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<article xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" article-type="research-article" xml:lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher">Arab Journal of Administration</journal-id>
      <journal-title-group>
        <journal-title>The Arab Journal of Administration</journal-title>
      </journal-title-group>
      <issn pub-type="ppub">1110-5453</issn>
      <issn pub-type="epub">2663-4473</issn>
      <publisher>
        <publisher-name>League of Arab States, Arab Organization for Administrative Development</publisher-name>
        <publisher-loc>Cairo, Egypt</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.21608/aja.2022.177171.1361</article-id>
      <article-id pub-id-type="publisher-id">863</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>The Implications of the Russian–Ukrainian Conflict Crisis on Management Accounting Practices in Reducing Supply Chain and Logistics Risks</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author" corresp="no">
          <name>
            <surname>Abdel Halim</surname>
            <given-names>Abeer M. M.</given-names>
          </name>
          <aff-alternatives>
            <aff id="aff1">
              <institution content-type="dept">Department of Business Information Systems</institution>
              <institution content-type="faculty">Faculty of Management Technology &amp; Information Systems</institution>
              <institution content-type="university">Port Said University</institution>
              <country country="EG">Egypt</country>
            </aff>
            <aff id="aff2">
              <institution content-type="dept">Department of Accounting</institution>
              <institution content-type="college">Applied College</institution>
              <institution content-type="university">King Faisal University</institution>
              <country country="SA">Kingdom of Saudi Arabia</country>
            </aff>
          </aff-alternatives>
        </contrib>
      </contrib-group>
      <pub-date pub-type="epub">
        <day>26</day>
        <month>01</month>
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="ppub">
        <day>28</day>
        <month>01</month>
        <year>2026</year>
      </pub-date>
      <history>
        <date date-type="received">
          <month>11</month>
          <year>2022</year>
        </date>
        <date date-type="accepted">
          <month>12</month>
          <year>2022</year>
        </date>
      </history>
      <volume>46</volume>
      <issue>1</issue>
      <fpage>123</fpage>
      <lpage>146</lpage>
      <permissions>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by-nc/4.0/">
          <license-p>This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).</license-p>
        </license>
      </permissions>
      <abstract>
        <p>The study examines the role of management accounting practices in supply chain risk management under high-risk conditions and their impact on firm performance. The research is applied in the Saudi context, drawing on data from a community of 210 listed companies across multiple economic sectors in 2021, with a focused sample of 82 firms in energy, basic materials, capital goods, and consumer goods—large-cap, labor-intensive firms likely to possess risk management plans, business maps, and multiple performance metrics. Data were collected via electronic questionnaires (149 usable responses; effective response rate 74%). A structural model clarified expected paths between independent and dependent variables and was tested using several statistical methods. Key findings show a positive impact of the proposed management accounting practices for supply chain risk management—when integrated with strategic management accounting—on supply chain risk management performance and overall corporate performance (financial and non-financial measures).</p>
      </abstract>
      <kwd-group kwd-group-type="author">
        <kwd>Russian–Ukrainian conflict</kwd>
        <kwd>Management accounting practices</kwd>
        <kwd>Supply chain risk management</kwd>
        <kwd>Corporate performance</kwd>
      </kwd-group>
    </article-meta>
  </front>

  <body>
    <sec id="sec-intro">
      <title>Introduction</title>
      <p>As the world was emerging from the negative economic effects of the Covid-19 pandemic, it was confronted by the Russian–Ukrainian conflict and its ensuing political crises and severe economic decisions, which affected not only the parties to the conflict but most of the world. A key harm to economic organizations has been renewed supply chain risks after the Covid-19 shock: many firms lost sources of supply—especially raw materials—from Russia and Eastern Europe and were forced to seek local or regional alternatives.</p>
      <p>The immediate impact on supply chains was a sharp rise in commodity prices, notably gasoline and diesel. Firms worldwide found themselves compelled to locate alternative raw materials and labor sources to keep pace with demand. Efficio (December 2022) highlighted five main impacts on supply chains: (1) global commodity prices will continue rising; (2) search for alternative supply sources; (3) labor shortages; (4) production and import stoppages; and (5) risk management is no longer optional.</p>
      <p>Given these disruptions, firms need greater transparency in planned transport, capacities, and alternative modes, and must build strategic relationships and join alliances to secure capacity. In a time of continual volatility, firms cannot rely on outdated information or single freight forwarders.</p>
      <p>The conflict has escalated supply chain disruption and concerns over critical business services. Organizations must be proactive, anticipate scenario evolution, and assess alternative sources, production changes, and sourcing strategies to diversify supply chain inputs. Strategic supplier risk assessments and full evaluations of labor and inventory levels are essential to enable proactive (preventive) actions rather than reactive responses.</p>
    </sec>

    <sec id="sec-problem">
      <title>Problem Statement</title>
      <p>Supply management strategies and their underlying accounting and quantitative information require urgent change to face supply risks under emergencies such as Covid-19 and the Russian–Ukrainian war. Current supply chain cost management models are often short-term and functionally focused, prioritizing short-term cost reductions over long-term value. This narrow lens limits tracking and evaluating risks and thus impairs performance when dealing with supplier replacement, outsourcing, supplier refinancing, and inventory changes.</p>
      <p>Firms should not focus solely on supply chain cost control during disruptions (pandemics, recessions, geopolitical shifts); rather, the interplay among resources and diverse communication networks should become a priority over mere cost-cutting.</p>
      <p>Key question: What is the role and mechanism of management accounting in managing supply chain risks (e.g., pandemics, wars, economic sanctions, and other global crises), mitigating their negative effects, and creating added value to achieve competitive advantage?</p>
    </sec>

    <sec id="sec-literature">
      <title>Prior Studies and Theoretical Framework</title>
      <p><italic>Lindqvist &amp; Gladh (2019)</italic> developed an AHP-based matrix tool using quality, people, delivery, cost variance, flexibility, and information risk to relate risk and cost across product flow paths in a case company. Generalizability was not tested.</p>
      <p><italic>Charifzadeh &amp; Taschner (2020)</italic> defined risk as negative deviation from target owing to unexpected developments; management accounting provides risk information, and collaborative approaches across supply chain partners reduce overall vulnerability.</p>
      <p><italic>Thrane &amp; Hald (2015)</italic> explored links between supply chain strategy and management accounting, highlighting strategic fit and the mediating role of supply chain relationship structure; misfit can harm performance and competitiveness.</p>
      <p><italic>Grant, Tayles, &amp; Jamal (2019)</italic> found positive direct relationships between supply chain management practices (SCMP) and management accounting practices (MAP), and between both and supply chain performance; organizational performance was indirectly affected via supply chain performance.</p>
      <p><italic>Kovacevic &amp; Atik (2020)</italic> noted few studies on sustainable supply chain management’s implications for management accounting, despite roles in costing sustainable products, assessing input cost/quality, supplier risk evaluation, cost models for sustainable production, and performance measurement (economic, environmental, social).</p>
    </sec>

    <sec id="sec-hypotheses">
      <title>Research Hypotheses</title>
      <p>The study posits direct and indirect effects between management accounting practices and firm performance under elevated supply chain risk:</p>
      <list list-type="order">
        <list-item>
          <p><bold>H1</bold>: Strategic management accounting practices (SMAP) affect firm performance under high supply chain risk.</p>
          <list list-type="order">
            <list-item><p><bold>H1a</bold>: SMAP affect supply chain risk management performance (SCRPER).</p></list-item>
            <list-item><p><bold>H1b</bold>: SMAP affect firms’ financial performance.</p></list-item>
            <list-item><p><bold>H1c</bold>: SMAP affect firms’ non-financial performance.</p></list-item>
          </list>
        </list-item>
        <list-item>
          <p><bold>H2</bold>: Management accounting practices related to supply chain management (SCMAP) affect firm performance under high supply chain risk.</p>
          <list list-type="order">
            <list-item><p><bold>H2a</bold>: SCMAP affect SCRPER.</p></list-item>
            <list-item><p><bold>H2b</bold>: SCMAP affect financial performance.</p></list-item>
            <list-item><p><bold>H2c</bold>: SCMAP affect non-financial performance.</p></list-item>
          </list>
        </list-item>
        <list-item>
          <p><bold>H3</bold>: Management accounting practices related to supply chain risk management (SCRMAP) affect firm performance under high supply chain risk.</p>
          <list list-type="order">
            <list-item><p><bold>H3a</bold>: SCRMAP affect SCRPER.</p></list-item>
            <list-item><p><bold>H3b</bold>: SCRMAP affect financial performance.</p></list-item>
            <list-item><p><bold>H3c</bold>: SCRMAP affect non-financial performance.</p></list-item>
          </list>
        </list-item>
        <list-item><p><bold>H4</bold>: Supply chain risk management practices (SCRMP) affect SCRPER.</p></list-item>
        <list-item><p><bold>H5</bold>: SCRPER affects overall firm performance.</p></list-item>
      </list>
    </sec>

    <sec id="sec-significance">
      <title>Significance</title>
      <sec>
        <title>Theoretical significance</title>
        <p>The topic is relatively recent with scarce research—particularly in Arabic—on management accounting mechanisms for managing supply chain risks to enhance added value. The study reviews related literature to build its theoretical framework.</p>
      </sec>
      <sec>
        <title>Practical significance</title>
        <p>The study seeks to improve the use of management accounting mechanisms in managing supply chain risks and selecting optimal alternatives to maximize added value during global emergencies.</p>
      </sec>
    </sec>

    <sec id="sec-objectives">
      <title>Objectives</title>
      <list list-type="bullet">
        <list-item><p>Identify and assess supply chain risks under current global conditions.</p></list-item>
        <list-item><p>Highlight the importance of management accounting mechanisms in managing supply chain risks.</p></list-item>
        <list-item><p>Develop management accounting strategies for evaluating supply chain risks and choosing best alternatives to mitigate negative effects.</p></list-item>
      </list>
    </sec>

    <sec id="sec-definitions">
      <title>Definitions</title>
      <list list-type="bullet">
        <list-item><p><bold>Supply chain</bold>: All activities linked to the flow and transformation of goods from raw materials to end user, plus associated information flows (Li et al., 2006). Supply chain management (SCM) integrates these activities via relationships to achieve sustainable competitive advantage.</p></list-item>
        <list-item><p><bold>Supply chain cost management</bold>: Methods to analyze and control all costs within the supply chain (Schulze et al., 2012).</p></list-item>
        <list-item><p><bold>Supply chain risks</bold>: Probability of harm or loss arising from security risks associated with suppliers, their supply chains, products, or services (Schoenherr &amp; Tummala, 2011).</p></list-item>
      </list>
    </sec>

    <sec id="sec-plan">
      <title>Study Plan</title>
      <sec id="sec-risk-assess">
        <title>Assessing Supply Chain Risks Under Current Global Conditions</title>
        <p>A supply chain is an integrated process involving suppliers, manufacturers, distributors, and retailers working to gather raw materials, transform them, and deliver final products (Beamon, 1998). From the customer viewpoint, it consists of integrated parts aiming to meet demand (Franca et al., 2010). Since the late 1990s, interest has grown in overall supply chain design and performance; the goal is to maximize profit by increasing the gap between end-product value and total supply chain cost (Rong et al., 2011).</p>
        <p>Risk exists at multiple levels and is subjective (Borghesi &amp; Gaudenzi, 2006). Ho et al. (2015) defined supply chain risk as the probability and impact of unexpected events or conditions—at whole or part level—that negatively affect the chain, causing operational, tactical, or strategic failures.</p>
        <p>Tang (2006) distinguished operational risks (daily management) and disruption risks (natural/man-made disasters). Schoenherr &amp; Tummala (2011) defined risk as the combination of likelihood and magnitude; key questions are: potential risks and losses, likelihood, and significance of losses. Effective assessment requires identifying, measuring consequences (e.g., variance, VaR), and evaluating risks relative to objectives (Nickel &amp; Comes, 2015).</p>
        <p>Lean/soft approaches (e.g., Masoumi et al., 2012) integrate risk into improvement models for perishable goods. However, generalized network optimization with integrated risk remains needed.</p>
        <fig id="fig1" position="float">
          <label>Figure 1</label>
          <caption>
            <title>Supply chain risks</title>
            <p>Key categories of supply chain risks (adapted from Rao, 2009, p. 31).</p>
          </caption>
          <graphic xlink:href="https://aradorganization-my.sharepoint.com/:i:/g/personal/rsamir_arado_org/IQBYK7wJsALGQKjPYOgeAyE6AfVNI4eOTfJEpNOj3gzUeoY?e=qDJCC2"/>
        </fig>
      </sec>

      <sec id="sec-scrm">
        <title>Supply Chain Risk Management</title>
        <sec id="sec-scm">
          <title>Supply Chain Management (SCM)</title>
          <p>SCM integrates suppliers, manufacturers, distributors, and customers to improve long-term performance of individual firms and the chain as a whole (Grant, 2012). Core practices include strategic supplier partnerships, customer relationships, information sharing, and internal flexible/agile practices (Li et al., 2006; Kotzab et al., 2015).</p>
        </sec>
        <sec id="sec-sccost">
          <title>Supply Chain Cost Management</title>
          <p>Logistics costs are key efficiency indicators as distances, currencies, and cultures separate markets (Rossetti &amp; Zeng, 2003). Supply chain cost includes logistics plus order processing, purchasing, and inventory handling (Segerstedt &amp; Pettersson, 2013). Main cost categories: storage, purchasing, inventory carrying, transportation, and order processing (Lambert et al., 1998).</p>
        </sec>
        <sec id="sec-scrisk">
          <title>Supply Chain Risk Management (SCRM)</title>
          <p>SCRM is the process of identifying, assessing, and mitigating supply chain risks to operate efficiently, reduce costs, and enhance customer service. Globalized chains raise risks to quality, safety, continuity, and reputation (Tate et al., 2018). Internal risks include process disruptions, management/staff changes, lack of contingency planning, cyber insecurity, regulatory non-compliance, and stockouts. External risks include unpredictable demand, product flow interruptions, socio-political-economic factors (terrorism), supplier risks, natural disasters, pandemics (Covid-19), and political conflicts.</p>
          <p>The Warwick Manufacturing Group (2021) Supply Chain Resilience Report recommends: (1) adopt risk management strategy by identifying vulnerabilities and accelerating fixes; (2) use demand profiling to tailor chains to market volatility; (3) adopt flexible contracting to enable collaboration.</p>
        </sec>
      </sec>

      <sec id="sec-ma-mechanisms">
        <title>Management Accounting Mechanisms in SCRM</title>
        <sec id="sec-sma">
          <title>Strategic Management Accounting (SMA)</title>
          <p>Management accounting supports decision-making. Under heightened environmental uncertainty and risk, its strategic role emphasizes identifying and measuring performance drivers to enhance value (Jarrah &amp; Al-Matarneh, 2021). Advanced techniques (ABC, target costing, product life-cycle costing, JIT, TQM, BSC) are used alongside traditional methods (Show et al., 2010).</p>
        </sec>
        <sec id="sec-ma-scm">
          <title>Management Accounting in SCM</title>
          <p>SCM implications for management accounting include cost trade-offs to optimize chain-wide performance (Gomm, 2012; Grant, 2010). Practices include value chain analysis, ABC, target costing, inter-organizational cost management, open-book accounting, and performance-based contracting (Ellram, 2006; Howard et al., 2016). Performance measurement has shifted to include non-financial metrics (reliability, flexibility, quality, responsiveness, communication) (Chan et al., 2003; Shaw et al., 2010).</p>
        </sec>
        <sec id="sec-ma-scrisk">
          <title>Management Accounting in Supply Chain Risk Management</title>
          <p>Contingency theory underpins management accounting design: fit between organizational structure and context drives performance (Greve &amp; Gerdin, 2004). Thus, management accounting practices evolve in response to environmental contingencies such as supply chain risks (Flynn et al., 2010).</p>
          <p>Key roles in SCRM:</p>
          <list list-type="bullet">
            <list-item><p>Demand forecasting and contingency planning using cost–benefit analyses of mitigation strategies beyond OEM tiers.</p></list-item>
            <list-item><p>Real-time data access on suppliers, locations, and at-risk parts/products; supply chain mapping beyond OEMs.</p></list-item>
            <list-item><p>Collaborative contracting supported by real-time data to enhance flexibility; contracts focus on shared outcome metrics.</p></list-item>
            <list-item><p>Leveraging inventory and capacity: evaluate JIT versus JIC, opportunity costs of stockouts, and waste/shrink for perishables.</p></list-item>
            <list-item><p>Multi-sourcing options: financial evaluation to diversify supply base and avoid concentration risk.</p></list-item>
            <list-item><p>Building flexible/rapid plants: investment appraisals for equipment relocation or upgrades to enable make-or-buy decisions.</p></list-item>
          </list>
        </sec>
      </sec>
    </sec>

    <sec id="sec-methods">
      <title>Analytical Study Design</title>
      <sec id="sec-method">
        <title>Method</title>
        <p>An analytical approach was used:</p>
        <list list-type="bullet">
          <list-item><p><italic>Theoretical level</italic>: Critical, inductive review of literature on SCM, SCRM, and management accounting practices.</p></list-item>
          <list-item><p><italic>Empirical level</italic>: Statistical testing of hypotheses using collected data.</p></list-item>
        </list>
      </sec>
      <sec id="sec-sample">
        <title>Population and Sample</title>
        <p>Target: 210 Saudi listed firms across economic sectors (2021). Focused sample: 82 firms in energy, basic materials, capital goods, and consumer goods—large investment and workforce, likely to employ formal risk plans and performance metrics, and to have capabilities to design SCM cost/performance systems.</p>
      </sec>
      <sec id="sec-data">
        <title>Data Collection</title>
        <p>Electronic questionnaires were sent via email and social media; follow-up calls verified suitability and willingness. Senior executives knowledgeable about supply chain, management accounting, and performance were targeted. Definitions list reduced misunderstanding. Usable responses: 149 (effective response 74%). Non-response bias deemed minimal.</p>
      </sec>
      <sec id="sec-variables">
        <title>Variables and Measurement</title>
        <p>Independent variables: management accounting practices (MAP) used to manage supply chain risks. Importance rated on 3-point scale (1 = not important to 3 = important); frequency on 5-point scale (1 = never to 5 = very often). Three MAP categories:</p>
        <list list-type="order">
          <list-item><p><bold>Strategic MAP (SMAP)</bold>: ABC; target costing (TC); product life-cycle costing (PCC); JIT; TQM; BSC.</p></list-item>
          <list-item><p><bold>SCM-related MAP (SCMAP)</bold>: Customer accounting/CRM; value chain analysis (VC); performance-based contracting (PC); open-book accounting (OBA); inter-organizational cost management (IOCM/cost trade-offs).</p></list-item>
          <list-item><p><bold>SCRM-related MAP (SCRMAP)</bold>: Data for collaborative contracts (CC); full supply chain flow mapping (SCFC); cost–benefit of mitigation (CB); switch JIT to JIC; opportunity-cost trade-off of bulk inventory vs lost sales (C-OPR); make-or-buy support (MOP); teamwork for supplier diversification.</p></list-item>
        </list>
        <p>Mediating variable: Supply chain risk management practices (SCRMP): strategic supplier partnership (SSP); customer relationship (CR); information sharing (IS); information quality (IQ); internal lean/agile practices (ILP); postponement (POS). Measured similarly.</p>
        <p>Dependent variables:</p>
        <list list-type="order">
          <list-item><p><bold>Supply chain risk management performance (SCRPER)</bold>: flexibility (FLEX); integration (INT); supplier performance (SUP); customer responsiveness (RESC).</p></list-item>
          <list-item><p><bold>Overall firm performance (OPER, OPER-NON)</bold>: Financial—market share (MS), ROI, profit margin on sales (PMS), total cost reduction (TCR); Non-financial—customer satisfaction (CS), product quality (PQ), competitive position (CP).</p></list-item>
        </list>

        <table-wrap id="tab1a" position="float">
          <label>Table 1a</label>
          <caption>
            <title>Descriptive statistics: number of employees</title>
          </caption>
          <table frame="hsides" rules="groups">
            <thead>
              <tr>
                <th>Employees</th>
                <th>Frequency</th>
                <th>%</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>&gt; 250</td>
                <td>24</td>
                <td>29.3</td>
              </tr>
              <tr>
                <td>251–500</td>
                <td>23</td>
                <td>28.0</td>
              </tr>
              <tr>
                <td>501–1000</td>
                <td>14</td>
                <td>17.1</td>
              </tr>
              <tr>
                <td>&gt; 1000</td>
                <td>21</td>
                <td>25.6</td>
              </tr>
              <tr>
                <td><bold>Total</bold></td>
                <td><bold>82</bold></td>
                <td><bold>100.0</bold></td>
              </tr>
            </tbody>
          </table>
        </table-wrap>

        <table-wrap id="tab1b" position="float">
          <label>Table 1b</label>
          <caption>
            <title>Descriptive statistics: annual revenue (SAR billions)</title>
          </caption>
          <table frame="hsides" rules="groups">
            <thead>
              <tr>
                <th>Annual revenue (SAR bn)</th>
                <th>Frequency</th>
                <th>%</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>&gt; 50</td>
                <td>15</td>
                <td>18.3</td>
              </tr>
              <tr>
                <td>50–&lt;100</td>
                <td>16</td>
                <td>19.5</td>
              </tr>
              <tr>
                <td>100–&lt;500</td>
                <td>35</td>
                <td>42.7</td>
              </tr>
              <tr>
                <td>&gt; 500</td>
                <td>16</td>
                <td>19.5</td>
              </tr>
              <tr>
                <td><bold>Total</bold></td>
                <td><bold>82</bold></td>
                <td><bold>100.0</bold></td>
              </tr>
            </tbody>
          </table>
        </table-wrap>

        <table-wrap id="tab1c" position="float">
          <label>Table 1c</label>
          <caption>
            <title>Descriptive statistics: supply chain position</title>
          </caption>
          <table frame="hsides" rules="groups">
            <thead>
              <tr>
                <th>Supply chain position</th>
                <th>Frequency</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>Raw material supplier</td>
                <td>10</td>
              </tr>
              <tr>
                <td>Component / spare parts supplier</td>
                <td>4</td>
              </tr>
              <tr>
                <td>Manufacturer</td>
                <td>17</td>
              </tr>
              <tr>
                <td>Assembler</td>
                <td>7</td>
              </tr>
              <tr>
                <td>Sub-assembler</td>
                <td>2</td>
              </tr>
              <tr>
                <td>Distributor</td>
                <td>11</td>
              </tr>
              <tr>
                <td>Wholesaler</td>
                <td>10</td>
              </tr>
              <tr>
                <td>Retailer</td>
                <td>11</td>
              </tr>
              <tr>
                <td>Service provider</td>
                <td>10</td>
              </tr>
              <tr>
                <td>Other</td>
                <td>0</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>

      </sec>

      <sec id="sec-model">
        <title>Proposed Path Model</title>
        <p>The model posits direct and mediated effects of SMAP, SCMAP, and SCRMAP on SCRPER and overall performance, with SCRMP as mediator.</p>
        <fig id="fig2" position="float">
          <label>Figure 2</label>
          <caption>
            <title>Proposed structural path model</title>
            <p>MAP categories (SMAP, SCMAP, SCRMAP) influencing SCRPER and overall firm performance (financial and non-financial), with SCRMP as mediator.</p>
          </caption>
          <graphic xlink:href="https://aradorganization-my.sharepoint.com/:i:/g/personal/rsamir_arado_org/IQAatPVVQRRdS6zf3cQNVmOZAY47EnsXqlpUExIW-ye0jqw?e=xIHqvN"/>
        </fig>
      </sec>

      <sec id="sec-stats">
        <title>Statistical Methods</title>
        <p>Partial Least Squares (PLS) path modeling was used (Hair et al., 2012) due to minimal distributional assumptions and suitability for N &lt; 100 and predictive validity. Sobel’s test assessed indirect effects (t and p values for mediated paths).</p>
      </sec>
    </sec>

    <sec id="sec-results">
      <title>Results and Discussion</title>
      <p>Measurement model: Items with low loadings were removed; IS and IQ merged into Information Management (IM); Customer Relationship reframed as Strategic Customer Relationship (SCR). All constructs met reliability and validity criteria (Hair et al., 2010).</p>

      <table-wrap id="tab2" position="float">
        <label>Table 2</label>
        <caption>
          <title>Item loadings, composite reliability (Pc), and average variance extracted (AVE)</title>
        </caption>
        <table frame="hsides" rules="groups">
          <thead>
            <tr>
              <th>Construct / Item</th>
              <th>Loading</th>
              <th>SE</th>
              <th>t</th>
            </tr>
          </thead>
          <tbody>
            <tr><td>SCMRP: SSP</td><td>0.707</td><td>0.061</td><td>11.463</td></tr>
            <tr><td>SCMRP: CR/SCR</td><td>0.756</td><td>0.059</td><td>12.683</td></tr>
            <tr><td>SCMRP: SCR</td><td>0.828</td><td>0.042</td><td>19.712</td></tr>
            <tr><td>SCMRP: IM</td><td>0.558</td><td>0.079</td><td>7.545</td></tr>
            <tr><td>SCMRP: ILP</td><td>0.526</td><td>0.145</td><td>3.352</td></tr>
            <tr><td>SMAP: ABC</td><td>0.892</td><td>0.022</td><td>39.054</td></tr>
            <tr><td>SMAP: TC</td><td>0.916</td><td>0.019</td><td>47.875</td></tr>
            <tr><td>SMAP: PCC</td><td>0.880</td><td>0.036</td><td>23.852</td></tr>
            <tr><td>SMAP: JIT</td><td>0.877</td><td>0.033</td><td>26.199</td></tr>
            <tr><td>SMAP: TQM</td><td>0.811</td><td>0.012</td><td>29.064</td></tr>
            <tr><td>SMAP: BSC</td><td>0.932</td><td>0.014</td><td>57.815</td></tr>
            <tr><td>SCMAP: INTERC</td><td>0.650</td><td>0.026</td><td>24.052</td></tr>
            <tr><td>SCMAP: OBA</td><td>0.587</td><td>0.035</td><td>26.189</td></tr>
            <tr><td>SCMAP: PC</td><td>0.762</td><td>0.021</td><td>42.053</td></tr>
            <tr><td>SCMAP: VC</td><td>0.917</td><td>0.019</td><td>47.875</td></tr>
            <tr><td>SCMAP: CR</td><td>0.880</td><td>0.026</td><td>33.824</td></tr>
            <tr><td>SCRMAP: CB</td><td>0.677</td><td>0.024</td><td>29.179</td></tr>
            <tr><td>SCRMAP: SCFC</td><td>0.552</td><td>0.027</td><td>10.044</td></tr>
            <tr><td>SCRMAP: CC</td><td>0.916</td><td>0.019</td><td>47.875</td></tr>
            <tr><td>SCRMAP: JIC</td><td>0.880</td><td>0.036</td><td>23.852</td></tr>
            <tr><td>SCRMAP: C-OPR</td><td>0.587</td><td>0.031</td><td>28.034</td></tr>
            <tr><td>SCRMAP: MOP</td><td>0.722</td><td>0.028</td><td>22.059</td></tr>
            <tr><td>SCRPER: FLEX</td><td>0.700</td><td>0.108</td><td>6.272</td></tr>
            <tr><td>SCRPER: INT</td><td>0.849</td><td>0.029</td><td>29.127</td></tr>
            <tr><td>SCRPER: SUP</td><td>0.828</td><td>0.031</td><td>26.398</td></tr>
            <tr><td>SCRPER: RESC</td><td>0.838</td><td>0.042</td><td>19.666</td></tr>
            <tr><td>OPER: ROI</td><td>0.846</td><td>0.041</td><td>20.769</td></tr>
            <tr><td>OPER: PMS</td><td>0.856</td><td>0.038</td><td>22.631</td></tr>
            <tr><td>OPER: TCR</td><td>0.817</td><td>0.043</td><td>18.669</td></tr>
            <tr><td>OPER: MS</td><td>0.789</td><td>0.069</td><td>11.333</td></tr>
            <tr><td>OPER-NON: PQ</td><td>0.779</td><td>0.062</td><td>12.384</td></tr>
            <tr><td>OPER-NON: CP</td><td>0.826</td><td>0.041</td><td>19.918</td></tr>
            <tr><td>OPER-NON: CS</td><td>0.861</td><td>0.035</td><td>24.396</td></tr>
          </tbody>
        </table>
      </table-wrap>

      <table-wrap id="tab3" position="float">
        <label>Table 3</label>
        <caption>
          <title>Discriminant validity (square root of AVE on diagonal) and inter-construct correlations</title>
        </caption>
        <table frame="hsides" rules="groups">
          <thead>
            <tr>
              <th></th>
              <th>SMAP</th>
              <th>SCMAP</th>
              <th>SCRMAP</th>
              <th>SCRMP</th>
              <th>SCRPER</th>
              <th>OPER</th>
              <th>OPER-NON</th>
            </tr>
          </thead>
          <tbody>
            <tr><td>SMAP</td><td>0.892</td><td>0.614</td><td>0.567</td><td>0.457</td><td>0.373</td><td>0.279</td><td>0.455</td></tr>
            <tr><td>SCMAP</td><td>0.614</td><td>0.795</td><td>0.523</td><td>0.425</td><td>0.371</td><td>0.436</td><td>0.512</td></tr>
            <tr><td>SCRMAP</td><td>0.567</td><td>0.523</td><td>0.789</td><td>0.451</td><td>0.365</td><td>0.412</td><td>0.241</td></tr>
            <tr><td>SCRMP</td><td>0.457</td><td>0.425</td><td>0.451</td><td>0.686</td><td>0.437</td><td>0.364</td><td>0.324</td></tr>
            <tr><td>SCRPER</td><td>0.373</td><td>0.371</td><td>0.365</td><td>0.437</td><td>0.805</td><td>0.673</td><td>0.425</td></tr>
            <tr><td>OPER</td><td>0.279</td><td>0.436</td><td>0.412</td><td>0.364</td><td>0.673</td><td>0.825</td><td>0.514</td></tr>
            <tr><td>OPER-NON</td><td>0.455</td><td>0.512</td><td>0.241</td><td>0.324</td><td>0.425</td><td>0.514</td><td>0.729</td></tr>
          </tbody>
        </table>
      </table-wrap>

      <p>Structural model results are shown in Tables 4 and 5.</p>

      <table-wrap id="tab4" position="float">
        <label>Table 4</label>
        <caption>
          <title>Direct effects (standardized Betas) and t-values</title>
        </caption>
        <table frame="hsides" rules="groups">
          <thead>
            <tr>
              <th>Hypothesis</th>
              <th>Path</th>
              <th>Beta</th>
              <th>SE</th>
              <th>t</th>
              <th>Result</th>
            </tr>
          </thead>
          <tbody>
            <tr><td>H1a</td><td>SMAP → SCRPER</td><td>0.098</td><td>0.067</td><td>0.779</td><td>Not supported</td></tr>
            <tr><td>H1b</td><td>SMAP → OPER</td><td>0.066</td><td>0.119</td><td>0.103</td><td>Not supported</td></tr>
            <tr><td>H1c</td><td>SMAP → OPER-NON</td><td>0.089</td><td>0.287</td><td>3.019</td><td>Not supported (direct)</td></tr>
            <tr><td>H2a</td><td>SCMAP → SCRPER</td><td>0.112</td><td>0.459</td><td>5.103</td><td>Supported (p &lt; 0.01)</td></tr>
            <tr><td>H2b</td><td>SCMAP → OPER</td><td>0.084</td><td>0.524</td><td>3.018</td><td>Supported (p &lt; 0.05)</td></tr>
            <tr><td>H2c</td><td>SCMAP → OPER-NON</td><td>0.106</td><td>0.049</td><td>1.003</td><td>Not supported</td></tr>
            <tr><td>H3a</td><td>SCRMAP → SCRPER</td><td>0.083</td><td>0.084</td><td>5.018</td><td>Supported (p &lt; 0.01)</td></tr>
            <tr><td>H3b</td><td>SCRMAP → OPER</td><td>0.116</td><td>0.224</td><td>3.933</td><td>Supported (p &lt; 0.05)</td></tr>
            <tr><td>H3c</td><td>SCRMAP → OPER-NON</td><td>-0.005</td><td>0.093</td><td>0.054</td><td>Not supported</td></tr>
            <tr><td>H4</td><td>SCRMP → SCRPER</td><td>0.083</td><td>0.642</td><td>7.700</td><td>Supported (p &lt; 0.05)</td></tr>
            <tr><td>H5</td><td>SCRPER → OPER</td><td>0.079</td><td>0.384</td><td>4.503</td><td>Supported (p &lt; 0.05)</td></tr>
            <tr><td>H5</td><td>SCRPER → OPER-NON</td><td>0.079</td><td>0.104</td><td>1.303</td><td>Not supported</td></tr>
          </tbody>
        </table>
      </table-wrap>

      <table-wrap id="tab5" position="float">
        <label>Table 5</label>
        <caption>
          <title>Indirect effects (Sobel test) via mediator SCRMP</title>
        </caption>
        <table frame="hsides" rules="groups">
          <thead>
            <tr>
              <th>Path (indirect via SCRMP)</th>
              <th>Beta</th>
              <th>t</th>
              <th>p</th>
            </tr>
          </thead>
          <tbody>
            <tr><td>SMAP → SCRMP → SCRPER</td><td>0.148</td><td>1.563</td><td>&lt; 0.05</td></tr>
            <tr><td>SMAP → SCRMP → OPER</td><td>0.224</td><td>3.034</td><td>&lt; 0.05</td></tr>
            <tr><td>SCMAP → SCRMP → SCRPER</td><td>0.1046</td><td>1.7918</td><td>&lt; 0.05</td></tr>
            <tr><td>SCMAP → SCRMP → OPER-NON</td><td>0.112</td><td>1.7918</td><td>&lt; 0.05</td></tr>
            <tr><td>SCRMAP → SCRMP → OPER-NON</td><td>0.1145</td><td>1.2008</td><td>&lt; 0.05</td></tr>
          </tbody>
        </table>
      </table-wrap>

      <p><bold>Key interpretations</bold>:</p>
      <list list-type="bullet">
        <list-item><p>Direct SMAP effects on SCRPER and overall performance were not significant; however, SMAP had significant indirect effects (via SCRMP) on SCRPER and financial performance, but not on non-financial performance.</p></list-item>
        <list-item><p>SCMAP positively and directly influenced SCRPER and financial performance; its indirect effect via SCRMP improved non-financial performance.</p></list-item>
        <list-item><p>SCRMAP directly improved SCRPER and financial performance; indirect effect via SCRMP enhanced non-financial performance.</p></list-item>
        <list-item><p>SCRMP positively affected SCRPER; SCRPER improved financial performance but not non-financial metrics—suggesting firms prioritize cost/disruption mitigation over customer satisfaction, product quality, and competitive positioning during high risk.</p></list-item>
      </list>
    </sec>

    <sec id="sec-conclusion">
      <title>Conclusions and Future Research</title>
      <p>Standalone SMAP and SCMAP, when used under high supply chain risk, did not directly improve firm performance; they must be integrated with SCRM-focused MAP (e.g., cost–benefit of mitigation, full chain mapping, collaborative contracting data, JIT–JIC switching, inventory opportunity-cost trade-offs, make-or-buy, supplier diversification teamwork). These practices realign known tools toward resilience objectives.</p>
      <p>Indirect effects reveal that SCRM-oriented MAP enhance risk management performance and, through it, financial outcomes; non-financial outcomes improve indirectly via effective SCRMP.</p>
      <p>Future research could test these relationships in other sectors or geographies, and under varying risk profiles, to validate generalizability and explore additional SCRM accounting mechanisms.</p>
    </sec>

    <sec id="sec-limitations">
      <title>Limitations</title>
      <list list-type="bullet">
        <list-item><p>Sample restricted to fast-growing Saudi industrial firms (industry contributes ~33% of GDP; non-oil exports rose 37% in 2021).</p></list-item>
        <list-item><p>Sampled sectors engage in cooperative supply chain arrangements (suppliers, producers, distributors, wholesalers, retailers).</p></list-item>
        <list-item><p>Financial firms excluded due to differing business models.</p></list-item>
      </list>
    </sec>
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