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.

The current research scrutinizes the relationship between the three model commitment components (affective, normative, and calculative commitment) and their various influences on customer loyalty. This is particularly in the banking sector setting in Jordan. A self-reported questionnaire was distributed to collect primary data for analysis. 333 completed questionnaires were analyzed via using PLS software to extract the effect of e-service quality on the relationship between customer commitment and loyalty. The results of this study demonstrate that the affective type of commitment has a positive impact on customer loyalty followed by normative commitment and lately by calculative commitment. Moreover, the results show that the influence of the dimensions of customer’s commitment on loyalty is moderated by e-service quality. This study indicates that affective commitment elements (self-identification, sense of belonging and emotional attitudinal components) are essential for customers when they deal with their bank. On the other hand, the cost associated with leaving has shown to have the weakest impact on customer loyalty. Companies must know that customers may switch even though the cost associated with leaving is high.

The purpose of this paper is to examine effects of hedonic and utilitarian aspects of consumer behaviour toward e-loyalty and how e-satisfaction plays a mediating role between them. A survey method was adopted to test the research model. The primary data for the survey was collected during January 2021, using the convenience sampling approach, from business school students. The structural equation modelling method was used to analyse the data with AMOS 22.0 software. The measurement model was estimated through a confirmatory factor analysis before testing the structural model framework and hypotheses (response rate 94.3%, n=264). The results showed that hedonic and utilitarian shopping values have great influence in shaping e-satisfaction. The study also highlights the importance of mediating the role of e-satisfaction between shopping values and e-loyalty. This research highlights why and how ‘satisfaction with website’ matters in the contribution of shopping values to behavioural outcomes by presenting its mediating role. The study offers implications and suggestions to e-retailers by specifying characteristics that should be given more consideration in order to increase online consumer e-satisfaction and e-loyalty. It also contributes to the present body of knowledge on shopping and buying behaviour in the online context, especially for those who have theoretical and managerial interests on the subject in emerging economies like Jordan. The novelty of the paper comes from the fact that it cumulatively captures the factors influencing online consumers’ loyalty in the Jordanian context, apart from validating the mediating role of e-satisfaction.

This study aims to examine and explain the role of brand love in mediating the effect of intensive distribution and promotion of social media on brand loyalty and e-WOM. The population of this research are customers of minimarket franchise businesses in Bali. The sample size used was 200 people with purposive sampling method. The analytical technique used is Path Analysis using SEM-PLS. The results showed that the intensive distribution had a positive and significant effect on brand loyalty and brand love. Brand love is able to mediate the effect of intensive distribution on customer loyalty, brand and e-WOM and brand love are able to mediate the effect of social media promotion on brand loyalty and e-WOM. Therefore, it is important for the minimarket franchise business to pay more attention to intensive distribution and vigorously promote social media through various choices of the latest social media platforms.

Fake news has become a major problem affecting people, society, the economy and national security. This work proposes a combined deep learning model based on the ideal distance weighting method for fake news detection. The proposed model was validated on the ISOT and COVID-19 fake news datasets. Firstly, the ISOT and COVID-19 fake news datasets were collected. Secondly, the training-based models were used to provide accuracy values. After that, these values were transformed into criteria weights using the new ideal distance weighting method. Finally, the prediction value of the proposed model is calculated by the criteria weights. The results show that the proposed method is effective to distinguish the fake news datasets.