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.

The aim of the study is to examine the impact of online consumer reviews on purchasing intention through product mental image. The primary sources represented by the instrument were distributed to the study population consisting of consumers of cosmetics in Jordan. Recently, the phenomenon of selling cosmetics through Internet websites and social media platforms has spread widely in Jordan. Therefore, Google Forms was used to design the research instrument and ask consumers of these products to respond to it by publishing it on the official websites of the sellers and with their approval. Structural equation modeling (CB-SEM) technique using the AMOS software was used to test the study hypotheses. The study results show that product mental image mediates the relationship between online consumer review and purchasing intention. Based on the results of the study, the researchers provided recommendations.

Digital divide, trust towards e-commerce system, and facilitating conditions as the factors impacting the use intention of the international trade center were examined in this study, through a survey carried out on 500 Jordanian students. The proposed conceptual model was empirically tested, and significant impact of trust and facilitating conditions on intention to use the international trade center was affirmed. Meanwhile, the digital divide did not impact the intention to use the international trade center. Being limited to the Jordanian context, the study findings may not be generalizable to other countries.

Social media influencers have proved to be a major influence on customers’ purchasing decisions, especially with the increased usage of social media platforms. Social media influencers provide many opportunities for companies to increase their customer base and sales, and to enhance the attitude towards a brand. Despite the advantages of utilizing social media influencers, there are factors that social influencers need to take into consideration in order to engage customers and influence their decisions to purchase. The purpose of this study is to examine the factors that influence customers’ intention to purchase based on social media influencers. An online questionnaire was used to collect data from 439 Instagram platform users. A partial least square-SEM (PLS-SEM) approach was used to analyze and examine the proposed model. The results indicate that all constructs, namely Information Quality (IQ), Trustworthiness (TRU), Attractiveness (ATT), Meaning Transfer (TRA) and Expertise (EXP) significantly influence customers’ purchase intentions. This finding could provide insights for companies’ decision-makers when it comes to promoting their brands and increasing their sales. In addition, it could provide insights for social media influencers in terms of recognizing the important factors that encourage customers to engage and purchase.

The current research main purpose is to examine the effect of digital marketing on both value creation and customer satisfaction. The literature was reviewed for the relevant existing studies to address the knowledge gap that has not been fulfilled before by a proposed integrative model. A quantitative research approach was used in this study to investigate the hypothesized proposed model with a survey questionnaire to collect data from the sample of customers of telecommunication firms operating in Jordan. The instrument was developed and customized to achieve the research objectives. With a total of 315 valid and complete returned questionnaires, the research has analyzed the data collected by using the PLS-SEM approach to run the essential analysis procedures and test the hypothesized statements. The results showed a significant and positive effect of digital marketing on both value creation and customer satisfaction. The research would contribute to providing more understanding of the issues related to this topic and filling research gaps and provide some new knowledgeable and theoretical research implications.

Educational activities have changed due to the pandemic and it was necessary to respond by giving continuity to the formative processes with virtual platforms as it happened at the Universidad Nacional del Centro del Perú - School of Social Work. The objective was to know the level of satisfaction of students in the use of the virtual platform chosen, using the Questionnaire for the evaluation of learning environments in distance education (Sp-DELES) of 42 questions with dimensions: teacher support, student interaction and collaboration, personal relevance, real learning, active learning, autonomy and satisfaction. A total of 213 students were consulted, the instrument was distributed digitally and anonymously. For the descriptive analysis, the results were ranked in three response categories: agree, indifferent and disagree; the Autonomy dimension was valued with 69.01% agreement and 9.39% disagreement. The dimension with the lowest appreciation was Satisfaction with 25.35% agreement and 28.64% disagreement. Structural equation modeling was performed with SmartPLS, obtaining that Faculty support (FS) and Active learning (AL) have a direct relationship with Satisfaction (S) in the use of the virtual platform with beta values (β) of 0.279 and 0.872 respectively. Contrarily, Real learning (RL) and Autonomy (A) have an inverse relationship with Satisfaction (S) with beta values (β) of -0.025 and -0.122 respectively. The study reflects that there is no relationship between Interaction and Communication among Students (ICS), Personal Relevance (PR) and Satisfaction (S) as the p-values were greater than 0.05. The value of the coefficient of determination (R2) was 0.778 being the representative model. The study is non-experimental, descriptive, explicative and cross-sectional.