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    <title>DSpace Collection:</title>
    <link>https://repositorio.cetys.mx/handle/60000/47</link>
    <description />
    <pubDate>Wed, 18 Feb 2026 22:50:03 GMT</pubDate>
    <dc:date>2026-02-18T22:50:03Z</dc:date>
    <item>
      <title>Design and validation of an instrument for evaluating workplace happiness</title>
      <link>https://repositorio.cetys.mx/handle/60000/2003</link>
      <description>Title: Design and validation of an instrument for evaluating workplace happiness
Authors: Salazar-Altamirano, Mario Alberto; Galván Vela, Esthela; Ravina-Ripoll, Rafael; Martínez Arvizu, Orlando Josue
Abstract: Workplace happiness has emerged as a strategic and ethical priority due to its impact on employee&#xD;
well-being, engagement, and sustainable performance. However, the construct remains conceptually fragmented, with existing measures often limited to affect or job satisfaction. This study addresses these&#xD;
limitations by proposing and preliminarily validating a multidimensional instrument that integrates hedonic and eudaimonic dimensions of workplace happiness: emotional well-being and purpose, work–life&#xD;
balance, and work relationships and support. Using a multi-phase research design, including expert&#xD;
content validation, a pilot study (n = 100), and large-scale psychometric testing (n = 354), the study&#xD;
applies exploratory and confirmatory factor analyses. Results provide initial evidence of strong structural validity, internal consistency, and convergent and discriminant validity (CFI = 0.971; TLI = 0.959;&#xD;
RMSEA = 0.078). Workplace happiness is conceptualised as a synergy of affective fulfilment, meaningful&#xD;
contribution, and supportive relationships. Despite cross-sectional and non-probabilistic limitations, the&#xD;
instrument offers a robust foundation for future validation and human-centred organisational research</description>
      <pubDate>Mon, 01 Dec 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repositorio.cetys.mx/handle/60000/2003</guid>
      <dc:date>2025-12-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Effects of happiness management and organisational justice on organisational commitment</title>
      <link>https://repositorio.cetys.mx/handle/60000/2000</link>
      <description>Title: Effects of happiness management and organisational justice on organisational commitment
Authors: Galván Vela, Esthela; Martínez Arvizu, Orlando Josúe; Salazar-Altamirano, Mario Alberto; Ravina-Ripoll, Rafael
Abstract: Purpose – The results confirm that Human Resource Practices (HRPs) positively influence both happiness&#xD;
management and brand pride, but not performance directly. In contrast, both happiness management and brand&#xD;
pride significantly affect job performance. Furthermore, a marginal mediation of happiness management is also&#xD;
observed in the relationship between HRPs and performance (p 5 0.051), which suggests a near-significant&#xD;
emotional mechanism. Significant mediations of brand pride and happiness management are also found between&#xD;
pride and performance.&#xD;
Design/methodology/approach – A quantitative cross-sectional design was employed with 408 participants.&#xD;
Data were analysed using covariance-based structural equation modelling (CB-SEM) to assess the direct and&#xD;
indirect relationships proposed in the theoretical model.&#xD;
Findings – The results reveal that happiness management is positively associated with both organisational&#xD;
justice and commitment, with justice partially mediating this relationship.&#xD;
Research limitations/implications – The cross-sectional design and non-probabilistic sampling restrict causal&#xD;
inference and generalisability. Future studies should employ longitudinal approaches and test moderators such&#xD;
as leadership style or perceived organisational support.&#xD;
Practical implications – The findings guide higher education leaders to implement emotional and&#xD;
psychological training programmes that foster happiness, fairness and commitment through transparent&#xD;
workload allocation, fair promotion systems and participatory decision-making.&#xD;
Social implications – Promoting organisational cultures grounded in happiness and justice strengthens equity,&#xD;
well-being and institutional resilience, contributing to the Sustainable Development Goals SDG 4 (Quality&#xD;
Education) and SDG 8 (Decent Work and Economic Growth).&#xD;
Originality/value – The study provides novel evidence in the Ibero-American context by integrating four&#xD;
constructs into a single explanatory model, extending social exchange theory from an emotional perspective. It&#xD;
highlights that happiness management constitutes a management strategy and an ethical and cultural&#xD;
responsibility for building more human and sustainable organisations. Practical implications include promoting&#xD;
emotionally intelligent communication,symbolic recognition practices and a culture thatfosters employee pride&#xD;
and well-being.</description>
      <pubDate>Sat, 01 Nov 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repositorio.cetys.mx/handle/60000/2000</guid>
      <dc:date>2025-11-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Traffic Sign Classification Using Real-Time GPU-Embedded Systems</title>
      <link>https://repositorio.cetys.mx/handle/60000/1999</link>
      <description>Title: Traffic Sign Classification Using Real-Time GPU-Embedded Systems
Authors: Lopez-Montiel, Miguel; Orozco Rosas, Ulises; Sánchez-Adame, Moisés; Montiel, Oscar; Picos, Kenia; Tapia, Juan Jose
Abstract: Traffic Sign Classification (TSC) is crucial for autonomous driving and intelligent transportation systems. Desktop implementations of deep learning achieved state-of-the-art performance on TSC benchmarks; however, they are unsuitable for&#xD;
real-time embedded systems due to resource limitations. We propose an Efficient GPU-Embedded Network (EGENet) for&#xD;
embedded platforms, such as NVIDIA’s Jetson, to overcome these drawbacks. When implemented on a desktop system&#xD;
with NVIDIA GeForce RTX 2080, EGENet can reduce the number of parameters by 24 million while speeding up by&#xD;
2.59×. EGENet introduces a new concept called Asymmetric Depth Dilated Separable Convolution (ADDSC), which&#xD;
enables a reduction in parameters and inference time while maintaining the receptive window size. A novel evaluation&#xD;
metric is proposed, considering frames per second (FPS), accuracy, and deployment on embedded GPU devices with&#xD;
constrained resources, targeting at least 98.85% accuracy and a frame rate of more than 30 FPS. Thorough evaluations&#xD;
were performed on the NVIDIA Jetson Xavier AGX and Jetson Nano, utilizing limited resources, to validate EGENet’s&#xD;
real-time performance. Evaluation of GTSRB and LISAC datasets demonstrates outperforming results, with an accuracy&#xD;
of 99.58% and 98.18% and a response time of 253 FPS and 90 FPS on Jetson Xavier AGX and Jetson Nano devices,&#xD;
respectively. Our work contributes to efficient TSC systems based on embedded GPUs and offers a comprehensive performance evaluation methodology for autonomous driving. We present exhaustive statistical comparative tests against&#xD;
state-of-the-art systems.</description>
      <pubDate>Mon, 01 Dec 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repositorio.cetys.mx/handle/60000/1999</guid>
      <dc:date>2025-12-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Redefining entrepreneurial happiness based on personality traits: the role of the Big Five</title>
      <link>https://repositorio.cetys.mx/handle/60000/1998</link>
      <description>Title: Redefining entrepreneurial happiness based on personality traits: the role of the Big Five
Authors: Gonzalez‑Peña, Anais Estefania; Sánchez Tova, Yesenia; Galván Vela, Esthela; Ravina‑Ripoll, Rafael
Abstract: This study investigates how the Big Five personality traits shape the perception&#xD;
of happiness among Mexican entrepreneurs, addressing a gap in research&#xD;
on the psychological determinants of entrepreneurial well-being. A quantitative,&#xD;
cross-sectional survey was conducted with 319 entrepreneurs, and the data were&#xD;
analyzed using structural equation modeling. The results show that openness&#xD;
to experience, conscientiousness, and low neuroticism significantly increase perceived&#xD;
happiness, while agreeableness has no effect, challenging prior assumptions. These&#xD;
findings contribute to the literature by identifying personality-based predictors&#xD;
of entrepreneurial happiness and highlight the importance of psychological resources&#xD;
in entrepreneurship. In practice, the study offers insights for designing support&#xD;
programs and public policies that foster emotionally sustainable entrepreneurial&#xD;
ecosystems.</description>
      <pubDate>Mon, 01 Dec 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repositorio.cetys.mx/handle/60000/1998</guid>
      <dc:date>2025-12-01T00:00:00Z</dc:date>
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