Current Issue : January-March Volume : 2026 Issue Number : 1 Articles : 5 Articles
Purpose This research assesses the inclination of Egyptian citizens toward embracing Voice Assistant Technology (VAT) to deliver public services based on the functioning of perceived usefulness, ease of use, trust, and perceived risk. This also examines the possibility of using machine learning (ML) models to forecast adoption behavior. Design/methodology/approach A mixed-method design was applied, supplementing survey data from 398 participants with qualitative analyses of expert interviews. An extended Technology Acceptance Model (TAM) incorporating trustworthiness and perceived risk was employed. Additionally, ten (ML) algorithms were applied to predict acceptance by citizens. Findings Helpful conclusions were reached, the most helpful being that usefulness, ease of use, and trust highly and positively affect (VAT) acceptance while perceived risk highly and negatively affects VAT acceptance. (ML) analysis validated these findings with Stochastic Gradient Descent (71.9% accuracy) and Ridge Regression (70.9%) as the best predictors, yet Decision Tree was poor (49.3%). These conclusions indicate that risk perceptions need to be addressed and trust enhanced to facilitate VAT adoption in developing-country contexts. Originality/value This paper contributes to the field by extending TAM with trust and risk factors and adding ML predictive modeling to public administration studies. The results provide policy practitioners and technologists with actionable advice on how to incentivize AI-enabled public service delivery via citizen-focused, trust-building approaches....
Prompt engineering is becoming a key skill in hotel management, as it enables the formulation of clear, contextual instructions for artificial intelligence, thereby enhancing the speed, personalisation, and efficiency of hotel services. Managers are no longer just users of technology; they actively shape how AI is applied through five phases: contextualisation, goal definition, refinement, evaluation, and integration. This leads to measurable improvements in operations and guest satisfaction, although challenges remain in the areas of human contact, data privacy, and employee adaptation. Prompt engineering is therefore a strategic and communicative competency, essential for future leadership and the sustainable development of the hospitality industry....
In this article, we establish a constructive nonparametric scheme for monitoring the quality of services provided by a transportation company. The proposed methodology aims at achieving the diligent tracking of the underlying process and the swift detection of any potential malfunctions. The implementation of the new framework requires the construction of appropriate schemes, which follow the set-up of a Shewhart chart and are connected to ranks and multiple run decision criteria. The dispersion and the mean value of the run length distribution for the suggested distribution-free scheme are investigated for the special case k = 2. For illustration purposes, a real-data logistics environment is discussed, whereas the proposed approach is applied for improving the quality of the provided services....
This study examines how psycholinguistic features of online reviews relate to guest satisfaction in Bali’s spa hotel market. Using LIWC-22 category rates from Google Maps reviews, a corpus of 15,560 quality-filtered reviews from ten leading spa hotels was analyzed. Exploratory factor analysis yielded four interpretable dimensions—Social, Health and Wellness, Emotional Tone, and Lifestyle. In regressions predicting review star ratings (satisfaction), Social (β = 0.028) and Health and Wellness (β = 0.023) showed small but statistically detectable positive associations, whereas Emotional Tone (β = 0.006, t = 0.727) and Lifestyle (β = 0.004, t = 0.476) were not significant. The model’s explained variance is negligible (R2 = 0.001; F = 5.283, p < 0.05), reflecting the many influences on ratings beyond review language; findings are interpreted as directional associations rather than predictive effects. Practically, the results point to prioritizing interpersonal service cues and wellness/treatment assurances, with tone monitoring being used for service-recovery signals. The design favors interpretability (validated, word-based categories; full-history snapshot) over black-box complexity, and transferability is Bali-specific and conditional on comparable market features. Future work should add contextual covariates (e.g., price and location), apply explicit temporal segmentation, extend to multilingual corpora, and triangulate text analytics with brief questionnaires and qualitative inquiry to strengthen validity and explanatory power....
University graduates are valuable talent resources and strategic resources of the Party and the Country. Their employment status is related to education both inside and outside, affecting thousands of families. Building a high-quality employment service system for university graduates is an important way to promote the virtuous cycle of education, science and technology, and talent. As the main responsible body and primary position for talent training, the secondary departments of colleges and universities are responsible for building a high-quality employment service system. This is not only a responsibility but also an important standard to measure their education and teaching quality and social service ability. By using methods such as literature research, comprehensive analysis, and case study, this paper makes an in-depth study on how to build a high-quality employment service system in secondary colleges and departments of colleges and universities, and explores and proposes the implementation of the four major projects: “party building guidance”, “strengthening the foundation”, “employment education”, and “excellent navigation assistance”. These are the key paths for secondary colleges and departments of colleges and universities to accelerate the construction of a high-quality employment service system and have far-reaching theoretical significance and great practical value....
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