offers decentralized, tamper-resistant, and transparent data management capabilities. This study explores the convergence of AI and blockchain in modern healthcare systems and proposes a secure framework for Electronic Health Records. The framework integrates blockchain-based distributed ledgers with AI-powered analytical modules to ensure secure storage, controlled data sharing, and intelligent healthcare services. The proposed model enhances patient privacy, improves data integrity, facilitates interoperability among healthcare providers, and supports real-time medical decision-making. Furthermore, the article discusses implementation challenges, security considerations, and future research opportunities. The findings suggest that combining AI and blockchain technologies can significantly improve healthcare efficiency, trustworthiness, and resilience in the era of digital medicine.

Governing the Quantum Frontier: Regulatory Challenges and Policy Frameworks for Responsible Quantum Computing

Ayesha Rehman — 2026-06-09

Quantum computing is rapidly emerging as a transformative technological paradigm with the potential to disrupt cryptography, optimization, material science, and artificial intelligence. However, its dual-use nature introduces profound regulatory, ethical, and geopolitical challenges. This paper explores the governance landscape of quantum computing, emphasizing the need for anticipatory policy frameworks, international coordination, and responsible innovation mechanisms. It highlights risks related to cybersecurity, algorithmic inequality, and technological monopolization. The study proposes a multi-layered regulatory model integrating national strategies, global treaties, and industry self-regulation to ensure equitable and secure quantum development

Architecting the Post-Pandemic Enterprise: A Dynamic Capabilities Perspective on Digital Leadership and Business Model Innovation

Muhammad Usman Raza — 2026-06-09

The COVID-19 pandemic fundamentally transformed organizational structures, operational processes, and strategic priorities across industries worldwide. Enterprises were compelled to rapidly adopt digital technologies, redesign business models, and strengthen organizational resilience to survive unprecedented disruptions. This study explores the post-pandemic enterprise through the lens of Dynamic Capabilities Theory, emphasizing the critical role of digital leadership in enabling business model innovation. The paper examines how organizations can sense emerging opportunities, seize technological advancements, and transform internal capabilities to sustain competitive advantage in volatile environments. Digital leadership is identified as a key driver of organizational agility, fostering innovation, technological adaptation, and strategic renewal. Furthermore, the research highlights the relationship between digital transformation initiatives and innovative business models that enhance customer value creation, operational efficiency, and long-term sustainability. The study contributes to the growing body of literature on post-pandemic organizational transformation by proposing a conceptual framework linking dynamic capabilities, digital leadership, and business model innovation. The findings provide valuable insights for managers, policymakers, and researchers seeking to develop resilient and future-ready enterprises in the digital economy.

Socio-Technical Dynamics of Smart Agriculture: An Interdisciplinary Analysis of IoT Adoption and Environmental Sustainability in Emerging Economies

Sarah Iqbal — 2026-06-09

Smart agriculture, driven by the Internet of Things (IoT), is reshaping agricultural productivity, resource efficiency, and environmental sustainability in emerging economies. This study examines the socio-technical dynamics influencing IoT adoption in agriculture, focusing on technological readiness, institutional support, farmer literacy, infrastructure constraints, and environmental outcomes. It highlights how IoT-enabled systems—such as precision irrigation, sensor-based soil monitoring, and automated crop management—can reduce water usage, improve yield efficiency, and mitigate climate risks. However, challenges such as digital inequality, high implementation costs, and limited technical expertise restrict large-scale adoption. The paper proposes an integrated socio-technical framework that aligns policy, technology, and human capacity building to ensure sustainable agricultural transformation in developing regions.

The Automated Workplace and the Widening Digital Divide: Socio-Economic Impacts of Robotics and GenAI on the Future of Labor

Ahmed Raza — 2026-06-09

The rapid integration of robotics and Generative Artificial Intelligence (GenAI) into modern workplaces is fundamentally reshaping global labor markets. While automation enhances productivity, efficiency, and innovation, it simultaneously intensifies socio-economic inequalities by displacing routine jobs and creating a widening digital divide between skilled and unskilled workers. Developing countries such as Pakistan face unique challenges due to limited digital infrastructure, uneven access to education, and slow technological adoption. This article explores the socio-economic impacts of automated workplaces, focusing on employment displacement, skill transformation, income inequality, and digital exclusion. It further examines how robotics and GenAI reshape labor demand and contribute to structural unemployment in vulnerable sectors. The study emphasizes the urgent need for inclusive digital policies, reskilling initiatives, and equitable access to emerging technologies to ensure balanced socio-economic development in the future of work.