Catálogo de publicaciones - revistas

<jats:p>Road accidents are an essential issue for every country in the world because their consequences are devastating for the people involved in all senses. Speeding has been considered one of the main reasons for these tragedies. Therefore, the current research analyzed the relationship between speeding and severe accidents on the Pan-American highway in Peru. Publicly available data kept in a Peruvian official agency was employed. Methodologically, the logit regression was harnessed since the data were categorical. After the analysis, the research found that it was riskier to have severe accidents than speeding in urban areas crossing the highway and driving or being inside a truck.</jats:p>

<jats:p>The aim of the study is to explore the impact of Social Media Marketing on Brand Loyalty. It focused on customers of small and medium enterprises (SMEs) specializing in the fashion products retail in Saudi Arabia. An online instrument was created through Google Forms and published on social media of SMEs that trade in fashion. In total, (1692) responses were received. Structural equation modeling (SEM) was used to test hypotheses. The results of the research showed that all dimensions of social media marketing had a positive impact on brand loyalty. The highest impact was for social media word of mouth. The study recommends the issuance of more legal legislation to protect user privacy and prevent its penetration, in addition to enacting laws that punish bad use of networks, which increases customers' trust in these sites and motivates them to carry out many marketing campaigns.</jats:p>

<jats:p>Current study aimed at examining the influence of cloud computing characteristics and attributes (on-demand self-service, broad network access, resource pooling, rapid elasticity, and measured service) on decision making process within commercial banks in Jordan. Quantitative approach was used, and a questionnaire was distributed on a sample of (104) managers within commercial banks in Jordan. SPSS was employed to process and analyze primary data, depending on multiple and linear regression; results of study accepted the main hypothesis, and it appeared that cloud computing attributes support organizational efforts for better decision making process. Study recommended examining the role of cloud computing in the field of accounting, in other meanings; investigate the role of cloud accounting in supporting financial decision making process.</jats:p>

<jats:p>The research analysis of the study was to determine the influence of Social Media Marketing, Service Quality, and eWOM on Purchase Intention (Black Sweet Coffee Shop) through Brand as mediation. The type of research is quantitative with a case study research design. The implementation of research was carried out in Indonesia, especially in the city of Balikpapan. The subject of the study was a sweet Black Café Consumer who had used sweet Black Products with a sample count of 518 using THE SPSS-SEM Amos 22. The results of this discovery show that there was a direct influence of social media marketing, SerQual, and eWOM on Purchase Intention. The theoretical implication of this study is to find additional knowledge about marketing strategies in the field of SMEs. and integrate marketing and technology capabilities to optimize social media marketing against the purchase intentions of SMEs consumers, especially coffee shop franchises.</jats:p>

<jats:p>E-learning results from the integration of technology and education and has become an effective learning medium today. E-learning courses and systems with various services are on the rise owing to its importance. E-learning systems should be evaluated to assure successful delivery, effective usage, and positive impacts on learners. A holistic model that identifies various levels of success on a vast range of success determinants was proposed. The model was empirically validated using data obtained from 724 e-learning student users in Jordan. Structural Equation Modelling (SEM) was used in data analyses. Results showed that perceived usefulness of information systems, user training, system quality, and management support have positive effects on user’s behavioral intention; whereas perceived ease of use has not. Also, SEM displayed that user behavioral intention has a positive effect on information systems use, use on student satisfaction, and the latter on student loyalty. Machine Learning (ML) methods produce high correlation values reaching up to 80% in predicting Behavior Intention (BI) from the input factors, and student loyalty from student satisfaction factors. This indicates that the ML are promising techniques to forecast the future targets based on the input independent features.</jats:p>

<jats:p>The Internet of Things (IoT) is an innovative technology that has the potential to help public hospitals better meet the demands of hospitalization. However, only a small portion of the research looked at patients' behavioural intentions (BI) to utilise IoT healthcare devices (IoTHD). This study intends to investigate the variables that influence the BI's use of IoTHD. The research suggests that the BI may be explained by factors of UTATU. The patients of public hospitals make up the population. A questionnaire was used to obtain the data using convenience sampling. Participants in this research totalled 161. Smart Partial Least Square results demonstrated that social influence (SI) has an impact on performance expectancy (PE). Technological complexity (TC) and playfulness (PP) had an impact on effort expectancy (EE). Additionally, the BI to adopt IoTHD was impacted by PE, EE, perceived security (PS), and perceived privacy (PV). The impact of PE and EE on BI to use IoTHD was not moderated by the facilitating conditions (FC). In order to improve patients' perceptions of IoTHD usage in public health organisations, simple process and more positive word of mouth is required.</jats:p>

<jats:p>This study aims to examine and analyze the influence of social media and Word of mouth on Buying Interest through Brand Image in Creative Economy Business in city of Medan, Indonesia. The population in this study is consumers who visit and buy products at the Creative Economy Business in the city. The number of samples used in this study were 384 respondents with the Cochran formula. The analysis technique used is the Partial Least Squares method, namely, to test the measurement model and structural model. The results show that social media has no significant effect on Buying Interest, Word Of Mouth has a significant effect on Buying Interest, Social Media has no significant effect on Brand Image, Word Of Mouth has a significant effect on Brand Image and Brand Image has a significant effect on Buying Interest. Social Media has no significant effect on Buying Interest through Brand Image as an intervening variable, Word of Mouth has a significant effect on Buying Interest through Brand Image as an intervening variable on Creative Economy Business in Medan City.</jats:p>

<jats:p>Web 2.0 has changed the way consumers access information. This study aims to investigate the relationship between social media (Watsons’ Facebook page) content and consumers repurchase intention. In addition, it determined whether E-WOM and interactivity can act as the mediating variables between the social media content and repurchase decision. The data were collected through online and offline questionnaires. A total of 146 valid questionnaires were obtained and analyzed using Partial Least Square Structural Equation Modeling (PLS-SEM) through the SMART-PLS 3.3.9 software. The findings support the direct effect of social media content on E-WOM, interactivity, and repurchase intention. Moreover, the results confirmed the mediating role of interactivity between social media content and repurchase intention, however, E-WOM does not mediate between social media content and repurchase intention. The present study suggests some managerial implications for beauty brand retailers and provides fundamental strategies related to their social media.</jats:p>

<jats:p>Word-of-mouth (WOM) has been recognized as one of the most influential forms of information transmission. Advances in information technology and the emergence of online social networking sites have changed the manner in which data is delivered. This phenomenon has an impact on consumers because readily accessible information can significantly influence consumption-related decisions. The purpose of this paper is to examine the role of e-WOM in mediating the influence of the marketing mix and destination image on the intention of tourists to re-visit destinations. The primary data was derived from 190 tourist respondents and collected by means of questionnaires distributed via Google forms. The resulting data was analyzed using AMOS-SEM, while evaluating the role of e-WOM as a model involving a Sobel test. The results of the analysis indicated that e-WOM plays a highly significant role in piquing individual's' interest in re-visiting tourist sites. Contributory factors such as the marketing mix, destination image, and e-WOM all support this research hypothesis.</jats:p>

<jats:p>In recent years, technology adoption in Indonesia has begun to use advances in artificial intelligence (AI) to improve services. This change has had a significant impact on several institutions. This article provides an overview of the many institutions in Indonesia that are leveraging AI. A comprehensive review of 35 papers from the Scopus database was used to develop our methodology. Education, health care, ICT, licensing, transportation, and economic services are all well-represented in the existing literature, which puts AI into practice in various disciplines. We provide a framework for organizing governance research that identifies gaps in the existing literature and suggests future directions for research utilizing technology.</jats:p>