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.

The development of technology and information has influenced people's lifestyles in making purchases from conventional to online shopping. Research on online marketing has become an interest in academics and practitioners in recent years. Measurement for e-service quality in this study will be reconstructed based on a review on previous conceptual and empirical literature. The purpose of this research is to build customer e-service through the reconstruction of e-service quality dimensions. The research uses cross-section data with geographically dispersed location of users of online travel services in the region of Indonesia. Model testing is performed using structural equation modeling with a sample count of 262 respondents. The analysis results show that the efficiency and incentive dimensions meet the creation of the e-service quality construct.

This study aims to explore the impact of satisfaction and trust on stickiness to Facebook. Also, it proposed that hedonic value, emotional value, and social value act as critical antecedents to Facebook stickiness. A quantitative methodology is used to examine the research questions. The research model was tested with data from 511 university students and five academic professors using an online survey. The proposed hypotheses were tested using regression analysis. Furthermore, Data were collected from targeted participants with Facebook experience, among the 511 participants, 353 were females (69.1%), and 158 were males (30.9%). The SEM analysis showed that satisfaction positively and significantly did affect stickiness, where trust did not. Also, results showed while hedonic value affected satisfaction, it did not impact trust. Hence, the results confirmed that hedonic value served as important value concerns for Facebook users. Nevertheless, the study found that both emotional value and social value impacted satisfaction and trust. The current research has enriched the existing study in the fields of customers’ satisfaction and trust on stickiness to Facebook. Moreover, this research is one of the earliest studies that proved that customer value creation serves as an important driving factor for customer satisfaction to generate stickiness to SNS. This study’s results help policymakers and designers of SNS to understand what value factors affect users’ stickiness to Facebook. Their marketing plans and decisions can be accordingly adjusted. This study suggests that marketers need to pay full attention to social value by adding more interactive features such as comments, likes, and shares in order to build social image and increase one’s social influence.

Women entrepreneurs and the informal sector are looking for footholds in the COVID-19 pandemic, which will lead women to develop creative businesses. This study examines the role of sharing knowledge and innovation in addressing gaps in social capital and marketing performance. Purposive sampling is used in the technique sample with 229 samples and Structural Equation Modeling (SEM-PLS) analysis techniques with SmartPLS is used for processing applications. The results show that social capital has a positive effect on the business performance of women entrepreneurs in Bali, Indonesia. The knowledge-sharing variable can be a mediator in the relationship between social capital and performance, and social capital has a significant positive effect on innovation, but innovation does not have a positive effect on marketing performance and knowledge sharing. In the end, women entrepreneurs will use knowledge sharing to create various innovations to meet market demand. However, opportunities for women entrepreneurs are very limited on capital due to the lack of guaranteed capital, and a lack of entrepreneurial skills in the era of technology, market access, bureaucracy, and legal matters. In addition, managerial skills, access to information technology, and the perspective that men should excel in Balinese culture and customs, limit business for women entrepreneurs.

The aim of this study is to explore factors affecting the adoption of blended learning strategy. Data was collected using a questionnaire consisting of 42 items, distributed to a random sample of 174 faculty members of Saudi Electronic University and Qassim University. IBM SPSS was used to conduct data analysis. Supporting research hypothesis indicates that student, institutional and learning variables had significant influences on the adoption of blended learning strategy. Considering the findings, it was concluded that the adoption of a blended learning strategy depends not only on the technological aspect of the learning process but also on people, i.e., students who are engaged in the process and motivated teachers who possess the required knowledge and skills. The most important implication of this research is that policy and decision makers in business educational schools are requested to consider factors that had a significant effect on the adoption of blended learning. In doing that, the research contributes to the blended learning knowledge via highlighting the key variables that encourage or hinder the adoption of blended learning strategy.