Management Framework Research Articles

The impact of cultural practices on the outcome of IT risk management implementation

PurposeThe objectives of this research are two-fold. The first is to explore, describe and explain the relevance of the concept of Information Technology risk management (ITRM) implementation processes. In this regard, we were required to understand the interaction between contextual issues, the ITRM framework itself, IT individual interpretations toward them and their effect on implementation. The second objective is to develop a theoretical model for use in guiding the design and analysis of the proposed empirical work. The study introduces a fresh perspective to an established research area. It is argued that without more emphasis on the dynamic nature of the implementation process, an incomplete understanding of the problem will result.Design/methodology/approachThe study adopts an interpretive methodology to a multiple case study design gathering and analysing qualitative evidence. A series of three case studies was designed around 22 semi-structured in-depth interviews conducted to investigate IT individuals’ role in facilitating a successful ITRM implementation.FindingsThe findings provide new insights in relation to ITRM implementation by considering IT individual culture. The research develops a substantive theory involving a schematic model involving a set of theoretical propositions. These findings suggest a dynamic approach to implementing IT risk management framework — one that considers the interaction over time of intentions, context, process and action around risk management frameworks.Research limitations/implicationsThis study makes important theoretical contributions to the understanding of organizational implementations by taking a dynamic view of implementation, identifying different individual IT culture archetypes, emphasizing the role of social aspects and developing a set of key factors and contextual conditions.Practical implicationsThis model offers managers an understanding of how IT individual culture and the factors and contextual conditional work together over time to ensure a successful ITRM implementation. Meanwhile, it sheds some light on how managers treat IT individuals with different levels of experience differently.Originality/valueWe theorize IT individual culture and the factors and contextual conditional and show their effects on ITRM implementation success, thus making an essential contribution to the information systems and implementation research and practice. Moreover, we provide a novel methodology to conceptualize ITRM implementation as a cultural process through which IT people socially construct the meanings and purposes of their work activities. This research answers scholars’ call to construct more accurate explanations of innovation outcomes in an increasingly IS implementation world.

The microclimatic effects of the native shrub Ephedra californica (Mormon tea) in California drylands

IntroductionThe impacts of climate change can be profound in many ecosystems worldwide, including drylands such as arid and semi-arid scrublands and grasslands. Foundation plants such as shrubs can provide microclimatic refuges for a variety of taxa. These shrubs can directly influence micro6 environmental measures, and indirectly increase the local environmental heterogeneity as a result. We examined the hypothesis that, in comparison to an open gap, foundation shrubs improve the microclimate beneath their canopy and that microclimate is in turn a significant predictor of annual vegetation. The following predictions were made: 1) mean air temperature (NSAT), ground temperature (SGT), and vapour pressure deficit (VPD) will be significantly lower under the shrubs than in the open microsites; 2) shrub canopy size predicts microclimate; 3) site-level aridity estimates and percent shrub cover influence annual plant abundance and richness; and 4) the site13 level mean of NSAT and VPD predict annual plant abundance and richness.MethodsOur study took place in Southwestern California, U.S.A. We used a handheld device with a probe to measure microclimatic variables such as near-surface air temperature (NSAT), near-surface relative humidity (NSRH), and surface ground temperature (SGT) at the shrub species Ephedra californica and in the open gap, across six sites in California, United States. Air temperature and RH were then used to calculate VPD. The mean number of vascular plant species across each site was also recorded.Results & discussionOnly SGT was significantly reduced under shrub canopies. Canopy volume was not a significant predictor of all three microclimatic variables, demonstrating that even small, low-stature shrubs can have facilitative effects. Furthermore, total shrub cover and aridity at sites significantly predicted mean plant richness and abundance. There were significantly more plants associated with shrubs and there were significantly more species associated with the open. Mean air temperature and VPD at the site-level significantly predicted vegetation abundance and richness, though microsite-level differences were only significant for richness. Foundation shrubs are a focal point of resiliency in dryland ecosystems. Understanding their impact on microclimate can inform us of better management, conservation, and restoration frameworks.

An integrated analysis of key financial metrics driving commercial bank performance in Cambodia

This study aims to systematically identify and analyze key financial metrics that influence the performance of commercial banks in Cambodia. Utilizing 2023 data from the National Bank of Cambodia across 59 banks, the research adopts an explanatory framework based on cross-sectional data analysis. Findings reveal a statistically significant positive correlation between Non-Performing Loans (NPLs) and Return on Assets (ROA), suggesting effective NPL risk management by Cambodian banks, contrary to traditional financial theory. Loan Growth (LG) does not significantly impact ROA, indicating that external factors like market conditions and loan quality are more critical. Furthermore, Market Share (MS) has no significant impact on ROA, suggesting that market share may not be a critical determinant of bank performance in Cambodia. A significant negative relationship is observed between the Loan to Deposit Ratio (LDR) and ROA, suggesting that higher LDRs expose banks to liquidity risks and reduced profitability. Both Loan Loss Provision (LLP) and Cost to Income Ratio (CIR) negatively affect ROA, while the Effective Tax Rate (ETR) shows a marginally positive relationship. The Net Interest Margin (NIM) significantly impacts ROA, underscoring the importance of managing interest-earning assets and liabilities. Recommendations include investing in advanced risk management frameworks, enhancing loan quality, maintaining a balanced LDR, utilizing technology for cost efficiency, focusing on effective tax planning, and optimizing NIM through competitive pricing. Future research should explore additional contextual factors that affect profitability dynamics in the Cambodian banking sector.. Keywords: Commercial Banks, Financial Metrics, Return on Assets (ROA), Non-Performing Loans (NPLs), Loan to Deposit Ratio (LDR), Cost to Income Ratio (CIR), Effective Tax Rate (ETR), Net Interest Margin (NIM), Loan Growth (LG), Market Share (MS).

Integrated geophysical and GIS approaches for groundwater potential assessment: a case study of Aladja, Delta State, Nigeria

ABSTRACT This study explores the groundwater potential in Aladja, Udu, Local Government Area of Delta State, Nigeria, using an integrated approach combining electrical resistivity techniques with Remote Sensing (RS) and Geographic Information System (GIS) methods. The primary aim is to delineate aquifers and comprehensively assess groundwater resources. Methods include Vertical Electrical Sounding (VES) to gather resistivity data, RS and GIS for analyzing geological and hydrological parameters such as lineament density, drainage density, slope, soil type, and land use. The resistivity values ranged from 147 to 460.50 Ωm, with aquifer thicknesses varying between 6.50 and 36.30 m. The RS and GIS analysis indicated high groundwater potential in regions characterized by significant lineament density and moderate slopes. The study highlights the complementarity of VES and RS/GIS in groundwater exploration, revealing substantial groundwater resources in the northwestern regions of the study area. This approach underscores the importance of integrating these methods for a more accurate assessment of groundwater potential. The novelty of this study lies in validating RS and GIS findings with VES data, ensuring reliable groundwater potential mapping and effective resource management. This integrated methodology offers a robust framework for sustainable groundwater resource assessment and management in similar geological settings.

Metal-Organic Frameworks for Sustainable Crop Disease Management: Current Applications, Mechanistic Insights, and Future Challenges.

Efficient management of crop diseases and yield enhancement are essential for addressing the increasing food demands due to global population growth. Metal-organic frameworks (MOFs), which have rapidly evolved throughout the 21st century, are notable for their vast surface area, porosity, and adaptability, establishing them as highly effective vehicles for controlled drug delivery. This review methodically categorizes common MOFs employed in crop disease management and details their effectiveness against various pathogens. Additionally, by critically evaluating existing research, it outlines strategic approaches for the design of drug-delivery MOFs and explains the mechanisms through which MOFs enhance disease resistance. Finally, this paper identifies the current challenges in MOF research for crop disease management and suggests directions for future research. Through this in-depth review, the paper seeks to enrich the understanding of MOFs applications in crop disease management and offers valuable insights for researchers and practitioners.

Coupling Relationships and Driving Mechanisms of Water–Energy–Food in China from the Perspective of Supply and Demand Security

The rapid increase in population and economy, coupled with accelerated urbanization, is placing immense pressure on the water–energy–food (WEF) system. In this context, the water–energy–food nexus framework has emerged, recognizing the interdependencies and interactions among water, energy, and food systems, with the aim of optimizing resource management through cross-sectoral collaboration to promote sustainable development. Understanding the spatio-temporal differentiation patterns of the WEF nexus and elucidating the driving mechanisms behind changes in their coupling relationships is essential. This knowledge is crucial for ensuring the security of each subsystem and enhancing the overall sustainability of interconnected systems through coordinated efforts. To address these challenges, this study first established evaluation indicators for water, energy, and food security to quantify their levels and spatio-temporal dynamics. Subsequently, the degrees of coupling coordination within the WEF nexus were calculated. Finally, the WEF nexus’s spatial correlations were analyzed by using a spatial autocorrelation model. Spatial econometric models then identified key factors affecting its coordination. The results revealed significant spatial heterogeneity in water, energy, and food security across mainland China’s provinces. From 2002 to 2022, water security improved substantially in 87% of the provinces, while energy security began to improve in the eastern regions following a phase of high consumption. Food security saw significant enhancements, particularly in Inner Mongolia and the northeastern provinces. The overall coupling coordination of the WEF nexus improved across 30 provinces, progressing toward primary coordination. However, Henan and Anhui provinces experienced fluctuations in WEF nexus coordination. Spatial correlation analysis showed upward trends and increased clustering in WEF nexus coordination. Factors such as economic development and population positively influenced coordination, while economic agglomeration, education, and effective irrigation area had negative effects. This study elucidates the complex interconnections and key influencing factors within the WEF nexus, providing a reference framework and practical recommendations for equitable resource management.

Multi Attribute Trust Aware Routing for Adversary Detection in Wireless Sensor Networks

Security attacks has become major obstacles in Wireless Sensor Networks (WSN) and Trust Aware Routing is second line of defense. With an aim to improve on the existing routing mechanisms, in this paper, we propose Interactive, Onlooker and Capability Trust Aware Routing (IOC-TAR), a multi-trust attribute framework for trust management in WSNs. IOC-TAR employs three trust features to establish a trustworthy relationship between sensor nodes for their cooperation. Interactive trust uses communication interactions, onlooker trust uses neighbor node’s opinions and capability trust uses stability and fault tolerance for trust assessment. For, each node, one composite trust factor is formulated and decides its trustworthiness. Extensive simulation experiments are conducted to evaluate the effectiveness and efficiency of proposed IOC-TAR in the identification of malicious nodes and the provision of attack resilience. The results declare that the IOC-TAR enhances the attack resilience by improving Malicious Detection rate and reducing False Positive Rate.

Managing Induced Seismicity Risks From Enhanced Geothermal Systems: A Good Practice Guideline

AbstractGeothermal energy is a green source of power that could play an important role in climate‐conscious energy portfolios; enhanced geothermal systems (EGS) have the potential to scale up exploitation of thermal resources. During hydraulic fracturing, fluids injected under high‐pressure cause the rock mass to fail, stimulating fractures that improve fluid connectivity. However, this increase of pore fluid pressure can also reactivate pre‐existing fault systems, potentially inducing earthquakes of significant size. Induced earthquakes are a significant concern for EGS operations. In some cases, ground shaking nuisance, building damages, or injuries have spurred the early termination of projects (e.g., Basel, Pohang). On the other hand, EGS operations at Soultz‐sous‐Forêts (France), Helsinki (Finland), Blue Mountain (Nevada, USA), and Utah FORGE (USA) have adequately managed induced earthquake risks. The success of an EGS operation depends on economical reservoir enhancements, while maintaining acceptable seismic risk levels. This requires state‐of‐the‐art seismic risk management. This article reviews domains of seismology, earthquake engineering, risk management, and communication. We then synthesize “good practice” recommendations for evaluating, mitigating, and communicating the risk of induced seismicity. We advocate for a modular approach. Recommendations are provided for key technical aspects including (a) a seismic risk management framework, (b) seismic risk pre‐screening, (c) comprehensive seismic hazard and risk evaluation, (d) traffic light protocol designs, (e) seismic monitoring implementation, and (f) step‐by‐step communication plans. Our recommendations adhere to regulatory best practices, to ensure their general applicability. Our guidelines provide a template for effective earthquake risk management and future research directions.

Optimizing IT Project Management in Ukraine's Aviation Sector: Challenges, Opportunities, and Strategic Insights

The Ukrainian aviation industry is undergoing digital transformation; however, the pace remains behind global and European standards due to several challenges. These include limited funding, a lack of skilled IT professionals, and a slow rate of modern technology adoption. The research, titled "Optimizing IT Project Management in Ukraine’s Aviation Sector: Challenges, Opportunities, and Strategic Insights," addresses the urgent need for improvements in IT project management to enhance efficiency, competitiveness, and technological advancement within the aviation sector in Ukraine. This article analyzes the sector's current challenges, including insufficient government and private sector investment, internet infrastructure issues, and a shortage of IT specialists. It also identifies opportunities in areas like automation, digitization, and the potential for public-private collaborations. The study's primary objective is to develop and evaluate an optimal IT project management framework tailored to Ukraine’s aviation industry. This framework aims to optimize resource usage, integrate modern technologies like AI, automation, and cybersecurity, and improve global competitiveness. Furthermore, the research offers a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis of Ukraine’s aviation IT landscape, benchmarking it against European standards. A substantial gap exists between Ukraine and Europe regarding IT investment and automation, with European countries leading in adopting AI-driven systems, enhanced cybersecurity, and automated business and customer service processes. To bridge this divide, the study proposes an optimized IT project management model focused on strategic priorities such as investment in skill development, strengthening public-private partnerships, enhancing cybersecurity, implementing agile work methods, and supporting innovation through government initiatives. In conclusion, the study underscores that enhancing IT project management in Ukraine’s aviation industry is crucial for maintaining global competitiveness and improving operational efficiency. The proposed model offers actionable insights to address current challenges while capitalizing on new opportunities, thereby ensuring resilience in the face of ongoing global digitization and technological advancements.

Unravelling the Environmental Challenges: a State-of-the-Art Review of the Legal Framework of Solid Waste Management in Metropolitan Cities of India

Abstract This article provides insights into the challenges and current state of solid waste management in metropolitan cities of India. It emphasizes the importance of legal regulations in ensuring effective waste management to address environmental concerns. This research highlights the need for coordinated efforts among public authorities, adopting technologically advanced best practices globally, and incorporating Waste Hierarchy and Circular Economy concepts for efficient waste management. By addressing challenges like poor community engagement, understaffing, and political interference, the article underscores the significance of robust legal frameworks and strategic policies to mitigate environmental impacts and improve waste management practices in metropolitan cities. Recommendations include enhancing transparency in environmental information, establishing sustainable waste management systems, improving legislation, and promoting stakeholder engagement.

Holistic Information Security Management and Compliance Framework

The growing complexity of cybersecurity threats demands a robust framework that integrates various security domains, addressing the issue of disjointed security practices that fail to comply with evolving regulations. This paper introduces a novel information security management and compliance framework that integrates operational, technical, human, and physical security domains. The aim of this framework is to enable organizations to identify the requisite information security controls and legislative compliance needs effectively. Unlike traditional approaches, this framework systematically aligns with both current and emerging security legislation, including GDPR, NIS2 Directive, and the Artificial Intelligence Act, offering a unified approach to comprehensive security management. The experimental methodology involves evaluating the framework against five distinct risk scenarios to test its effectiveness and adaptability. Each scenario assesses the framework’s capability to manage and ensure compliance with specific security controls and regulations. The results demonstrate that the proposed framework not only meets compliance requirements across multiple security domains but also provides a scalable solution for adapting to new threats and regulations efficiently. These findings represent a significant step forward in holisticsecurity management, indicating that organizations can enhance their security posture and legislative compliance simultaneously through this integrated framework.

Strategic Innovation in Crisis Management Converting into Opportunity: A Case Study of the Dubai Government

Purpose: The conventional crisis management framework, which is characterized by predetermined protocols and reactive actions, has proven ineffective in the face of the complex circumstances of today. The Dubai Government has acknowledged this and adopted a paradigm shift toward strategic innovation, marking a break from the status quo and a readiness to accept uncertainty as a necessary step toward advancement. The strategic innovation framework used by the Dubai Government's crisis management plan will be thoroughly examined in this research. The purpose of the study is to elucidate the guiding principles that have placed this forward-thinking organization at the forefront of crisis resilience via the prism of this progressive organization. It aims to understand the mechanics of crisis management and to draw general lessons that may be used in other organizational contexts by probing the methodology, technologies, and cultural shifts that support this novel approach (Alketbi, del Rio and Fernández, 2022). Methodology: To encapsulate, this research utilizes a qualitative triangulation approach that focuses on the relationship between strategic innovation and crisis management, specifically examining the Dubai Government. By combining qualitative interviews, quantitative surveys, and content analysis, the study provides a comprehensive view of the topic, enabling a thorough investigation of the research questions and objectives. Findings: Based on prior research and global trends, the main finding is to understand the Dubai Government who has seamlessly merged innovation into its crisis management tactics. The focus is on how the Dubai Government integrates advanced technological tools and fosters a culture where challenges are viewed as opportunities for growth. For instance, the adoption of AI-based predictive analytics in crisis anticipation and response is a testament to this innovative approach. Unique Contribution to Theory, Practice and Policy: The study anticipates that these practices not only enhance crisis management effectiveness but also serve as a model for other organizations globally.

Genomics of historical museum collections clarifies species diversity in Cuban hutias (Capromys)

Abstract Specimen-based taxonomic research is essential for understanding diversity and setting management frameworks for threatened mammal faunas, and ancient DNA techniques are increasingly used to extract information from taxonomically relevant historical specimens. The largest survivors of the depleted Caribbean mammal fauna are hutias in the genus Capromys, which is usually interpreted as containing a single species, C. pilorides. Previous studies have demonstrated genetic differentiation of Capromys populations across Cuba, but infrageneric species diversity and nomenclature remain unclear. We conducted ancient DNA analysis of historical Capromys samples using cytochrome b and complete mitogenome data sets, and including the 19th-century holotypes of 2 species now considered synonyms, C. fournieri and C. geayi. Our analyses identify distinct western and central/eastern Capromys clades that diverged 1.75 Mya based upon mitogenome data. These clades are separated by the Havana–Matanzas Channel, which represented a barrier to dispersal throughout the Neogene–Quaternary. Divergence date comparisons with other hutia species provide support for interpreting divergence between Capromys populations as species-level differentiation. Although we were unable to yield amplifiable DNA from the C. fournieri holotype, our analyses confidently assign the C. geayi holotype to the western Capromys clade. We therefore recognize 2 extant Capromys species: C. geayi (western Cuba) and C. pilorides (central/eastern Cuba and Cayman Islands).

The need for a risk management framework for data science projects: a systematic literature review

Many data science endeavors encounter failure, surfacing at any project phase. Even after successful deployments, data science projects grapple with ethical dilemmas, such as bias and discrimination. Current project management methodologies prioritize efficiency and cost savings over risk management. The methodologies largely overlook the diverse risks of sociotechnical systems and risk articulation inherent in data science lifecycles. Conversely, while the established risk management framework (RMF) by NIST and McKinsey aims to manage AI risks, there is a heavy reliance on normative definitions of risk, neglecting the multifaceted subjectivities of data science project failures. This paper reports on a systematic literature review that identifies three main themes: Big Data Execution Issues, Demand for a Risk Management Framework tailored for Large-Scale Data Science Projects, and the need for a General Risk Management Framework for all Data Science Endeavors. Another overarching focus is on how risk is articulated by the institution and the practitioners. The paper discusses a novel and adaptive data science risk management framework – “DS EthiCo RMF” – which merges project management, ethics, and risk management for diverse data science projects into one holistic framework. This agile risk management framework DS EthiCo RMF can bridge the current divide between normative risk standards and the multitude of data science requirements, offering a human-centric method to navigate the intertwined sociotechnical risks of failure in data science projects.

2024 European Heart Rhythm Association/Heart Rhythm Society/Asia Pacific Heart Rhythm Society/Latin American Heart Rhythm Society expert consensus statement on catheter and surgical ablation of atrial fibrillation

AbstractIn the last three decades, ablation of atrial fibrillation (AF) has become an evidence‐based safe and efficacious treatment for managing the most common cardiac arrhythmia. In 2007, the first joint expert consensus document was issued, guiding healthcare professionals involved in catheter or surgical AF ablation. Mounting research evidence and technological advances have resulted in a rapidly changing landscape in the field of catheter and surgical AF ablation, thus stressing the need for regularly updated versions of this partnership which were issued in 2012 and 2017. Seven years after the last consensus, an updated document was considered necessary to define a contemporary framework for selection and management of patients considered for or undergoing catheter or surgical AF ablation. This consensus is a joint effort from collaborating cardiac electrophysiology societies, namely the European Heart Rhythm Association, the Heart Rhythm Society, the Asia Pacific Heart Rhythm Society, and the Latin American Heart Rhythm Society

The Role of Edge Computing in Driving Real-time Personalized Marketing: a Data-driven Business Perspective

The fast pace of marketing innovation in the digital age has sparked a growing need for instant, personalized conversations with customers. This study investigates the vital significance of edge computing in elevating real-time personalized marketing by reducing latency, improving speed of data processing, and allowing companies to quickly, data-driven decisions. Through a rigorous investigation, the research reports on the ways edge computing solves problems linked to cloud solutions, like bandwidth issues and privacy matters, providing a more effective framework for localized data management. Conducting a mixed-methods study using case studies and quantitative performance metrics, this research showcases important enhancements in consumer engagement and conversion rates amongst enterprises that have implemented edge computing for their personalized marketing efforts. Findings indicate a reduction of 30% in data transfer latency and a 25% higher level of interactions with customers in real time as a result of marketing activities made possible by the edge. The paper wraps up with a look at the innovation of this method in the face of technological innovations and presents recommendations for firms attempting to raise consumer engagement via personalized marketing approaches facilitated by edge computing.

Ethical and legal project management framework for the oil and gas industry

Ethical and legal project management framework for the oil and gas industry

Digital preservation of heritage urban facades: An integrated approach using historic building information modeling and shape grammar analysis

Traditional heritage architecture is renowned for its unique characteristics, which are shaped by local climatic, social, and construction requirements, as well as specific architectural styles that contribute to a sense of identity and place. Preserving the aesthetic and cognitive values inherent in traditional styles poses a significant challenge compared to other tangible assets. However, the digitization of built heritage offers a proactive approach to conservation. In this regard, the management of heritage building information through Building Information Modeling (BIM) plays a crucial role in preventive conservation. The utilization of multi-dimensional digital information models, known as Historic Building Information Modeling (HBIM), is one such approach. This study aims to explore the application of HBIM in representing built heritage, focusing specifically on the research gap pertaining to the need for an effective and integrated methodology for modeling information related to heritage urban facades. The objective is to generate parametric models within the framework of HBIM information management, thereby contributing to preventive preservation mechanisms. The methodology employed in this study consists of two main parts. Firstly, information is derived by analyzing the structural characteristics of heritage facades using Shape Grammar. Secondly, the acquired information is utilized to develop a comprehensive library of HBIM for heritage architectural elements. The results of this study demonstrate the proposed methodology's effectiveness in determining heritage urban facades' morphological, mathematical, relational, and Euclidean characteristics.

Analisis Keterkaitan Kualitas Pendidikan, Nilai Pelanggan di Sekolah Swasta Melalui Pendekatan Balanced Scorecard.

The use of the Balanced Scorecard method in performance measurement including determining teaching quality and customer value, allows assessment of financial aspects, customers, internal business processes, and learning and growth based on the goals that the organization has set. This measurement is based on the organization's stated goals, vision and mission. With the Balanced Scorecard, SMKN 2 Rangkasbitung obtained a comprehensive picture of its teaching quality and customer value, including the school's ability to fulfill the satisfaction of educational stakeholders. This research used a descriptive qualitative approach, with interview, observation and documentation techniques. Data analysis techniques recommended by Miles and Hubermen are data reduction, data presentation and conclusion drawing based on themes in the research. In the context of education, the Balance Scorecard serves as a guide to measuring and improving the performance of educational institutions comprehensively, and obtaining commitment from project participants and clarifying the framework for implementation and management that must be implemented after the preparation of the initial Balance Scorecad, as well as helping institutions to translate vision, mission into concrete actions through performance measurement from various perspectives and used to boost the organization's ability to multiply performance

Good vs. bad volatility in major cryptocurrencies: The dichotomy and drivers of connectedness

Cryptocurrencies exhibit unique statistical and dynamic properties compared to those of traditional financial assets, making the study of their volatility crucial for portfolio managers and traders. We investigate the volatility connectedness dynamics of a representative set of eight major crypto assets. Methodologically, we decompose the measured volatility into positive and negative components and employ the time-varying parameters vector autoregression (TVP-VAR) framework to show distinct dynamics associated with market booms and downturns. Our findings indicate that crypto connectedness reflects important events and oscillates substantially while reaching lower limit values when compared to traditional financial markets. Periods of extremely high or low connectedness are clearly linked to specific events in the crypto market and macroeconomic or monetary history. Furthermore, existing asymmetry from good and bad volatility indicates that market downturns spill over substantially faster than comparable market surges. Overall, the connectedness dynamics are driven by a combination of both crypto (momentum, on-chain activity, off-chain activity) and legacy financial and economic (financial and economic uncertainty, and financial market performance) factors, while the asymmetry is more connected to the off-chain crypto activity and the combination of economic, financial, and monetary factors. In both the total connectedness and asymmetry modeling, these can serve as hands-on indicators to be further translated into specific portfolio re-balancing decisions, risk management, and regulatory frameworks.