Organizational Networks Research Articles

A qualitative reflexive thematic analysis of innovation and regulation in hearing health care

BackgroundThe hearing health sector is an example of a health sector that is experiencing a period of rapid innovation driven by digital technologies. These innovations will impact the types of interventions and services available to support the communication of deaf and hard-of-hearing individuals. This study explored the perceptions of informed participants on the topic of innovation and regulation within hearing healthcare in Australia and the United Kingdom (UK).MethodsParticipants (N = 29, Australia [n = 16], UK [n = 13]) were purposively sampled and joined one of two online workshops. Participants included adults with hearing loss and family members, hearing health professionals, academics/researchers, representatives of hearing device manufacturers, regulators and policymakers. Workshop data were analysed using reflexive thematic analysis.ResultsParticipants conceptualised the hearing health sector as a network of organisations and individuals with different roles, knowledge and interests, in a state of flux driven by innovation and regulation. Innovation and regulation were perceived as mechanisms to ensure quality and mitigate risk within a holistic approach to care. Innovations encompassed technological as well as non-technological innovations of potential benefit to consumers. Participants agreed it was essential for innovation and regulation to be congruent with societal values. Critical to ethical congruence was the involvement of consumers throughout both innovation and regulation stages, and the use of innovation and regulation to tackle stigma and reduce health disparities. Participants expressed the desire for accessible and inclusive innovation in the context of fair, transparent and trustworthy commercial practices.ConclusionsThis study explored how stakeholders within the hearing health sector understand and make sense of innovation and the role of regulation. Overall, and despite reservations relating to health care professionals’ changing roles and responsibilities, innovation and regulation were conceptualised as beneficial when situated in the context of holistic, whole-person, models of care. The results of this study will inform considerations to support the development and implementation of innovations and regulation within the hearing sector and across other health sectors influenced by technological advances.

Effect of chitosan on thermal gelling properties of pork myofibrillar protein and its mechanism.

Previous studies have demonstrated that the addition of chitosan can improve the quality and functional properties of meat products. However, the underlying mechanism remains unclear. In this study, the effect and mechanism of the addition of chitosan on the gel properties of myofibrillar protein (MP) were investigated. The results indicated that the gel strength and the water-holding capacity of MP-chitosan gel increased significantly when chitosan was added at 2.5-10 mg mL-1. Myofibrillar protein samples with 10 mg mL-1 added chitosan exhibited the highest elasticity and viscosity during gel formation and strengthening. The addition of chitosan also caused a modification in both the secondary and tertiary structure of MP, resulting in an enhanced exposure of hydrophobic and sulfhydryl groups in comparison with the control. Chitosan inhibited the conversion of immobilized water into free water and the formation of water channels during the thermal gelation process of MP. The denaturation enthalpy (ΔH) of myosin decreased as the concentration of chitosan exceeded 5 mg mL-1. The microstructure showed that the incorporation of chitosan (5-10 mg mL-1) facilitated the formation of compact and well organized MP gel networks. The addition of chitosan can enhance the functional properties of meat protein and facilitate heat-induced gelation, making it a promising ingredient for improving the quality of processed meat products. © 2024 Society of Chemical Industry.

Spa Center as the Economic Engine of the Municipal Business Ecosystem: Case of Banja Koviljača Organizational Network

This paper addresses the role of the Spa Health Resort as the Economic Engine of the Mu-nicipal Business Ecosystem. Usualy a single larger enterprise drives the local economy at the municipal level, and in the case of Serbia that company has often been from heavy in-dustries. For many transitional economies, local communities have been supported by the main municipal organization, identified in the literature under the terms economic engine, anchor, driver, powerhouse, catalyst, hub or lifeline. Most literature defines it as a compa-ny that plays a pivotal role in propelling municipal economic growth and development, acting as the source of economic stability and resilience within the municipality. Our re-search is based on dataset gathered from the Serbian Chamber of Commerce, extracted from the annual financial and business reports of 80,737 companies and sole entrepre-neurs in Serbia from 2013 to 2022 and supplemented by detailed insights into business reports of hypothesized economic engine. Our findings support the hypothesis that Spe-cialized Rehabilitation Hospital Banja Koviljaca's acts as economic engine for the region. Conclusion is that investment in balneo industry returns mutlifold benefits of different categories to the community and the state.

NOVEL STUDY ON ETHICAL HACKING AND VULNERABILITY TESTING

Ethical hacking and vulnerability testing represent critical components of modern cybersecurity strategies, aimed at proactively identifying and mitigating potential security threats within organizational systems and networks. Ethical hacking, also known as penetration testing, involves authorized attempts to exploit vulnerabilities in systems, applications, or networks, mirroring the tactics of malicious actors. This proactive approach allows organizations to uncover weaknesses before they are exploited by cybercriminals, thereby strengthening overall security posture. Vulnerability testing complements ethical hacking by systematically assessing systems for known vulnerabilities and configuration errors, providing insights into areas requiring remediation. Together, these practices enable organizations to assess, prioritize, and address security risks effectively, safeguarding sensitive data, maintaining regulatory compliance, and preserving business continuity. This article explores the principles, methodologies, and benefits of ethical hacking and vulnerability testing, emphasizing their role in enhancing cybersecurity resilience in an increasingly interconnected digital landscape. Keywords: Cybersecurity, Ethical Hacking, Mitigation, Networks, Penetration Testing, Security Threats, Systems, Testing, Vulnerabilities.

Theoretical insights into the diverse stabilizing effects of fenchyl alcohol/thymol eutectic solvent on carotenoids

Carotenoids, a class of vital natural pigments, are known for their antioxidant properties and are integral to various industrial applications. However, their instability during processing and storage has limited their broader utilization. This study investigated the stabilizing effects of a fenchyl alcohol/thymol-based deep eutectic solvent (DES) on a spectrum of carotenoids, including lutein, zeaxanthin, astaxanthin, and β-carotene. Through a combination of ab initio molecular dynamics (AIMD) simulations and quantum chemical calculations, we elucidated the molecular interactions and stabilization mechanisms within the DES environment (methanol as the benchmark). Our findings reveal that the DES could exert varying degrees of influence on the stability of different types of carotenoids. The temperature-dependent behavior of carotenoids in the DES suggested a complex interplay between hydrogen bonding, dispersion forces, and the inherent structural properties of carotenoids. AIMD simulations provided a detailed picture of the structural organization and hydrogen bond network topology within the DES, highlighting the role of temperature on the stability and orientation of solvent molecules around carotenoids. Energy decomposition analysis (EDA), Hirshfeld surface analysis, and visual study of interactions further dissected the non-covalent interactions, emphasizing the significance of electrostatic and dispersion forces-driven non-covalent interactions (van der Waals dispersion interactions) in stabilizing carotenoids within the DES matrix. In comparison to methanol, the interactions between components of the eutectic system and the target molecules demonstrate enhanced dynamism, increased complementarity, and a greater variety of interaction patterns. This research presented a novel perspective on the use of DESs for the stabilization of carotenoids, offering potential solutions to enhance their industrial applicability and performance. The insights gained from this study are crucial for the development of sustainable and eco-friendly solvent systems, aligning with the growing demand for green chemistry in the pharmaceutical, cosmetic, and food industries.

Multiplexed spatial mapping of chromatin features, transcriptome, and proteins in tissues.

The phenotypic and functional states of a cell are modulated by a complex interactive molecular hierarchy of multiple omics layers, involving the genome, epigenome, transcriptome, proteome, and metabolome. Spatial omics approaches have enabled the capture of information from different molecular layers directly in the tissue context. However, current technologies are limited to map one to two modalities at the same time, providing an incomplete representation of cellular identity. Such data is inadequate to fully understand complex biological systems and their underlying regulatory mechanisms. Here we present spatial-Mux-seq, a multi-modal spatial technology that allows simultaneous profiling of five different modalities, including genome-wide profiles of two histone modifications and open chromatin, whole transcriptome, and a panel of proteins at tissue scale and cellular level in a spatially resolved manner. We applied this technology to generate multi-modal tissue maps in mouse embryos and mouse brains, which discriminated more cell types and states than unimodal data. We investigated the spatiotemporal relationship between histone modifications, chromatin accessibility, gene and protein expression in neuron differentiation revealing the relationship between tissue organization, function, and gene regulatory networks. We were able to identify a radial glia spatial niche and revealed spatially changing gradient of epigenetic signals in this region. Moreover, we revealed previously unappreciated involvement of repressive histone marks in the mouse hippocampus. Collectively, the spatial multi-omics approach heralds a new era for characterizing tissue and cellular heterogeneity that single modality studies alone could not reveal.

Оценка развитости узлов и тесноты связи креативной сети в региональной локализации

The relevance of the study is due to the need to obtain comprehensive ideas about the specifics of regional localization of creative industries, the functioning of which is based on close connections between organizations that form a creative product and organizations that promote the distribution of a creative product. The article aims to assess the development of nodes and the connectivity density of a creative network within a regional localization context. The research methodology includes the use of statistical data processing methods, as well as comparative and correlation analysis. By examining the connectivity between nodes in the creative network of organizations operating in the performing arts sector and those in the field of artistic creation, the study concludes that the connections are predominantly strong. This is attributed to the high degree of regional localization among organizations producing and promoting creative products. These findings highlight the significant role of regional development tools in fostering this creative network, particularly through the implementation of organizational and financial support measures.

The Governance of Territorial Networks of Organisations: Case of the Tangier-Tetouan-Al Hoceima Region

This work focuses on the governance of territorial networks of organizations in the Tangier-Tetouan-Al Hoceima region in Morocco. By examining this specific case, we seek to understand how regional governance structures influence collaboration and coordination between organizations operating in this territory. To understand this subject in depth, it is crucial to look at the governance of territorial networks of organizations, drawing inspiration from both international experiences and the specificities of the Moroccan context. Our research is based on a descriptive literature review beginning by defining the foundations of the governance of territorial networks, including the conceptualization of the term, their typological diversity, and their different forms. Then, by examining international experiences in governance, through the study of cases such as that of France, Italy, the Basque Countries, and the German model. Finally, by tracing the history of the development of territorial networks of organizations in Morocco, while highlighting the needs, trends, and potential of each of the entities making up the clusters.

Shadows of fear: Extortion and protection racketeering amidst organized crime in South Africa

This paper investigates organized crime networks that engage in extortion and protection racketeering in South Africa. Due to socio-economic hardships and weak institutional frameworks, criminals have employed fear and violence as a means to gain control over local communities and businesses illegally. The study employed a literature analysis of scholarly materials such as peer-reviewed journals, books, and reports by law enforcement agencies and nongovernmental organizations among others to gather knowledge on extortion and protection racketeering in organized crime in South Africa. The study examines the operational strategies and impacts of organised crime networks on extortion and protection racketeering on local economies as well as public safety. The findings review that there is an all-pervasive culture of fear which underlies blackmailing as well as racketeering activities thereby increasing the vulnerability of communities while undermining social cohesion. The paper concludes by recommending policies meant to improve law enforcement capability and community resilience against this threat on communities.

The CanPath-HDRN Canada Collaboration: Enabling Multi-jurisdictional Research in Canada

ObjectiveTo highlight the partnership between the Canadian Partnership for Tomorrow’s Health (CanPath) and Health Data Research Network (HDRN Canada), which enables researchers to link CanPath’s health and lifestyle survey data to health records and related data across multiple regions. BackgroundCanPath is a population health study of over 350,000 Canadians from seven regional cohorts across all ten provinces, making it one of the world's largest population cohorts. HDRN Canada is a network of member organizations, including provincial, territorial, and pan-Canadian data centres. ApproachThis partnership leveraged collective expertise and resources to facilitate the linkage of CanPath’s harmonized data to multi-regional health and health-related administrative data held at HDRN Canada’ s data centres. Researchers can access these data for multi-regional projects through HDRN Canada’s Data Access Support Hub, which provides a single access portal. ResultsResearchers were able to successfully link CanPath’s survey data to provincial administrative health data. The collaboration’s streamlined process for data access enhances efficiency and facilitates pan-Canadian population health research. ConclusionThis collaboration demonstrates the feasibility and value of linking population health datasets while demonstrating the challenges and opportunities associated with accessing national administrative health data within a federated health data system. ImplicationsThe partnership between CanPath and HDRN Canada has significant implications for advancing population health research in Canada. By providing researchers with access to linked data from diverse sources, the partnership enables comprehensive investigations into health determinants, disease patterns, and clinical outcomes. This enhances the scope and depth of population health research in Canada, thereby leading to a better understanding of the most pressing health challenges.

Development of a dictionary of information items inspired by common data models to support health research data access requests

A network of organizations collaborates to provide services to facilitate multi-regional research across Canada. To streamline the data access process, the network is developing a dictionary of information items (InfoItems), providing a label and definition that represent a semantic sourced from an ontology (e.g., “human birth date” from a demography ontology). This allows for a standardized and shareable means to express data requirements. Inspired by health-research common data models (CDMs) like those from the Observational Medical Outcomes Partnership (OMOP) and the Canadian Network for Observational Drug Effects (CNODES), approximately 60 InfoItems were developed by the network. As a pilot exercise, four data centres mapped their data assets to the InfoItems to ensure they are relevant to the Canadian health data context. This has laid the foundation for InfoItems as a basic data harmonization mechanism. The new InfoItems-based data dictionary promotes the standardization of data asset contents across the network’s data centres. Researchers can use the dictionary to specify a project’s data requirements, establishing details like data availability across multiple regions, for inclusion in their data access request. The InfoItems dictionary is pivotal in simplifying data access requests, promoting multi-regional research in Canada. This resource can simultaneously safeguard the quality of analytical results and optimize data extraction into existing data models (e.g., health-research CDMs). Ongoing improvements in this area aim to enhance user experience and facilitate quality research.

How DASH enables external data linkage to support multi-regional research

A network of organizations works together to support multi-regional health research across Canada. The network comprises 13+ provincial/territorial and pan-Canadian data centres, which collectively hold 500+ data assets. Although the network actively pursues new administrative or clinical data assets, linking to external research data is also a growing need in the contemporary research landscape. Data from the network’s centres can be linked to external data sources such as that from: researchers’ trials or studies; disease or population-based registries; and data sources from other organizations or custodians. Consultations held with data centers clarified their processes for linking to external data, by identifying and mapping local linkage features to a general linkage model. Local processes for data linkage, including necessary agreements and approval steps are now modelled and documented, and available to researchers and the data centres as a resource. This information helps streamline data access and linkages to data assets across the network and externally. Operationally, the network is currently working on 11 data access requests involving linkage to external data, of which three are expected to deliver final data to researchers by spring 2024. Collaboration with data centres, affiliated organizations, and researchers are foundational in the development of linkage models across the network. These models play a critical role in making linkages across data sources within Canada more efficient and standardized. Data linkages across data assets support the utility of data and health innovation.

Development of a framework to facilitate a data assembly plan for multi-regional research

A network of organizations works together to facilitate multi-regional research across Canada. This network is streamlining the traditionally burdensome data access process, a major part of which is a project’s data assembly plan (DAP). A framework is proposed for the development of a DAP usable by researchers and multiple data centres across Canada. The network of 13 provincial/territorial and pan-Canadian data centres collaborated to understand variations in data request processes and local requirements. During this collaboration, partners used an iterative approach to review local forms, processes, and undertake consultations with the research community, and to identify critical components of the DAP. In April 2022, the network launched the centrally provisioned, standardized DAP form, which to date has been deployed by approximately five projects. Users have found the DAP’s unique aggregation and documentation capabilities particularly helpful. Overall, the preliminary feedback from researchers has been positive. The DAP has allowed aggregation of specific details about a project’s data requirements: cohort definition(s), data extraction(s) and analytical plans, in a single unified form. The DAP is an important component in streamlining the process for requesting data from multiple provinces/territories, organizations, and data sources. The DAP has ensured consistency across the network’s data centres that are providing data, supporting data linkage, and helping safeguard the quality of analytical results. Further process improvements are anticipated to address user experience feedback and to promote quality research.

Barriers to Care After Intimate Partner Violence Acquired Brain Injury: Current Systems Silence Survivors and Providers.

A qualitative meta-synthesis was conducted to answer the following question-What barriers are experienced by survivors of intimate partner violence and service providers when seeking or providing resources or care after experiencing brain injury (BI)? This approach was completed through 2 main phases-a systematic search and literature appraisal and reciprocal translation with interpretive triangulation of the extracted data. The databases searched were PubMed, CINAHL, and PsycInfo. The initial search yielded 559 articles. The final synthesis included 16 articles for the qualitative meta-synthesis. After data extraction, a qualitative exploratory design evaluated the experiences of survivors and service providers when connecting with resources. The findings highlight larger systemic barriers preventing smooth relationships between survivors and providers. Survivor barriers include risk-driven safety mechanisms and a lack of awareness and understanding of BI. Provider barriers are a lack of clarity within providers' scope and training limitations, diagnosis complexity, first responder's initial response to survivors, lack of open discussion, screening limitations, financial barriers, infrastructure barriers, and lack of resources. Systemic barriers include stigmatization, BI symptoms mistaken as other diagnoses like mental health, access and awareness of resources, and navigation of complex systems. This qualitative meta-synthesis demonstrates that survivors and providers face multiple individual and systemic barriers when seeking and providing resources after BI. Future research is needed to understand survivors' help-seeking behaviors and assistance needs and providers' education about BI and organizational relationships and networks. Recommendations are made for future research to understand how to reduce barriers for providers working with survivors, from trauma-informed education and communication to connecting with resources, where to concentrate, and initiatives for collaboration to increase the network of resources yet improve its accessibility.

A conceptual framework for the government big data ecosystem (‘datagov.eco’)

The public sector, private firms, and civil society constantly create data of high volume, velocity, and veracity from diverse sources. This kind of data is known as big data. As in other industries, public administrations consider big data as the “new oil" and employ data-centric policies to transform data into knowledge, stimulate good governance, innovative digital services, transparency, and citizens' engagement in public policy. More and more public organizations understand the value created by exploiting internal and external data sources, delivering new capabilities, and fostering collaboration inside and outside of public administrations. Despite the broad interest in this ecosystem, we still lack a detailed and systematic view of it. In this paper, we attempt to describe the emerging Government Big Data Ecosystem as a socio-technical network of people, organizations, processes, technology, infrastructure, standards & policies, procedures, and resources. This ecosystem supports data functions such as data collection, integration, analysis, storage, sharing, use, protection, and archiving. Through these functions, value is created by promoting evidence-based policymaking, modern public services delivery, data-driven administration and open government, and boosting the data economy. Through a Design Science Research methodology, we propose a conceptual framework, which we call ‘datagov.eco’. We believe our ‘datagov.eco’ framework will provide insights and support to different stakeholders’ profiles, including administrators, consultants, data engineers, and data scientists.

A modified CNN-IDS model for enhancing the efficacy of intrusion detection system

As the security of computer networks in enterprises worldwide is dependent on the proper functioning of intrusion detection systems (IDSs) and intrusion prevention systems (IPSs), this effectiveness of both of them is of utmost priority. Leveraging diverse techniques, these network security systems are created to keep the reliability, the availability, and the integrity of the organizational networks safe. One plus point of using ML in intrusion detection system (IDS) is that it has successfully weeded out all the IDS attacks with a high degree of accuracy. In contrast, such systems may be believed to operate to their least competent levels when supersized data spaces have to be dealt with. In the process to solve this, application of feature selection techniques will play the crucial role to ignore non-relevant features which do not impact the issue of classification much. One more thing to keep in mind is that the ML-based IDSs often have problems with high false alarms and percentage accuracy because of the imbalanced training sets. The undertaking of this paper involves a through the analysis of the UNSW-NB15 intrusion detection data set as upon which our models will be tested and trained. We utilize two feature selection approaches: the PCA method, which is denoted as PCA, and the SVD method, called SVD. Furthermore, we categorize the datasets using these methods— Ridge Regression (RR), Stochastic Gradient Descent, and Convolutional Neural Network (CNN)-- on the transformed feature space. What is the most widely used for, is that it deals with both, binary and multiclass classification. The result measure that PCA and SVD are succeeded in getting better performance of IDS than others with enhancing the accuracy of classification models. More specifically, the RR classifier's precise was outstanding for the binary classification problem experiencing a rise in the accuracy from 98.13 % to 99.85 %. This shows the critical role of feature selection approaches and is also demonstrates the modeling capabilities of RR, SGD, and CNN classifiers and stands out as a solution to intrusion detection.

A Study of the Influence of Religious and Nationalist-Based Political Parties in the Compilation of Legal Products Based on Legal Regulations

The ideology of political parties is divided into four categories: parties with Islamic ideology, secular nationalist ideology, religious nationalist ideology, and parties with Christian ideology. The regeneration process will bring out prospective leaders who have been tested in carrying out organisational work or society, and then the emerging decisions will be directed at achieving the goals of the country. These party cadres make a reflection of political parties related to ideology, which is expected to make policies in accordance with ideology, through being regional leaders. The research method used is sociological juridical with a qualitative descriptive analysis approach to obtain the answers to the problems studied, supported by secondary data and other data. When referring to the party principles owned by each political party, in general, political parties are based on three ideologies: Islam, Nationalism and Democratic Socialism. Political parties have an obligation to be able to build their own capacity; therefore, they have sufficient capability to fulfill what has been mandated by law. The fading of ideology has weakened the ties between political parties and their members, which in turn has resulted in the weakness of organisational networks. This condition leads the political parties to face an extreme dilemma. The way to collect party funds is by making policies that benefit certain parties. However, with transactional politics, the policies taken are not pro-people. The importance of the party's stand in policymaking is marked by their close relationship with elected and appointed political officials. For this reason, the party can see its role and influence in public policy using organisational theory. This fact shows that political parties are a more powerful element in the policy-making process than they should be.

Updating and calibrating the Real-World Progression In Diabetes (RAPIDS) model in a non-Veterans Affairs population.

To present the Real-World Progression In Diabetes (RAPIDS) 2.0 Risk Engine, the only simulation model to study the long-term trajectories of outcomes arising from dynamic sequences of glucose-lowering treatments in type 2 diabetes (T2DM). The RAPIDS model's risk equations were re-estimated using a Least Absolute Shrinkage and Selection Operator (LASSO)-based regularization of features that spanned baseline data from the last two quarters of current time and interactions with age. These equations were supplemented with estimates for the impact of dipeptidyl peptidase-4 inhibitors, glucagon-like peptide-1 receptor agonists, and sodium-glucose cotransporter-2 inhibitor classes of drugs as monotherapies and their combinations with metformin based on newer trial data and comprehensive meta-analyses. The probabilistic RAPIDS 2.0 model was calibrated (N = 25 000) and validated (N = 263 816) using electronic medical records (EMR) data between 2008 and 2021 from a national network of US healthcare organizations. The EMR-based cohort had a mean age of 61 years at baseline, with 50% women, 70% non-Hispanic White individuals and 20% non-Hispanic Black individuals, and was followed for 17.5 quarters (range: 3-50). The final RAPIDS 2.0 risk engine accurately predicted the long-term trajectories of all nine biomarkers and nine outcomes in the hold-out validation sample. Similar accuracies in predictions were observed in each of the 14 subgroups studied. The RAPIDS 2.0 model demonstrated valid long-term predictions of outcomes in individuals with T2DM in the United States as a function of dynamic sequences of treatment use patterns. This highlights its potential to project long-term comparative effectiveness between alternative sequences of glucose-lowering treatment uses in the United States.

Applied Crop Production Research Across the Canadian Prairies

AbstractThere is world‐class government and academic research conducted throughout the Canadian Prairies. To adapt government and academic research to local growing environments, there is a broad network of organizations across Alberta, Saskatchewan, and Manitoba that conduct applied research and demonstrations. This article provides an overview of the provincial networks and highlights one organization from each province to showcase the value of applied research that is being conducted across western Canada.

Controlling user access with scripting to mitigate cyber-attacks

With the growing threats in the dynamic digital landscape, organizations are grappling with the difficult task of managing cyber-attacks by restricting user accessibility to most communication systems. This study aimed to develop a Linux script as a proactive response to the growing of cyber-attacks in organizational settings to prevent attacking vectors based on user negligence. The primary objective was to devise inventive solutions through script automation to restrict user access to the organizational network within predefined time frames, thereby mitigating potential cyber threats. The criteria used to define predefined time frames for user access, include the restriction of users on off duty times, The scripting seeks to address cyber-attacks targeted such as cross-site scripting (XSS) and SQL injection. To achieve the goal of this paper, the necessary steps and logic required to develop the scripts were taken. For instance, there are several suitable languages such as Bash, Python, or Perl, that can be used to write script. The paper selected Bash because it excels at scripting existing command-line tools and utilities, making it a great choice for automating tasks by using Vim text editor tool. The final scripts were run, some errors were identified, and modified as needed to ensure it worked correctly. This phase was necessary to improve the script's performance, readability, and maintainability by refining code, using efficient algorithms, by incorporating best practices. Finally, the various user inputs and scenarios were deployed to put the script into production for user access management. The adopted script metrics deployed such as Script Execution Time, Resources Utilization, Success Rate and Error Rate helped in evaluating the performance, efficiency, and effectiveness of the scripts. The implementation of the script achieved an executive time of 0.032 s, success rate was 1 and error rate was 0. The practical implementation in organizations can be scaled up or down depending on the organization's size and infrastructure. The compatibility of the developed Linux script with different operating systems, hardware platforms and network architectures will have no impact in adapting to various organizational environments. The script did not show any challenges, but real-world deployment may exhibit some potential challenges and limitations that may be associated with implementing the solution, such as resource constraints and legacy system compatibility.