This research aimed at identifying the impact of (Perceived ease of use, Perceived usefulness, Perceived enjoyment and perceived trust), and examine the moderating role of subjective norms, on healthcare providers acceptance for digital marketing provided by the medical field companies. To achieve the goals of this research, the researcher relied on a descriptive and analytical approach. The research dealt with 400 healthcare providers, where the population consisted of all healthcare providers working in Amman, a convenience sample was chosen from the healthcare providers. Moreover, the questionnaire was the main tool for collecting data. Analyzing data was conducted using a set of statistical methods including exploratory factor analysis EFA, confirmatory factor analysis CFA, multiple regression, interactive hierarchical regression and process procedures method using (SPSS-V20) and (AMOS-V23). The key finding was there an impact of Perceived ease of use, Perceived usefulness, Perceived enjoyment and perceived trust on healthcare providers acceptance for digital marketing provided by the medical field companies. Recommendations and future research also were discussed.

Transforming from digitalization to digitization brings many new technologies to restructure our life and life routines. In today’s competitive world, internet infrastructures and banking industries are counted as integral components for online shopping and commercial transactions. As because, disclosure of online transactions has been allowed through internet media, that would enhance the availability of electronic payment systems. Further, this study aims to explore and investigate the relationship and impact of electronic payment methods on the sales growth with the mediating role of online shopping by targeting UAE banking Industry. This study followed the quantitative approach and a correlational design. The empirical data were collected through a survey designed on a 5-point Likert scale, 217 valid questionnaires were sent to all participants (i.e., top managers, middle managers and technicians) via emails. Different statistical analyses were performed in this study. The results of the study showed high internal consistency among the study variables as Cronbach’s Alpha values ranged from .873 to .855. Further, this study highlighted the significant relationship and direct impact between online shopping and sales growth. Meanwhile, indirect impact was confirmed by the results between online shopping and sales growth through e-payment. In this regard, results can help to identify the impact of e-payment on sales growth through online shopping and also provide advantage for this and many other similar organizational studies.

This study aims to investigate the effect of digital marketing, social media marketing and electronic word-of-mouth EWOM, on the purchase intention with moderating effect of brand equity. A quantitative research approach was used to achieve the research objectives. The data was collected from a sample consisting of 254 online shoppers of IKEA Jordan. By using a random sampling technique, the data was collected through an electronic questionnaire. Statistical analyses were conducted such as data normality and scale reliability by using IBM SPSS 21 software, followed by measurement model and hypothesis testing by using Smart PLS3 software. The results assessed the validity of the measurement model, structural model as well moderation analysis that was conducted based on the study objectives. The findings confirmed the assumptions which stated the digital marketing had a positive significant effect on purchase intention, and the moderating effect of brand equity revealed a significant effect. The study has contributed to the existing literature by providing future research suggestions and directions linked to this topic in the context of Jordan social media marketing and shopping.

This research examines the links between customer perceived expectations, customer perceived experience, and customer satisfaction in the United Arab Emirates' digital solution in the telecommunications industry. The research takes a positivist philosophical perspective and uses a quantitative data analysis strategy to sample 130 clients who utilize the digital solution of the telecommunications sector in the United Arab Emirates. Exploratory component analysis and multiple regression analysis were used to evaluate and validate the validity of the suggested scales and the research model's linkages. The research discovered a strong correlation between customer expectation and customer experience and the degree of satisfaction of individuals in the United Arab Emirates due to their use of or engagement with digital solutions of the telecommunications sector, independent of generational differences. The study's findings are entirely consistent with the Expectancy-Disconfirmation and Evaluation Congruity Theories.

The study explores the impacts of fear emotions on technology adoption by teachers and students during the COVID-19 pandemic. Mobile learning (ML) has been considered an educational, social platform in private and public higher education institutes. Since several fears are connected with COVID-19, this study's key hypotheses are related to how COVID-19 influences Mobile Learning (ML) adoption. Educators, teachers, and students may face some common types of fear in the course of the coronavirus pandemic, such as fear of losing social relationships, fear of educational loss and failure, and fear because of the lockdown of the family in the prevailing circumstances. Different theoretical models, named Expectation-Confirmation Model (ECM) and Technology Acceptance Model (TAM), are combined to develop an integrated model for this study. The proposed model was analyzed with the development of a questionnaire survey. The survey served as a data collection instrument to collect data from students of the University of Sharjah in Sharjah city in the United Arab Emirates (UAE). Three hundred twenty undergraduate students participated in the study. The collected data was evaluated using the partial least squares-structural equation modeling (PLS-SEM). The significant predictors revealed by experimental results included perceived fear, perceived ease of use, expectation confirmation, satisfaction, and perceived usefulness, explaining the intention to use the mobile learning platform. According to our study, teaching and learning can be benefitted to a great extent by the adoption of mobile learning (ML) during this pandemic for educational purposes; however, this process may be negatively affected by the fear of future educational results, fear of losing social relations and fear of stressful family situations. Therefore, appropriate student evaluation may be conducted to overcome the emotional distress caused by the pandemic effectively.