﻿<?xml version="1.0" encoding="UTF-8"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns="http://purl.org/rss/1.0/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:sy="http://purl.org/rss/1.0/modules/syndication/" xmlns:sciepub="http://www.sciepub.com" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:prism="http://prismstandard.org/namespaces/basic/1.2/">
  <channel rdf:about="http://www.sciepub.com/portal/Journals">
    <title>International Journal of Business and Risk Management</title>
    <link>http://www.sciepub.com/journal/IJBRM</link>
    <description><p>IJBRM is a refereed international journal that provides a professional and scholarly forum in the essential field of business continuity and risk management with particular emphasis on decision making using a multidisciplinary approach. Organisational resiliency through risk assessment, contingency planning, systems security, crisis and disaster management, and recovery planning, as well as public policy regarding infrastructure and security, are integrated in the journal's coverage.</p><p>IJBRM publishes scholarly research, methodological articles, review papers, case studies, conference reports, book reviews, educational approaches, and news. Special issues are devoted to important topics falling within the scope of business continuity and risk management.</p></description>
    <dc:publisher>Science and Education Publishing</dc:publisher>
		<dc:language>en</dc:language>
		<dc:rights>2013 Science and Education Publishing Co. Ltd All rights reserved.</dc:rights>
		<prism:publicationName>International Journal of Business and Risk Management</prism:publicationName>
		6
		1
		January 2025
		<prism:copyright>2013 Science and Education Publishing Co. Ltd All rights reserved.</prism:copyright>
    <items>
      <rdf:Seq>
        <rdf:li resource="http://pubs.sciepub.com/ijbrm/6/1/1"/>
<rdf:li resource="http://pubs.sciepub.com/ijbrm/6/1/2"/>
      </rdf:Seq>
    </items>
  </channel>
  <item rdf:about="http://pubs.sciepub.com/ijbrm/6/1/1">
<title>
Parameter Estimation and Bayesian Prediction in the Log-logistic Distribution under Type-II Censored Data
</title>
<link>http://pubs.sciepub.com/ijbrm/6/1/1</link>
<description>
<![CDATA[We consider Bayesian inference and point prediction in log-logistic distribution based on type-II censored data. We assume that the scale and shape parameters have independent gamma priors. The Bayes estimators cannot be obtained in closed form; therefore, we use Metropolis Hasting algorithm to approximate the Bayes estimates of the unknown scale and shape parameters. We compare the performance of the Bayes estimator with the Maximum Likelihood estimators. In addition, we obtained the Bayesian credibility intervals and compared them with the Wald intervals. Moreover, we derived Bayesian point and interval predictors for future observation and investigated their performance using simulation techniques. And finally, we analysed real data set for illustration purposes.]]>
</description>
<dc:creator>
Wassim  Abou Ghaida, Ayman  Baklizi
</dc:creator>
<dc:date>2025-11-04</dc:date>
<dc:publisher>Science and Education Publishing</dc:publisher>
<prism:publicationDate>2025-11-04</prism:publicationDate>
<prism:number>1</prism:number>
<prism:volume>6</prism:volume>
<prism:startingPage>11</prism:startingPage>
<prism:endingPage>18</prism:endingPage>
<prism:doi>10.12691/ijbrm-6-1-1</prism:doi>
</item>
<item rdf:about="http://pubs.sciepub.com/ijbrm/6/1/2">
<title>
Draft Business Continuity and Disaster Recovery Plan with Strategic Recommendations for a Newly Proposed Government Agency: A Case Study
</title>
<link>http://pubs.sciepub.com/ijbrm/6/1/2</link>
<description>
<![CDATA[This paper presents a practical draft plan for Business Continuity (BC) and Disaster Recovery (DR) for a newly proposed government agency in the Republic of North Macedonia. The case study evaluates continuity options and provides managerial and technical recommendations aligned with the agency’s mandate to handle sensitive public-sector data. The framework integrates Risk assessment, Business Impact Analysis (BIA), and implementation guidance consistent with international best practices and local administrative requirements. Essential information systems, critical functions, and disruption scenarios are identified to ensure service continuity and data protection. Alternative data-center strategies-on-premises, cloud-based, hybrid, and commercial co-location-are compared, and operational procedures for recovery and resilience are defined. Key components include organizational roles, business processes, training and testing cycles, and IT infrastructure recommendations for primary and backup sites. Based on technical, economic, and national ICT conditions, the preferred approach is agency-owned equipment in professionally operated co-location facilities, with continuity operations managed internally. Findings indicate that instituting BC/DR early in the agency lifecycle enhances resilience, reduces downtime risk, and supports trustworthy public services. The work adapts established templates to the Macedonian context and offers actionable guidance for IT managers, infrastructure planners, and engineers engaged in public-sector digital transformation and resilience initiatives in Southeast Europe.]]>
</description>
<dc:creator>
Mile  Mirchevski, Jana  Mirchevska
</dc:creator>
<dc:date>2025-12-07</dc:date>
<dc:publisher>Science and Education Publishing</dc:publisher>
<prism:publicationDate>2025-12-07</prism:publicationDate>
<prism:number>1</prism:number>
<prism:volume>6</prism:volume>
<prism:startingPage>19</prism:startingPage>
<prism:endingPage>29</prism:endingPage>
<prism:doi>10.12691/ijbrm-6-1-2</prism:doi>
</item>
</rdf:RDF>