Numerous studies have been conducted on individual and organizational adoption of social media, and many of these studies were conducted in advanced economies by focusing on large corporations. This study addresses the gap by examining the use of social media by SMEs in West Africa, notably Nigeria. Using a structured questionnaire, 682 small business owners were questioned regarding their thoughts on social media adoption: cost, privacy, convenience, and quality of service. The PLS-SEM result reveals a structural relationship between social media adoption and SME performance. Due to the substantial change in operations induced by COVID-19, enterprises are increasing their involvement in social media marketing to improve performance, and the competence of social media strengthens the effect on customer satisfaction.

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 purpose of this research is to look into the drivers that influence whether or not users will use e-training. The research identified six elements that influence e-training intention to use: perceived ease of use (PEU), computer and internet self-efficacy (CIS), perceived usefulness (PUS), interaction (INT), technical support (TEC), and management support (MGS). Data were collected using a questionnaire distributed to a sample consisting of employees in private universities to test six hypotheses related to these factors. The results showed that four of these factors, i.e., perceived ease of use (PEU), computer and internet self-efficacy (CIS), perceived usefulness (PUS), and technical support (TEC) are key drivers of e-training intention to use. Results are discussed and conclusion is reported.

The frightening COVID-19 has considerably affected global marketing and the behavior and attitudes of consumers worldwide. Equally, it has changed the lifestyle, and the patterns of purchasing and consumption of consumers in Jordan as evidenced by the reduced popularity of in-store purchases. Quantitative research methods were applied in examining the relationships among the primary variables of the study. Data was obtained from 300 completed questionnaires collected from Facebook users in Jordan. Data was analyzed via AMOS software version 21.0, and hypotheses were examined by applying Structural Equation Modelling. Results revealed that trust issues, perceived ease of use and fear of complexity had a positive effect on online shopping behavior. Also, the study showed that perceived risk negatively affected online shopping behavior. Increased confidence in an online site increases the regularity of online shopping, while decreased perceived risk increases online purchase decisions.

This research paper aims to investigate the effect of Internet of Things (IoT) on Search Engine Optimization (SEO) by considering the mediating role of user behavior on this effect. A conceptual research model was developed in accordance with the UTAUT and based on a thorough analysis of extant research. A self-handled questionnaire survey was administered to a purposely selected sample of employees working in telecommunications companies in Jordan. A dataset of 131 usable questionnaires were subjected to data analysis using SmartPLS 3.0. The main findings showed that IoT affected SEO and user behavior. User behavior was also found to be significantly predicted by IoT and to mediate its effect on SEO. The results revealed the significance of SEO as an emerging effective electronic marketing tool in encouraging consumers' adoption of new technologies. The paper ends with a discussion of findings, conclusions, and areas for future research.

Nowadays, shopping for travel products through online travel agent has become very popular. This study aims to explain the effects of perceived ease of use, perceived usefulness, and trust on attitudes and intentions to reuse online travel agents. The population of this research is the users of the online travel agent Traveloka application in the city of Denpasar. The sample in this study was taken using a non-probability sampling method with a total of 200 respondents. Data collection was carried out using survey methods. The data obtained were then processed using SEM-PLS analysis tools. This study found that perceived ease of use had a positive and significant effect on perceived usefulness and attitude toward using from the Traveloka website. Perceived usefulness had a positive and significant effect on attitude toward using the Traveloka.com website. Trust had a positive and significant effect on perceived usefulness and attitude toward using from the Traveloka website. Attitude toward using had a positive and significant effect on the intention to reuse the Traveloka.com website. This research also proves that attitude toward use of online facilities mediates the influence of perceived ease of use, perceived usefulness and trust on the intention to reuse the Traveloka.com website.

This study aims to investigate the impact of integrating essential factors on Internet usage continuance intention in students’ context. The proposed model examines the influence of perceived enjoyment, perceived image, satisfaction, information value, and emotional value on Internet continuance intention. Additionally, it investigates the role of Internet addiction, satisfaction, and continuance intention on academic performance among university students. A survey questionnaire method was adopted to collect data from university students in Jordan. Data was collected from 450 voluntary participants, and the analysis was conducted using SPSS and AMOS. The analysis results show that perceived enjoyment, perceived image, information value, and emotional value have a significant positive influence on continuance intention of Internet use. Besides, the results show that continuance intention has a positive impact on satisfaction and Internet addiction. While continuance intention has a significant positive impact on students’ academic performance, and Internet addiction has a significant negative impact on students’ academic performance, the impact of satisfaction on academic performance was not supported. This study is the first to examine integrating of perceived enjoyment, perceived image, information value, and emotional value on Internet continuance usage. Furthermore, this study is also distinguished from other studies by investigating the negative impact of Internet addiction on students’ academic performance gap.

YouTube and TikTok have gained increasing recognition as social network sites to support online knowledge acquisition, sharing, and application via social media platforms in the medical field. This study examines which aspect of TikTok and YouTube stimulates doctors, nurses, and any other YouTube and TikTok in the medical setting, to rely on them as sources of knowledge acquisition and sharing to keep their medical repertoire updated. A hybrid model is designed to investigate users’ acceptance of YouTube and TikTok as social media platforms. The model focuses on four main external factors: content richness, innovativeness, satisfaction, and enjoyment. These factors are connected with two TAM constructs which are perceived ease of use and perceived usefulness. The results have shown that both YouTube and TikTok are affected by PEOU, PU, personal innovativeness, flow theory, and content richness. Both social media networks provide up-to-date sources described as useful, enjoyable, and relevant. Nevertheless, the comparative results have shown that YouTube has deeply influenced users’ medical perception and knowledge compared to TikTok. It is created for the very mere purpose of socialization and self-expression. In contrast, YouTube is used for educational and non-educational purposes due to the type of uploaded content and time management. Therefore, TikTok developers and influencers should initiate highly specialized videos and create content that raises awareness of medical field issues.

This paper focuses on the impact of fear emotion upon technology adoption by educators and students during Covid-19 pandemic. Mobile learning (m-learning) has been applied as the educational social platform within higher education institutes, public as well as private. The research hypotheses were associated with the Covid-19 influence on m-learning adoption with the rise of the coronavirus increasing types of fear. Such fears include fear caused by the education failure, family lockdown, and loss of social relationships. Teachers and students are mostly fearful of these aspects of the situation. An integrated model was established within the research, using theoretical models; the Planned Behavior theory, the Technology Acceptance Model, and the Expectation-Confirmation Model. The proposed integrated model (using PLS-SEM software) was analyzed using an online survey data, with 420 respondents from Zayed University, UAE. The findings indicated that attitude was the best predictor for using the m-learning system, followed by continuous intention, expectation confirmation, perceived usefulness, ease-of-use, perceived fear, behavioral control, and satisfaction. According to the research, during the coronavirus pandemic, if the m-learning system is adopted for educational reasons, the learning and teaching outcome proves quite promising. Yet there is a fear of the family being stressed, or of loss of friends, and also a fear of the results of future schooling. It is therefore necessary to assess the students efficiently during this pandemic so that the situation can be managed emotionally.

The purpose of this study is to analyze the effect of customization purchase intention of Smartphones, entertainment, interaction, social media marketing, trendiness, and Word-of-Mouth on purchase intention of Smartphones. The study uses a quantitative method by distributing online questionnaires to 217 consumers in Banten Indonesia and the method of distributing questionnaires is a snowball sampling system. Data processing and testing of hypotheses and models in this study are based on Structural Equation Modeling (SEM). The research has benefits in increasing knowledge and information for companies about the importance of brand awareness through increasing influencing factors such as social media marketing and word of mouth. Based on the results of SmartPLS analysis, Interaction, Word-of-Mouth, Social media marketing, Entertainment and Trendiness have insignificant effects on purchase intentions of Smartphones while Customization has significant effects on purchase intentions of Smartphones during.