Website is a helpful interactive tool between universities and students. Innovating and improving the website quality creates students’ brand trust and satisfaction with the university. This study demonstrates the relationship between a university’s website quality, brand trust, and student satisfaction. The research data are collected by quota sampling with 402 senior students studying at universities in Vietnam. Using the structural equation modeling (SEM), the research result shows that the university’s website quality positively affects brand trust and student satisfaction. Besides, brand trust positively impacts on student satisfaction with the university.

For the development of technologies and networks that have been evolving and expanding day by day. In this generation, these facilities allow users to interact more efficiently. Safety is therefore very important to consider preserving the network and database and the need to detect a potential attack before an attack occurs. Network security has become the main issue, particularly in the industries, and there are many techniques to be used to protect network systems. One of them is called Honeypot, a software that is used to detect unauthorized misuse of information systems and to evaluate the actions and behavior of the attacker. Honeypot is, in other words, a trap for any attackers to log in to the network. If the behavior of these attackers is detected, the information will be used to improve network security. Using Honeypot does not cause attackers to notice they are being detected. This research is primarily focused on Honeypot, which is a ground-breaking new technology that has the potential to provide security communities with protection and how it is important for its use to enhance the network security framework.

Web based shopping has been the quickest developing channel of looking for over 10 years with deals developing at a yearly pace of 25%. One review connected properties of a site to drive purchasing conduct. Given the quick development of web-based shopping and the qualities of web-based shopping that energizes drive purchasing (for example open every minute of every day), drive purchasing on the web is probably going to be pervasive. Accordingly, this study plans to investigate the effects of site credits and persuasive variables on internet-based motivation purchasing. A self-directed poll was utilized to gather information for this review. The 400 respondents, in line with the required sample size, were people who have online buying experience in Thailand. The data analysis method is Structural Equation Modelling (SEM). The results of the study revealed that influence of web site attributes has a positive relationship with motivation factors. Moreover, motivation factors have a positive relationship with online impulse buying. Additionally, two components of motivation factors which are utilitarian and hedonic motivations, mediate the relationship between web site attributes and online impulse buying.

E-wallet usage in transactions during the Covid-19 pandemic is a cashless movement that supports breaking the chain of transmission of the Covid-19 virus. Intention to use E-wallet during the pandemic is high due to the stay-at-home recommendation that was enforced since the beginning of the breakdown of the first case in Indonesia. Several studies on technology acceptance have been carried out and this study presents a research framework by integrating technology acceptance model (TAM) and theory of planned behavior (TPB) to obtain more comprehensive results to increase technology acceptance intentions by adding virus fear and risk perception to the models that have been tested previously, since the research was conducted when the pandemic is ongoing. The results reveal that perceived usefulness, perceived ease of use, and perceived risk have a direct or indirect effects on attitudes toward using and behavioral intention to use, moderating results of fear of covid-19 on attitudes and intentions as well was found to significantly increase behavioral intention to use E-wallet during the Covid-19 pandemic.

The study aim is to examine the impact of industry 4.0 on sustainability of industrial organizations in Jordan. The population of the study consists of employees at various administrative levels of industrial organizations in Jordan. Due to the large population and the spatial and temporal limitations of the research, it was difficult to collect data using the comprehensive method. Therefore, the random sampling method was applied to collect data from the research population. The structural equation modeling (SEM) technique was used to test the impact of industry 4.0 dimensions on sustainability. The study results confirmed that all dimensions of industry 4.0 had an impact on sustainability. The greatest effect was for cyber-physical systems. Based on this result, researchers recommend the management of industrial organizations to invest in information technology to provide a large variety of data in a very short time and providing appropriate programs for analyzing big data and producing accurate and reliable information that can be used by employees.

Social media is remarkably growing and shaping not only the lives of individuals but also the business domain by creating new paradigms of business. This study examines the interplay among some selected predicting organizational variables and the use of what are called Social Media Business Models (SMBMs). Furthermore, the study investigates the mediating role of e-readiness on the relationships among these organizational factors and the use of SMBMs. The study is a quantitative, descriptive and analytical study. Using a self-administered survey, primary data were collected from 150 employees from the Jordanian SMEs. Smart PLS 3 software was employed to validate the proposed study model using a Structural Equation Modelling (SEM). The findings confirmed that compatibility, innovativeness, cultural and management support, and e-readiness have a statistically significant direct impact on the use of SMBMs. Finally, the study confirms that e-readiness mediates the relationship between compatibility and innovativeness as predicting variables and the use of SMBMs.

The Information and Communications Technologies (ICT) sector provides different connectivity solutions in urban areas. Unfortunately, market players make little effort to ensure connectivity to underserved markets. The analysis of the existing ICT market revealed the possibility of a solution to this problem by utilizing the latest advances in satellite communication. It is recognized that connectivity through satellites is generally not a popular option in the United Arab Emirates (UAE), although there are still some underserved markets in the UAE that require better connectivity solutions. In this study, the Technology Acceptance Model (TAM) has been used to assess users’ acceptance in the UAE market to introduce NGSO satellite broadband connectivity. We consider the main two independent variables of the model: perceived usefulness (PU) and perceived ease of use (PEU). Additional two variables had been proposed which significantly affect UAE consumers’ intention to use satellite broadband which are: innovativeness (INN) and satisfaction with current services (SAT). The study results support that PU, PEU, and INN will positively influence the UAE population’s intention to use the service. The hypothesis that PEU will positively affect PU was also supported. The hypothesis that SAT will negatively influence the UAE population’s intention to the service was not supported. Additionally, the study also shows that UAE consumers’ intention to use satellite broadband is unrelated to gender or age group. A set of recommendations were drawn to support the smooth introduction of NGSO satellite broadband service in the UAE.

The engagement between customers and brands is being transformed by artificial intelligence (AI). However, there has been little study into AI-powered customer experiences; hence, this research aims to examine how the incorporation of AI in purchasing might result in a better AI-powered customer experience. This research will develop a conceptual model based on the service quality model and trust-commitment theory. Further to this, an online questionnaire was distributed to individuals who had utilised an AI-powered service provided by a particular brand, and consequently, a total of 354 responses were analysed using Structural Equation Modelling (SEM). The results that were deduced from the responses demonstrated that relationship commitment has begun to substantially impact AI-powered customer experiences. In addition to this, the results also revealed that perceived sacrifice and trust both play an important role in mediating the impacts of perceived convenience, personalisation, and AI-powered service quality. This finding contributes to the previous literature by highlighting the mediating impacts of perceived sacrifice and trust, as well as the significant influence of relationship commitment on AI-powered customer experience. Furthermore, the research poses significant implications for merchants who use AI in services provided to their customers.

The aim of this research is to study the acceptance of university students to use Microsoft Teams e-Learning system and their intention to use it as a Learning Management System (LMS) for education during the COVID-19 pandemic in Jordan. An ex-tended Technology Acceptance Model (TAM) with a blend of external factors that are used together for the first time was developed and used for the purpose of this study. TAM was used because of its wide use and success during the past few years for evaluating the influence of different factors affecting the acceptance and intention to use e-Learning platforms within educational institutes. However, all the studies were examining the variables and factors affecting the behavioral intention and acceptance to use LMSs when normal and conventional classroom study is available. In this research, seven external variables, in addition to the four TAM variables, were introduced in a model including one external variable, Internet Connectivity (IC), used for the first time in the field of education. A model is constructed by extending TAM with the introduced external variables, hypotheses are constructed and a questionnaire for 396 students at two universities in Jordan is conducted. Reliability, confirmatory factor, model fit, and hypothesized structural model analyses are presented. Results show that all the variables tested affect, either directly or indirectly, the acceptance and intention to use MS Teams during the pandemic. 21 hypotheses were tested between the constructs and found significant except the relations between (Social Norm - Perceived Usefulness) and (Technical Support - Perceived Usefulness).

This study proceeds from a central interest in the importance of assessing the IS-Support provided to key-user groups. This study conceptualized a new multidimensional IS-Support construct with four dimensions: training, documentation, assistance and authorisation, which form the overarching construct – IS-Support. We argue that a holistic measure for assessing IS-Support should consist of dimensions, and measures, that together assess the support provided to IS key-user groups. The proposed IS-Support construct is defined as the support that IS key-user groups receive to increase their capabilities in utilizing information systems within the organization. Using a partial least square structural equation modeling (PLS-SEM) approach on data collected from 221 participants, this study rigorously hypothesized and validated the IS-Support model. Implications for research and practitioners as well as insights for future research is discussed.