Vol. 10 No. 11 (2025): publishing

Open Access

Research Articles

ESP-4190

Factors influencing job burnout and its impact on work performance among undergraduate university teachers in Yunnan: The moderating effect of organizational identification Factors Influencing Job Burnout, Work Performance, Moderating Effect of Organizational Identification

by Haibiao Liu, Panjanat Vorawattanachai

2025,10(11); 0 Views

doi: https://doi.org/10.59429/esp.v10i11.4190

Abstract The purposes of this study were 1) to identify the factors of job burnout, work performance, organizational identification among undergraduate university teachers in Yunnan. 2) To analyze the influencing factors of job burnout affecting the work performance among undergraduate university teachers in Yunnan. 3) To examine the organizational identification as the moderating variable affect the job burnout and work performance among undergraduate university teachers in Yunnan. The sample group consisted of teachers using Yamane’s formula, to be 737 teachers. The research instrument used in this study was a structured questionnaire. Data were analyzed by finding frequency, percentage, mean, standard deviation, Pearson’s product moment correlation coefficient, and path analysis. The research results can be summarized as follows: 1) The factors of job burnout and work performance have a high level (=5.773 S= 0. 929 and =3.467 S=1.420), except organizational identification is moderate level (=3.371 S=1.164). 2) The path coefficients of the structural equation model, there is significant correlation between emotional exhaustion and work performance (standardized path coefficient = -0.302, p < 0.001), depersonalization and work performance (standardized path coefficient = -0.325, p < 0.001), reduced personal accomplishment and work performance (standardized path coefficient = -0.288, p < 0.001). 3) The organizational identification as the moderating variable affects the job burnout and work performance are significant (t = -6.259, p = 0.000 < 0.05, t= -6.737 p=0.000<0.05, t= -6.230, p=0.000<0.05).

Open Access

Research Articles

Abstract

ESP-4229

Digital leadership and behavioral adaptation in higher education: Examining teachers’ digital competency and teaching performance

by Yuexin Xin, Aida Hanim A. Hamid, Azlin Norhaini Mansor

2025,10(11); 0 Views

doi: https://doi.org/10.59429/esp.v10i11.4229

Abstract Universities are confronted with significant potential and problems as a result of the rapid digital change brought about by the arrival of the Industry 4.0 era. In this regard, university administrators' and educators' roles and competences are changing to become more innovative and prepared for the digital age. This study looks at how administrators' digital leadership affects teachers' performance in the classroom and how teachers' digital competency functions as a mediator in Inner Mongolian Chinese colleges. Through the improvement of teachers' digital competency, administrators' digital leadership significantly improves teachers' teaching performance, both directly and indirectly, according to data gathered from 386 university instructors and analysed using Structural Equation Modelling (SEM) with AMOS. The results highlight how enhancing teachers' digital competency through focused and ongoing professional development can boost the benefits of digital leadership and raise the calibre of instruction. The theoretical knowledge of digital leadership mechanisms in higher education is enhanced by this study, which also offers useful suggestions for developing instructors who are proficient in digital technology and innovative educational university administrators. By contextualising these findings within Inner Mongolia while connecting them to global trends in digital education, the study also extends the international relevance of digital leadership research.

Open Access

Research Articles

Abstract

ESP-4143

Translation and validation of the MUSE questionnaire in Chinese for elderly hypertensive patients: A study in the context of community pharmacist-led multidimensional educational interventions

by Yandi Zhang, Boon Seng Tan, Huichao Liu, Nahlah Elkudssiah Ismail

2025,10(11); 0 Views

doi: https://doi.org/10.59429/esp.v10i11.4143

Abstract Objective : To translate, culturally adapt, and validate the Medication Understanding and Use Self-Efficacy (MUSE) Scale for Chinese elderly hypertensive patients (MUSE-CH), providing a psychometrically sound instrument to assess medication self-efficacy in the context of community pharmacist-led interventions. Methods: A two-phase mixed-methods approach was employed. Phase A involved establishing MUSE-CH through standardized forward-backward translation procedures. Five experts conducted content validity assessment, while reliability and construct validity were examined using Cronbach's α coefficients and Rasch modeling. Results: MUSE-CH demonstrated robust psychometric properties with S-CVI/Ave of 0.975 and total scale Cronbach's α of 0.847. Medication adherence behavior and medication learning dimensions showed α coefficients of 0.825 and 0.798, respectively. Conclusions: The MUSE-CH scale exhibits satisfactory reliability and validity for assessing medication self-efficacy in Chinese elderly hypertensive populations.

Open Access

Research Articles

Abstract

ESP-4236

Estimating perceived street safety via pairwise comparisons and semantic segmentation with a social-psychological lens

by Haoyuan Xiao, Yoshinori NATSUME

2025,10(11); 0 Views

doi: https://doi.org/10.59429/esp.v10i11.4236

Abstract We integrate pairwise image comparisons with Semantic Segmentation to assess perceived street safety through a social-psychological lens. Drawing on classic findings about natural surveillance, signs of disorder, and risk appraisal, we pre‑specified simple directional expectations: brighter and cleaner scenes and those affording visibility should feel safer; visible rubbish and graffiti should depress safety appraisals; moderate human presence should increase perceived safety by signaling guardianship. Using 20 photos from the Shinsakae district (Nagoya, Japan), 69 participants completed 13,110 pairwise choices (all 190 combinations). A Mask2Former model, pretrained on ADE20K and fine-tuned on 263 locally annotated photos, improved mIoU from 34.15% to 66.10% and yielded area ratios for CPTED-relevant elements (lighting, greenery, people, cars, bicycles, rubbish, graffiti). We then estimated a weighted scoring function mapping these visual features to perceived-safety scores. The AI scores broadly tracked human rankings and reproduced expected social-psychological regularities: lighting/cleanliness associated positively with perceived safety, while rubbish/graffiti associated negatively; daylight and a sense of openness mattered across groups; gender, age, and nationality revealed interpretable differences in emphasis (e.g., women prioritized lighting; older adults weighted illumination more strongly; Japanese participants were more sensitive to cleanliness). We discuss how environmental cues shape quick, intuitive judgments of safety and how AI-assisted diagnostics can operationalize CPTED-informed improvements.

Environment and Social Psychology

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