Nowadays, universities are investing resources in optimizing e-services to enhance delivery of services to their employees. Most of them provide their services electronically to improve the performance of their organizations. These services are categorized into two classes: academic and nonacademic. This paper focuses on nonacademic class, which is important to measure what factors influence on the e-services. This manuscript aims to develop an acceptance technology model to figure out what the factors motivate nonacademic staff at the universities continuously use the e-services. The proposed model is based on technology acceptance model (TAM) and its extension. It consists of multiple constructs that reflect the opinions of nonacademic staff in e-services. The model was implemented by using questionnaire, 308 employ-ees responded from Prince Sattam Bin Abdalaziz University to this questionnaire by giving their opinions. The feedback was analyzed deeply. The results indicate that technology fit was positively related to user’s perceived satisfaction by using E-Services when the level of signifi-cant was one percent. Also, performance expectancy was positively related to user’s perceived satisfaction. The research finding could be used by university ICT departments to enhance the quality of e-services.

Increasingly, e-skills are required to enable effective use of digital technologies. The present paper examines the influence of e-skills on use of e-services in the hospitality industry. We employ a conditional mixed-process approach and the results of a residential survey in Kosovo to investigate whether e-skills boost e-services in hospitality. Our findings suggest that e-skills are important to explain different behaviors related to use of e-services. The facilitating conditions, expected performance, social influences and perceived value of the services have a positive impact while perceived risks to privacy have a negative impact on behavioral intention. We also find that gender and income have a positive effect on both behavioral use and behavioral intention while age has no effect on either dimension.

The aim of this research is to identify the main determinants of Kosovo outbound tourists influencing the use of e-services in the hospitality industry. To test hypotheses, we used Partial Least Squares Path Modeling (PLS-PM). Findings suggest that the intention of Kosovo outbound tourists to use e-services in the hospitality industry is influenced positively by performance expectancy, facilitating conditions, perceived value, and satisfaction with information quality. We found that expected effort and social influence have no impact on the intention to use e-services. The relationship between users’ behavioral intentions and satisfaction with the information provided and real use behavior is confirmed. The perceived value depends on cost-savings, enjoyment and convenience from the use of e-services in hospitality.