The research is aimed to understand the influence of social media in marketing on brand awareness, which in the end influences purchase intention in the fashion industry. It uses a qualitative approach to study the three variables, namely social media marketing, purchase intention, and brand awareness. In this research, the needed number of samples are 270 respondents and data are processed using SPSS to conduct validity, reliability, normality, classic assumption, single, and multiple linear regression. Results from SPSS are also used in the Sobel Test. Complemented with secondary data from literature studies, the hypothesis is tested. From the test, every hypothesis has significant positive influences. In conclusion, a brand can influence purchase intention significantly by utilizing social media marketing. This works by stimulating brand awareness to consumers to influence purchase intention.

Social media technology as borderless media has made it easier for small and medium-sized businesses (SMEs) to interact with their customers. The application of social media has impacted the operation and information sharing of SMEs, allowing them to develop innovation opportunities, to meet customer needs, and to improve firm performance. This study examined the influence of social media use on business networking quality and product innovativeness of SMEs. The data for this cross-sectional study were gathered from jewelry crafting SMEs in Bali, Indonesia using the survey method. The data were analyzed using the covariance-based statistical analysis technique with SPSS via AMOS 23. The results indicate that, while the direct link between social media adoption and firm performance is not significant, this path is fully mediated through business networking quality and product innovativeness. Hence, these SMEs should leverage their social media adoption due to strong business networking quality and product innovativeness enabling competitive advantage that heightens firm performance. Firm-level product innovation can harness the economic performance of the SMEs. The study limitations and future research endeavors are presented at the end of this paper.

This study aims to determine the effect of e-readiness, e-learning, e-book on the achievement of graduate students; and the influence of e-readiness, e-learning, and e-books on the achievement of graduate students. The research population is graduate students with a sample of 210 doctoral students in Jakarta. The sample selection method is simple random sampling. The research method is a survey method with an associative approach. The data analysis technique is structural equation modeling (SEM) using SmartPLS 3.3.3 software and the data was obtained through the distribution of online questionnaires. The results show that there was an effect of e-readiness on graduate achievement; there was an effect of e-learning on graduate achievement; and finally, there was an effect of e-books on graduate achievement. This research can indicate that the curriculum developed by the students is in accordance with the learning outcomes, especially in the implementation of the learning process.

The purpose of this study is to analyze the influence of social media marketing on e-commerce customer satisfaction and loyalty. This study provides insight into the importance of consumer loyalty in the e-commerce industry. The approach used in this study uses quantitative methods through surveys. This study uses a sample of 222 respondents of e-commerce customers. The study uses an online questionnaire through Google Docs. The questionnaire given contains structured questions that are limited by screening, profiling questions and questions related to research variables that affect e-commerce consumer loyalty. The distribution of the questionnaires was carried out by posting on social media groups and direct messages to respondents in accordance with the research requirements. Data analysis of this research, using SEM model using SmartPLS 3.0 software. The results of this study indicate that social media marketing had a significant effect on e-commerce consumer satisfaction, social media marketing had a significant effect on e-commerce consumer loyalty and satisfaction had a significant effect on e-commerce consumer loyalty.

Structural equation modeling offers various estimation methods for estimating parameters. The most used method in covariance-based structural equation modeling (CB-SEM) is the maximum likelihood (ML) estimator. The ML estimator is typically used when fitting models with normally distributed data. The growth of partial least squares path modeling (PLS-PM), including consistent partial least squares (PLSc), has also been noticed by researchers in the SEM fields. The PLSc has elevated interest in the scholastic setting in measuring the performance of various estimation methods in structural equation modeling. The choice of estimation methods has substantial impact in yielding parameter estimates. There could be a trade-off among the estimation methods’ ability to deal with different types of data based on the model tested. Accordingly, this study aims to compare the performance of ML, generalized least squares (GLS), and scale-free least squares (SFLS) for CB-SEM as well as partial least squares (PLS) and consistent partial least squares (PLSc). Multivariate normal data were generated using Monte Carlo simulation with pre-determined population parameters and sample sizes using R Programming packages. To produce the estimated values, data analysis was performed using AMOS and SmartPLS for CB-SEM and PLS-SEM, respectively. The findings illustrate notable similarities between CB-SEM (ML) and PLS-SEM results when the true indicator loading is certainly high.

The aim of the study was to examine the impact of digital marketing capabilities on organizational ambidexterity by focusing on the Information Technology Sector in UAE. Data were primarily gathered through self-reported questionnaires created by Google Forms which were distributed to a purposive sample of managers at different levels via email. This study was conducted structural equation modeling (SEM) to test the hypotheses, which represents a contemporary statistical technique for testing and estimating the relationship between factors and variables. The results showed that the highest impact on organizational ambidexterity was for strategic approach and data content infrastructure, followed by integrating customers with employees, and finally the lowest impact belonged to the process of improving performance. Based on the study findings, the researcher hopes that the decision-makers and managers define all tasks, roles and work procedures in companies through digital marketing systems to improve their organizational ambidexterity and enhance their performance.

The influence of social media in providing the information is undeniable in the current era. How the information is received is then processed as a helpful reference in deciding the purchase is always an exciting thing to discuss. Based on Self-Determination Theory (SDT), in this study, we examined how motivation arises in the form of fear if left behind or not involved in an excellent condition when consuming a product—through quantitative. Data approach collected from 231 sample people, then processed with Structural Equation Modeling using AMOS 23 through Confirmatory Factor Analysis and Model Fit Testing. The study results confirm that social media content can increase fear of missing out (FOMO), encouraging consumers to make purchases. The results of this study show that purchasing decisions influenced by FOMO can provide satisfaction for consumers. Situational Determinants, namely Perceived favorability and Self-relevance can significantly influence FOMO compared to personal traits (fears, worries, and anxieties). The results of this study are in line with Self Determination Theory, where the personal motivation of consumers in making purchases will encourage the creation of satisfaction.

This study is aimed at exploring the effect of empowerment on creative work and entrepreneurship behavior. It is also aimed at identifying the mediating role of sharing knowledge between them. The relevant data were collected through a questionnaire from (9) Jordanian commercial banks, where (340) questionnaires were distributed to workers in the Jordanian commercial banks. In addition, a statistical analysis was used to show the relationship between the variables and draw the conclusions. The results of the study show there is an empowering effect on creative work behavior through knowledge sharing. Moreover, it also showed that there was an empowering effect on entrepreneurship through knowledge sharing. This study does, to a large extent, bridge the gaps within the literature and develops an understanding of how to empower employees in order to increase their creative behavior, make them entrepreneurs, and enhance the same through knowledge sharing. The results of this study indicate that there are certain important benefits for the workers in the banking industry which can be gained through facilitating more innovative behavior among their employees. The results also indicate that employee’s empowerment and enhancing knowledge sharing are essential to creative and entrepreneurial work behavior.

This study aimed at examining the impact of E-HRM on organizational health. It focused on telecommunications companies operating in Jordan. Data were primarily gathered through self-reported questionnaires created in Google Forms and distributed to a purposive sample of senior managers via email. AMOSv24 was used to test the study hypotheses. The results of the study show that E-HRM has a positive impact on organizational health. Based on the obtained results, the researchers recommend managers and decision-makers of the telecommunications companies in Jordan to invest in electronic human resources systems, which can help them fully implement human resources practices electronically, to obtain economic savings and to be able to attract talents. The study also highlights the importance of focusing more on the electronic training and development process in order to raise individuals’ practical capabilities, which is reflected in their creativity.

Customers' online shopping intentions have not changed in response to technological advancements, making it difficult for businesses and marketers to invent new strategies to maintain long-term relationships with customers and encourage them to repurchase despite unprecedented technological advancements around the world. Following these issues, the current study investigated how M-CRM, Perceived Ease of Use, and Perceived Usefulness influenced Post-Purchase Behavior, as well as how Ease of Use and Perceived Usefulness mediated the relationship between M-CRM and Post-Purchase Behavior. The study introduces the Unified Theory of Acceptance and Use of Technology as a theoretical framework to accomplish this goal. The 239 responses were evaluated using Smart Partial Least Squares after the data was obtained from a random sample of Jordanian consumers. M-CRM, as well as Perceived Ease of Use and Perceived Usefulness, had a beneficial influence on post-purchase behavior, according to the data. Perceived Usefulness and Ease of Use The relationship between M-CRM and Post-Purchase Behavior was impacted by usefulness. Companies might use these facts to develop a marketing strategy for Jordanian customers.