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Item type:Publication, The Double Side of IA: How Automated Decision Making Challenges Confidence and Increases AnxietyArtificial intelligence has begun to permeate managerial decision-making, yet many organizations remain hesitant to rely on algorithms when choices carry significant consequences. To clarify the roots of this hesitation, we conducted a systematic review of 37 peer-reviewed studies published between 1970 and 2024, following the PRISMA-2020 protocol. The evidence was organized into seven interrelated themes spanning technical design, organizational structures, ethical safeguards, and the psychological climate in which managers operate. Results reveal that adoption is driven less by raw performance claims than by the degree of trust managers place in AI tools. That trust rests on three pillars: transparent and reliable system behavior, a clear perception of usefulness and ease of use, and explicit protections against bias. When any pillar is weak, anxiety about ceding control grows, dampening adoption intentions. Drawing these strands together, we propose an integrative framework that pairs cost-efficient, explainable architectures with user-centered training and governance mechanisms. The framework not only lowers technical barriers but also addresses the human and ethical concerns that most often stall implementation. By illuminating how technological, organizational, and psychological factors interact, the study offers a pragmatic roadmap for managers seeking to harness AI while safeguarding stakeholder confidence. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Data-Driven Profiling of Reading Processes in Secondary Students: Learning Analytics Insights From PROLEC AssessmentThe integration of Learning Analytics (LA) into traditional psychometric assessments offers a transformative path for personalizing secondary education. This study proposes a “psychometric-first” analytical pipeline that converts item-level responses from the PROLEC-SE-R battery into actionable learner models for Interactive Learning Ecosystems (ILE). Using data from 256 Ecuadorian secondary students, we applied Categorical Principal Component Analysis (CATPCA) to address the ordinal nature of the psychometric data, identifying four latent dimensions of reading: lexical, syntactic, semantic, and integration processes. Subsequently, a k-means clustering algorithm identified three distinct cognitive profiles: At-Risk (12.0%), Average (56.8%), and High-Performance (31.2%). The internal validity of these clusters was confirmed through a Davies-Bouldin index of 1.206 and stability analysis via Jaccard bootstrapping. To bridge the gap between psychometric profiling and Human-Computer Interaction (HCI), we developed a rule-based mapping for UI/UX adaptations, where profiles trigger differentiated scaffolding—such as intensive audio-support for at-risk students and complex inferential challenges for high-performers. Results demonstrate that this scalable approach provides a theoretically grounded alternative to hardware-dependent analytics (e.g., eye-tracking) in low-resource contexts. This study contributes to the field of educational data mining by operationalizing latent cognitive features into dynamic instructional interventions, fostering more inclusive and adaptive digital learning environments. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Analysis of Age to First Calving in Ecuadorian Charolais Cattle Using Linear and Survival Models(Springer Nature Switzerland, 2026); Vargas-Jurado, Napo-leónThe Charolais breed has successfully adapted to the Amazonian conditions of Ecuador. The implementation of reproductive and molecular biotechnologies has positioned this breed as the most genetically significant for improvement programs in the region. The objective of this study was to estimate genetic parameters for age at first calving (AFC) under Normal and survival models. Data included animals born between 2010 and 2021, with calving records spanning from 2012 to 2024. The total number of records was 700 after editing. Sire and animal models were considered for the analysis of AFC. The mean AFC was 3.44 years with a standard deviation of 1.19 years. Contemporary group had a significant effect on AFC, but type of cross and multiple ovulation and embryo transfer status had no impact. Under normality assumptions, heritability estimates ranged from 0.17 to 0.21 for sire and animal models, respectively. On the other hand, for the Weibull survival model heritability ranged from 0.45 to 0.74 for sire and animal model, respectively. Estimates for the sire and animal models under Normal assumptions were similar to those reported in literature and thus suggest appropriate model fit. This constitutes an additional step into routine genetic evaluation in Ecuadorian beef cattle. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Electronic Word of Mouth and Sustainability: A Bibliometric Approach(Springer Nature Switzerland, 2026); ; ; Guadalupe-Lanas, JorgeElectronic word of mouth (eWOM) is a type of human-computer interaction that comprises simple, two-way communication, disseminating information about companies, brands, and products through digital spaces. Given the significant interest in eWOM, various extant studies have sought to structure this field of study through a bibliometric approach. As the literature on eWOM has continued to grow, bibliometric studies on eWOM have begun to be specialized. Following this line of work, the present bibliometric study seeks to unravel eWOM’s structure as it applies to sustainability, a topic of great current importance. Using the Scopus database, 1,968 documents were identified. Descriptive and productivity analyses characterize the field of eWOM and sustainability as a rapidly growing and multidisciplinary field, in which China and the United States stand out in the literature. Science mapping analyses have identified four clusters of terms associated with research lines: 1) human behavior in eWOM, 2) social aspects of eWOM and sustainability, 3) eWOM’s impact on sustainability and tourism, and 4) eWOM’s technological aspects and measurement. The overlay visualization of term analysis reveals an evolution in research interest, progressing from technological aspects, through economic and behavioral aspects, to the current emphasis on sustainability and tourism. Finally, this study discusses these results’ implications for theory and practice. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Consumer Behavior in Health Wearables Technologies: A Bibliometric Approach(Springer Nature Switzerland, 2026); ; Health Wearable Technologies (HWT), including smartwatches, fitness trackers, and telehealth platforms, have become a new generation of tools for preventive healthcare and chronic disease management. This study uses bibliometric analysis to explore the intellectual structure and thematic evolution of HWT research, and it analyzes 315 peer-reviewed articles from Scopus in the fields of business, social sciences, and medicine. The results show that there are two distinct growth phases: slow growth at the end of the twentieth century and fast growth after 2000 due to the development of human-computer interaction. HWT research is inherently multidisciplinary, with 55.36% of publications coming from social sciences, business, and medical disciplines. The United States leads the world in scholarly output, with 35.87% of documents, while developing regions are underrepresented. Science mapping via VOSviewer reveals two thematic clusters: (1) clinical and ethical dynamics (e.g., physician-patient relationships, data validity), and (2) consumer-market interactions (e.g., usability, direct-to-consumer models). These clusters capture the struggles between medical authority and patient autonomy as well as the increasing impact of user experience (UX) in non-clinical contexts. The study emphasizes the need for multidisciplinary collaboration to address HWT’s complexity and highlights the need for more research in developing economies to ensure global applicability. Two actionable recommendations are proposed: (1) combining clinical utility with commercial viability through UX-driven design, and (2) addressing ethical biases in doctor-patient interactions when HWT interacts. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Impact of Interactive Digital Environments: Literacy Development in Middle School(Springer Nature Switzerland, 2026); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Educational Chatbot for Basic Algebra: An Interactive System to Reinforce Mathematical Competencies in High School Students(Springer Nature Switzerland, 2026) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Designing the UI/UX of a Gamified Platform to Raise Awareness About Water Conservation Using the User-Centered Design Method(Springer Nature Switzerland, 2026); ; ; - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Brightman: A Digital Platform for Enhancing Creative and Logical Skills(Springer Nature Switzerland, 2026) - Some of the metrics are blocked by yourconsent settings
Item type:Publication, IoT Architecture Prototype for Real-Time Monitoring and Control in a Simulated Automation Environment(Springer Nature Switzerland, 2026); Pilatásig, MarcoThe Internet of Things (IoT) has become a fundamental element for digital transformation in industry, boosting efficiency, security, and innovation. This paper presents an IoT architecture designed for real-time monitoring and control of a virtual level station, addressing critical challenges in industrial automation. The level process is simulated using Factory IO and regulated by a control algorithm developed in TIA Portal V16, executed via PLC Sim Advanced. Data is acquired by Node-RED from the PLC and transmitted to an MQTT broker, while a dashboard hosted on Ubidots enables remote access. Historical data of key parameters is recorded to facilitate detailed analysis of process behavior. Its flexible design allows the simulated process to be easily replaced or expanded with additional sensors and parallel processes, providing significant scalability for future applications. Results show a 55ms response time, data transmission with less than 100ms latency (PLC to cloud), and system integrity during network failures. Based on the Industrial Internet Reference Architecture (IIRA), this system provides a replicable framework for Industry 4.0 implementations, particularly in: Digital twin development, safe operator training, and cost-effective modernization of existing systems. © 2026, Springer Science and Business Media Deutschland GmbH. All rights reserved.