The technological revolution has brought many benefits as well as challenges to the economy, including Vietnam. The benefits of the technological revolution are associated with the application of technology platforms to life, the development of e-commerce has made it possible for customers to make online shopping and helps consumers and the platform to shop online economy has the ability to reduce procurement costs. However, the challenges of the technological revolution can make it difficult for a group of people who are not yet tech-savvy to update and grasp the benefits that technology brings. Studying the factors affecting the online shopping decision of consumers in Vietnam, through a survey of 200 consumers and using regression analysis using SPSS software, the research results show that: When consumers perceive the usefulness of online shopping, they will make purchasing decisions to satisfy their personal needs. Moreover, product quality is the most important factor affecting consumers' online shopping decisions. Research also confirms the usefulness of reference groups when they can advise consumers to make online shopping decisions.

This research examines how social media marketing affects brand image, brand trust, and purchase intention in the context of beauty centers in Jordan. The study presents a model that outlines the influence of social media marketing strategies on customer behavior. To support the proposed model, a quantitative method was employed to collect data through online surveys. The sample consisted of 374 respondents selected through non-probability convenience sampling techniques. The data was analyzed using PLS-SEM methodologies by Smart PLS, which is appropriate for exploratory research. The findings indicate that social media marketing has a noteworthy effect on brand image and brand trust. In addition, the study found that brand trust and brand image have a substantial influence on purchase intention. The relationship between brand image and brand trust accounts for 70% of the variance in purchase intention. Furthermore, social media marketing explains 45% of the variance in brand image, while it explains 55% of the variance in brand trust.

Gamification is a popular trend that is applied in many fields such as marketing, advertising, education, administration, and communication. In the field of electronic banking (e-banking), gamification uses the available content of businesses, exploits in many different aspects and aims at the ultimate goal of increasing sales, achieving effective marketing. The objective of this paper is to study the factors affecting the adoption of gamification in the field of e-banking. Based on the Technology Acceptance Model (TAM), through a survey of 193 managers, bankers and customers, gamification application has had a positive impact on the acceptance of this new trend in e-banking. The research results show that: ease of use, usefulness, enjoyment, and convenience have an effect on acceptance of gamification. It also shows that clients can manage their investments and buy more mutual funds, thus increasing their chances of winning the game.

This study investigated the impact of social media marketing on Garuda Indonesia's airline customers' brand equity (awareness, image, and loyalty) and online word-of-mouth during the epidemic (E-WOM). In part of the study, 100 frequent Instagram users and passengers on Garuda Indonesia aircraft were questioned or given questionnaires. The data was processed and analyzed by SEM-PLS and the SmartPLS 3.0 software. The findings of the study indicate that social media marketing increases brand recognition, brand image, and brand loyalty. Brand loyalty or reputation has one significant impact on e-WOM as well. While brand recognition has nothing to do with E-WOM. Furthermore, the results of this research definitely point to the importance of the impact on E-WOM while brand recognition has no impact on E-WOM. The study's conclusions also highlight the importance of mediating variables including brand awareness, brand image, and brand loyalty. This study can prove that almost all moderating effect variables are involved in mediating social media marketing on Garuda Indonesia's e-WOM airline, except the brand awareness variable, which has no indirect effect or has no impact on the relationship between social media marketing and E-WOM. The results of this study should be relevant to a social media strategy, particularly for Garuda Indonesia Airlines.

Cocoa is a plantation commodity whose role is essential for the economy, so it is necessary to be aware of its health to maximize production. Cocoa plant disease data is a time series data because it is observed continuously. One of the time series forecasting models is the Fuzzy Time Series Markov Chain (FTS-MC), a combination of the Fuzzy Time Series (FTS) and Markov Chain models. The model uses the principle of fuzzy logic by transferring FTS data to fuzzy logic and using the obtained fuzzy logic groups to derive the Markov chain transition matrix. In this research, a Python script of the FTS-MC model was built in the Google Colaboratory to forecast the number of cocoa plant diseases in Bendungan District to simplify and speed up the data processing. Python was used in this research because of its easy-to-use, flexible, and open-source syntax. In building Python scripts, libraries and functions are needed by utilizing loop processes and if-else statements. Based on the processing results, forecasting with the FTS-MC model using Python only takes less than 1 minute.

Climate change is caused by temperature, rainfall, and wind variation in locations that last a long time. This change can be described and predicted using a spatial model, one of which is the Clustering Spatial Autoregressive (SAR) Kriging model. Therefore, this research aims to conduct a bibliometric analysis in a spatial and Clustering SAR Kriging model on climate change. It presents a Systematic Literature Review (SLR) with the development of the Clustering SAR Kriging model, incorporating articles from the Google Scholar, ScienceDirect, Dimensions AI, and Scopus databases from 2011-2021. Furthermore, two stages of analysis have been conducted, first, bibliometric analysis was performed for mapping and thematic evolution using VOSviewer software and R-biblioshiny. This analysis generated 185 papers after conducting a duplication check and developed a network of research on evolutionary subject matters at this stage. Second, research subjects were analyzed using the Clustering SAR Kriging model. More screening criteria were followed, and 18 articles were obtained for the SLR analysis. Furthermore, the development of the Clustering SAR Kriging model was observed for the prediction and description of climate change. The results are predicted to benefit applicable businesses to predict climate phenomena in unobserved places.

The study aimed to identify the medical invention marketing strategies on buying (Surgical Medical Robot), the study used the descriptive approach to suit the purpose of the study. Sample of the study consisted of (100) participants divided (50) of marketing managers for the medical instrument companies and (50) medical employers related to working in surgery in the Jordanian hospitals. The study showed that the level of medical invention marketing strategies (Marketing Network, Design and Execution, Understanding Customer and the Promotion) and Buying Surgical Medical Robots in the Jordanian Hospitals were in the medium level. The study showed that the medical invention marketing strategies (Marketing Network, Design and Execution, Understanding Customer and the Promotion) have an impact on buying (Surgical Medical Robot) Jordanian hospitals. The study set of many recommendations as Work to raise awareness regarding medical robot surgery and Work by medical equipment companies to obtain the largest amount of information about the medical surgical robot, to increase the level of confidence of patients in this robot.

The aim of this study was to investigate and identify the influence of performance expectation, effort expectation, and perceived usefulness on the usage of electronic banking services by Jordanian bank customers. The study used a quantitative method, with questionnaires administered to Jordanian bank clients. The statistics support the association between performance expectation, effort expectation, perceived utility, and the usage of electronic banking services. This implies that these characteristics have a major influence on Jordanian bank customers' electronic banking services. The association between performance expectation and use of electronic banking services is the strongest, followed by effort expectation and use of electronic banking services, and the poorest between perceived usefulness and use of electronic banking services. Even the most tenuous association (perceived usefulness and use of electronic banking services) is statistically significant. These findings also imply that banks seeking to boost the usage of electronic banking services should concentrate on improving consumers' perceptions of performance and effort expectations, as well as perceived usefulness.

The metaverse is an imaginary network of parallel universes. Using this technology might liven up dull lecture halls. By expanding synchronous communication into the "metaverse," many individuals may have meaningful conversations and exchange perspectives. This research focuses on finding out how medical students in the UAE feel about the metaverse system. The conceptual model incorporates elements from the Technology Acceptance Model (TAM), including perceived value and perceived ubiquity as adoption determinants. To test the validity of the suggested framework, a survey was developed and distributed to 369 full-time students at one of the universities in the United Arab Emirates (UAE). Machine learning (ML) and structural equation modeling using partial least squares (PLS-SEM) are used for data analysis. According to the results, the extent to which users saw value in and adoption of the metaverse system was a significant factor in whether or not they intended to participate. This study was helpful since it elucidated the relative significance of various healthcare components, allowing professionals to prioritize their efforts better.

This study aims to examine the influence of brand image as a mediator between social media marketing activity and tourist intentions to visit tourist sites in Jordan. To test the hypotheses, we utilized the partial least square method and distributed a questionnaire survey to 400 visitors, receiving 289 responses for analysis using SMART-PLS4 software. The study made significant contributions to the literature on social media marketing by developing a research model that links social media usage to brand image and shopping intention, and by using statistical techniques to quantitatively assess the effect of social media marketing activity on the brand image as a mediator. The findings exposed that word of mouth, a construct of social media, significantly positively influenced tourists' purchase intention to visit sites in Jordan. This study sheds light on the importance of social media marketing and its impact on the tourism industry in Jordan, providing useful insights for practitioners and policymakers in the field.