International Journal of Innovative Science and Technology Studies
The International Journal of Innovative Science and Technology Studies Journal is an international, peer-reviewed, and open-access scholarly journal devoted to publishing high-quality research that advances the frontiers of science, engineering, and technology. IJISTS provides a global platform for researchers, academicians, professionals, and innovators to share their latest findings, exchange ideas, and promote interdisciplinary collaboration. The journal aims to highlight innovative approaches, emerging trends, and practical applications that contribute to solving real-world problems through scientific and technological advancement. Committed to maintaining the highest standards of publication ethics, IJISTS ensures a rigorous double-blind peer-review process and timely publication of accepted manuscripts. The journal welcomes original research papers, review articles, and case studies that demonstrate novelty, technical excellence, and relevance to both academia and industry. With an international editorial board and a diverse readership, IJISTS strives to foster global research excellence and encourage innovation that supports sustainable development and technological progress.
The Impact of Digital Transformation on Municipal Service Quality: Evidence from Greater Amman Municipality
Digital transformation has become one of the most influential strategic initiatives adopted by public institutions to improve operational efficiency, enhance service delivery, and strengthen citizen engagement. Municipal governments, in particular, are increasingly investing in digital technologies to modernize administrative processes, facilitate electronic service delivery, and support data-driven decision-making. Despite these developments, many municipalities continue to face challenges related to technology adoption, organizational readiness, digital infrastructure, employee capabilities, and citizens' acceptance of electronic services. These challenges directly affect the quality, accessibility, and reliability of municipal services.This study examines the impact of digital transformation on municipal service quality within the context of the Greater Amman Municipality (GAM) in Jordan. The research investigates how digital transformation dimensions, including digital infrastructure, information systems integration, employee digital competencies, electronic service platforms, and institutional digital governance, contribute to improving service quality indicators such as efficiency, responsiveness, accessibility, transparency, reliability, and citizen satisfaction. The study adopts a quantitative research approach using structured questionnaires distributed among employees and service users of the Greater Amman Municipality. Statistical analysis is conducted using descriptive statistics, correlation analysis, and multiple regression techniques to evaluate the relationships between digital transformation initiatives and municipal service quality. The findings are expected to demonstrate that effective digital transformation significantly improves municipal service quality by reducing service processing time, increasing administrative efficiency, enhancing transparency, improving communication with citizens, and supporting evidence-based managerial decisions. Furthermore, the study highlights that successful digital transformation depends not only on technological investment but also on leadership commitment, organizational culture, employee training, cybersecurity readiness, and continuous innovation. The research concludes by proposing practical recommendations for strengthening digital governance frameworks, expanding smart municipal services, investing in digital competencies, and developing integrated digital strategies that support sustainable urban development and citizen-centered public service delivery. The study contributes to the growing body of knowledge on digital government and municipal administration by providing empirical evidence from one of the largest municipalities in the Middle East. It also offers practical insights for policymakers and municipal leaders seeking to accelerate digital transformation while maintaining high standards of public service quality, institutional effectiveness, and long-term urban sustainability.
Copyright (c) 2026 Metib Theeb Okleh Alsaroum (Author) https://creativecommons.org/licenses/by/4.0
The Impact of the Media in Promoting Performance in Government Institutions and Its Role in Enhancing Public Confidence
The media has become an essential component of modern governance, influencing public opinion, strengthening institutional accountability, and shaping citizens’ perceptions of government performance. Through its agenda-setting and framing functions, the media contributes to evaluating government actions, enhancing transparency, and facilitating communication between public institutions and society. At the same time, media coverage has the potential to reinforce or weaken public confidence depending on the manner in which governmental activities are presented and interpreted. This study examines the role of the media in promoting the performance of government institutions and its contribution to enhancing public confidence. Specifically, the research investigates the relationship between media portrayals of government institutions and citizens’ perceptions of institutional performance, evaluates the influence of media framing on public trust, and identifies the principal factors affecting media representations of government organizations. The study also explores communication strategies that may strengthen cooperation between government institutions and media organizations while improving institutional transparency and accountability. The study employed a quantitative research design based on a structured questionnaire administered to participants from government institutions in Jordan. Statistical techniques were used to examine the relationships among the study variables and to evaluate the proposed research hypotheses. The findings indicate that media communication plays a significant role in shaping public confidence, improving institutional accountability, and encouraging more effective government performance through greater transparency and public engagement. Furthermore, constructive government-media relations were found to contribute positively to citizens’ trust in public institutions. The study concludes that effective media communication represents a strategic instrument for improving government performance and strengthening institutional legitimacy. It recommends that government agencies adopt proactive communication strategies, enhance transparency, utilize digital media more effectively, and establish sustainable partnerships with media organizations to reinforce public confidence and support good governance.
Copyright (c) 2026 Bandar Fawwaz Nahar (Author) https://creativecommons.org/licenses/by/4.0
Strategic Risk Assessment Models for Anti-Money Laundering Compliance in Financial Institutions
Money laundering (ML) remains one of the most significant threats to the integrity, transparency, and stability of modern financial systems. As financial institutions continue to expand their digital services and cross-border operations, the complexity of financial crime has increased substantially, making conventional compliance approaches insufficient for managing emerging risks. Consequently, strategic risk assessment has become a fundamental component of Anti-Money Laundering (AML) compliance by enabling financial institutions to identify, evaluate, prioritize, and mitigate money laundering risks through a structured Risk-Based Approach (RBA). This study investigates the role of strategic risk assessment models in enhancing AML compliance within financial institutions and proposes a comprehensive framework that integrates enterprise risk management, governance principles, and continuous risk monitoring into organizational compliance strategies. A quantitative research methodology was adopted using a structured questionnaire distributed to professionals working in commercial banks, compliance departments, internal auditing, and risk management units. The collected data were analyzed using descriptive statistics, reliability analysis, Pearson correlation, and multiple regression analysis to examine the relationship between strategic risk assessment practices and AML compliance effectiveness. The findings reveal that strategic risk assessment significantly improves customer due diligence, transaction monitoring, regulatory compliance, internal control effectiveness, and institutional decision-making. Furthermore, organizations implementing comprehensive strategic risk assessment models demonstrate greater capability in identifying high-risk customers, allocating compliance resources efficiently, strengthening governance practices, and responding proactively to evolving financial crime threats. The study concludes that integrating strategic risk assessment into Enterprise Risk Management and organizational governance significantly enhances the effectiveness of Anti-Money Laundering programs while improving institutional resilience and long-term regulatory compliance. The proposed framework provides valuable theoretical and practical implications for financial institutions, regulators, and policymakers seeking to strengthen AML compliance through comprehensive strategic risk management practices.
Copyright (c) 2026 Abdulaziz Oudah Aloudah (Author) https://creativecommons.org/licenses/by/4.0
Artificial Intelligence–Driven Risk Modeling for Detecting Money Laundering and Terrorist Financing Networks
Corporate Governance Quality and Money Laundering Risk Management: The Moderating Role of Internal Audit Effectiveness
The increasing sophistication of financial crimes has intensified the need for stronger governance mechanisms capable of protecting financial institutions from money laundering risks. Among these mechanisms, corporate governance has emerged as a strategic framework that enhances accountability, transparency, risk oversight, and regulatory compliance. Nevertheless, governance practices alone may not be sufficient to ensure effective Anti-Money Laundering (AML) risk management unless they are supported by an independent and competent internal audit function. This study investigates the relationship between corporate governance quality and money laundering risk management while examining the moderating role of internal audit effectiveness. A quantitative research design was adopted using a structured questionnaire administered to professionals working in governance, internal audit, compliance, and risk management within financial institutions. Data were analyzed using descriptive statistics, correlation analysis, and multiple regression techniques to evaluate the proposed relationships. The findings are expected to demonstrate that high-quality corporate governance significantly strengthens money laundering risk management practices, while effective internal auditing enhances this relationship by improving internal controls, monitoring compliance, and supporting timely risk identification. The study contributes to the growing literature on financial governance by providing empirical evidence that emphasizes the complementary roles of governance quality and internal audit effectiveness in strengthening institutional resilience against money laundering risks and improving regulatory compliance.
Corporate Governance; Financial Compliance;
Copyright (c) 2026 Firas Khaled Hamed Tanash (Author) https://creativecommons.org/licenses/by/4.0
Assessing the Effectiveness of Accounting Information Systems in Supporting Anti-Money Laundering Programs
Accounting Information Systems (AIS) have become an essential component of modern financial management by enhancing the accuracy, transparency, and reliability of financial information. In recent years, financial institutions and regulatory authorities have increasingly relied on AIS to strengthen Anti-Money Laundering (AML) programs through automated transaction monitoring, risk assessment, suspicious activity detection, and regulatory reporting. Despite continuous technological advancements, many organizations continue to face challenges in integrating AIS capabilities with AML compliance requirements, particularly regarding data quality, real-time monitoring, and regulatory adaptation. This study aims to assess the effectiveness of Accounting Information Systems in supporting Anti-Money Laundering programs by examining the extent to which AIS contributes to improving transaction monitoring, regulatory compliance, risk management, and operational efficiency. A quantitative research approach was adopted using a structured questionnaire distributed to accounting professionals, internal auditors, compliance officers, financial managers, and AML specialists working in financial institutions. The collected data were analyzed using descriptive and inferential statistical techniques to evaluate the relationships between AIS effectiveness and AML performance indicators. The findings are expected to demonstrate that organizations implementing integrated Accounting Information Systems supported by advanced analytical capabilities, automated compliance controls, and real-time financial reporting achieve higher levels of money laundering detection, regulatory compliance, operational efficiency, and organizational transparency. The study concludes that strengthening AIS infrastructure, enhancing employee competencies, and integrating emerging digital technologies into accounting processes significantly improve the effectiveness of Anti-Money Laundering programs while supporting sustainable financial governance and regulatory compliance within financial institutions
Healthcare Supply Chain Management in Jordan: Challenges, Practices, and Strategic Improvements
Healthcare supply chain management has become increasingly important as healthcare organizations strive to deliver high-quality patient care while controlling operational costs. This study investigates healthcare supply chain management practices in Jordan, with particular emphasis on inventory management, procurement strategies, logistics, supplier relationships, and transportation processes. A mixed-methods research approach was adopted, combining an extensive review of the relevant literature with quantitative data collected from healthcare professionals through structured questionnaires. The findings indicate that effective supplier evaluation, inventory management systems, logistics partnerships, and quality assurance practices play a significant role in improving healthcare supply chain performance. The study also identifies several challenges, including demand forecasting, procurement risks, inventory costs, and technology adoption. Based on the findings, strategic recommendations are proposed to strengthen supply chain resilience, improve operational efficiency, enhance patient safety, and support sustainable decision-making in Jordanian healthcare organizations.
Copyright (c) 2026 Hasan Khaled Hasan Awwad (Author) https://creativecommons.org/licenses/by/4.0
Evaluating the Effectiveness of Risk-Based Procurement Management in the Jordanian Public Sector
Risk-based procurement management has become an essential approach for strengthening governance, enhancing transparency, and improving procurement performance within the public sector. Government procurement in Jordan represents a significant component of national public expenditure, making effective risk management critical for ensuring accountability, operational efficiency, and service quality. This study evaluates the effectiveness of risk-based procurement management practices within Jordanian public sector organizations and examines their influence on procurement quality, regulatory compliance, and organizational performance. The research investigates current procurement risk identification techniques, mitigation strategies, governance mechanisms, and quality assurance procedures while assessing their contribution to successful procurement outcomes. A quantitative research approach was adopted using structured questionnaires distributed among procurement professionals working within Jordanian governmental institutions. Descriptive and inferential statistical analyses were employed to evaluate the relationships between procurement risk management practices and procurement performance indicators. The findings indicate that organizations implementing structured risk assessment, supplier evaluation, regulatory compliance, and integrated quality management practices achieve higher procurement efficiency, improved transparency, stronger accountability, and reduced operational risks. The study concludes that adopting comprehensive risk-based procurement frameworks supported by digital procurement systems, continuous staff training, and institutional governance significantly enhances procurement quality and strengthens public sector performance. These findings provide practical recommendations for policymakers and procurement managers seeking to improve procurement governance and sustainable public sector development in Jordan.
Investigating Ethical Leadership Challenges When Implementing Artificial Intelligence in the Pharmaceutical Research and Manufacturing
The rapid adoption of Artificial Intelligence (AI) in pharmaceutical research and manufacturing has transformed drug discovery, clinical development, quality control, and operational efficiency. However, the integration of AI technologies introduces significant ethical leadership challenges related to transparency, accountability, stakeholder trust, organizational culture, and regulatory compliance. This study investigates the ethical leadership challenges associated with implementing AI in pharmaceutical organizations and examines how ethical decision-making frameworks influence governance practices and organizational outcomes. A quantitative cross-sectional survey design was employed, collecting data from 120 professionals working in pharmaceutical organizations engaged in AI implementation. The findings indicate that pharmaceutical leaders recognize the importance of ethical decision-making frameworks; however, substantial variations exist in the extent to which these frameworks are systematically applied. The results further reveal that AI implementation significantly affects stakeholder trust, organizational culture, and professional norms, emphasizing the need for proactive governance mechanisms and ethical oversight. Regression analysis demonstrates that ethical leadership practices are significant predictors of effective AI implementation and governance outcomes. The study concludes that while pharmaceutical organizations are increasingly aware of ethical AI considerations, additional efforts are required to operationalize ethical principles, strengthen leadership competencies, and establish comprehensive governance structures. The findings contribute to the growing body of knowledge on ethical AI governance and provide practical recommendations for pharmaceutical leaders, policymakers, and researchers seeking to ensure responsible AI adoption in highly regulated environments.
Copyright (c) 2026 Alia Atef Othman Al-Othman (Author) https://creativecommons.org/licenses/by/4.0
The Role of Collaborative Teaching as a Human Resource Development Practice in Enhancing Student Learning Outcomes
The practice of collaborative teaching has gained great significance as a human resource development practice in the higher education but there is little empirical evidence on the impact of collaborative teaching on student learning outcomes. The problem of collaborative teaching and the effect it has on student achievement is a burning one since schools are seeking to optimize educational performance by developing strategic faculty development initiatives. The paper has addressed the ways in which collaborative teaching must be employed as a human resource development methodology of enhancing student learning in tertiary institutions of learning. The collaborative teaching strategy that should be embraced by the institutions that intend to achieve their utmost potential of student learning should not just be centered on the utilization of the teaching strategy but also its effective incorporation into the desirable organizational conditions. Schools and colleges need to establish cultures of collaboration through leadership and policy support, schedule redesign to support collaboration, recognition and rewards systems that reward collaborative work, holistic professional development, and professional learning communities that place a premium on collaborative practice. Longitudinal designs, discipline variations, test individual collaborative models, mediate by mechanisms and use more extensive student perspectives should be used in future research.
Copyright (c) 2026 Omar Mahmoud Salih Alaqeel (Author) https://creativecommons.org/licenses/by/4.0
Artificial Intelligence in Healthcare: Revolutionizing Diagnostics, Treatment, and Patient Care
Artificial intelligence (AI) is rapidly transforming healthcare by augmenting the accuracy, efficiency, and personalization of diagnostics, treatment planning, and patient management. Leveraging techniques such as deep learning, natural language processing, and reinforcement learning, AI‑driven systems can detect patterns in complex, multimodal data from electronic health records and genomic sequences to radiological images and continuous real‑time sensor streams that often elude human clinicians. Recent breakthroughs have improved the early detection of diseases like diabetic retinopathy and various cancers, optimized therapeutic regimens through predictive analytics, and enabled proactive, home‑based monitoring that reduces hospital readmissions. Nonetheless, the integration of AI into clinical workflows raises challenges surrounding algorithmic fairness, data privacy, model interpretability, and regulatory compliance. This paper provides a comprehensive examination of current AI applications in healthcare, evaluates empirical evidence of their clinical impact, and proposes a methodological framework for future research and deployment. By synthesizing the latest interdisciplinary literature, presenting a mixed‑methods evaluation of an AI‑enabled diagnostic support tool, and discussing implications for stakeholders, the study underscores AI’s potential to revolutionize patient care while outlining critical considerations to ensure ethical and equitable implementation.
Copyright (c) 2025 Michael Carter (Author) https://creativecommons.org/licenses/by/4.0
The Rise of Edge Computing Impact on Data Processing and IoT Systems
Edge computing has rapidly evolved from a conceptual extension of cloud services into a pivotal architectural paradigm that relocates data storage, analytics, and decision‑making closer to the devices that generate information. By minimizing the physical and logical distance between data sources and compute resources, edge architectures promise lower latency, bandwidth efficiency, enhanced privacy, and improved resilience capabilities that are crucial for the explosive growth of the Internet of Things (IoT). This paper investigates how edge computing is reshaping data‑processing pipelines and influencing the design and operation of IoT systems. We combine a systematic review of recent scholarship with an empirical mixed‑methods study: (a) quantitative benchmarking of edge‑versus‑cloud processing on a smart‑factory testbed and (b) qualitative interviews with senior engineers and product managers across manufacturing, healthcare, and smart‑city domains. Our findings show that migrating analytics workloads to the edge reduces end‑to‑end latency by an average of 63 % and cuts upstream bandwidth consumption by 48 %, while maintaining comparable inference accuracy for real‑time anomaly detection tasks. At the same time, practitioners report challenges related to heterogeneous hardware, distributed orchestration, and the widening security perimeter.
Copyright (c) 2025 Elena Petrova (Author) https://creativecommons.org/licenses/by/4.0
Cloud Computing in Daily Life: Benefits, Challenges, and Uses
Cloud computing has evolved from an enterprise technology into an everyday utility that underpins routine activities such as streaming music during a commute, backing up family photographs, balancing household budgets, and collaborating on school projects across continents. This study examines how these ubiquitous services shape daily life by investigating the benefits ordinary users perceive, the technical, economic, and social obstacles they encounter, and the ways in which key domains communication, entertainment, health, finance, education, and smart‑home environments exploit cloud capabilities. Employing a mixed‑methods approach, we integrated a comprehensive literature synthesis with a user survey (N = 412), four semi‑structured focus‑group sessions, and analysis of six months of anonymized usage logs from a mid‑sized cloud‑storage provider. Findings reveal that convenience, device agnosticism, and low upfront cost are the foremost drivers of adoption, whereas data‑privacy anxiety, unpredictable expenses, and service‑availability issues remain significant deterrents. Demographic variables including age, digital literacy, and urban–rural residence modulate both perceived advantages and concerns. These insights contribute to ongoing debates on platform dependency, digital sovereignty, and responsible innovation, and they inform a set of user‑centric design guidelines and policy recommendations aimed at ensuring that cloud technologies continue to enrich, rather than diminish, everyday quality of life.
Copyright (c) 2025 Carlos Mendes, Nora Ibraheem (Author) https://creativecommons.org/licenses/by/4.0
Cyberbullying and Online Safety Role of IT Tools and Awareness
Cyberbullying has emerged as one of the most pervasive threats to psychological well-being in digitally connected societies, with victims often experiencing increased risks of anxiety, depression, and self-harm. While legislative frameworks and platform-level moderation tools have evolved, the persistence of online harassment suggests that policy alone is insufficient to address the problem. This study investigates how a combination of information-technology tools and awareness programs can mitigate cyberbullying among adolescents aged 13 to 18. A mixed-methods design was employed, incorporating a cross-sectional survey of 512 secondary-school students across three provinces, log-file analytics from an AI-enabled monitoring platform deployed in two pilot schools for 12 weeks, and focus-group interviews with teachers, parents, and digital safety experts. Quantitative analysis revealed that schools utilizing real-time sentiment-analysis dashboards and keyword-blocking filters experienced a 38% decline in reported cyberbullying incidents compared to control schools. Thematic analysis of qualitative data identified three critical success factors: sustained digital-citizenship training, transparency in the use of monitoring technologies, and peer-led reporting channels that preserve anonymity. The findings underscore that IT tools are most effective when integrated into a broader safety ecosystem that prioritizes awareness, agency, and community engagement. This study offers a practical framework for educators, policymakers, and technology developers seeking to create safer online environments for youth.
Copyright (c) 2025 Sophie Dubois, Lukas Novak (Author) https://creativecommons.org/licenses/by/4.0
The Role of IT in Online Education and Virtual Classrooms
Information technology (IT) has moved from the periphery to the very core of contemporary education, enabling learners and educators to interact across temporal and geographic boundaries. This paper investigates the role of IT in online education and virtual classrooms through a mixed‑methods study that combines a systematic literature review with empirical data from 428 undergraduate and graduate students and 52 faculty members at five European universities. Quantitative survey results demonstrate that learning‐management systems (LMSs), video‑conferencing tools, cloud collaboration suites, and artificial‑intelligence‑driven learning analytics significantly enhance perceived learner engagement, flexibility, and self‑regulated learning. Qualitative thematic analysis of semi‑structured interviews enriches these findings, revealing three cross‑cutting themes. The democratization of access to higher education. The redefinition of teacher presence and learner autonomy. Persistent challenges of digital equity, data privacy, and cognitive overload. Together, the findings suggest that effective integration of IT in virtual classrooms can narrow but also risk widening achievement gaps, depending on institutional support and learners’ digital capital. The study contributes an evidence‑based framework for aligning pedagogical objectives with appropriate digital tools and offers actionable recommendations for policy makers, instructional designers, and platform developers. Ultimately, strategic deployment of IT can transform virtual classrooms from emergency substitutes into sustainable, inclusive learning ecosystems that prepare students for an increasingly digital society.
Copyright (c) 2025 Hirat Ranak, Ayesha Rahman (Author) https://creativecommons.org/licenses/by/4.0
Human–AI Collaboration in Decision Making Balancing Automation and Ethical Responsibility
The integration of artificial intelligence (AI) into decision-making processes has transformed organizational operations, policy development, and strategic planning across multiple domains. While AI offers the potential to enhance efficiency, accuracy, and scalability, it also raises critical ethical and accountability challenges. This paper explores the dynamics of human–AI collaboration in decision making, emphasizing the need to balance automated insights with human judgment and ethical responsibility. Through a comprehensive literature review, case study analysis, and examination of contemporary AI applications, the study identifies key factors influencing effective collaboration, including transparency, interpretability, trust, and accountability. The findings indicate that optimal decision-making outcomes are achieved when AI serves as an assistive tool rather than a fully autonomous agent, allowing humans to exercise ethical oversight, contextual understanding, and strategic judgment. Recommendations for designing human-centered AI systems and governance frameworks are discussed to ensure responsible and effective integration of AI in decision-making contexts.
Copyright (c) 2025 Faisal Al-Qahtani (Author) https://creativecommons.org/licenses/by/4.0
Advancing Education through Immersive Technologies: The Role of Virtual and Augmented Reality in Learning Environments
The rapid advancement of immersive technologies, particularly virtual reality (VR) and augmented reality (AR), is transforming contemporary educational practices. These technologies enable interactive, engaging, and experiential learning environments that enhance student motivation, knowledge retention, and skill development. This paper investigates the integration of VR and AR in various educational settings, including K-12 classrooms, higher education, and professional training programs. By reviewing existing literature, analyzing case studies, and examining implementation frameworks, the study explores how immersive technologies can address learning challenges, foster personalized education, and promote collaborative experiences. The findings indicate that VR and AR have significant potential to enhance cognitive and experiential learning outcomes while overcoming limitations of traditional instructional methods. However, challenges such as cost, accessibility, technological literacy, and content development remain critical factors for widespread adoption. The paper concludes by proposing strategies for effective integration, highlighting future research directions, and emphasizing the importance of pedagogically informed deployment of immersive technologies in education.
Copyright (c) 2025 Sara Khan, Nimal Perera (Author) https://creativecommons.org/licenses/by/4.0
Green Computing and Cloud Optimization Reducing Energy Consumption in Large-Scale Data Centers
The escalating energy consumption of large-scale data centers, driven by the proliferation of cloud computing services, has become a significant environmental concern. Green computing and cloud optimization strategies have emerged as pivotal solutions to mitigate this issue. This paper explores the integration of green computing principles with cloud optimization techniques to reduce energy consumption in data centers. By examining current practices, technological advancements, and case studies, the study highlights the effectiveness of energy-efficient hardware, renewable energy integration, and intelligent resource management in achieving sustainable data center operations. The findings underscore the importance of adopting green computing frameworks to not only enhance environmental sustainability but also improve operational efficiency and reduce operational costs. The paper concludes with recommendations for future research and implementation strategies to further advance energy-efficient practices in data centers.
Copyright (c) 2025 Arjun Mehta, Priya Sharma (Author) https://creativecommons.org/licenses/by/4.0
Smart Cities and IoT Integration: Enhancing Urban Efficiency through Data-Driven Technologies
The integration of the Internet of Things (IoT) within smart city frameworks has revolutionized the management of urban environments, driving enhanced efficiency, sustainability, and quality of life. As cities continue to face challenges such as rapid population growth, resource depletion, and environmental degradation, IoT technologies provide critical tools for real-time data collection, intelligent decision-making, and automated operations. This paper explores the role of IoT in enabling smart cities through interconnected systems spanning transportation, energy management, healthcare, and public safety. A cross-sectoral analysis highlights how IoT-driven innovations optimize resource allocation, improve service delivery, and foster sustainable urban ecosystems. Methodologically, the study adopts a qualitative and analytical approach by synthesizing existing literature, case studies, and urban innovation frameworks to evaluate the impacts of IoT on urban efficiency. The findings reveal that data-driven technologies not only reduce operational costs but also empower citizens through participatory governance and digital inclusivity. However, challenges such as cybersecurity risks, interoperability issues, and ethical considerations remain crucial barriers. This study concludes by emphasizing the need for robust data governance models, sustainable policy frameworks, and continued technological evolution to ensure IoT’s full potential in shaping smarter, more livable cities of the future.
Copyright (c) 2025 Leila Mansour, Karim El-Sayed (Author) https://creativecommons.org/licenses/by/4.0
Leveraging Artificial Intelligence for Sustainable Development: A Cross-Industry Analysis of Innovation and Impact
Artificial Intelligence (AI) has emerged as a transformative force across industries, offering innovative pathways to achieve the goals of sustainable development. By integrating intelligent systems into production, management, and service delivery processes, AI enhances resource efficiency, reduces waste, and promotes environmentally responsible growth. This study presents a cross-industry analysis of how AI technologies are driving sustainable development in sectors such as energy, agriculture, healthcare, manufacturing, and transportation. Using a mixed-methods approach that combines literature synthesis and comparative analysis, the paper examines real-world implementations of AI-driven solutions aligned with the United Nations Sustainable Development Goals (SDGs). The results indicate that AI contributes significantly to energy optimization, precision agriculture, and predictive maintenance, while also enabling more equitable access to health and education. However, the study also highlights emerging challenges, including algorithmic bias, data privacy concerns, and unequal access to AI technologies across regions. The discussion underscores the importance of developing ethical AI frameworks, cross-sector collaborations, and policies that foster inclusivity and transparency. Ultimately, this research emphasizes that AI, when responsibly designed and deployed, has the potential to be a catalyst for global sustainability and innovation.
Copyright (c) 2025 Lina Al-Husseini, Omar Al-Khalili (Author) https://creativecommons.org/licenses/by/4.0