Electronic Tourism Quality For Enhancing Tourist Relationship

The objectives of this paper are to identify the components of the E-tourism quality and to determine E-tourism quality factors that have impact on enhancing tourist relationship. Data was collected from Thai and foreign tourists. Exploratory factor analysis was conducted to determine the components for E-tourism quality. The results show that the two major components of E-tourism quality are E-service quality and E-marketing management quality. E-tourism service quality consists of four dimensions which are 1) website design quality, 2) E-service design quality, 3) technology quality and 4) customer service quality. E-marketing management, E-service design, technology quality and customer service quality have impact on tourist relationship. E-marketing management quality has the highest influence on enhancing tourist relationship whereas website design quality has no impact

E-Tourism Service Quality Factors: A Comparative Study Of Thai And International Tourists

This study focuses on the factors of E-Tourism Service Quality that enhance the Customer relationship between E-tourism service providers and Thai and International tourists. E-Tourism Service Quality relating to the website’s quality / social networks and the service from Thai electronic travel service provider increases of the retention international customer

Factors Impacting Satisfaction and Continuance Intention of Art and Design Students to Study with Online Education in Chengdu, China

Purpose: This research aims to investigate factor impacting satisfaction and continuance intention of undergraduates majoring in art and design on online learning of handicrafts in four public universities in Chengdu, China. The key variables are perceived ease of use, perceived usefulness, system quality, service quality, information quality, satisfaction, and continuance intention. Research design, data, and methodology: Questionnaires were distributed to 500 target population, and 487 is valid after the data screening. The sampling method involves judgmental, quota and convenience sampling. The main statistical analysis tools are confirmatory factor analysis (CFA) and structural equation modeling (SEM). Results: The results support all hypotheses in this study. Perceived ease of use significantly impacts perceived usefulness. System quality, information quality and service quality significantly impact satisfaction. Perceived usefulness has a significant impact on satisfaction and continuance intention. Satisfaction significantly impacts continuance intention. Conclusions: Teaching workers must explore online teaching methods that combine perceived ease of use and perceived usefulness, design systematic theoretical and practical courses according to different disciplinary backgrounds, and enhance the relevance and synergy of relevant knowledge and skills in different courses. The Continuance Intension of online learning can be effectively enhanced by enabling students to master new knowledge and skills in online learning truly

Prediksi Penggunaan Aktual E-Toll Card Dengan Pendekatan Persamaan Model Struktural

. The purpose of this study is to examine the relationships between variables in predicting the actual use of innovation services. The variables in this study include resistance to change, perceived value, attitude towards innovation services, the intention to use the innovation services, and innovative personality. Data collection techniques in this study conducted by questionnaire with non-probability sampling method. The number of respondents was 212 respondents. Data was then analyzed by Structural Equation Modeling (SEM). Results showed that three out of five hypotheses are supported. Those hypotheses include the intention of a significant predictor of the use of innovation services. Intention itself is also influenced by the attitude towards innovation services. The perceived value is a significant predictor of the attitude towards innovation services. However, the results showed that the resistance to change and innovative personality is not a significant predictor of the intention to use the innovation services. This study also provides research limitations and suggestions for further research

Behavioral Intention and Use Behavior of University Students in Chengdu in Using Virtual Reality Technology for Learning

The purpose of this study is to investigate the factors that influence the usage of virtual reality (VR) technology in learning among university students in Chengdu, China. Scholars created a virtual reality teaching game based on Unreal Engine 4 software that was utilized to instruct a videography course at the Design College of Sichuan University of Media and Communications in Chengdu, China, with 1160 university students participating in a two-year pedagogical reform project. The researchers employed a quantitative research approach with a sample size of 50 participants, as well as a face-to-face questionnaire survey of the target respondents. The data was gathered via stratified random sampling. The Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM) were applied to analyze the data (SEM). The findings indicate that all factors have a substantial influence on students' utilization of virtual reality (VR) technology in learning, with behavioral intention having the biggest impact on actual usage, and that satisfaction has a considerable impact on actual usage. As a result, academic institutions that promote virtual reality (VR) technology as a teaching tool may be able to examine the factors that influence students' usage of VR technology in their learning, thereby boosting students' enthusiasm for learning and performance

The Chain-Link Fence Model: A Framework for Creating Security Procedures

A long standing problem in information technology security is how to help reduce the security footprint. Many specific proposals exist to address specific problems in information technology security. Most information technology solutions need to be repeatable throughout the course of an information systems lifecycle. The Chain-Link Fence Model is a new model for creating and implementing information technology procedures. This model was validated by two different methods: the first being interviews with experts in the field of information technology and the second being four distinct case studies demonstrating the creation and implementation of information technology procedures. (169 pages

Mediating effects of perceived usefulness and trust between individual factors and intention to use E-training in Nigerian Technological Universities

Developments in information technology (IT) have offered universities some sophisticated technological tools and innovative training contents that can be used in delivering training to their employees. However, for successful IT integration in training, employees’ positive disposition towards the new system is vital. Although factors, including computer/Internet self-efficacy, interactivity, organisational support, perceived usefulness, perceived ease of use and trust have been used in most studies that investigated technology acceptance, little is known about the effects of interactivity and trust on intention to use e-training. Therefore, this study empirically examines the roles of these factors in determining intention to use e-training within the context of Nigerian technological universities using the technology acceptance model (TAM). Data were collected from 301 employees of five technological universities in Nigeria and partial least squares - structural equation modeling (PLS-SEM) was used in the analysis. Findings of the study reveal that interactivity and trust constructs have positively and significantly influenced employees’ intention to use e-training systems. Additionally, perceived usefulness and trust are found to have mediated the relationship between individual factors and intention to use e-training. The Importance-Performance Map Analysis (IPMA) result shows that to predict intention to use e-training in Nigerian technological universities, priorities should be accorded to trust and organisational support. Theoretically, the study has contributed to the understanding of factors affecting intention to use e-training demonstrating the applicability as well as effectiveness of interactivity and trust in predicting intention to use e-training. Methodologically, the study has established the relevance of conducting Importance-Performance Map Analysis (IPMA) in examining intention to use e-training. Practically, the study provides new inputs for successful implementation of e-training systems in universities. It is recommended that future studies investigate the influence of other factors such as subjective norm, enjoyment, and appeal on the intention to use e-training