Regulatory Compliance Research Articles

Institutional and Regulatory Compliance Gaps in Natural Resource Governance: Empirical Evidence and Lessons from the Nigeria Oil and Gas Industry

Institutional governance has traditionally been frequently undermined by developing countries, but this behaviour has immensely impacted economic growth and development outcome with long term implications. More fundamentally, the Nigeria oil and gas industry governance are beset with various challenges including regulatory compliance, monitoring capacity, enforcement mechanism, politics and very frequently plagued with blame games. Consequently, the study conducted primary and secondary data to problematized gaps in institutional governance from the standpoint of development discourse to establish a convergence of evidences within the context of the quality of state institutions that unarguably reflects the Nigeria scenario. Institutional and regulatory compliance gaps permeate the gamut of the oil and gas industry so resolutely in the global South like Nigeria, orchestrated by the political elites who are so perverse, rent seeking, inept and greed driven with no clear sense of patriotism compare to the global North like Norway that is more effective and nationalistic. The findings of the study highlight weaknesses in policy framework, corrupt practices, poor contract management, compromised professional integrity, inadequate funding, poor contract management and systemic gap in revenue management as a consequence of gaps in natural resources governance in the oil and gas industry in Nigeria. It explains this on the basis of existing mechanisms and empirical evidences. These evidently exemplify that Nigeria has struggled for several decades from lethargic institutional and regulatory compliance capacity as the presence of oil and gas does not translate or appear to systematically support development outcome in many developing countries.

An Exploratory Study of Entrepreneurs in the Textile Industry in India: Scope and Challenges

This paper presents an exploratory study of entrepreneurs in the textile industry in India, focusing on the scope, challenges, and strategic imperatives for establishing a textile plant. The research provides a comprehensive overview of the multifaceted aspects required for successful operations, including distribution channels, sales strategies, and marketing approaches. Through qualitative interviews with industry leaders and analysis of secondary data, the study highlights critical factors influencing the textile sector, such as supply chain management, regulatory compliance, and market entry strategies. It also examines the role of technology in enhancing operational efficiency and the importance of sustainability in production practices. The findings reveal that while there are significant growth opportunities in the Indian textile market, entrepreneurs must navigate various challenges, including competition, infrastructure constraints, and evolving consumer preferences. This research aims to equip prospective entrepreneurs with actionable insights to facilitate informed decision-making and foster sustainable growth in the textile industry. Key Words: Textile Industry, Entrepreneurs, India, Distribution Strategy, Sales and Marketing, Supply Chain Management, Regulatory Compliance, Technology Integration, Sustainability, Market Entry Strategies

Augmenting Data Privacy Protocols and Enacting Regulatory Frameworks for Cryptocurrencies via Advanced Blockchain Methodologies and Artificial Intelligence

This study examines the effectiveness of current data privacy protocols within cryptocurrency platforms, focusing on encryption strength, anonymity techniques, and AI-powered regulatory compliance tools. Data were sourced from CoinMarketCap and Kaggle, including metrics like Bit Strength, Breach Incidents, and Anonymity Scores, which were analyzed using descriptive statistics, t-tests, and logistic regression. Results showed no significant relationship between encryption strength and breach incidents (p = 0.817), indicating that encryption strength may not be a primary factor in breach prevention. The weak correlation between encryption strength and breaches suggests that other elements, such as platform vulnerabilities or user behaviour, could play a more critical role in security. AI systems, evaluated through metrics like precision (0.168), recall (0.204), and F1 score (0.184), struggled with false positives, showing limitations in accurately detecting breaches and highlighting the need for more refined AI models. Advanced blockchain technologies like Zero-Knowledge Proofs and Homomorphic Encryption enhanced privacy but increased computational costs. It is recommended that hybrid encryption methods be adopted to balance privacy and performance and improve AI systems for more accurate breach detection. Governments must create clear regulations that encourage innovation while ensuring compliance.

Audit Committee’s Roles & Effectiveness: Evidence from Indonesia

Financial statement manipulation that still occurring nowadays in Indonesia leads the following issue of how audit committee’s functioning within a corporation. This study questions whether audit committee has certain significant role as stated by OJK or just a formality to obey the regulation set by the government. Therefore, this research analyzes the audit committees’ effectiveness in Indonesia by using POJK No. 55/POJK.04/2015 as the basis of measurement. To examine the audit committee’s effectiveness, this research gathers primary data by distributing a questionnaire to audit committee’s in listed companies in Indonesia and to Ikatan Komite Audit Indonesia (IKAI). Based on the responses, the data is then analyzed by using the SEM-PLS approach. It is found that audit committee diligence in audit and decision-making areas significantly increases the audit committee activity. Moreover, audit committee activity and responsibility in internal audit, regulatory compliance, and risk management significantly influence the audit committee’s effectiveness.

Internet of Things and Distributed Computing Systems in Business Models

The integration of the Internet of Things (IoT) and Distributed Computing Systems (DCS) is transforming business models across industries. IoT devices allow immediate monitoring of equipment and processes, mitigating lost time and enhancing efficiency. In this case, manufacturing companies use IoT sensors to monitor machinery, predict failures, and schedule maintenance. Also, automation via IoT reduces manual intervention, resulting in boosted productivity in smart factories and automated supply chains. IoT devices generate this vast amount of data, which businesses analyze to gain insights into customer behavior, operational inefficiencies, and market trends. In turn, Distributed Computing Systems process this data, providing actionable insights and enabling advanced analytics and machine learning for future trend predictions. While, IoT facilitates personalized products and services by collecting data on customer preferences and usage patterns, enhancing satisfaction and loyalty, IoT devices support new customer interactions, like wearable health devices, and enable subscription-based and pay-per-use models in transportation and utilities. Conversely, real-time monitoring enhances security, as distributed systems quickly respond to threats, ensuring operational safety. It also aids regulatory compliance by providing accurate operational data. In this way, this study, through a Bibliometric Literature Review (LRSB) of 91 screened pieces of literature, aims at ascertaining to what extent the aforementioned capacities, overall, enhance business models, in terms of efficiency and effectiveness. The study concludes that those systems altogether leverage businesses, promoting competitive edge, continuous innovation, and adaptability to market dynamics. In particular, overall, the integration of both IoT and Distributed Systems in business models augments its numerous advantages: it develops smart infrastructures e.g., smart grids; edge computing that allows data processing closer to the data source e.g., autonomous vehicles; predictive analytics, by helping businesses anticipate issues e.g., to foresee equipment failures; personalized services e.g., through e-commerce platforms of personalized recommendations to users; enhanced security, while reducing the risk of centralized attacks e.g., blockchain technology, in how IoT and Distributed Computing Systems altogether impact business models. Future research avenues are suggested.

Is employment protection legislation a driver or an inhibitor of entrepreneurship? The interaction between stringency and enforcement

PurposeThis study aims to revisit the relationship between the stringency of employment protection legislation and entrepreneurship at the macro-level using time series data from 28 OECD countries.Design/methodology/approachTo address model uncertainty, a Bayesian model averaging methodology is employed, overcoming issues related to predictor selection. Additionally, the study delves into the interaction between employment protection legislation and the rule of law, considering potential unintended consequences and overlapping effects. Heterogeneity within self-employment is explored, making a distinction between solo self-employment and employer entrepreneurship.FindingsThe findings reveal that the impact of employment protection legislation, both for regular and temporary employment, on aggregate solo self-employment rates is contingent upon the level of practical regulatory compliance. The legislation can either stimulate or hinder entrepreneurship, highlighting the nuanced nature of its influence on macro-level entrepreneurial activities.Practical implicationsThe results of this study provide valuable insights for policymakers and regulators by emphasizing the complexity of the relationships under consideration. Understanding the potential interactions between employment protection legislation, rule of law and practical regulatory compliance is crucial for designing an effective and conducive regulatory environment for entrepreneurship.Originality/valueThis research offers a unique contribution to the literature in three distinct ways: by addressing model uncertainty through Bayesian model averaging, examining the interaction between employment protection legislation and the rule of law and differentiating between solo self-employment and employer entrepreneurship. These distinctive elements enhance the originality and value of the study, providing a more nuanced understanding of the intricate relationship between legal frameworks and macro-level entrepreneurship.

Leveraging Blockchain Technology for Public Health

This study delves into the metamorphic potential pertaining to blockchain technology public health, concentrating on its aptness towards addressing the critical challenges related to data security, privacy, and it enroute for improving health service outcomes. By incorporating decentralized structures and smart contracts, blockchain intensify data integrity, ensuring consistency and protective access control, which is principally effective for sensitive medical information. The study enlightens on the advantages of blockchain in entrusting patients as well as healthcare providers with control over public health related information, ensuring privacy and reinforcing regulatory compliance. It delves into the process of how blockchain can streamline healthcare processes, upgrading interoperability among healthcare systems, and create more systematic and affordable models for healthcare service delivery. Based on the case studies from different healthcare stakeholders, the paper provides factual and feasible insights for real-world implementations of blockchain in healthcare, exhibiting its potential to transfigure supply chain management, different insurance claims processing and managing electronic health records. Moreover, the study also recognizes the challenges, including technical constraints, ethical reviews, and the complication of integrating blockchain with existing healthcare framework. The study widens it discussion towards the legal and regulatory aspect, emphasizing the need for a comprehensive approach to adoption. Looking forward, the paper covers the emerging trends and offers guidance for healthcare stakeholders considering blockchain implementation, summarizing that blockchain could be a catalyst for remarkable improvements in public healthcare data administration and patient care.

Advanced Analytical Methods for Risk Mitigation in Multimodal Freight Transport

Stakeholders in multimodal freight transport encounter significant challenges due to the multitude of unknowns and inherent risks that can adversely affect operations. The subjective nature of the information complicates the identification and assessment of these risks, making them particularly challenging in the context of multimodal transport, where the potential consequences can be substantial. This research intends to provide a comprehensive understanding of the asymmetries in risks associated with multimodal freight transport by identifying and evaluating quantitative hazards. By integrating fuzzy set theory and failure mode and effects analysis (FMEA), the study offers a structured approach to statistically forecast risks, addressing imprecision in traditional risk assessments. Qualitative interviews conducted with multimodal freight transport operators in Thailand reveal critical insights, including the identification of high-priority risks such as delays from regulatory compliance, inadequate infrastructure, and inefficiencies in stakeholder communication. The findings of this study not only highlight these pressing issues but also provide actionable strategies to mitigate risks, thereby enhancing the operational resilience of multimodal freight transport systems.

Tire wear monitoring using feature fusion and CatBoost classifier

Addressing the critical issue of tire wear is essential for enhancing vehicle safety, performance, and maintenance. Worn-out tires often lead to accidents, underscoring the need for effective monitoring systems. This study is vital for several reasons: safety, as worn tires increase the risk of accidents due to reduced traction and longer braking distances; performance, as uneven tire wear affects vehicle handling and fuel efficiency; maintenance costs, as early detection can prevent more severe damage to suspension and alignment systems; and regulatory compliance, as ensuring tire integrity helps meet safety regulations imposed by transportation authorities. In response, this study systematically evaluates tire conditions at 25%, 50%, 75%, and 100% wear, with an intact tire as a reference, using vibration signals as the primary data source. The analysis employs statistical, histogram, and autoregressive–moving-average (ARMA) feature extraction techniques, followed by feature selection to identify key parameters influencing tire wear. CatBoost is used for feature classification, leveraging its adaptability and efficiency in distinguishing varying wear patterns. Additionally, the study incorporates feature fusion to combine different types of features for a more comprehensive analysis. The proposed methodology not only offers a robust framework for accurately classifying tire wear levels but also holds significant potential for real-time implementation, contributing to proactive maintenance practices, prolonged tire lifespan, and overall vehicular safety.

The Critical Role of SREs in Safeguarding Healthcare Data Integrity and Availability

This article explores the critical role of Site Reliability Engineers (SREs) in the rapidly evolving landscape of healthcare technology. As healthcare organizations increasingly adopt digital solutions, SREs have become indispensable in ensuring data integrity, system availability, and regulatory compliance. The article discusses the unique challenges faced by SREs in healthcare environments, including managing vast amounts of sensitive patient data, implementing robust security measures, and maintaining high system reliability. It examines the key responsibilities of SREs, such as proactive monitoring, incident response, data consistency management, and security compliance. Furthermore, the article highlights the significant impact of SRE practices on healthcare delivery, including enhanced patient care, improved operational efficiency, risk mitigation, and cost reduction. Through a combination of statistical data and industry insights, this work underscores the growing importance of SREs in shaping the future of healthcare technology and improving overall patient outcomes.

A Systematic Review and Multifaceted Analysis of the Integration of Artificial Intelligence and Blockchain: Shaping the Future of Australian Higher Education

This study explores the applications and implications of blockchain technology in the Australian higher education system, focusing on its integration with artificial intelligence (AI). By addressing critical challenges in credential verification, administrative efficiency, and academic integrity, this integration aims to enhance the global competitiveness of Australian higher education institutions. A comprehensive review of 25 recent research papers quantifies the benefits, challenges, and prospects of blockchain adoption in educational settings. Our findings reveal that 52% of the reviewed papers focus on systematic reviews, 28% focus on application-based studies, and 20% combine both approaches. The keyword analysis identified 287 total words, with “blockchain” and “education” as the most prominent themes. This study highlights blockchain’s potential to improve credential management, academic integrity, administrative efficiency, and funding mechanisms in education. However, challenges such as technical implementation (24%), regulatory compliance (32%), environmental concerns (28%), and data security risks (40%) must be addressed to achieve widespread adoption. This study also discusses critical prerequisites for successful blockchain integration, including infrastructure development, staff training, regulatory harmonisation, and the incorporation of AI for personalised learning. Our research concludes that blockchain, when strategically implemented and combined with AI, has the potential to transform the Australian higher education system, significantly enhancing its integrity, efficiency, and global competitiveness.

TRAILBLAZING AI IMPLEMENTATION: OVERCOMING REGULATORY HURDLES AND BRIDGING TALENT GAPS TO TURN RESISTANCE INTO RESILIENCE AT RHB BANK HEADQUARTERS, MALAYSIA

The rapid integration of Artificial Intelligence (AI) in the banking sector offers both transformative opportunities and significant challenges. This study investigates the impact of resistance to change, talent and skills gaps, and regulatory compliance on the successful implementation of AI technologies at RHB Bank Headquarters in Malaysia. Using a quantitative research methodology, data were collected through a self-administered questionnaire distributed to 370 employees across various departments and hierarchical levels. Respondents were selected using a simple random sampling method. The study aimed to evaluate the relationships between these critical factors and AI implementation. Findings indicate that all three factors significantly influence AI implementation at RHB Bank, with regulatory compliance emerging as the strongest predictor, followed by resistance to change and the talent and skills gap. These results suggest that addressing employee resistance, bridging workforce skill deficiencies, and ensuring regulatory adherence are crucial for overcoming barriers to AI implementation. The study concludes that for RHB Bank to fully harness the advantages of AI, strategic efforts must focus on fostering a culture of adaptability, investing in talent development, and maintaining compliance with evolving regulatory frameworks. Such efforts are essential for enhancing the bank's operational efficiency and securing a competitive edge in the digital banking era.<p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/soc/0762/a.php" alt="Hit counter" /></p>

Driving Innovation Through Regulatory Design and Corporate Behaviour: A Case Study of Functional Food Industry in Japan.

This study addresses the critical need for innovation in the healthcare sector, particularly in Japan's functional food industry, amid rising chronic diseases and healthcare costs. It explores the complex relationship between regulatory design and corporate behaviour, focusing on how companies' compliance strategies influence their research and development (R&D) investments. A mixed-method approach was used, analysing data from 15 major dietary supplement companies and 74 products under Japan's Foods with Function Claims (FFCs) regulation. The study reveals a correlation between companies' engagement in the FFCs system and their preference for conducting in-house clinical trials, indicative of higher R&D investments (R = 0.66, p = 0.007), and that between the latter variable and average product sales, which is a measure of returns on regulatory compliance (R = 0.66, p = 0.008). Companies actively complying with FFCs regulations tend to conduct R&D and accumulate knowledge in-house, to innovate and differentiate their products, gaining competitive advantages. The study also highlights the role of a company's size, market presence, and industry origins in shaping regulatory strategies, with firms from other industries using FFCs regulations to explore new business opportunities. The research underscores the importance of flexible regulatory frameworks that encourage R&D investment, leading to innovation and competitive advantages in the healthcare sector.

Corporate innovation and fraud in response to political sanctions: intellectual capital as a resilience factor

PurposeThis study investigates the impact of US political sanctions on innovation and fraudulent activities within Iranian businesses affected by sanctions. Additionally, it explores the moderating role of intellectual capital in the relationship between sanctions and innovation/fraud.Design/methodology/approachThe study employs a difference-in-differences methodology to compare Iranian companies before and after sanctions. It analyzes 23 sanctioned companies from 2013 to 2023, matched with non-sanctioned counterparts.FindingsThe empirical findings reveal a modest negative association between sanctions and innovation, with no discernible connection between sanctions and fraudulent practices. Notably, the study uncovers a significant divergence in companies’ reactions to sanctions, contingent upon their intellectual capital. Companies with substantial intellectual capital witness notable improvements in innovation endeavors, while those lacking robust intellectual capital exhibit an uptick in fraudulent activities in response to sanctions. These findings are robust across various sensitivity analyses, underlining their reliability and validity.Practical implicationsThe study underscores the pivotal role of intellectual capital in mitigating the adverse effects of sanctions on innovation. Consequently, policymakers and practitioners should prioritize investments in intellectual capital development, acknowledging its significance as a fundamental driver of organizational resilience and competitive advantage.Originality/valueThe findings contribute to the literature by revealing the nuanced effects of sanctions on innovation and fraudulent practices while highlighting the crucial role of intellectual capital. This enriches understanding of regulatory compliance, corporate behavior and the importance of intellectual capital in organizational resilience and ethical conduct.

Advancing AML tactical approaches with data analytics: Transformative strategies for improving regulatory compliance in banks

The growing complexity of financial crimes necessitates advanced Anti-Money Laundering (AML) strategies that leverage data analytics to improve regulatory compliance in banks. As traditional AML methods face challenges in detecting sophisticated money laundering schemes, data analytics offers transformative solutions by enabling real-time monitoring, enhanced risk detection, and predictive analysis. This review explores the integration of data analytics in AML systems and its impact on regulatory compliance, focusing on strategies that banks can adopt to mitigate risks and adhere to evolving regulations. Data analytics empowers financial institutions to analyze vast amounts of transactional data, identifying suspicious patterns and anomalies with greater precision. Machine learning algorithms and artificial intelligence (AI) further enhance these capabilities by automating risk assessments, reducing false positives, and improving decision-making processes. Through predictive analytics, banks can anticipate emerging threats, adapting their AML strategies proactively to counter new money laundering techniques. A key advantage of data-driven AML approaches is the ability to streamline compliance processes. By automating Know Your Customer (KYC) procedures and cross-referencing data from multiple sources, banks can efficiently verify customer identities and monitor for unusual behavior. Additionally, the adoption of data analytics improves reporting accuracy, ensuring compliance with stringent regulatory frameworks such as the Financial Action Task Force (FATF) and the Bank Secrecy Act (BSA). This review highlights the transformative role of data analytics in enhancing AML efforts, emphasizing the importance of real-time data integration, predictive modeling, and automation. The shift from reactive to proactive AML approaches not only strengthens regulatory compliance but also fosters a culture of vigilance and risk management within banks. As financial institutions continue to embrace digital transformation, leveraging data analytics for AML will be crucial in combating financial crimes and maintaining compliance in an increasingly complex regulatory environment. Keywords: Anti-Money Laundering (AML), Data Analytics, Regulatory Compliance, Banks, Financial Crime, Machine Learning, Artificial Intelligence, Know Your Customer (KYC), Predictive Analytics, Risk Management.

Transforming reservoir management in petroleum processing: a synergistic approach with IoT and Blockchain for enhanced emissions monitoring and regulatory reporting

This article proposes an innovative method to transform reservoir management in petroleum processing through the integration of the Internet of Things (IoT) and Blockchain technologies. In response to increasing demands for strict emissions monitoring and regulatory compliance, our approach aims to increase the precision, transparency, and security of data collection and reporting. In our proposed framework, we leverage IoT technology to deploy sensor networks across reservoirs and processing plants. The collected data is integrated into a Blockchain. This creates an immutable and transparent ledger for emissions-related information. Blockchain’s decentralized and tamper-proof features preserve data integrity and facilitate secure information sharing between stakeholders, including regulators and operators. Considering the specific scalability and performance requirements for data management in the petroleum industry, we propose a 4-layer system architecture. Our study examines the practical implementation and benefits of this innovative synergy.

A Study on Cybersecurity Challenges and Strategies in a Digitally Transformed Business Environment

In this era of digital transformation businesses are facing a rapidly changing cybersecurity landscape with new technologies, expanded attack surfaces and advanced threats. This article looks at the many cybersecurity challenges that arise from integrating advanced technologies like cloud, IoT and AI into business. The challenges are expanded attack surfaces, system complexity, data privacy and regulatory compliance and advanced threats. The article looks at the solutions to these challenges including Zero Trust architecture, layered security, advanced threat detection, incident response and security awareness training. plus real world case studies of how these solutions are being used and what’s coming next with emerging technologies and regulations. By addressing these challenges with a comprehensive approach businesses can strengthen their cybersecurity, protect their data and be resilient in a digital world. KEYWORDS Cybersecurity Challenges ,Digital Transformation, Cyber Threats ,IT Infrastructure ,Zero Trust Security ,Threat Detection ,Incident Response, Data Protection ,Regulatory Compliance Employee Training, Advanced Security Technologies, Cloud Security, Network Security

THE FUTURE OF 3D PRINTING IN MANUFACTURING (INNOVATIVE TECHNOLOGY REVOLUTIONIZING MANUFACTURING PROCESSES AND PRODUCTS)

"Imagine a world where you can create anything you want just by pressing a button! That's the magic of 3D printing. In the future, this technology will change how we make things in big factories. Instead of traditional methods, like cutting and molding, 3D printers use special materials to build layer by layer. It's like building with Legos, but in real life! This cool technology lets us make custom toys, tools, and even houses. It's like having a superpower to create whatever we can imagine. Scientists are even exploring using 3D printing to make body parts and yummy food! With 3D printing, we can reduce waste and make things more efficiently. It's like a glimpse into the future where creativity knows no bounds. So, get ready to witness the amazing world of 3D printing!" KEYWORDS 3D Printing, Additive Manufacturing, Customization, Sustainability, Bioprinting, Material Innovation, Industry 4.0, Supply Chain, Prototyping, Regulatory Compliance, Automation, Innovative Design, Waste Reduction, Manufacturing Efficiency, Digital Fabrication, Creative Empowerment.

The Impact of Administrative Decisions on Commercial Freedom in Saudi Arabia: A Legal Study

This legal study examines the impact of administrative decisions on commercial freedom in Saudi Arabia, exploring the intricate relationship between regulatory frameworks and business operations. The research analyzes the historical context of commercial freedom in the kingdom, tracing its evolution from traditional practices to the current legal landscape. It delves into the constitutional provisions and relevant legislation that shape administrative decision-making processes affecting commercial activities. Through case studies, the study illustrates practical implications of administrative decisions on various aspects of business operations, including visa regulations, residence permits, zoning laws, and regulatory compliance. The research identifies key challenges to commercial freedom, such as regulatory barriers and administrative obstacles, while also highlighting opportunities for enhancement, including improved transparency and modernized regulations. The study emphasizes the crucial roles of key stakeholders - government, private enterprises, and civil society organizations - in shaping commercial freedom. It proposes recommendations for reform, focusing on legislative changes, institutional improvements, and fostering an entrepreneurial culture. While acknowledging Saudi Arabia's progress in developing its commercial legislation and regulatory system, the research identifies areas for improvement. It concludes that the kingdom's efforts to balance regulatory oversight with business needs, coupled with its economic diversification goals, suggest a positive trajectory for commercial freedom. However, success depends on continued reform, stakeholder engagement, and adaptation to global economic trends while respecting local cultural and religious values. This study provides valuable insights for policymakers, business leaders, and researchers interested in understanding and enhancing commercial freedom in Saudi Arabia.

Neutronics design of shutdown and control systems for a Zero Power Experiments of chloride-based molten salt fast reactor.

Nuclear power's role as a reliable, baseload, low-carbon source and its importance in achieving clean energy goals are being increasingly recognized with growing urgency around decarbonization of the global energy systems. However, to deliver a long-term sustainable solution, it is essential to develop innovative nuclear technologies for improving the fuel utilization and reducing the nuclear waste disposal challenge. Zero Power Reactors (ZPR) are an essential initial step for developing new nuclear technologies because they allow for testing and refinement in a safe environment before large-scale deployment. This paper discusses the design of a ZPR experiments for the development of iMAGINE, a novel chloride-based molten salt reactor technology. The paper presents a detailed analysis of the neutronic design for the shutdown and control systems of an experimental ZPR based on the iMAGINE molten salt reactor technology. The study concludes that a split-core design with a lower corner reflector as an extension of the lower annular reflector offers the most robust ZPR configuration, offering optimum operational margins and maneuverability. This design ensures safety, regulatory compliance, and sufficient control and shutdown performance for the successful development of the iMAGINE technology.