Search Results (3,956)

The transition toward urban-scale digital twin and smart city management requires survey-grade 3D basemaps, yet conventional documentation remains time-consuming and prone to inaccuracies. While Terrestrial Laser Scanning (TLS) offers rapid 3D acquisition, capturing complex, GNSS-denied multi-story interiors frequently causes cumulative registration errors and isolated indoor–outdoor data silos. To address this, this study proposes a comprehensive typology-agnostic framework for developing high-fidelity digital twin basemaps. Treating the building as a unified spatial network, the methodology systematically mitigates error propagation through strategic linkage planning, rigid shell-first registration, continuous vertical core anchoring (via stairwells), and adaptive multi-source data fusion. Implemented on an adaptively reused heritage building, the developed basemap achieved an absolute georeferencing accuracy of 30.0 mm (RMSE) against an independent total station control network, alongside a mean relative error of 3.11 mm. Comparative analysis against legacy 2D CAD floor plans revealed simplified geometric representations and categorical dimensional deviations of up to 29.8 cm. Demonstrating its practical utility, the point cloud-centric geometric hub avoids forced geometric idealization, successfully supporting direct immersive visualization, architectural slicing (floor plans, sections, elevations), and multi-LOD algorithmic planar segmentation. This spatially constrained acquisition strategy bypasses legacy limitations, delivering a mathematically verified 3D reality capture essential for smart facility management, heritage conservation, and downstream semantic intelligence. Full article

Small and medium-sized enterprises (SMEs) in emerging markets face a critical challenge: how to leverage digital transformation to improve efficiency and sustain competitive advantage despite constrained financial and human resources. This study addresses this problem by examining how distinct dimensions of digital transformation affect SME operational efficiency and, in turn, sustained competitive advantage. Grounded in the Resource-Based View (RBV) and Industrial Organization-Based Strategy (IO), the present study conceptualizes digital transformation through three theoretically distinct sub-dimensions, digital strategic orientation (DSO), digital adaptive capability (DAC), and digital technology sophistication (DTS), and model operational efficiency as a mediating pathway to sustained competitive advantage. Data collected via a structured survey administered to 216 Turkish manufacturing and service SMEs operating in Istanbul were analyzed using variance-based structural equation modeling (PLS-SEM) with SmartPLS 4. The findings reveal that all three digital transformation sub-dimensions positively and significantly influence operational efficiency, which in turn strongly predicts sustained competitive advantage. A formal mediation analysis confirms that operational efficiency mediates the effects of all three digital transformation dimensions on sustained competitive advantage, with partial mediation for digital strategic orientation and indirect-only mediation for digital adaptive capability and digital technology sophistication. These results advance theoretical understanding by demonstrating that digital transformation operates as a capability-building process consistent with RBV logic, and that strategic digital orientation, rather than technological sophistication, is the dominant driver of efficiency gains. Practically, the findings indicate that SMEs should prioritize embedding digital strategy into corporate planning, developing structured digital upskilling programs for managers and employees, and investing in scalable cloud-based and AI-enabled infrastructure to achieve cost efficiency and competitive positioning. Full article

Global supply chains face increasingly frequent disruptions, which require organizations to strengthen supply chain resilience (SCR). Drawing on Organizational Information Processing Theory (OIPT), this study examines how digital transformation and organizational learning combine to enhance SCR. Using data from 61 Chinese high-technology firms, fuzzy-set qualitative comparative analysis (fsQCA) identifies two pathways to high SCR. The first is an ambidextrous learning-driven pathway. Exploitative and exploratory learning jointly help firms refine existing routines and develop adaptive responses to disruption-induced uncertainty. The second is a digitally driven pathway. Digital strategic planning and digital ecosystem coordination help firms structure disruption-related information and coordinate responses across supply chain partners. The configurations for non-high SCR further show that exploratory learning is important for interpreting unfamiliar signals and generating adaptive responses. These findings extend OIPT by showing that SCR emerges from distinct forms of fit between information processing requirements and organizational capabilities. They therefore provide a configurational explanation of resilience formation under uncertainty. Full article

Digital transformation in higher education requires integrated designs connecting strategy, governance, infrastructure, interoperability, applications, cybersecurity, accessibility, analytics, and continuous improvement. This study analyzes the Integrated University Digital Transformation Model implemented at Universidad Técnica de Machala, Ecuador, between 2023 and April 2026. A qualitative embedded case study with a design-science orientation examined institutional documents, technical records, governance evidence, cloud migration reports, interoperability mechanisms, system descriptions, analytics outputs, and cloud security assessment records through thematic analysis, process tracing, and artifact evaluation. Findings showed alignment between the Strategic Information Technology Plan and institutional planning; formal IT governance and information security structures; an API- and microservices-based architecture; a staged migration of 52 institutional servers in four operational lots, with documented post-migration monitoring indicating 99.85% average server uptime and no critical incidents attributable to the migration during the monitored period; an automated and traceable admission allocation process within a broader portfolio of integrated academic–administrative systems; and dashboards supporting evidence-informed decisions. MMGSI-Cloud complemented the architecture by assessing governance capabilities, identifying improvement priorities, and linking findings to an institutional roadmap. The case indicates that university digital transformation is strengthened when technological implementation is integrated with formal governance, systematic assessment, evidence-based planning, and institutional accountability. Full article

Digital Twin (DT) technologies are increasingly transforming maritime and port systems by enabling real-time monitoring, predictive analytics, operational optimisation, and sustainability-oriented decision-making. Despite growing academic and industrial interest, the integration of DTs into sustainable maritime ecosystems remains fragmented, particularly in assessing digital maturity and sustainability performance. This study follows the PRISMA 2020 methodology to systematically review 26 peer-reviewed studies from Scopus and Web of Science. Through thematic synthesis, based on inductive coding and the identification of recurring patterns across the reviewed studies, four Digital Twin dimensions and a four-level maturity framework supported by Key Performance Indicators (KPIs) were derived: smart port development, artificial intelligence integration, energy optimisation, and environmental governance. Based on the findings, the study proposes a DT Maturity Framework for sustainable maritime systems, structured across progressive levels of technological integration, operational intelligence, sustainability alignment, and governance capacity. The framework provides an operational, multidimensional approach to assessing DT maturity across heterogeneous maritime ecosystems. The study contributes to the emerging literature on sustainable maritime digitalisation by offering a systematic conceptual synthesis that can support future research, strategic planning, and policy development in smart and sustainable port ecosystems. The proposed framework constitutes a conceptual assessment model whose empirical validation is identified as a priority for future research. As a literature-derived conceptual assessment model, the proposed framework requires empirical validation before its maturity levels and associated KPIs can be considered empirically established. Full article

Context: The Agile methodology has been prevalent in the software industry for more than two decades, marking a shift from plan-driven to market-driven approaches and introducing various challenges. While the literature identifies numerous challenges in Agile development, little attention has been given to their ranking and prioritization, which are critical for effective project management and decision making. This study fills this gap by combining empirical evidence from the literature and practitioners. Objectives: This study aims to identify and hierarchically prioritize the most recent challenges faced by Agile practitioners during product development. To achieve this, a Systematic Literature Review (SLR) was conducted using 115 published studies between 2010 and 2025 followed by empirical data collection from 30 Agile experts through semi-structured interviews conducted with practitioners from Agile companies and an online survey. This study applies Cumulative Voting (100-Dollar Test) and Multi-Criteria Decision Making (MCDM) techniques to rank and prioritize these challenges. Results: The SLR identifies several recurring Agile challenges; however, limited research has focused on their ranking and prioritization. The present study reveals new challenges, such as user interface complexities, lack of pre-development and pre-operational cost information, and lack of cost scalability at the module and feature levels. The current study identifies Inadequate Architecture (22%), Lack of Standardized Framework (18%), Communication and Coordination (16%), Poor Requirement Verification (13%), and Minimum Documentation (8%) as the most significant challenges. Conclusions: This study provides valuable insight for Agile practitioners and organizations, enabling more informed project planning, resource allocation, and strategic decision making. By focusing on the most critical challenges, teams can enhance software quality, streamline processes, and improve overall productivity in Agile environments. Full article

The European Union’s REPowerEU Plan (2022) targets 10 million tonnes of renewable hydrogen imports by 2030, catalyzing an unprecedented cascade of bilateral green hydrogen partnerships with countries across the Middle East and North Africa (MENA) and Sub-Saharan Africa (SSA). Despite the strategic and developmental significance of these partnerships, the literature has treated hydrogen largely as a techno-economic or single-country problem, leaving the diplomatic architecture and equity dimensions of EU–MENA–SSA hydrogen diplomacy under-theorized and unmeasured. This study addresses these gaps by integrating energy-security realism, regime-complex theory, and critical political ecology into a synthetic framework, and by introducing two novel empirical instruments: a hand-coded dataset of 26 in-scope bilateral hydrogen agreements (2020–2024) and a fully specified protocol for a Green Hydrogen Diplomacy Equity Index (GHD-EI). A longitudinal dyad-year panel skeleton (27 EU importers × 36 MENA/SSA exporters, 2015–2026, 11,664 dyad-year cells) has been constructed to host a planned multi-method quantitative sequence, structural gravity PPML, staggered difference-in-differences, synthetic control, exponential random graph models, and causal forests whose execution against fully populated covariates is reserved for a subsequent paper. This paper is accordingly framed as a data descriptor and specified analytical protocol, reporting descriptive and structural findings from the 26 in-scope agreements: a 2022 inflection synchronized with REPowerEU and COP27; importer-side concentration on Germany (34.6% of agreements) and EU-level framework partnerships (34.6%)—two distinct actors jointly accounting for 69.2%—and a small, statistically non-significant difference in mean partnership depth between MENA (n = 18, M = 3.22) and SSA (n = 8, M = 3.25) exporters (Welch t = −0.08, p = 0.94; Cohen’s d = −0.04). The comparison is likely under-powered (power ≈ 0.20–0.44) given the small SSA cell and reported here as a tentative pattern. At this stage, the study contributes a cross-regional agreement dataset, a fully specified equity-indicator protocol, and a theoretical framework for subsequently evaluating whether the green hydrogen transition advances just internationalism or reproduces green-extractivist patterns. Full article

Green urban renewal requires coordination among climate adaptation, water management, biodiversity conservation, and spatial planning within coherent policy frameworks. This study presents a structured analytical framework for evaluating how nature-based solutions (NbS) and natural water retention measures (NWRM) are represented in local and national policy documents relevant to green urban renewal, using Zagreb, Croatia, as a case study. The analysis combined qualitative content analysis, semi-quantitative assessment, and comparative policy-coherence analysis of strategic, planning, and legislative documents. Recent strategic documents showed the broadest documentary coverage of climate adaptation, biodiversity conservation, sustainable water management, and green infrastructure, whereas legislative and statutory planning documents contained more function-specific provisions. Economic feasibility, adaptive management, and several implementation-related provisions were less consistently represented. Cross-level comparison further identified stronger alignment between several recent Zagreb strategic documents and national climate and water policy documents. The study contributes a structured adaptation of IUCN-derived criteria for cross-level policy-document analysis; its applicability in other legal and urban contexts requires comparative testing. Full article

The popularity of electric vehicles (EVs) is growing at a fast pace, creating a need for the strategic deployment of charging stations (CSs) to provide enough coverage, cost effectiveness, and compliance with grid and urban planning regulations. The deployment of large-scale infrastructure under multiple, often conflicting constraints remains a challenging engineering decision-making problem. In this paper, we propose a hybrid optimization framework that combines greedy initialization with reinforcement learning to efficiently explore the charging station deployment problem. The proposed approach employs Q-learning and Deep Q-Network (DQN) agents to iteratively refine the initial deployment while simultaneously optimizing deployment cost, charging demand coverage, and operational utility under practical planning constraints. The constraints include grid capacity limitations, renewable energy utilization, and fairness considerations. The proposed framework is evaluated in realistic urban scenarios. The experimental results demonstrate that the reinforcement learning (RL) approach achieves superior trade-offs among competing objectives compared to baseline heuristic strategies, while maintaining computational scalability for large candidate location sets. The proposed framework demonstrates stable performance across three evaluated deployment scenarios, indicating its potential applicability to increasingly complex charging infrastructure planning problems. The proposed methodology is scalable to other complex engineering planning and resource allocation problems characterized by multi-objective trade-offs and dynamic constraints. Beyond improving optimization performance, the proposed framework contributes to sustainable transportation planning by supporting the efficient deployment of electric vehicle charging infrastructure. Optimized charging station placement promotes greater accessibility to charging services, encourages electric vehicle adoption, reduces unnecessary travel associated with charging activities, and contributes to lower greenhouse gas emissions. Consequently, the proposed methodology provides decision-makers with a scalable and intelligent planning tool that supports the transition toward more sustainable and energy-efficient urban mobility systems. Full article

Management accounting systems (MASs) are essential to organisations because they provide high-quality information that supports planning and decision-making when it is relevant, timely and reliable. The effectiveness of MAS depends on the delivery of relevant, timely, and understandable information, yet organisations often fail to evaluate the quality of these services systematically, thereby limiting their strategic impact. Our study addresses the underexplored area of MAS service quality, focusing on internal dynamics within accounting departments and gaps in service provision. We conduct a gap analysis within a single consistent cultural environment (Slovenia) to assess the functioning of accounting services. In our study, the statistically significant preparer–user mismatch is concentrated in the reliability dimension. The findings suggest that reliability should be prioritised in efforts to improve MAS service quality. We discuss practical implications for strengthening MAS service quality, particularly through data integrity, reporting reliability, process standardisation and user expectation management. Full article

The participating municipality plays a central role in coordinating strategic planning, resource allocation, stakeholder engagement, monitoring, and digital governance to promote sustainable tourism development. However, limited empirical evidence exists on how these governance functions collectively operate as an integrated institutional capability. This study proposed and empirically assessed Institutional Strategic Planning Capability (ISPC) as a higher-order governance construct and examined its relationships with Collaborative Governance, Smart Destination Readiness, and Perceived Sustainable Tourism Development Performance in the Provincial Municipality Daniel Alcides Carrión, Peru. The conceptual framework was developed by integrating Dynamic Capabilities Theory, Stakeholder Theory, and the municipal tourism governance literature. A quantitative, explanatory, cross-sectional research design was employed using questionnaire data collected from 120 municipal employees involved in planning, finance, tourism, infrastructure, environmental management, and administration. The proposed framework was evaluated using Partial Least Squares Structural Equation Modeling (PLS-SEM) with 5000 bootstrap resamples. The higher-order ISPC construct was empirically assessed through indicator reliability, internal consistency, convergent validity, discriminant validity, and higher-order construct assessment before evaluating the structural relationships, explanatory capability, and predictive performance of the model. The results demonstrate satisfactory initial measurement evidence across all constructs. ISPC exhibited significant positive relationships with Collaborative Governance and Smart Destination Readiness, while both governance mechanisms were positively associated with Perceived Sustainable Tourism Development Performance. The structural model demonstrated satisfactory explanatory power and predictive capability within the study context. The findings should be interpreted within the limitations of a cross-sectional, perception-based study conducted in a single municipality. The study contributes conceptually by proposing ISPC as an integrated higher-order governance construct and provides context-specific empirical evidence supporting evidence-based municipal tourism planning in the Peruvian context. Full article

Offshore wind energy droughts are quantified at eight strategic sites using a Standardized Renewable Energy Production Index referenced to an 86-year-ERA5 baseline. Events are extracted via multi-threshold run theory and projected to 2100 using bias-corrected CMIP6 models under SSP2-4.5 and SSP5-8.5. Drought climatology shows that mean drought duration and severity exhibit spatial heterogeneity, peaking in the Aegean–Cretan sector. Under future warming, a robust, false-discovery-rate-controlled intensification is predominantly concentrated in the central–western basin, associated with structural shifts toward weaker, heavy-tailed wind distributions. The Sicily Channel and Gulf of Lion emerge as hotspots for drought intensification, exhibiting consistent annual total duration increases of up to 20% and 15%, respectively, under the SSP5-8.5 scenario. Winter droughts across the basin are associated with a complex interplay of the AO, NAO, EA, and EA/WR teleconnections, alongside a pronounced winter MOI influence in the west. Summer droughts in the Aegean–Cretan sector are strongly coupled with the weakening of the MOI, reflecting the collapse of the basin-scale pressure gradient that sustains the Etesian winds. The central–western Mediterranean emerges as a key region for adaptive, long-duration energy storage planning, whereas the climatology of the eastern basin remains a defensible baseline for future capacity design. Full article

Historic gardens are among the cultural heritage assets most vulnerable to climate change because their significance depends on the continuous interaction between living ecological systems, designed landscapes and cultural values. Although international policies increasingly advocate the integration of climate adaptation into heritage management, operational methodologies capable of systematically incorporating climate risk into the conservation planning of historic gardens remain limited. This paper develops the Historic Garden Climate Risk Management Framework (HG-CRMF), a multi-scale, heritage-centered methodological framework designed to integrate climate risk management within existing Conservation Management Plans (CMPs). The framework was developed through the synthesis of international heritage conservation principles, climate adaptation policies, environmental risk assessment methodologies and adaptive governance approaches. Its principal innovation lies in combining strategic conservation planning at the scale of the historic garden with operational implementation through Garden Conservation Units (GCUs), spatially coherent heritage entities that enable site-specific assessment of heritage values, climate hazards, exposure, vulnerability, adaptation measures and monitoring indicators. The HG-CRMF provides a structured workflow linking heritage significance, climate risk assessment, adaptation planning, monitoring and adaptive governance within a single decision-support methodology. Rather than constituting a stand-alone adaptation strategy, the framework strengthens existing conservation planning by embedding climate-informed decision-making into routine management processes. Full article

South Africa’s updated Nationally Determined Contribution sets a 2030 emissions ceiling of 420 MtCO₂. Using historical data from 2000 to 2023 and projections to 2050, this study identifies optimal decarbonization pathways by integrating logistic decay model, linear programming, genetic algorithm optimization (Decay–LP–GA), and Pareto analysis. A prior study notes that 2023 emissions lie substantially below the NDC ceiling, leaving 239.1 MtCO₂ of unused carbon space. However, the present study finds that optimized pathways transcend rather than utilize this space, achieving 67–85% emissions below 2023 levels. Notably, aggressive near-term coal phase-out increases 2050 emissions by disrupting efficiency investment, indicating that timing governs long-term outcomes. The optimal strategy therefore prioritizes slow near-term coal reduction (0.69% annually) to allow front-loaded efficiency gains (4.46% annually) through 2035, followed by accelerated phase-out to achieve 96% reduction by 2050. This sequencing reduces cumulative emissions by 8.0% (300 MtCO₂) relative to the LP minimum. The Pareto frontier spans 51.5–92.6 MtCO₂ in 2030 and 52.8–64.2 MtCO₂ in 2050, with all Pareto-optimal solutions requiring coal shares below 40% by 2030, conflicting with Integrated Resource Plan constraints. Consequently, maintaining a ≥40% coal floor raises minimum feasible emissions to 101.5 MtCO₂, generating a 22.8–49.4 MtCO₂ feasibility gap. The findings show that optimal strategy is not to use its remaining carbon space, but to render the 420 MtCO₂ target redundant through front-loaded efficiency gains and strategically timed coal phase-out, providing clear direction for sustainable climate finance. Full article

Historic urban manufacturing territories are increasingly being reconsidered as strategic components of metropolitan sustainability rather than obsolete remnants of industrial economies slated for redevelopment. While these districts have long been associated with pollution, environmental degradation, and post-industrial decline, growing interest in circular economy strategies, Urban Resource Recovery (URR), and climate adaptation has renewed attention to their territorial significance. Using the North Brooklyn Industrial Business Zone and the Newtown Creek watershed as a case study, this paper argues that certain historic manufacturing territories possess an inherent capacity to evolve into Metropolitan Metabolic Infrastructure because of inherited geographic, infrastructural, and institutional characteristics, including waterfront access, freight networks, industrial zoning, large industrial parcels, and utility systems. Drawing upon research developed through the New York City Department of Design and Construction’s Town+Gown Urban Resource Recovery Working Group, the study combines historical analysis, spatial interpretation, planning policy, and case-study research to examine the evolving relationship among urban metabolism, circular economy, environmental justice, and Healthy Cities. Rather than advocating industrial preservation irrespective of environmental performance, the paper argues that these territories can support metropolitan material circulation while advancing cleaner industrial practices, environmental remediation, and more equitable urban development. The Metropolitan Metabolic Infrastructure framework offers a planning perspective for understanding how inherited manufacturing landscapes may contribute to resilient, circular, and healthier metropolitan regions while informing future comparative research on industrial territories undergoing similar transitions worldwide. Full article