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Enhancing Teachers’ Intercultural Literacy: Examining The Impact Of A Fulbright-Hays Group Projects Abroad Program To Indonesia, Paul R. Wallace Dec 2026

Enhancing Teachers’ Intercultural Literacy: Examining The Impact Of A Fulbright-Hays Group Projects Abroad Program To Indonesia, Paul R. Wallace

Journal of Global Education and Research

The Fulbright-Hays Group Projects Abroad (GPA) Program offers institutional grants to support overseas experiences and curriculum development for educators. The study reported here focused on changes in the intercultural literacy of participants involved in a 4-week Fulbright-Hays GPA Program to Indonesia. Participants in this study included K-12 teachers from public schools and teacher education majors. Before and after traveling to Indonesia, eight participants completed a self-assessment of intercultural literacy, which measured competencies, understandings, attitudes, language proficiencies, participation, and identities deemed necessary for successful living and working in a cross-cultural environment. This article presents the results of the assessment survey, along …

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Changing Expectations In Higher Education Post-Pandemic, Gregory R. Mackinnon, Tyler Maclean, Mohamad El Maouch, William Yuan, Zhao Kaibin, Bi Dandan, Marwa Saab Dec 2026

Changing Expectations In Higher Education Post-Pandemic, Gregory R. Mackinnon, Tyler Maclean, Mohamad El Maouch, William Yuan, Zhao Kaibin, Bi Dandan, Marwa Saab

Journal of Global Education and Research

A sample of higher education students in Canada and China was surveyed and interviewed to ascertain any changes in their educational expectations given their experiences with emergency remote teaching during the pandemic. In addition, the instructors of these students were interviewed to corroborate student feedback. The research suggested that students in Canada and China expressed expectations of increased flexibility and improved pedagogy. Whereas Canadian students were overtly demanding of the instructor and the educational system, Chinese students were comparatively subtle in their expectation that the post-pandemic level of support be maintained. The primary concern of the Chinese cohort was a …

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Advancing Blended Education: Caribbean Lecturers’ Reflective Narratives Of Caution, Creativity, And Change, Mia A. Jules, Donna-Maria B. Maynard, Grace A. Fayombo, Jason E. Marshall, Tanya Newton, Kamilah Hutson, Amanda Kellman, Cherise Bynoe, Mikaila Collymore, Jo-Ann Prosper-Chase, Laura Lee Foster, Adicia Clarke Dec 2026

Advancing Blended Education: Caribbean Lecturers’ Reflective Narratives Of Caution, Creativity, And Change, Mia A. Jules, Donna-Maria B. Maynard, Grace A. Fayombo, Jason E. Marshall, Tanya Newton, Kamilah Hutson, Amanda Kellman, Cherise Bynoe, Mikaila Collymore, Jo-Ann Prosper-Chase, Laura Lee Foster, Adicia Clarke

Journal of Global Education and Research

Blended teaching requires lecturers to constantly self-reflect on their pedagogical practice to enhance student learning. However, there is yet to be a significant corpus of literature that highlights the cognitive resources that lecturers in higher education should possess to effectively use blended learning strategies. It is important to understand the intellectual resources required for blended pedagogy so that such capabilities can be fostered during faculty-training programs; ultimately resulting in innovative strategies to ensure quality learning outcomes and the advancement of university-level blended teaching mandates. This qualitative case study explored how twelve Caribbean lecturers experienced and navigated the teaching process in …

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Visitor Perceptions Of Lampenflora And Implications For Adaptive Show Cave Management: A Case Study From Ryusen-Do Cave, Japan, Kanato Ando, Kazuhide Nakajima, Shuji Watanabe, Masuo Komukai, Hidesato Kuwahara Oct 2026

Visitor Perceptions Of Lampenflora And Implications For Adaptive Show Cave Management: A Case Study From Ryusen-Do Cave, Japan, Kanato Ando, Kazuhide Nakajima, Shuji Watanabe, Masuo Komukai, Hidesato Kuwahara

International Journal of Speleology

Artificial lighting in show caves promotes lampenflora growth, altering cave ecosystems and posing persistent management challenges. Although various control methods have been proposed, their effectiveness and social acceptance remain context dependent. This study investigated visitors’ perceptions of lampenflora through questionnaire surveys and semi-structured interviews to explore adaptive management strategies. Results indicated that visitors generally held positive impressions of lampenflora, but these impressions became more critical after receiving information about its artificial origin and ecological impacts. At the same time, support for conservation-oriented management, including willingness to contribute financially, tended to increase following information provision. Tourism-related evaluations were more strongly associated …

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Did Seismic Events Trigger The Growth Of Aragonitic Speleothems In Mawmluh Cave, North-East India?, Dildi Dildi, Dana Riechelmann Dr., Michael Weber Dr., Anne Jantschke Dr., Regina Mertz-Kraus Dr., Denis Scholz Dr. Oct 2026

Did Seismic Events Trigger The Growth Of Aragonitic Speleothems In Mawmluh Cave, North-East India?, Dildi Dildi, Dana Riechelmann Dr., Michael Weber Dr., Anne Jantschke Dr., Regina Mertz-Kraus Dr., Denis Scholz Dr.

International Journal of Speleology

Mawmluh Cave, north-east India, is located in a seismically very active region within the Himalayas with frequent earthquakes of varying magnitude. So far, speleothems from the cave have mainly been used to reconstruct past monsoon variability. The potential effect of seismic events on speleothem formation in Mawmluh Cave, however, has not been studied in detail yet. We investigated three stalagmites from Mawmluh Cave, each predominantly consisting of calcite overlain by substantially younger aragonite at the top (i.e., an aragonite ‘cap’). 230Th/U-dating shows that the initiation of aragonite growth occurred between 1859 and 1950 CE in agreement with previous studies. The …

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Related Arts Teachers In A Professional Learning Community: On The Phenomenon Of Implementation, Noah Friedman Oct 2026

Related Arts Teachers In A Professional Learning Community: On The Phenomenon Of Implementation, Noah Friedman

Journal of Practitioner Research

In recent decades, the popularity of teacher collaboration and data-driven instructional practices has seen the increased use of the professional learning community (PLC) model as a method for school improvement. Within the PLC framework are singletons, educators who are the only ones who teach their subject in their buildings (Hansen, 2015). In elementary school settings, related arts teams (e.g. music, art, physical education, and so on) are often included in a PLC as an afterthought. To accommodate the distinctive needs of this team, I created an intervention tool and method to provide support to related arts teams as they implement …

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The Role Of Emotions In Understanding Inquiry As Stance, Yun-Chen Yen, Rachel Wolkenhauer Oct 2026

The Role Of Emotions In Understanding Inquiry As Stance, Yun-Chen Yen, Rachel Wolkenhauer

Journal of Practitioner Research

This case study of a Taiwanese teacher candidate’s inquiry experience during her internship uses emotions as a lens for analyzing how she developed and refined her inquiry stance as a critical habit of mind. Using emotions as points of reflection and action, the teacher candidate came to see herself as a responsible and critical generator of knowledge, understood practice as a synthesis of reflection and action, and reframed the purpose of inquiry as elevating student voices and cultivating teacher curiosity. An inquiry community played a critical role in sustaining her engagement and commitment. This study suggests that teacher emotions can …

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Preparing Relational Leaders In Teacher Education: Graduate Student Perspectives On Leadership Practices, Mary Louie Stahl Phd Oct 2026

Preparing Relational Leaders In Teacher Education: Graduate Student Perspectives On Leadership Practices, Mary Louie Stahl Phd

Journal of Practitioner Research

This practitioner research study examines how graduate education students prioritize relational, professional, and reflective leadership practices within a leadership framework used in a graduate teacher education course. While scholarship on care-centered leadership emphasizes the importance of relational trust, authenticity, and kindness in educational leadership, little research has explored how aspiring educators interpret and prioritize these leadership practices during their teacher preparation programs. Institutional Review Board approval was obtained for this study. Ten graduate students enrolled in a Human Learning, Development, and Motivation course completed an optional structured reflective survey based on engagement with a leadership framework. Data were analyzed using …

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Mobile Lidar Scans Of Caves: Methods For Tying In Ground Control Points, Robert E. Salaz, Jake Slyder, Ellen Trautner, Georgia Schneider Oct 2026

Mobile Lidar Scans Of Caves: Methods For Tying In Ground Control Points, Robert E. Salaz, Jake Slyder, Ellen Trautner, Georgia Schneider

Sinkhole Conference 2026

Mapping cave passages using modern techniques such as Light Detection and Ranging (LiDAR) and photogrammetry are still in the juvenile stages. Newer technologies such as Simultaneous Location and Mapping (SLAM) LiDAR and faster computers have enabled speleologists to map caves much faster than traditional methods. From a land management perspective, the ability to efficiently collect detailed cave maps with reasonable precision quickly is crucial for decision making. The ongoing challenge with digital cave mapping using mobile LiDAR and photogrammetry techniques is geolocating the point-cloud underground. Mobile scanning methods can be tied to ground control points on the surface using high …

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Karst Sinkholes And Civil Engineering: Overview Of Characterization And Treatment Options From A Geophysical And Geotechnical Viewpoint, Mia Painter, Stephen Welsh Oct 2026

Karst Sinkholes And Civil Engineering: Overview Of Characterization And Treatment Options From A Geophysical And Geotechnical Viewpoint, Mia Painter, Stephen Welsh

Sinkhole Conference 2026

Sinkholes pose a significant geohazard to civil engineering infrastructure in regions underlain by carbonate karst terrain. Selecting an appropriate stabilization method requires balancing site conditions, infrastructure risk, environmental considerations, and cost, all of which depend on a thorough understanding of the planned or existing infrastructure and subsurface conditions. This paper provides an overview of common sinkhole characterization and stabilization methods used in the Mid-Atlantic and Appalachian regions of the United States from both geotechnical and geophysical perspectives. The application of geophysical methods in conjunction with intrusive investigations is reviewed as a means of reducing subsurface uncertainty and refining treatment designs. …

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Production Variability In The Edwards Aquifer, South-Central Texas, Usa, Jennifer Raye (Adkins) Schudrowitz, Linda K. Bevis Oct 2026

Production Variability In The Edwards Aquifer, South-Central Texas, Usa, Jennifer Raye (Adkins) Schudrowitz, Linda K. Bevis

Sinkhole Conference 2026

The San Antonio Water System (SAWS) serves more than two million people and is among the largest water utilities in the United States. Much of SAWS’s supply is sourced from the Edwards (Balcones Fault Zone) Aquifer (Edwards BFZA), a major sole‑source karst aquifer in south‑central Texas. The aquifer exhibits pronounced spatial heterogeneity in well performance due to its karstic nature, structurally complex setting, and variable depositional facies. Recent severe drought and pumping restrictions have emphasized the need to understand where within the aquifer to drill and how inter‑station performance differs under stress. This study evaluates production variability across SAWS pump‑station …

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Ongoing Dye Tracing Prompts Major Reevaluation Of Groundwater Divides For The Lost River Karst System, Bowling Green, Ky, Usa, Lee Anne Bledsoe, Chris G. Groves, Nick Lawhon Oct 2026

Ongoing Dye Tracing Prompts Major Reevaluation Of Groundwater Divides For The Lost River Karst System, Bowling Green, Ky, Usa, Lee Anne Bledsoe, Chris G. Groves, Nick Lawhon

Sinkhole Conference 2026

The Lost River Groundwater Basin located in south-central Kentucky may be one of the most thoroughly investigated karst basins in the US. Over the past 50 years, numerous studies have been conducted primarily due to the environmental challenges created by urban development on a well-developed sinkhole plain. The City of Bowling Green (pop. ~80,000) covers much of the basin but lies primarily in the northern, downstream reach nearest the main outlet of the system, the Lost River Rise. However, land use in the southern, up-gradient, portion of the basin is quickly changing from undeveloped and/or agriculture to industrial and residential. …

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Brine-Enhanced Hypogenic Speleogenesis And Concentrated Karst Development In The Burton Flats, Eddy County, New Mexico, Dave Decker, Garrett Jorgensen Olague, Michael Jones, Ryan Palmer Oct 2026

Brine-Enhanced Hypogenic Speleogenesis And Concentrated Karst Development In The Burton Flats, Eddy County, New Mexico, Dave Decker, Garrett Jorgensen Olague, Michael Jones, Ryan Palmer

Sinkhole Conference 2026

The Burton Flats, a 259-km² gypsum-dominated outcrop of the Permian Rustler Formation 26 km northeast of Carlsbad, New Mexico, contains more than 3,500 documented karst features — an anomalously high density relative to surrounding areas of equivalent lithology. The proposed explanation is a two-step brine-enhanced dissolution mechanism driven by the spatial intersection of three factors: the eastward-dipping Rustler Formation outcrop, the underlying Capitan Aquifer, and the intervening Permian Salado Formation. Fresh Capitan water dissolves Salado halite, generating an NaCl-enriched brine up to three times more aggressive toward gypsum dissolution than fresh water; this brine ascends into the Rustler Formation along …

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Service Robots With Low Anthropomorphism In Restaurants: Consumer Reactions And Implications, Ferhat Eren, Volkan Genc Oct 2026

Service Robots With Low Anthropomorphism In Restaurants: Consumer Reactions And Implications, Ferhat Eren, Volkan Genc

Journal of Global Hospitality and Tourism

This study investigates consumer responses to low-anthropomorphic service robots in restaurant front of-house roles using the AIDUA (Artificially Intelligent Device Use Acceptance). Data from 1,268  participants were analysed using PLS-SEM. The results revealed that social impact and  anthropomorphism significantly influenced both performance and effort expectancy, while hedonic  motivation influenced only performance expectancy. Performance expectancy strongly influenced  emotions, which in turn significantly influenced both the willingness to use service robots and objections  to their use. However, effort expectancy did not significantly influence emotions. The findings validate the  AIDUA model in this context and offer practical insights for robot design and implementation.

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Cognitive Resilience At The Edge: Hyperdimensional Computing Versus Deep Learning For Hardware-Degraded Rf Classification, Adrian B. Cisneros, Jeong Yang Sep 2026

Cognitive Resilience At The Edge: Hyperdimensional Computing Versus Deep Learning For Hardware-Degraded Rf Classification, Adrian B. Cisneros, Jeong Yang

Military Cyber Affairs

Autonomous Collaborative Combat Aircraft (CCA) operating in contested electromagnetic environments must classify Radio Frequency (RF) signals on edge silicon that degrades over the mission lifetime due to thermal stress, radiation, and manufacturing variation. Deep neural networks dominate RF classification on pristine hardware, but their weights are precise and interdependent, causing catastrophic accuracy collapse as the underlying chip ages. We investigate whether Hyperdimensional Computing (HDC), a brain-inspired paradigm that distributes information across thousands of dimensions, can provide a reliability floor where Deep Learning fails. Using the RadioML 2016.10A dataset filtered to five digital modulations relevant to drone command-and-control links, we trained …

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Hands-On Ransomware: An Experiential Wannacry Case Study For Undergraduate Cybersecurity Education, Eli Creek Richmond, Thomas R. Devine Sep 2026

Hands-On Ransomware: An Experiential Wannacry Case Study For Undergraduate Cybersecurity Education, Eli Creek Richmond, Thomas R. Devine

Military Cyber Affairs

Ransomware represents one of the most disruptive threats in the cyber landscape, yet hands-on malware analysis remains rare in undergraduate cybersecurity curricula. This paper presents the design, implementation, and evaluation of an experiential learning module centered on the WannaCry ransomware case study, deployed in a senior-level course at West Virginia University. Students performed static and dynamic analysis using industry-standard tools. Pre- and post-module assessments demonstrated measurable gains in self-reported competency across seven technical dimensions. The module's competencies align directly with DoD Cyber Workforce Framework Work Role 212, Cyber Defense Forensics Analyst, supporting education-to-workforce pipeline development.

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Breaking The Build: Detecting Software Supply Chain Vulnerabilities In Ci/Cd Pipelines, Mercedes R. Wahl, Dr. Benjamin Yankson Sep 2026

Breaking The Build: Detecting Software Supply Chain Vulnerabilities In Ci/Cd Pipelines, Mercedes R. Wahl, Dr. Benjamin Yankson

Military Cyber Affairs

This study examines whether integrating structured DevSec- Ops security controls into CI/CD pipelines can reduce software supply chain risk by preventing vulnerable components from progressing through the software development lifecycle. Software supply chain attacks frequently originate from weaknesses or compromises within dependencies, build environments, and trusted development stages, making early detection essential. A controlled sandbox experiment compared two pipeline configurations: a baseline CI/CD pipeline with no automated security enforcement and a secure DevSecOps pipeline integrating automated vulnerability scanning, SBOM generation, and artifact integrity verification. A known vulnerable dependency, the Python requests package (version 2.19.0) associated with CVE-2018-18074, was intentionally introduced …

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From Framework To Toolchain: Implementing Zero Trust Architecture In Cloud-Native Environments For Dow Compliance, Shelby C. Snyder Sep 2026

From Framework To Toolchain: Implementing Zero Trust Architecture In Cloud-Native Environments For Dow Compliance, Shelby C. Snyder

Military Cyber Affairs

Federal agencies face a fiscal year 2027 target for enterprise-wide Zero Trust deployment, but NIST SP 800-207A defines logical components without identifying the Kubernetes technologies that implement them. This paper proposes a three-tier mapping of the Policy Engine, Policy Administrator, and Policy Enforcement Point to service mesh, microsegmentation, and perimeter tooling, stating the criteria by which each component is classified. It then applies a defined rubric to six Zero Trust vendors across component alignment, Kubernetes capability, federal authorization posture, and evidence quality, finding that no single vendor covers all three tiers. The mapping is a testable architectural proposition; a Stage …

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Hybrid Deep (Cnn-Bilstm) Intrusion Detection For Defense And Mission-Critical Networks, Corey A Cheng, Jermaine Anim-Addo, Asma Jakir Hussain, Zion O Smith-Fox, Sanjay Goel, Yuksel Celik Sep 2026

Hybrid Deep (Cnn-Bilstm) Intrusion Detection For Defense And Mission-Critical Networks, Corey A Cheng, Jermaine Anim-Addo, Asma Jakir Hussain, Zion O Smith-Fox, Sanjay Goel, Yuksel Celik

Military Cyber Affairs

This article examines how hybrid deep learning can strengthen intrusion detection for military and defense networks. Using the CSE-CIC-IDS2018 dataset, the study evaluates a CNN-BiLSTM model designed to detect benign traffic and multiple attack categories, including DDoS, DoS, botnet, brute-force, web attack, and infiltration activity. The model achieved strong multi-class detection performance, with 0.9893 accuracy and 0.9979 ROC-AUC. The findings suggest that AI-supported intrusion detection can improve cyber defense operations, analyst triage, and protection of mission-critical networks.

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Are Large Language Models Safe? A Vulnerability Analysis Of Generated Source Code, James Richards-Perhatch, Mitchell Milander, James M. Halvorsen, Assefaw Gebremedhin Sep 2026

Are Large Language Models Safe? A Vulnerability Analysis Of Generated Source Code, James Richards-Perhatch, Mitchell Milander, James M. Halvorsen, Assefaw Gebremedhin

Military Cyber Affairs

The increasing complexity of software and demands for rapid deployment have pushed the software industry to rely more on large language models (LLMs) in developing source code. However, as this technology is still relatively recent, questions can arise about the safety of the generated code. This paper presents an analysis of seven LLMs with respect to the presence of vulnerabilities within source code. Our findings show that LLMs are more likely to produce vulnerable web applications than vulnerable C programs, and that vulnerabilities are more likely to occur when program size and complexity increases.

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Characterizing Advanced Persistent Threats With Cyber Attack Flow Metrics, Tyler Miller, Caleb Chang, Shouhuai Xu Sep 2026

Characterizing Advanced Persistent Threats With Cyber Attack Flow Metrics, Tyler Miller, Caleb Chang, Shouhuai Xu

Military Cyber Affairs

Cyber attack campaigns vary not only in scale but in structure, yet conventional characterizations often reduce them to a single dimension such as technique count or impact severity. In this paper we extend the concept of cyber attack flows by defining three new metrics, novelty, technique complexity and flow complexity. Then we characterize the attack flows of three advanced persistent threat campaigns using these metrics and draw insights regarding their capabilities. Our findings include that low novelty does not equate to low attack capabilities and that exploitation of an internet-facing appliance is a common initial attack vector.

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Semantic Shields: Automating Critical Infrastructure Defense Via Nlp-Driven Ransomware Profiling, Henry Trowbridge, Ian Zalcberg, Ryan Schley, Carter Yagemann, Natasha Phan, Srikar Maduposu, Vimal Buck Sep 2026

Semantic Shields: Automating Critical Infrastructure Defense Via Nlp-Driven Ransomware Profiling, Henry Trowbridge, Ian Zalcberg, Ryan Schley, Carter Yagemann, Natasha Phan, Srikar Maduposu, Vimal Buck

Military Cyber Affairs

Ransomware poses a growing threat to critical infrastructure, where successful attacks can disrupt operational technology (OT) and industrial control systems (ICS) with significant public safety consequences. However, attributing ransomware incidents to specific threat actors remains challenging due to ransomware-as-a-service ecosystems, actor rebranding, and the obfuscation of traditional indicators of compromise. This paper presents Semantic Shields, an NLP-driven attribution framework that leverages BERT-generated semantic embeddings and DBSCAN clustering to profile ransomware actors through the linguistic characteristics of ransom notes. Using a dataset of 295 ransom notes from 189 distinct threat groups, the framework achieved an 87.2% true positive clustering rate and …

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Closing The Interpretability Gap: Explainable Ml-Based Malware Detection For Defensive Cyberspace Operations, Tashi Stirewalt, Sean Hodgson, Puumaaya Tahiru, Assefaw Gebremedhin Sep 2026

Closing The Interpretability Gap: Explainable Ml-Based Malware Detection For Defensive Cyberspace Operations, Tashi Stirewalt, Sean Hodgson, Puumaaya Tahiru, Assefaw Gebremedhin

Military Cyber Affairs

This paper presents an end-to-end, explainable malware triage pipeline designed for defense-oriented cyber operations. It combines high-performance static detection methods with analyst-centered interpretability. Utilizing the EMBER 2024 Windows PE subset, we train and evaluate four classifiers and select LightGBM as the production model based on its predictive performance, inference efficiency, and compatibility with exact tree-based attribution. The deployed system consists of four sequential components: PE feature extraction, malware probability scoring, dual explainability (using SHAP and LIME), and large language model (LLM) report generation, all integrated within a Flask web interface. On a temporal test set of 1,080,000 samples, LightGBM achieves …

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Llm-Generated Countermeasures For Iot Cyberattacks, James Alger, Michael Tu Sep 2026

Llm-Generated Countermeasures For Iot Cyberattacks, James Alger, Michael Tu

Military Cyber Affairs

The rapid expansion of the Internet of Things (IoT) has introduced significant cybersecurity challenges, particularly for resource-constrained devices that traditional intrusion detection systems often fail to protect effectively. This paper proposes a novel, two-phase autonomous security pipeline designed to bridge the gap between probabilistic threat detection and deterministic network enforcement. The framework first utilizes a custom Time Series Transformer (TST) to classify multivariate network traffic and identify specific attack vectors, such as ransomware, SQL injections, and malicious file uploads. In the second phase, an agentic AI layer, comprising a locally hosted Large Language Model (LLM) orchestrated via LangGraph, processes the …

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Foreward, Todd Arnold Sep 2026

Foreward, Todd Arnold

Military Cyber Affairs

No abstract provided.

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Letter From The Director: Mastery In Practice, Joseph Schafer Sep 2026

Letter From The Director: Mastery In Practice, Joseph Schafer

Military Cyber Affairs

No abstract provided.

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Market Orientation And Strategic Performance In Global Firms: A Sequential Mediation Model Of Innovation And Supply Chain Resilience, Meisam Karami Sep 2026

Market Orientation And Strategic Performance In Global Firms: A Sequential Mediation Model Of Innovation And Supply Chain Resilience, Meisam Karami

Journal of Global Business Insights

This study examines how market orientation is associated with strategic performance in globally operating firms through the sequential mediating roles of innovation and supply chain resilience. Drawing on the Resource-Based View and Dynamic Capabilities Theory, the research proposes a capability-sequencing framework in which market orientation reflects a sensing capability, innovation represents a seizing capability, and supply chain resilience embodies a reconfiguring capability that stabilizes value creation under environmental disruption. Using cross-sectional survey data from 356 manufacturing and service firms engaged in international activities, partial least squares structural equation modeling was employed to test the hypothesized relationships. The results indicate that …

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The Competence Architecture Of Nonprofit Organizations: A Conceptual Model Linking Leadership, Governance, And Human-Capital Systems To Institutional Credibility, Franklin Livingston Sep 2026

The Competence Architecture Of Nonprofit Organizations: A Conceptual Model Linking Leadership, Governance, And Human-Capital Systems To Institutional Credibility, Franklin Livingston

Journal of Global Business Insights

Nonprofit organizations are judged through the competence of visible leaders, yet organizational competence is not reducible to the capabilities of any single executive. Reviews of nonprofit capacity report inconsistent associations between organizational capacity and performance. This conceptual article proposes a theoretical explanation for that inconsistency, one that remains compatible with methodological explanations. It develops a model of nonprofit competence architecture in which competence is an output that organizational systems continuously produce, correct, retain, and make visible, not a stock organizations possess. A theory-synthesis design specifies four mechanisms: Leadership-formation systems generate managerial capability; governance systems detect and partially compensate for capability …

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Technological Appropriation As A Strategic Policy In Smes: Building Anticipatory Capabilities For Digital Transformation, Hernán Cornejo Sep 2026

Technological Appropriation As A Strategic Policy In Smes: Building Anticipatory Capabilities For Digital Transformation, Hernán Cornejo

Journal of Global Business Insights

Abstract: Technological appropriation has become a critical strategic issue for small and medium-sized enterprises (SMEs) undergoing digital transformation. While many SMEs adopt digital tools to address immediate operational needs, fewer succeed in embedding them into organizational routines, strategic decision-making, and long-term adaptation. This study examines technological appropriation as a key mechanism through which SMEs convert digital adoption into strategic organizational capability. Drawing on the literature on technological appropriation, dynamic capabilities, and strategic foresight, the paper proposes and empirically tests an integrated model. A mixed-methods design was employed, combining a survey of 198 SMEs from Argentina, Chile, and Colombia with 15 …

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Algorithms In Battle: Ai, International Relations, And Future Warfare, Nikos Koutsoupias, Kyriakos Mikelis, Marios Nosios Sep 2026

Algorithms In Battle: Ai, International Relations, And Future Warfare, Nikos Koutsoupias, Kyriakos Mikelis, Marios Nosios

Journal of Strategic Security

This study examines the role of artificial intelligence (AI) in transforming contemporary warfare, with a particular emphasis on its applications in unmanned aerial platforms, sensor networks, and decision-support architectures. The analysis examines current operational uses, the algorithmic processes that enable them, and empirical insights drawn from the Russian-Ukrainian War. Findings indicate that machine learning enhances key military functions, including surveillance, navigation, targeting, fire coordination, and maintaining communication networks under conditions of electronic disruption. The emergence of loitering munitions and autonomous navigation systems reflects a pattern of incremental innovation, wherein automation augments operational efficiency without displacing human authority in decisions involving …

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