The integration of new technologies and digitalisation causing significant changes in the skills demanded, leading to skills shortages and skills gaps in digital context. Undoubtedly, the employees’ digital skills and knowledge need to be aligned with the ongoing technological changes. This study obtains inputs from the employers from professional services sector regarding the demand for digital skills and the existence of gaps in digital skill among the employees. The impact of digital skills and willingness to pay for the micro-credential on the employability was investigate. 308 responses from the employers reside in Klang Valley, Johor and Penang collected via online survey. The five areas of digital skills adopted from Digital Competence 2.0, and the pair-sample t-test in SPSS was used to identify the present of skill gaps. Besides, PLS-SEM was used to test the hypotheses with regard to impacts of digital skills and micro credential on employability. The findings indicate that problem-solving and safety skills were ranked as highly demanded digital skills in the future. The skill gaps were found in all areas of digital skills except information and data literacy. The employers agreed that digital skills did affect their decision in hiring the graduate employees and they are willing to pay for micro-credentials to address the skills gaps. Yet, willingness to pay for micro-credentials did not affect the employability directly and indirectly. This study provides insights into the demand of digital skills and the digital skills gaps. Implications of the study from theoretical and practical perspectives are discussed.

Objective: This study aimed to examine the psychometric properties of the 21-item Depression, Anxiety, and Stress Scale (DASS-21) in a sample of Moroccan students. Method: A total of 208 Moroccan students participated in this study. The dimensionality of the DASS-21 scale was assessed using exploratory factor analysis. Construct validity was assessed using the Stress Perception (PSS-10), State Anxiety (SAI), and Depression (CESD-10) scales. Results: Correlation analyses between Depression, Anxiety, and Stress subscales showed significant results. The exploratory factor analysis results confirmed the DASS’s three-dimensional structure. Furthermore, correlation analyses revealed positive correlations between the DASS-18 sub-dimensions and the three scales for Stress (PSS-10), Anxiety (SAI), and Depression (CESD-10). Conclusion: In line with previous work, the results of this study suggest that the DASS-18 reflect adequate psychometric properties, making it an appropriate tool for use in the university context.

This paper conducts a bibliometric visual analysis of the application of the Unified Theory of Acceptance and Use of Technology (UTAUT) in education, using CiteSpace software. Drawing on data from the Web of Science, the study explores research trends and influential works related to UTAUT from 2008 to 2023. It highlights the growing use of educational technologies such as mobile learning and virtual reality tools. The analysis reveals the most cited articles, journals, and key institutions involved in UTAUT research. Furthermore, keyword analysis identifies research hot spots, such as artificial intelligence and behavioral intentions. This study contributes to the understanding of how UTAUT has been used to predict technology adoption in education and provides recommendations for future research directions based on emerging trends in the digital learning environment.

There are several factors that generate postharvest losses of Citrus sinensis, but none have been focused on the central jungle of the Junín region of Peru. The objective of this research was to evaluate postharvest losses of Citrus sinensis in the province of Satipo, Junín region of Peru, considering the stages of the production chain. The methodology was applied to descriptive and cross-sectional design. A sample of 10 orange trees, 3 transport intermediaries and 5 traders selected for compliance with minimum volume and quality requirements were used. The °Brix, pH and acidity characteristics of the fruit were determined. Subsequently, absolute and percentage losses were quantified through direct observation, surveys and interviews. The main postharvest losses of Citrus sinensis were 1.50% in harvesting and detaching, 1.75% in transport to the collection center, 2.23% in storage and transport by intermediaries, and 2.90% in storage and sale by retailers. The overall loss was 8.12% throughout the production chain and US$5.75 per MT of C. sinensis harvested. The main damages found were mechanical and biological, caused by poor harvesting and packaging techniques, precarious storage and careless transport of the merchandise.