Streamlined Communication Research Articles

Research on Evaluation of Hotel Digitization Effect Assisted by Extreme Learning Machine in Artificial Intelligence Environment

Hotels streamline operations, provide more personalized service, streamline communication, automate procedures, and gather feedback for ongoing development using modern digital technologies like customer care chatbots, mobile guest applications, and property management systems. Batch, sequential, and incremental learning all make heavy use of the Extreme Learning Machine (ELM) because of its efficient and rapid learning rate, rapid convergence, strong generalizability, and simplicity of implementation. By automating repetitive tasks, Artificial Intelligence (AI) improves the hospitality sector’s efficiency and quality on service it provides to customers and employees. Using AI-driven automated systems, hotels may improve inventory management, track and manage energy use, and simplify cleaning schedules. The challenging characteristics of smart flood detection and alert systems are that they lack expertise, streamline operations and provide personalized guest services. Hence, in the proposed method, the Artificial Intelligence Environment enabled Wireless Sensor Network (AIE-WSN), which integrates a hotel digitization effect in an ELM. In addition, case studies and expert interviews provide practical insights into how hotels have used and benefited from financial management systems driven by AI. The research shows that hotels may greatly benefit from AI tools, including personalized pricing strategies, spending monitoring systems, fraud detection algorithms, and predictive analytics when making financial decisions through WSN. The hotel industry is undergoing digitalization, adopting AI-WSN solutions to track products’ provenance and monitor their history, among the many benefits of the proposed approach. It can help with supply chain management and adopting more efficient practices.

The Role of Information Technology and Trust Culture in Knowledge Transfer to Local Employees: A Systematic Literature Review

Knowledge transfer is a crucial process for foreign construction companies operating in diverse cultural and operational environments. Effective knowledge transfer to local employees enhances productivity, innovation, and long-term project success. This study explores the role of Information Technology (IT) and Trust Culture in facilitating knowledge transfer to local employees through a Systematic Literature Review (SLR) approach. Relevant studies from reputable databases (e.g., Scopus, Web of Science, and ScienceDirect) were analyzed systematically. Findings reveal that IT plays a significant role in streamlining communication, documentation, and knowledge sharing, while trust culture fosters collaboration and reduces resistance to knowledge absorption. The interplay between IT and trust culture creates an environment conducive to seamless knowledge transfer. This study contributes to the understanding of how organizations can optimize IT infrastructure and build trust culture to enhance knowledge-sharing processes. Future research directions and practical recommendations are also discussed. Keywords: Knowledge Transfer, Information Technology, Trust Culture, Local Employees, Systematic Literature Review, Foreign Construction Companies

Improving Patient Satisfaction in Dental Practices through Interdisciplinary

Background: The provision of high-quality dental care significantly impacts patient satisfaction, particularly among the elderly population, who often experience complex oral health challenges. This study explores the role of interdisciplinary collaboration between nursing staff and administrative teams in dental practices as a means to improve patient satisfaction. Methods: A systematic approach was employed to assess patient satisfaction levels of nursing and administrative personnel. The results revealed a positive correlation between effective collaboration and increased patient satisfaction, highlighting that streamlined communication and coordinated care significantly improved patient experiences. Additionally, staff reported greater confidence and efficiency in addressing patient needs when working collaboratively. Results: The findings suggest that fostering an interprofessional environment not only enhances patient outcomes but also promotes job satisfaction among healthcare providers. Conclusions: In conclusion, integrating collaborative practices in dental care settings is essential for improving patient satisfaction and overall care quality. Future efforts should focus on developing structured interprofessional education programs and collaborative frameworks that enhance teamwork between nursing and administrative staff within dental practices

Improving Patient-Centered Care through Process Optimization in Medical Clinics: A Review

Objective: This review explores the role of process optimization in enhancing patient-centered care in medical clinics. By analyzing strategies such as Lean Six Sigma, digital tools, and workflow redesign, it examines how these interventions improve patient satisfaction, streamline communication, and reduce inefficiencies in care delivery. Methods: A systematic search of PubMed, Scopus, and Web of Science was conducted, focusing on studies published between 2016 and 2024. Inclusion criteria encompassed peer-reviewed articles and case studies that evaluated the impact of process optimization strategies on patient-centered outcomes in medical clinics. Data synthesis followed PRISMA guidelines. Results: The review included 32 studies across various clinical settings. Key findings demonstrated that process optimization significantly improved patient satisfaction by reducing waiting times and enhancing communication. Digital health technologies facilitated more seamless care coordination, while Lean methodologies addressed inefficiencies in patient flow. Common barriers to implementation included staff resistance, resource constraints, and technological challenges. Conclusion: Process optimization is essential for advancing patient-centered care in medical clinics. While challenges persist, the benefits of these strategies are substantial, highlighting their potential for broader adoption. Future research should focus on addressing implementation barriers and evaluating the long-term sustainability of these interventions.

Advancing real-time decision-making frameworks using interactive dashboards for crisis and emergency management

Effective crisis and emergency management heavily relies on timely and accurate decision-making to mitigate impacts and ensure public safety. Traditional decision-making processes often struggle with the rapid flow of information and the need for real-time responses. This paper explores the potential of interactive dashboards in advancing real-time decision-making frameworks, emphasizing their role in crisis and emergency management. Interactive dashboards, powered by advanced data analytics, provide a centralized platform for visualizing complex data streams, enabling decision-makers to quickly assess critical situations. These dashboards integrate real-time data from various sources, including social media, sensor networks, and emergency response systems, offering a comprehensive view of ongoing incidents. The study highlights the benefits of interactive dashboards in enhancing situational awareness, improving resource allocation, and streamlining communication during emergencies. Through intuitive visualizations, decision-makers can rapidly identify hotspots, track resource deployment, and evaluate the effectiveness of response strategies. Furthermore, the integration of predictive analytics within these dashboards allows for proactive decision-making, anticipating potential developments and facilitating preventative measures. The paper also examines key challenges in implementing interactive dashboards, such as data integration complexities, the need for real-time data processing, and user adaptability. It discusses strategies for overcoming these challenges, including the use of cloud computing, machine learning algorithms, and scalable data architectures. Case studies from disaster response operations demonstrate the practical applications and impact of interactive dashboards, showing how they can significantly improve decision-making speed and accuracy. In conclusion, interactive dashboards represent a powerful tool for advancing real-time decision-making in crisis and emergency management. By consolidating diverse data sources and enabling dynamic, actionable insights, they support more effective responses to crises, reduce risks, and save lives. This paper advocates for the broader adoption of interactive dashboard technologies to enhance crisis preparedness and response frameworks.. Keywords: Real-Time Decision-Making, Interactive Dashboards, Crisis Management, Emergency Response, Situational Awareness, Predictive Analytics, Data Integration, Decision Support Systems, Resource Allocation, Cloud Computing.

Optimizing Technology-Based Project Team Organization: Identifying Team Development Strategies and Techniques

Technology has fundamentally transformed the way organizations manage projects, connect diverse teams, and foster collaboration. Despite these advancements, organizations still face significant challenges in optimizing the structure and functionality of technology-based project teams. The dynamic nature of modern projects, coupled with the complexities of globalized team structures, demands innovative approaches to team development and management. This article delves into strategies and techniques that leverage technology to enhance team efficiency, streamline communication, and achieve project objectives effectively. By examining recent analyses and diverse global case studies, it offers a comprehensive exploration of how technology can be utilized to manage team dynamics in project environments. Specifically, the article investigates the integration of collaborative tools, the role of artificial intelligence in task allocation, and the impact of real-time data sharing on decision-making processes. The findings highlight key factors that contribute to the success of technology-enhanced project teams, such as the importance of clear communication channels, adaptive leadership, and a strong emphasis on team cohesion. Practical recommendations are provided, including the implementation of customized digital platforms that cater to specific project needs, and the use of data-driven methods to predict and mitigate potential challenges. From a theoretical perspective, this article examines the intersection of technology and organizational behavior, providing insights into how emerging technologies reshape traditional team structures and workflows. It also discusses the potential risks associated with over-reliance on technology, such as reduced interpersonal connection and the challenges of managing virtual teams. In conclusion, this article serves as a valuable resource for project managers, team leaders, and organizational strategists seeking to navigate the complexities of technology-driven project environments. By embracing the strategies and insights presented, organizations can harness the full potential of technology to build more effective, resilient, and goal-oriented project teams.

The use of Artificial Intelligence in the restaurant business

The study aimed to explore how artificial intelligence (AI) is applied in the restaurant industry, particularly in enhancing operational efficiency, personalizing customer interactions, and predicting demand. Using qualitative methods, interviews were conducted with industry experts in Odesa, Ukraine, including professionals from major chains and a case study with a Ukrainian chef. Findings revealed that global brands like McDonald’s, Starbucks, and Marriott use AI for demand forecasting, offer personalization, and streamlining communication. Chef Yevhen Klopotenko’s use of AI to prepare a gourmet dinner showcased its innovative potential in cuisine. The research enriches the existing literature on AI in hospitality with practical examples, offering valuable insights for industry professionals. It highlights the significance of AI in predicting demand and automating customer interactions to boost efficiency. The originality of the study lies in its analysis of AI applications and its comprehensive list of AI tools for content generation. However, the qualitative focus and regional scope limit generalizability, suggesting future research could broaden to include other regions and quantitative methods.

An overview of Electronic Data Interchange (EDI) ANSI X12 4010 Version

The ANSI X12 4010 is a widely adopted version of the American National Standards Institute (ANSI) X12 standards for Electronic Data Interchange (EDI). This paper explores its foundational principles, structure, common transaction sets, and real-world applications, emphasizing its role in improving efficiency, accuracy, and cost-effectiveness in business operations. The 4010 version continues to serve as a cornerstone in industries requiring streamlined electronic communication, despite the emergence of newer versions and complementary standards.

The Influence of Cloud-Based Management Information Systems on Remote Work Efficiency

The rapid shift towards remote work, driven by technological advancements and global disruptions, has highlighted the critical role of cloud-based Management Information Systems (MIS) in supporting organizational efficiency. This study examines the transformative potential of cloud-based MIS in enhancing remote work productivity, streamlining communication, and enabling data-driven decision-making. Through a systematic review of 50 peer-reviewed studies, the research identifies the key benefits of these systems, including real-time data accessibility, seamless collaboration, and advanced analytics for informed decision-making. However, challenges such as data security, privacy concerns, and infrastructure disparities persist. Emerging technologies, such as blockchain and augmented reality, offer promising solutions but require further integration and research. The study underscores the importance of organizational adaptability and strategic investments in technology and training to maximize the benefits of cloud-based MIS. This research provides actionable insights for practitioners, policymakers, and scholars, contributing to the ongoing discourse on the future of remote work.

An artificial intelligence platform for the screening and managing of strabismus.

Considering the escalating incidence of strabismus and its consequential jeopardy to binocular vision, there is an imperative demand for expeditious and precise screening methods. This study was to develop an artificial intelligence (AI) platform in the form of an applet that facilitates the screening and management of strabismus on any mobile device. The Visual Transformer (VIT_16_224) was developed using primary gaze photos from two datasets covering different ages. The AI model was evaluated by 5-fold cross-validation set and tested on an independent test set. The diagnostic performance of the AI model was assessed by calculating the Accuracy, Precision, Specificity, Sensitivity, F1-Score and Area Under the Curve (AUC). A total of 6194 photos with corneal light-reflection (with 2938 Exotropia, 1415 Esotropia, 739 Vertical Deviation and 1562 Orthotropy) were included. In the internal validation set, the AI model achieved an Accuracy of 0.980, Precision of 0.941, Specificity of 0.979, Sensitivity of 0.958, F1-Score of 0.951 and AUC of 0.994. In the independent test set, the AI model achieved an Accuracy of 0.967, Precision of 0.980, Specificity of 0.970, Sensitivity of 0.960, F1-Score of 0.975 and AUC of 0.993. Our study presents an advanced AI model for strabismus screening which integrates electronic archives for comprehensive patient histories. Additionally, it includes a patient-physician interaction module for streamlined communication. This innovative platform offers a complete solution for strabismus care, from screening to long-term follow-up, advancing ophthalmology through AI technology for improved patient outcomes and eye care quality.

An Analysis of Critical Processes and Employee Challenges at Velmurugan Heavy Engineering Industries (VHEI) Private Limited, Thanjavur

This study investigates the critical processes and challenges faced by employees at Velmurugan Heavy Engineering Pvt. Ltd., located in Sengipatti, Thanjavur. The aim is to identify areas for improvement and provide recommendations to enhance employee performance and organizational effectiveness. Employing a mixed-method approach combining qualitative and quantitative methods, data were collected extensively through surveys, interviews, and observations from a representative sample across departments and hierarchical levels. The findings highlight critical areas such as project management, quality control, communication channels, and performance evaluation. While the organization demonstrates competence in these areas, gaps exist, particularly in streamlined communication and efficient project management. The study also uncovers challenges including unclear role expectations, limited professional development opportunities, inadequate work-life balance, and insufficient recognition and rewards. Recommendations are offered to strengthen communication channels, enhance project management practices, implement employee development programs, promote work-life balance initiatives, and establish a robust recognition and rewards system. Addressing these challenges and implementing recommended strategies has led to improved employee satisfaction, productivity, and overall organizational performance. This study provides valuable insights for Velmurugan Heavy Engineering Pvt. Ltd. to cultivate a positive work environment and foster a highly engaged workforce, contributing to sustainable growth and success

Tackling Pertussis in Schools: A Public Health Unit’s Approach

Abstract Issue Pertussis is a highly infectious bacterial respiratory disease, easily transmitted in closed settings, such as schools. In Portugal, 2019 was the last year with a significant number of cases (83). As pertussis usually follows epidemic cycles from 3 to 5 years, another wave is expected in 2024. Children aged 1-5 years are particularly vulnerable as they no longer benefit from maternal vaccination and have not yet received the 5-year boost recommended in the national schedule. Description of the problem In April 2024, the Cascais Public Health Unit (PHU) addressed two possible pertussis cases in preschools. A streamlined response protocol was drafted, including an online contact tracing form and task distribution among response team members, along with templates and a scripted guide for standardized communication. Results We were provided a list of close contacts for the children and staff and shared an online form. In the first case, 34 in 35 identified contacts responded to the form, while in the second case, 38 in 55. When comparing both scenarios, the average scripted call duration decreased from 10 to 6 minutes. The PHU response to the first index case took 6 hours, involving 4 physicians and 5 nurses, whereas to the second took 4 hours, involving 3 physicians and 3 nurses. However, implementation requires at least one team member with basic information technology skills to set up the system. Lessons Clear communication channels between schools and public health authorities are vital for effective outbreak management. Streamlining communication processes with online forms and scripted conversation guides improved efficiency. Centralised data collection reduced response time and resource requirements in each outbreak. Key messages • Established communication channel, standardized data collection, and streamlined protocol allow more effective outbreak management. • Centralized data collection via digital tools is particularly useful in limited human resources settings.

Investigating the influence of digital transformation, budgeting and budgetary control on the financial performance of SMEs

The study delves into the challenges and opportunities SMEs face in South-West Nigeria, focusing on the transformative impacts of digitalization, big data analytics, customer experience enhancement, and stringent budgeting controls on their financial performance. The research analyzes data from 825 SMEs through Partial Least Squares Structural Equation Modelling (PLS-SEM) analyze the data. The findings indicate that digital transformation significantly boosts customer experience, big data analytics, and budgetary controls. Enhanced customer experience and effective big data utilization reciprocally improve budgetary control processes, which are crucial for financial performance. The study reveals the mediating roles of customer experience and big data analytics in the relationship between digital transformation and budgeting control, highlighting the interconnectedness of these factors. Financial efficiency also emerges as a significant moderator in the nexus between budgetary control and financial performance, underscoring its influence on economic outcomes. This research proposed initiatives such as investments in customer relationship management systems, personalized services, and streamlined communication channels to create positive customer experiences that, in turn, positively influence budgeting outcomes.

The Effect of Implementing Servant Leadership Practices on the Adoption of Digital Transformation for Companies in the Telecommunications Sector

This study aims to analyze the effect of implementing servant leadership practices on adopting digital transformation among employees at Algeria Telecom’s commercial agencies in Laghouat. The independent variable, Servant Leadership, is explored through five dimensions: Moral Love, Empowerment, Humility, Vision, and Trust. Conversely, the dependent variable, the Adoption of Digital Transformation, is assessed through three dimensions: Operational, Relational, and Transformational. To fulfill the objectives of this research, a questionnaire was developed and administered to a sample of 74 employees. The data were analyzed using SPSS software version 25. To test the hypotheses, the study employed Structural Equation Modeling via Partial Least Squares (PLS-SEM) and the Bootstrapping method of testing the hypotheses of the study, through the Smart -PLS (4) software. The findings reveal that servant leadership practices notably influence the adoption of digital transformation among employees, with significant effects observed specifically in empowerment and trust, which recorded probability values of 0.008 and 0.024, respectively. In contrast, the dimensions of Moral Love, Humility, and Vision were found to exert no significant effect, as their probability values were 0.388, 0.183, and 0.167, respectively, which are above the significance level of 0.05. Based on these results, the researchers propose several recommendations: granting a portion of decision-making autonomy to employees to foster empowerment, encouraging teamwork towards common organizational goals, streamlining communication channels for efficient information delivery, and enhancing trust and job satisfaction through both material and moral incentives within the organization.

The Pathways to Community Living Initiative (PCLI) for older adults: implementation and outcomes.

To describe implementation of the Pathways to Community Living Initiative (PCLI) within an Older People's Mental Health (OPMH) service. A retrospective observational study was conducted. Implementation comprised partnership with a specialist Residential Aged Care Facility (RACF). Data were obtained from Clinical Advisory Committee (CAC) discussion and minutes, the PCLI database, and consumer medical records. Eighteen consumers were accepted onto the program between April 2019 and March 2023. Their PCLI and rating scale outcomes alongside interventions facilitating placements are described. Interventions included OPMH case management, wide-reaching liaison, and inservices. Challenges included communication, confusion regarding roles, and differing views on capacity to accommodate complex consumers. Solutions included streamlining communication, including clinical updates in the CAC, facility appointment of a lead PCLI-nurse, and targeted RACF education. Considered interventions strengthened the OPMH and specialist RACF partnership over time. Clarification of professional roles and intersection with other services was crucial. Successful placement for PCLI consumers required consideration of personalised needs and existing resident mix, liaison with stakeholders, and targeted staff training. These strategies may apply to other health services implementing similar initiatives supporting community placements for OPMH consumers with complex needs.

An Impact of CRM at Max Fashion Retail Limited

Effective customer relationship management (CRM) is essential for maintaining competitive advantage in the retail fashion industry. At Max Fashion, CRM strategies have been designed to enhance customer loyalty, streamline communication, and improve overall customer satisfaction. This study examines the various CRM practices employed by Max Fashion, including the use of customer data analytics, personalized marketing campaigns, and loyalty programs. By integrating technology such as CRM software and social media platforms, the company aims to better understand customer preferences and purchasing behaviour. The research highlights how these strategies contribute to increased customer retention and long-term business success. Through a combination of qualitative interviews with Max Fashion's management team and quantitative data analysis from customer feedback, the study identifies the key factors driving CRM effectiveness. This research provides valuable insights for fashion retailers seeking to implement or refine their own CRM strategies in an increasingly digital marketplace

Abstract A016: Understanding the Impact of Numerous Cancer Prevention Guidelines on Public Adherence

Abstract Background: Organizations like the American Cancer Society (ACS) and the U.S. Preventive Services Task Force (USPSTF) have developed comprehensive cancer prevention guidelines focusing on nutrition, physical activity, cancer screening, and vaccination with a goal of reducing cancer incidence and improving cancer health outcomes. However, the abundance and complexity of these guidelines can lead to public confusion and potentially hinder adherence. This study investigates public perception of the multitude of cancer prevention guidelines and their potential impact on compliance. Methods: Data were derived from the 2020 Health Information National Trends Survey (HINTS 5, Cycle 4, 2020), conducted via a mail survey from February to June 2020. We examined public perception about cancer prevention recommendations and if the number of recommendations made it more difficult to determine which ones to follow. Multivariable Logistic regression was used to examine the factors that are associated with agreement with the statement: “there are so many different recommendations about preventing cancer, it's hard to know which ones to follow.” Results: Survey respondents consisted of 3,747 U.S. adults. Approximately 74.1% of respondents agreed with the statement, "There are so many different recommendations about preventing cancer, it's hard to know which ones to follow." Non-Hispanic Black respondents had the highest proportion of agreement (80.6%) Level of education was statistically significantly associated with agreement with the statement "there are so many different recommendations about preventing cancer, it's hard to know which ones to follow." As education level increased, the odds of agreeing with the statement decreased. Specifically, college graduates (aOR 0.58; 95% CI: 0.36-0.94), and those with postgraduate education had an aOR of 0.38 (95% CI: 0.22-0.67). Conclusion: The study highlights significant public perception challenges regarding the abundance of cancer prevention guidelines. These findings suggest a need for streamlined communication and education strategies to enhance guideline adherence and optimize cancer prevention efforts. Citation Format: Tochukwu Nzeako, Onyema Chido-Amajuoyi. Understanding the Impact of Numerous Cancer Prevention Guidelines on Public Adherence [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr A016.

Empowering virtual collaboration: harnessing AI for enhanced teamwork in higher education

The emergence of Artificial Intelligence (AI) has brought about a significant change in higher education. It has led to the adoption of more digitally advanced and collaborative models. This paper examines the potential of AI in promoting dynamic virtual teamwork and improving the collective experience in the academic world. It discusses how AI tools can be integrated into various sectors of virtual teamwork, such as academic learning, group projects, communication, assessment, research collaboration, administrative efficiency, engagement strategies, and continuous feedback mechanisms. The paper provides a comprehensive analysis of AI's role in these areas, showing how AI can personalize learning, facilitate complex group tasks, streamline communication, and provide real-time feedback. Ultimately, this will prepare students for the challenges of the professional world and enhance educational efficacy. The paper evaluates the significance of AI in each sector, offering insights into how higher education institutions can use these technologies to create an environment that fosters advanced virtual collaboration. The paper argues that strategic integration of AI is crucial in equipping students with the necessary skills and competencies for the evolving digital landscape of the 21st century.

Efficient provable dual receiver hybrid and light weight public key schemes based on the discrete logarithm problem without pairings

AbstractDual‐receiver proxy re‐encryption is a cryptographic technique that enables secure data sharing among multiple authorized users or entities. It has gained significant attention for its ability to manage access permissions, data confidentiality, and streamline communication channels. These schemes have been widely used in various applications, including healthcare systems, cloud computing, Internet of Things (IoT) systems, collaborative environments, and secure communication channels. This paper aims to propose two proxy re‐encryption schemes for dual receivers without pairings. The first is dual receiver lightweight proxy re‐encryption without pairings (DR‐LWPRE‐WP), which uses a public key scheme to reduce computational complexity. The second is dual receiver hybrid proxy re‐encryption without pairings (DR‐HPRE‐WP), which incorporates public key and symmetric key schemes. Both schemes offer protection against selected plaintext attacks based on the decisional Diffie‐Hellman principle. The DR‐LWPRE‐WP scheme reduces computation by approximately 53% compared to pairing‐based schemes, making it suitable for lightweight applications like the Internet of Things. The computational efficacy of these schemes offers significant benefits for resource‐constrained environments and practical implementations.

Blockchain Technology Communication Technology Model for the IoT

In the rapidly evolving landscape of the Internet of Things (IoT), effective communication and security are paramount. Blockchain technology offers a transformative solution by providing a decentralized, transparent, and immutable ledger for managing and securing IoT interactions. By leveraging blockchain, IoT systems can enhance data integrity, improve trustworthiness, and streamline communication processes. This paper investigates the integration of blockchain technology within the SYMHIOT framework, focusing on the performance evaluation of various scenarios using a Hidden Markov Model (HMM) to manage IoT networks. The study analyzes key metrics such as transaction success rate, blockchain latency, energy consumption, packet delivery ratio (PDR), and throughput across multiple scenarios and time intervals. The results demonstrate that State 1 consistently yields optimal performance, with an average transaction success rate of 94.0%, blockchain latency as low as 115 ms, and energy consumption of 0.42 J. In contrast, State 3 exhibited the most challenging conditions, with a transaction success rate dropping to 85.3%, latency increasing to 140 ms, and energy consumption rising to 0.52 J. The highest packet delivery ratio of 99.0% and throughput of 260 kbps were also observed in State 1. Scenario 4, representing an optimized system configuration, achieved the best overall performance with minimal network delay (9.7 ms) and the lowest blockchain overhead (12.9%). These findings underscore the potential of leveraging blockchain in IoT environments, offering enhanced security, reduced latency, and improved resource efficiency, making it a robust solution for dynamic and resourceconstrained IoT networks.