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	<title>DEMATEL &#8211; Science</title>
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	<title>DEMATEL &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>Iran&#8217;s Karun Water Crisis Is a Governance Crisis, New Study Finds</title>
		<link>https://scienmag.com/irans-karun-water-crisis-is-a-governance-crisis-new-study-finds/</link>
		
		<dc:creator><![CDATA[Courtney Benton]]></dc:creator>
		<pubDate>Thu, 01 Oct 2026 01:28:02 +0000</pubDate>
				<category><![CDATA[Climate]]></category>
		<category><![CDATA[accountability]]></category>
		<category><![CDATA[administrative gap]]></category>
		<category><![CDATA[agricultural dependency on Karun River]]></category>
		<category><![CDATA[climate hazards in Iran water systems]]></category>
		<category><![CDATA[DEMATEL]]></category>
		<category><![CDATA[DEMATEL causal modeling water issues]]></category>
		<category><![CDATA[funding gap]]></category>
		<category><![CDATA[Greater Karun Basin]]></category>
		<category><![CDATA[impact of governance on Iran water scarcity]]></category>
		<category><![CDATA[institutional reform]]></category>
		<category><![CDATA[Iran]]></category>
		<category><![CDATA[Iran hydroelectric energy reliance]]></category>
		<category><![CDATA[Iran water governance analysis]]></category>
		<category><![CDATA[Iran water governance crisis]]></category>
		<category><![CDATA[Iran water management reforms]]></category>
		<category><![CDATA[Karun River Basin institutional failures]]></category>
		<category><![CDATA[Khuzestan]]></category>
		<category><![CDATA[multi-level water governance framework Iran]]></category>
		<category><![CDATA[OECD framework]]></category>
		<category><![CDATA[river basin management]]></category>
		<category><![CDATA[systemic water crisis in Iran]]></category>
		<category><![CDATA[water crisis]]></category>
		<category><![CDATA[water governance]]></category>
		<category><![CDATA[water security challenges in Iran]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=220734</guid>

					<description><![CDATA[A DEMATEL-based analysis of Iran's Greater Karun Basin shows the administrative, funding, and accountability gaps are the causal drivers of the region's water crisis, while targeting and capacity failures are merely symptoms.]]></description>
										<content:encoded><![CDATA[<p>Iran&#8217;s most important river system is running out of governance, not just water. A new study published in the journal Environmental Challenges maps the institutional fault lines behind the water crisis in the Greater Karun River Basin, and its conclusion is stark: the basin&#8217;s problems are driven less by hydrology than by a dense web of administrative, financial, and accountability failures that reinforce one another. Using the OECD multi-level water governance framework combined with the DEMATEL causal modeling method, researchers Mahin Farjam, Khalil Kalantari, Ali Asadi, and Aliakbar Barati identified seven governance gaps, traced the cause-and-effect relationships among them, and pinpointed where reform efforts would yield the greatest systemic payoff.</p>
<p>The stakes could hardly be higher. The Karun is Iran&#8217;s longest river, stretching 950 kilometers and draining the Zagros Mountains across a basin of 67,500 square kilometers. Together with the Dez, it forms the largest surface water system in the country, with average annual flows of roughly 19,174 million cubic meters. The Greater Karun catchment supplies 78 percent of Iran&#8217;s hydroelectric energy and 13 percent of its agricultural production, making it a linchpin of national food and energy security. Yet despite this endowment, the basin faces drought, climate hazards, and mounting pressure from agricultural expansion, industrial development, and urbanization, a paradox the study attributes squarely to institutional dysfunction.</p>
<p>The research team built a framework of 22 components and 65 indicators, organized into three structural domains: governance gaps covering administrative, targeting, and responsibility dimensions; policy gaps covering policy and information; and operational gaps covering capacity and funding. To untangle how these gaps interact, they surveyed 50 senior managers drawn equally from the Khuzestan Water and Power Authority and Iran&#8217;s Water Resources Management Organization, asking each expert to rate the degree of influence every gap exerts on every other. The DEMATEL method, originally developed at the Battelle Memorial Institute&#8217;s Geneva Research Centre, then converted these judgments into a mathematical network that distinguishes causal drivers from dependent outcomes.</p>
<p>The results were unambiguous. The administrative gap emerged as the single most powerful force in the network, with the highest influence score in the direct relation matrix at 11.53 and the highest prominence score in the total relation matrix at 5.326. It strongly shapes the responsibility, funding, capacity, and targeting gaps while simultaneously being shaped by them, sitting at the dense center of the entire governance system. The responsibility gap, essentially an accountability deficit, ranked second, followed by the funding gap. In contrast, the targeting, information, capacity, and policy gaps registered negative net-causality values, meaning they function primarily as symptoms of deeper structural failures rather than as causes in their own right.</p>
<p>This causal architecture matters because it tells reformers where to intervene. Fixing a dependent gap such as targeting, the study suggests, would be like treating a fever without addressing the infection. The targeting gap in Khuzestan is particularly revealing: the province is mandated to produce nationally strategic, water-intensive crops under food security directives enforced by the Ministry of Agricultural Jihad, while the Ministry of Energy simultaneously holds responsibility for water conservation and environmental flows. Under chronic scarcity, the water required to meet agricultural targets is structurally incompatible with sustainable basin management, a condition the authors describe as a form of institutional water bankruptcy in which national policy goals cannot be simultaneously satisfied within existing water budgets.</p>
<p>The funding gap turned out to be more than an operational bottleneck. Although the OECD framework classifies it as a constraint on implementation, the analysis found it behaves like a structural determinant, exerting its strongest direct influence on the administrative gap itself. The authors trace this to Iran&#8217;s budgetary politics: the Ministry of Energy has historically prioritized capital-intensive projects such as dam construction and inter-basin transfers over investment in institutional governance. When financial flows are structurally skewed this way, underfunding gradually erodes the staffing, coordination mechanisms, and functional authority of basin-level agencies, making the funding gap a boundary-spanning driver of administrative dysfunction rather than a mere line-item shortfall.</p>
<p>The study also uncovered reinforcing feedback loops that entrench the crisis. The administrative and responsibility gaps mutually strengthen each other, the funding and capacity gaps form a vicious cycle, and the policy and information gaps are locked in reciprocal dependency. A 2005 reorganization that converted provincial water authorities into regional water companies shifted decision-making from river-basin boundaries to provincial ones, fragmenting managerial coherence so that multiple provincial organizations now intervene in the management of a single basin. Sensitivity analyses confirmed the core findings were robust: the administrative, responsibility, and funding gaps remained the identified causal anchors across a range of threshold values.</p>
<p>Cross-case comparisons lend the findings broader credibility. Governance analyses of the Zayandeh-Rood Basin similarly identify administrative coordination failures and accountability deficits as primary structural drivers, while the literature on the Urmia Lake crisis points to inter-ministerial coordination failures and chronic financial misallocation. The convergence across three hydrologically distinct Iranian basins suggests these are systemic vulnerabilities of the national water sector, not local quirks. Comparable patterns appear internationally, from accountability and decentralization deficits documented in Bangladesh to inefficient water use across two-thirds of Chinese provinces, reinforcing the growing consensus that the global water crisis is, above all, a governance crisis.</p>
<p>The authors are careful about the limits of their method. DEMATEL captures expert perceptions rather than objectively measured performance, and the sample was drawn exclusively from two government-affiliated organizations, excluding farmers, civil society, and local communities whose inclusion might have shifted the relative weight of the accountability and funding gaps. There is also a geographic bias: downstream managers whose mandates are most affected by upstream withdrawals may perceive administrative failures as more severe than upstream stakeholders would. The authors call for future research with multi-stakeholder, multi-provincial sampling across the full upstream-downstream continuum of the basin.</p>
<p>Even with those caveats, the practical implications are clear and urgent. The study recommends prioritizing inter-organizational coordination mechanisms, realigning administrative boundaries with functional hydrological ones, reforming Ministry of Energy budget priorities to fund institutional governance rather than only concrete infrastructure, and strengthening accountability through clearer assignment of responsibilities and inter-agency performance monitoring. Because climate change acts as a threat multiplier, deepening the agricultural-environmental contradiction and straining both capacity and financing, the window for structural reform may be narrowing. Interventions aimed at the administrative, funding, and accountability gaps, the analysis concludes, could generate cascading improvements across the entire governance network, transforming how one of the Middle East&#8217;s most consequential river basins is managed before scarcity makes reform impossible.</p>
<p><strong>Subject of Research:</strong> Water governance gaps and their causal relationships in Iran&#x27;s Greater Karun River Basin</p>
<p><strong>Article Title:</strong> Assessing Governance, Policy, and Operational Gaps Driving the Water Crisis in Iran&#x27;s Greater Karun Basin</p>
<p><strong>Article References:</strong> Farjam, M., Kalantari, K., Asadi, A., &amp; Barati, A. (2026). Assessing Governance, Policy, and Operational Gaps Driving the Water Crisis in Iran&#x27;s Greater Karun Basin. <em>Environmental Challenges, 25</em>, Article 101670. <a href="https://doi.org/10.1016/j.envc.2026.101670" rel="noopener noreferrer">https://doi.org/10.1016/j.envc.2026.101670</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1016/j.envc.2026.101670" rel="noopener noreferrer">10.1016/j.envc.2026.101670</a></p>
<p><strong>Keywords:</strong> water governance, Greater Karun Basin, Iran, DEMATEL, OECD framework, administrative gap, funding gap, accountability, water crisis, Khuzestan, institutional reform, river basin management</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">220734</post-id>	</item>
		<item>
		<title>New Fuzzy Decision Framework Charts ESG Transition Path for Small Logistics Firms</title>
		<link>https://scienmag.com/new-fuzzy-decision-framework-charts-esg-transition-path-for-small-logistics-firms/</link>
		
		<dc:creator><![CDATA[Sloane Callahan]]></dc:creator>
		<pubDate>Tue, 22 Sep 2026 16:33:38 +0000</pubDate>
				<category><![CDATA[Climate]]></category>
		<category><![CDATA[bio-circular-green economy model implementation in logistics]]></category>
		<category><![CDATA[carbon neutrality commitments for third-party logistics providers]]></category>
		<category><![CDATA[data governance in logistics SMEs]]></category>
		<category><![CDATA[DEMATEL]]></category>
		<category><![CDATA[environmental social governance barriers in logistics sector]]></category>
		<category><![CDATA[ESG]]></category>
		<category><![CDATA[ESG transition strategies for small logistics firms]]></category>
		<category><![CDATA[FUCOM]]></category>
		<category><![CDATA[fuzzy decision-making frameworks for environmental barriers]]></category>
		<category><![CDATA[fuzzy MCDM]]></category>
		<category><![CDATA[green logistics in Thailand]]></category>
		<category><![CDATA[green supply chain collaboration]]></category>
		<category><![CDATA[impact of outdated technology on logistics sustainability]]></category>
		<category><![CDATA[institutional theory]]></category>
		<category><![CDATA[mathematical decision frameworks for sustainability]]></category>
		<category><![CDATA[Quality Function Deployment]]></category>
		<category><![CDATA[resource allocation for ESG initiatives in small logistics firms]]></category>
		<category><![CDATA[resource-based view]]></category>
		<category><![CDATA[small and medium-sized logistics company sustainability challenges]]></category>
		<category><![CDATA[SME logistics]]></category>
		<category><![CDATA[sustainability transition]]></category>
		<category><![CDATA[sustainable supply chain management in emerging economies]]></category>
		<category><![CDATA[third-party logistics]]></category>
		<category><![CDATA[TOE framework]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=206831</guid>

					<description><![CDATA[A hybrid fuzzy decision-support framework developed for Thailand's small logistics providers reveals that fragmented collaboration and capital constraints are the dominant ESG barriers, with green supply chain collaboration ranked as the most effective mitigation strategy.]]></description>
										<content:encoded><![CDATA[<p>Small and medium-sized third-party logistics providers sit at a paradoxical heart of the global sustainability push. They move the freight, run the warehouses, and connect supply chains across every industry, yet they contribute a disproportionate share of greenhouse gas emissions while lacking the financial muscle and technical depth of the logistics giants they serve alongside. A new study published in Cleaner Engineering and Technology offers these firms something they have rarely had before: a rigorous, mathematically grounded roadmap for identifying exactly which environmental, social, and governance barriers hold them back, and which strategies will deliver the greatest return on scarce investment.</p>
<p>The research, conducted by Detcharat Sumrit and Rodsak Kongsakul, focuses on Thailand&#8217;s SME logistics sector, a setting the authors argue is emblematic of challenges facing emerging economies worldwide. Thai policymakers have embraced a Bio-Circular-Green economy model and carbon neutrality commitments, but the small firms that dominate the sector still wrestle with outdated technology, manual reporting systems, fragmented data governance, and subcontractors with limited sustainability capabilities. The study treats these firms not as laggards but as organizations caught between internal resource limits and powerful external pressures, and it builds its entire analytical framework around that tension.</p>
<p>Theoretically, the work weaves together three complementary lenses. The resource-based view explains how internal assets, from financial capital to digital infrastructure, shape what the authors call endogenous barriers. Institutional theory captures the exogenous pressures that compel action: coercive forces such as the European Union&#8217;s Corporate Sustainability Reporting Directive, mimetic imitation of sustainability leaders like DHL and Maersk, and normative expectations from customers demanding low-carbon logistics. The technology-organization-environment framework then provides the structure for organizing potential responses. No prior study, the authors contend, has integrated all three perspectives while simultaneously linking barrier identification to strategy prioritization under uncertainty.</p>
<p>The methodological machinery is where the study becomes technically distinctive. The researchers deployed a hybrid multi-criteria decision-making pipeline combining the Full Consistency Method, the Decision-Making Trial and Evaluation Laboratory, and Quality Function Deployment, all operating within an interval-valued spherical fuzzy environment. Spherical fuzzy sets extend classical fuzzy logic by adding an explicit hesitancy parameter alongside membership and non-membership degrees, subject to the constraint that the squared components sum to at most one. This gives experts a larger, more flexible decision space than intuitionistic or Pythagorean fuzzy sets, and the interval-valued variant captures the variability inherent when twelve experts must reconcile subjective, linguistically expressed judgments.</p>
<p>An expert panel of twelve, drawn from government, industry, and academia through a purposive sampling process with a 60 percent response rate, validated seventeen candidate obstacles using Lawshe&#8217;s content validity ratio. Eleven survived, and the fuzzy FUCOM analysis then weighted them with striking clarity. The single most influential barrier, at 0.123, was fragmented collaboration among supply chain actors, followed almost immediately by capital constraints on sustainability investment at 0.122. Regulatory misalignment and inadequate governmental incentives rounded out the top four. The message is unambiguous: ESG failure in small logistics firms is less about unwillingness and more about an ecosystem in which no single actor can move alone.</p>
<p>That diagnosis directly shaped the remedy. Eleven mitigation strategies, organized within the technology-organization-environment structure, were mapped against the validated barriers in a House of Quality, with DEMATEL analysis revealing the causal web of interdependencies among them. When the dust settled, one strategy towered above the rest: collaborating with green suppliers and clients, earning a normalized priority of 0.148. Partnering with industry groups and embedding ESG into core corporate strategy followed closely. Notably, carbon footprint accounting software ranked last, suggesting that digital tools alone, however fashionable, cannot substitute for the relational and strategic work of building collaborative capacity.</p>
<p>The robustness testing is unusually thorough for this genre. The researchers varied every barrier weight across a range of minus thirty to plus thirty percent, generating sixty-six alternative scenarios, and the strategy ranking held steady in every one. A comparative assessment against crisp, triangular fuzzy, intuitionistic fuzzy, and spherical fuzzy versions of QFD showed the proposed approach correlating very strongly with spherical fuzzy QFD at a Spearman coefficient of 0.850, while traditional crisp methods managed only a weak 0.373. In other words, the sophistication of the fuzzy machinery is not decorative; it materially changes which conclusions survive scrutiny.</p>
<p>For managers, the practical implications are refreshingly concrete. Rather than attempting every ESG practice at once, the authors recommend phased investment in measures with rapid payback, such as energy-efficient equipment, route optimization, and digital documentation, financed through government grants, green financing, equipment leasing, and cost-sharing with supply chain partners. Joining industry associations and adopting affordable cloud platforms for shared sustainability data can attack the collaboration deficit at low cost. Designating staff to track evolving regulations and folding ESG indicators into existing performance reviews, rather than building separate reporting bureaucracies, addresses regulatory uncertainty without new overhead.</p>
<p>The study also sketches a phased policy roadmap. In the short term, governments should harmonize ESG standards, simplify reporting, and offer incentive-based compliance schemes, an approach the authors note resembles Singapore&#8217;s combination of structured reporting guidance with targeted financial support. Medium-term efforts should build standardized certification and capacity-building programs, drawing on Germany&#8217;s sector-wide logistics coordination. Long term, the goal is an adaptive regulatory ecosystem that embeds sustainability into national logistics strategy, exemplified by the Netherlands&#8217; low-emission logistics zones. For a sector that keeps global commerce moving, the study&#8217;s central finding may prove its most viral idea: the greenest thing a small logistics firm can do is stop trying to go green alone.</p>
<p><strong>Subject of Research:</strong> ESG mitigation strategies for sustainable transition in small and medium-sized third-party logistics providers</p>
<p><strong>Article Title:</strong> Mitigation strategies for addressing environmental, social, and governance challenges in third-party logistics: A sustainable transition perspective</p>
<p><strong>Article References:</strong> Sumrit, D., &amp; Kongsakul, R. (2026). Mitigation strategies for addressing environmental, social, and governance challenges in third-party logistics: A sustainable transition perspective. <em>Cleaner Engineering and Technology, 34</em>, Article 101317. <a href="https://doi.org/10.1016/j.clet.2026.101317" rel="noopener noreferrer">https://doi.org/10.1016/j.clet.2026.101317</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1016/j.clet.2026.101317" rel="noopener noreferrer">10.1016/j.clet.2026.101317</a></p>
<p><strong>Keywords:</strong> ESG, third-party logistics, sustainability transition, SME logistics, fuzzy MCDM, FUCOM, DEMATEL, Quality Function Deployment, institutional theory, resource-based view, TOE framework, green supply chain collaboration</p>
]]></content:encoded>
					
		
		
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