The aim of this research is to examine the impact of supply chain management through social media on competitiveness of the private hospitals in Jordan. The population of the study includes managers in various administrative disciplines. Therefore, the complete census method was used in this research to collect the primary data, where the total responses were 438 responses were used for analysis. The questionnaire was used as a basic instrument in the current research, as it was designed electronically through Google Forms and sent to the research sample via email. AMOS software was used to test the research hypotheses. The results showed that all dimensions of supply chain management through social media had a positive impact on competitiveness; the greatest effect was for strategic relations with suppliers. Based on the study results; managers at the examined companies should enhance their usage of social media with suppliers, according to the report, in order to support strategic connections with them.

The development of Islamic tourism such as Umrah does not get much attention in the literature though there are 6 million people all around the world performing Umrah every year. Nowadays, social media has been recognized as an important tool in building and maintaining the image of tourist destination especially in the Umrah context. Thus, the purpose of this study was to examine the effect of social media experiences (interactions and sharing of contents) on attitudes and behavioral intentions towards Umrah package (booking decisions and electronic Word of Mouth) among generation X and Y. Sums of three hundred eighty-four respondents were engaged as the respondents. The population of this study was among Malaysian Muslim citizens who had social media experiences in seeking online information and knowledge about Umrah and already performed Umrah. The data then was analyzed using the Statistical Package for Social Science (SPSS) and Partial Least Squares (PLS) software. The findings of this study confirmed that sharing of contents of social media experiences has significant and positive relationship on behavioral intentions (booking decisions and electronic Word of Mouth).

Social media is one of the most important elements in the process of industry 4.0. It has transformed itself into not just a platform for social interactions, but into a powerful marketing tool. People posting pictures or information through social media will likely influence others seeing it. This research investigates the impact of social media postings on millennial (Gen Y) tourists’ decision in choosing destinations, as well as the perceptions of social media users toward the information they gather from the social media about the tourism destinations. World Travel and Tourism Council in its release in 2018 revealed that tourism industry represents 10.4% of total global GDP. The industry has also contributed 20% of new jobs globally created in the last decade. The findings from samples taken from respondents in greater Jakarta (Jakarta, Bogor, Depok, Tangerang and Bekasi) show that social media contributes significantly on shaping the millennial tourists’ decision in choosing their holiday destinations.

This research examines the customer engagement on social media platforms in the tourism industry and its effect on customer loyalty through the mediated effect of customer trust. Furthermore, the moderating role of product learning is investigated on the hypothesized relationships. Data was collected from guests in 5 stars hotels in Kyrenia region in Northern Cyprus. In this study, out of the 459 collected surveys, only 419 were analyzed due to missing or incomplete data. The analysis conducted here followed the two step approach for structure equations modelling. Firstly, a confirmato-ry factor analysis was appraised to prepare data for structural model. Then the structural model helped shape our direct hypothesis testing, before analyzing the mediating and moderating impacts. The data provided evidence to link customer interactions on social media with trust and loyalty (Hypotheses 1-3) while trust revealed a mediating effect between interaction and loyalty. Finally, product learning did have an empowering impact on the relationship between interaction and trust.

The Kingdom of Saudi Arabia has witnessed a significant surge in online shopping in recent years, fueled by factors like growing internet penetration, smartphone adoption, and government initiatives supporting e-commerce growth. This rise in online activity has led to a corresponding increase in the utilization of online courier services, playing a crucial role in ensuring timely and efficient delivery of goods In this context, understanding public perception of online courier services becomes crucial for businesses to improve their offerings, address customer concerns, and maintain a competitive edge. Social media platforms have emerged as a valuable source of customer feedback and user-generated content, offering insights into customer experiences and opinions. This paper presents a sentiment analysis on online couriers in Saudi Arabia using natural language processing techniques combined with Decision Tree and Support Vector Machine (SVM) classifiers of machine learning. A dataset on customers’ sentiments was created by a crawling process from X social media. Both classifiers perform well, with Decision Tree classifier performs slightly better on accuracy, i.e. 95.01% compared to 93.60% of the Support Vector Machine. Other metrics support the robustness of the classification.

This study aims to confirm the information sharing behavior using social media scale and to vali-date every item and make it reliable as an inventory by using Exploratory Factor Analysis (EFA). The researcher adapted the measuring instruments for every latent construct from the literature and customized the items to suit this particular study. The study sent the revised questionnaire to 262 respondents in order to gather the pilot study data and able to get 163 filled ones as final data. The set of questionnaires consists of 66 items that assess the 6 constructs. Data is analyzed using SPSS AMOS Version 21.0. The results show that every construct achieved its Bartletts’ Test of Spherici-ty 6.0 with the re-sult of Information Sharing Behavior .000 and .871; Intention .000 and .782; Belief Expectancy .000 and .911; Attitude Influence .000 and .925; Readiness For Change .000 and .959; and Self-Efficacy .000 and .902. The entire item of the construct has exceeded the minimum limit of 0.7 reli-ability of Alpha Cronbach value to achieve the Internal Reliability. The new integrate model has been proposed due to this finding.

This research investigates how social media content marketing impacts customer engagement and it gives more weight to consumer cognition as an intermediary means. According to the study, digital communication has transformed significantly in our modern era, from simple communicative and content-sharing platforms to social media networks evolved into major marketing platforms. Organizations now fundamentally bring about transformations in their interaction with consumers depending on how they choose to use these public forums. As well, this paper begins to provide a comprehensive review of the social media content marketing literature, with topics such as augmented reality, credibility of content, user-generated content, and customer perceptions. The paper has a survey sample of 350 managers from relevant organizations, selected to provide a broad representative range across fields and industries. This study, under the Technology Acceptance Model, aims to understand better, how consumers accept and employ social media content marketing. Research questions to be addressed in this forthcoming paper include an investigation into how consumer belief serves to mediate the relation between social media content marketing and customer engagement Additionally, it aims to investigate the extent to which consumer cognition intervenes in this link, and whether consumers' beliefs moderate results of an interaction with social media platform contents source (such as reading a blog or watching a video). With this theoretical framework and the related literature, the project aims to provide significant insights and make a more successful marketing practice.

This study investigates the relationship between interaction, entertainment, trendiness, brand engagement, and purchase intention in the context of TikTok as a social media platform. Using a quantitative research approach, online questionnaires were distributed to 197 respondents who met specific criteria, including active usage of TikTok and being under 45 years old. The data collection period spanned from March 2023 to May 2023. Data analysis was conducted using variance-based structural equation modeling (PLS-SEM 4.0). The independent variables in the study are interaction (X1), entertainment (X2), and trendiness (X3), with brand engagement (Z) serving as the mediator variable and purchase intention (Y) as the dependent variable. The results revealed that interaction, entertainment, and trendiness significantly positively affect purchase intention, with brand engagement playing a moderating role in this relationship. This study sheds light on the influence of TikTok content attributes on consumers' purchase intention and underscores the importance of brand engagement as a key factor in shaping their purchasing decisions.

Company activities can yield both favorable and adverse outcomes. Among the detrimental effects are various environmental crises stemming from companies' failure to responsibly manage and uphold ethical business practices within their operational environment. This study aims to scrutinize the impact of artificial intelligence and social media on augmenting public administration decision-making and its repercussions on corporate social responsibility within enterprises situated in Sidoarjo, East Java Province, Indonesia. The sample comprises 130 respondents representing companies actively engaged in corporate social responsibility endeavors. Employing purposive sampling technique, data collected from surveys were subjected to Structural Equation Modeling-Partial Least Squares (SEM-PLS) analysis. The research outcomes and data analysis reveal that artificial intelligence significantly and directly influences corporate decision-making as well as public administration of social responsibility. Likewise, the utilization of social media by both corporations and government exhibits a direct and positive correlation with corporate decision-making and corporate social responsibility. Public administration decision-making also demonstrates a direct and significant impact on corporate social responsibility within companies in Sidoarjo, East Java Province, Indonesia. Moreover, public administration decision-making partially mediates the effects of artificial intelligence utilization and social media utilization on public administration of social responsibility within companies in Sidoarjo, East Java Province, Indonesia.

The Covid-19 pandemic which has spread across all countries, including Saudi Arabia, has caused the government to create limited curfew policies in the country that affected the economy. This policy has given rise to a new trend in society, namely the habit of shopping online. The trend of purchasing online via e-commerce increases. However, people's opinions and attitudes towards this trend vary. Therefore, this research was conducted with the aim of determining the subjectivity of public opinion or sentiment on the e-commerce activities using probability and statistical approaches, i.e.: the Naïve Bayes (NB) and Support Vector Machine (SVM) classifiers. Three experimental scenarios of dataset splitting for training and testing; 90%:10%; 80%:20%; and 70%:30%. The comparison of accuracy values was carried out using an automatic labeling method. Experimental results show that the 70%:30% split scenario provides the best result, with 89% of accuracy, 99.7% of Precision, 88% of Recall and 93.5% of F1-score for the SVM classifier.