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.

The purpose of this study is to explore the marketing strategies for the introduction of Beacons technology applications (BLE) technology in businesses and how it can convert potential clients into satisfactory and loyal customers. Open innovation is the pathway to taking businesses to the next level with the help of and introduction to BLE technology contributions. Companies are flexible towards adopting new technologies to make sure that their marketing strategies are working positively. Global Village Dubai was the market that we targeted to study the customers’ needs and wants. This was done through 138 questionnaires distributed among 159 stores that met our research criteria. We used ANOVA through the SPSS program for analysis of the data. The results supported all our hypothesis of the study, which means there is a positive and strong relationship of adopting BLE technology on customers’ satisfaction which leads towards customers’ loyalty, making them stick to the brand for long term. The results of our research revealed that Beacons technology applications have positively influenced marketing strategies which in turn have impacted customer satisfaction and loyalty. The proximity marketing is the best strategy developed in lieu of open innovation. Future studies are welcomed for analyzing the same model in perspective of other markets for clearer advocacy of the hypothesis that proximity marketing is the marketing strategy that helps in customers’ happiness leading towards their loyalty.

Universities are an integral part of the skills and innovation supply chain for businesses that are multidimensional, sustainable, quality, and enduring in the long term. In pursuing this role, universities are encouraged to establish a university-industry cooperation (UIC) context that supports faculty and students to engage in business activities. Collaboration is very important for universities, because universities are not only research universities, but must reach the level of learning colleges. The results of the research found that implementing UIC regulations affected the performance of university academic innovation, it also found that the knowledge management mechanism was an important factor to improve the performance of university academic innovation, and the implementation of regulations also played a role in developing knowledge management and performance of university academic innovation.

This research is intended to measure the influence of Social Media Marketing which uploads tourist destinations in Banten Province with interest in visiting mediated by perceived value. The research method uses a hypothesis testing model and uses a cross sectional model, where data is collected completely within a certain time. The study uses a convenience sampling technique, where the sample members are respondents who are easy to find, and this convenience makes data collection more effective and efficient since it saves time and costs. The sample in this study were 290 tourists who had visited Banten Province. The technique of collecting data in this study used an online questionnaire, data analysis using structural equation modeling (SEM) using SmartPLS 3.0 software. The study concluded that there was a significant relationship between Social Media Marketing and Perceived Value. There was a significant relationship between Social Media Marketing and Visiting Interests. There was a significant relationship between Perceived Value and Visiting Interests.

This study aims to determine the effect of e-service quality on customer e-satisfaction, the effect of e-trust on customer e-satisfaction, the effect of e-service quality on customer e-loyalty, the effect of e-trust on customer e-loyalty and finally, the effect of e-satisfaction on online shop customer e-loyalty. The type of research used in this research is correlational research with a quantitative approach and testing the research hypothesis was carried out by using the Structural Equation Model (SEM) approach based on Partial Least Square (PLS). The sample or respondent used in this study is 432 consumers of online shops in Banten, Indonesia. The results show that E-Service Quality had positive but not significant effect on E-Satisfaction, E-Trust had a positive but not significant effect to E-Satisfaction, E-Service Quality had a positive but not significant effect towards E-Loyalty, E-Trust had a negative but not significant effect to E-Satisfaction and finally E-Satisfaction had a positive but not significant effect on E-Loyalty.