Since COVID-19 became a pandemic, the global economy has been dramatically affected. Not just that, the consumer behavior in the retail market has also changed. This paper aims to examine the effect of the coronavirus crisis on consumer behavior in retail services. The paper will focus on retail banking services, especially the Jordanian banking sector. The goal of the study was achieved by conducting a survey among Jordanian consumers in the retail banking sector, which was done using questionnaires, a sample of 240 retail customers from 14 valid participants. The paper brings new insight into how the pandemic affected retail banking services and proves the acceptance of online and banking in the conceptual model. The results show that the variables around attitudes toward the internet and mobile banking were directly and positively affected by the variables related to the perception of the pandemic's impact on the consumer's lifestyle. Other variables such as the safety of using online and mobile banking services and phones also contributed to this rise in a positive attitude. The Trust in Mobile and internet banking has several administrative and social implications, which were also discussed. Because new consumption behavior models are being developed, mobile and internet services could prevail even after the later stages of the epidemic. Initiatives to provide online educational programs, especially financial courses, should be intensified by the banks in Jordan to enable their customers to be familiar with the use of the banks' online banking services. They should enhance their communication with their customers and offer new products and services while also showing flexibility while negotiating to refinance and loaning terms.

This study aims to determine the effect of social media marketing activities on brand trust, brand equity and brand loyalty in social media. The study uses the Structural Equation Modeling (SEM) method with SPSS 3.3.3 software with a sample of 450 respondents determined by the simple random sampling method who had experience of using social media for at least six months. Data was obtained by distributing online questionnaires using google form. The results show that social media marketing has a positive effect on brand trust, social media marketing has a positive influence on brand equity, and social media marketing has a positive influence on brand loyalty. Brand trust has a positive influence on SMEs Performance, Brand equity has a positive influence on SMEs Performance and finally brand loyalty has a positive influence on SMEs Performance.

Recently, the credibility of digital reviews has played an essential role in the shopper's buying behaviors and decisions. Since there is a dearth of experimental research about the shoppers' credibility evaluation regarding digital reviews, this study aimed to investigate the factors that affect digital review credibility and its influence on buying choices among Jordanian consumers. With the help of elaboration likelihood theory, a research model has been established that experimentally test it through structural equation modelling from the data gathered from 246 users of the digital review website Amazon. The study's findings suggest factors that consist of the argument quality, like accuracy, completeness and quantity of digital reviews, and the peripheral cues, such as reviewer expertise, rating of goods or services, and website reputation. However, both significantly influence digital review credibility. Thus, they positively impact the buying decisions of shoppers.

Sustainable Learning and Education (SLE) is a recent emerging philosophy founded on sustainability principles and in response to the UN announced Sustainable Development Goals (SDGs). Therefore, technologies should be implemented to empower educational institutions to achieve SLE. This study aims to investigate the factors impacting the intentions of using blockchain technology for SLE in Jordanian universities. Accordingly, an extended Technology Acceptance Model (TAM) is proposed where five more factors are integrated. To this end, an extended model was proposed and validated using structural equation modeling based on 407 responses collected using an online survey. The results showed that adopted factors significantly impact blockchain use in SLE. We believe that the study finding would assist decision-makers in building systems for sustainable learning and education for the Jordanian higher educational institutes.

Corporate Social Responsibility (CSR) policy, digital marketing and green marketing are considered as some of the most emerging topics. However, the major problem is associated with the lack of CSR policies, development and adaptation of green marketing in the companies operating in manufacturing companies in the UK. In this manner, this study aimed to determine the role of digital marketing, CSR policies and green marketing in brand development. Concerning this, the case of UK’s manufacturing companies was considered which can help the manufacturing companies operating in the UK to make the development of brand more effective, as the consumers would perceive the brand which complies with the environmental laws. To attain the aim, the researchers utilized a quantitative method of data collection where a close-ended survey questionnaire was utilized. The data was collected from the concerned participants working in the manufacturing sector of the UK and the sample size considered for the analysis was based on 404 participants. The analysis was conducted using Structural Equation Modeling (SEM) on Smart PLS. The analysis revealed that the overall impact of green marketing, CSR policy and digital marketing was statistically significant on the brand development of UK’s manufacturing companies. Considering this, it has been recommended to the manufacturing companies in the UK to focus on environmental disclosure, green innovation, green alliance and promotional activity for the purpose of ensuring brand development. However, this study is limited to the geographical bounds of the UK; therefore, it has a certain room for future research.

This study seeks to empirically examine the effect of Perceived web quality (PWQ), Perceived Benefits (PB), Security and Privacy (SP), Behavioral Intention (BI) and electronic Word-of-mouth (e-WOM) among online travel agency users in Indonesia. In this study, the behavioral intention variable is the mediating variable, and e-WOM is the dependent variable. The study was conducted on 150 online shopping users in Indonesia using the PLS analysis tool. The test results show that the variables Perceived web quality (PWQ), Perceived Benefits (PB), Security and Privacy (SP) have a significant influence on Behavioral intention (BI) and on electronic Word-of-mouth (e-WOM). The results of the mediation test showed that Behavioral intention (BI) was able to strengthen the influence of the independent variable on electronic word-of-mouth (e-WOM). This study practically underscores the importance of website quality and security and privacy aspects as factors that influence user intentions of online travel agencies in Indonesia. The push for online service providers and sellers to improve services and shopping security in the digital age is a practical implication of this finding.

Machine learning (ML) is implementing artificial intelligence (AI) research within medicine that has made dramatic progress in recent years. In addition to standard treatments, the role of complementary and alternative medicine should be mentioned. Traditional Thai medicine has received growing acceptance as a complementary approach to modern medicine by using local herbs. A vast amount of Thai herbal knowledge and information is freely available on the Internet. The reader must evaluate each website and decide to use trustworthy and appropriate information. This study aimed to acquire Thai herbal knowledge recorded in the Thai language system on the Internet by scraping websites using programming techniques. The knowledge was extracted with programming, and the types of Thai herbs were classified corresponding to target symptoms by the machine learning algorithm. The ML method organized the process when sufficient achievement was reached in order to give reliable and high accuracy results from the training data set. The validation of extracted knowledge was achieved by using the part-of-speech tag patterns analysis. This study showed that the programming and machine learning system was appropriate for obtaining and classifying Thai herbal medicines knowledge.

Social commerce is a first-generation platform that uses a variety of social attributes to attract the attention of internet users. The impact of platform interactivity components; Content Usefulness, Engaging, Real-time communication, and E-wom on customers' purchase intentions was investigated in this study. A Quantitative research method was applied in this study using an online self-administrative questionnaire that was published using Google Docs to collect data, and 521 consumers participated in an online survey. The research used SPSS and AMOS to validate and test the hypotheses. All platform interactivity components were significantly affecting purchase intention. This study provides insights to marketing managers of how consumers perceive social commerce and what affecting them along with practical and theoretical implications.

The advent of digital marketing has replaced traditional marketing and shed a great impact on the global economic paradigm. Digital market helps to flourish the service sector by offering the customers desired products. Therefore, the aim of this study is to examine the impact of digital marketing capabilities on business performance enhancement in the United Arab Emirate (UAE) insurance sector. This study used the cross-sectional survey questionnaire method for data collection. This study empirically validated that digital marketing capabilities have a significant impact on business performance enhancement by using the partial least square-structural equation modeling analysis. The findings of this study will be helpful for the regulators and policymakers to design a policy to enhance the business performance by using the means of digital marketing.

This study aims to examine how Social Media Influencers (SMIs) influence patronage intentions (PI) through the influence of mediation on the brand credibility (BC) in the electronic devices sector in Jordan. Furthermore, the data were obtained by an online questionnaire based on Google Forms and a total of 315 followers in Jordan using an appropriate sampling method. structural equation modeling using Smart PLS 3 was used to investigate the relationships between SMIs, brand credibility, and patronage intentions (PI). The results indicated that SMIs directly influence PI and BC. BC Partially mediates the relationship between SMIs and PI. Research limitations in this study focus on a single sector electronic device at a specific location in Jordan. Future research may conduct cross-cultural studies to improve the generalizability of the present research findings.