Peru is a country with a complex geography. Moreover, it lacks minimal safe roads, higher in Andean and jungle territories. Depending on the classification they might receive, the num-ber of kilometers without pavement can reach up to 80%. Such a rate is alarming, consider-ing that internationally the United Nations promotes actions for road security since road ac-cidents are among the most common causes of death causes in the world. Then, employing data from Sutran, the current research has analyzed how the severity of accidents can affect road administration in Peru roads in 2021. Hence, the multinomial logistic regression was employed due to the nature of the data. It was found that regional routes had a higher risk than national roads when estimating the probability of having many dead and injured people because of a road accident.

The development of wearable technology opens the potential for its use in various sectors, one of which is the use of smartwatches in the sports sector. This paper examines soccer players' behavior's impact on using smartwatches as a training monitoring tool. This study uses a quantitative approach involving as many as 128 soccer players to complete a research questionnaire with face to face (offline). SEM-PLS is used as an analytical method to test the proposed inferential model. As a result, research shows that social influences, relative advantages, and enjoyment impact the use of smartwatches during training and daily use by soccer players.

The rapid increase in social media users in Indonesia has caused organic black rice (OBR) to be traded online via social commerce (s-commerce). OBR is an environmentally friendly functional food that meets the requirements for sustainable agricultural products. Unfortunately, in Indonesia the demand is still low, so some producers are reluctant to continue the OBR business. Therefore, it is important to study consumer satisfaction. Previous studies have primarily focused on satisfaction with choices and results of the decision process, not satisfaction with the decision process. Satisfaction in the perspective of the decision process has not been widely studied. This paper aims to identify the dominant factors that influence satisfaction with the online OBR purchase decision process via s-commerce. The research design is quantitative with a survey technique of 200 online consumers drawn by stratified random and convenience sampling. Data analysis using Exploratory Factor Analysis and Path Analysis. The results showed that the dominant factors were security in purchasing decisions, Instagram and other social media, friends, satisfaction with the results, Internet, references of friends and family as well as consideration of product taste and aroma, attractiveness, and disease treatment. These eight dominant factors can be used as important considerations in online OBR business through s-commerce.

Blockchain technology adoption among the businesses has become a new updated technological improvement and calls all businesses to care with it. This research aims to address its effect with project management information systems with a possible moderation effect of the value creation gained of this factor. The study used a quantitative research method to meet its objective and collected the data from Jordanian e-commerce enterprises with a total of 320 participants. PLS-SEM technique was used to perform the key analyses. The results found a significant effect of all hypothesized research assumptions and a significant moderating effect of value creation on the respective effect of study’s variables. The findings also expanded the current understanding and application of this technology and showed some implications and applicable insights that supported the existing literature and evidence in this field. The study would contribute to cover the limited research works and knowledge gaps with a suggestion to integrate this technology and application within different contextual settings.

Phishing websites are characterized by distinguished visual, address, domain, and embedded features, which identify and defend such threats. Yet, phishing website detection is challenged by overlapping these features with legitimate websites’ features. As the inter-class variance between legitimate and phishing websites becomes low, commonly utilized machine learning algorithms suffer from low performance in overlapping feature cases. Alternatively, ensemble learning that combines multiple predictions intending to address low inter-class variations in the classified data improves the performance in such cases. Ensemble learning utilizes multiple classifiers of similar or different types with multiple deviations of the training data. This paper develops a framework based on random forest ensemble techniques. The limitations of the random forest are the inability to capture the high correlation between features and their join dependency on the label. The random forest is combined with k-means clustering to capture the feature correlation. The framework is evaluated for phishing detection with a dataset of 5000 samples. The results showed the proposed framework over-performed the random forest classifier, all other ensemble classifiers, and the conventional classification algorithms. The proposed framework achieved an accuracy of 98.64%, precision of 0.986, recall of 0.987, and F-measure of 0.986.

Digital governance, institutional development and public higher education in Huancayo-Perú in the new situation where remote activities are prioritized, the use of information technologies has increased in the different activities of organizations, allowing them to provide adequate services in an efficient way. The research seeks to establish the relationship between digital governance and institutional development in public higher education in Huancayo - Perú. Basic research with a quantitative approach and correlational level with a sample of 828 people made up of teaching staff, administrative staff and students who interact with the administrative activities of the UNCP. The data analysis and modeling was performed through structural equations based on PLS. As a result of the research, a value of 0.815 was obtained in Spearman's Rho and a significance level of .000, which indicates a high positive relationship, also the general hypothesis that establishes that there is a significant relationship between digital governance and institutional development is accepted.

This study begins with a literature review to observe current problems surrounding vehicle service centers and the use of the ARIMA method to resolve similar cases. Researchers then conduct the observation process by collecting user needs through surveys and questionnaires. Next, researchers use the Scrum methodology to develop a web-based application enriched with the ARIMA method. Afterward, researchers obtain user feedback using surveys and questionnaires to evaluate the user experience towards the application. Conclusively, based on the results of the questionnaires, the average respondent believes that the web-based application can simplify respondents in making vehicle service reservations with a score of 8.85 out of 10. In addition, the average respondent believes that the web-based application can assist respondents in planning vehicle service. They visit with shorter queue times through a crowded time prediction system on a web-based reservation application with the ARIMA model with a value of 8.9 out of 10.

The purpose of this study was to analyze the effect of job satisfaction, motivation, Digital Transformational Leadership, work on jobs and teachers' performance of vocational schools. The study uses quantitative methods to test and prove the hypotheses made through various analyses and data processing. The research hypothesis testing was carried out by using the Structural Equation Model (SEM) approach based on Partial Least Square (PLS). The population used in this study is vocational schools’ teachers in Pati Central Java, Indonesia. The number of respondents in this study is 110 respondents of vocational teachers who have worked at least 1 years in their schools and data obtained from the distribution of online questionnaires with snowball sampling method. Based on the results of hypothesis testing data processing using SmartPLS software, the results obtained that job satisfaction had a positive and significant effect on teachers' performance of vocational schools, motivation had a positive and significant effect on job satisfaction of vocational schools, motivation had a positive and significant effect on teachers' performance of vocational schools. Digital Transformational Leadership also had a positive and significant effect on job satisfaction of vocational schools. Digital Transformational Leadership had a positive and significant effect on teachers' performance of vocational schools, work environment had a positive and not significant effect on job satisfaction of vocational schools, work environment had a positive and significant effect on teachers' performance of vocational schools. The novelty of this research is the relationship model of the role of digital transformational leadership, work environment, motivation on job satisfaction and teachers’ performance of vocational schools.

The online markets have been growing during the last near years, and many businesses have generated customer satisfaction and loyalty by developing their marketing activities. The main aim of this study is to review the related body of the literature to develop a thorough conceptual research framework including e-marketing in order to determine the respective antecedent factors of customer satisfaction and loyalty. Another study aim is examining the mediating role of the perceived value on the interrelationships between e-marketing, customer satisfaction and loyalty. Through a questionnaire survey, the study collected the data from various online shoppers in Jordan with about 482 participants. The study results indicated that e-marketing had a significant effect on customer satisfaction but did not generate customer loyalty, and the customer satisfaction had a significant effect on customer loyalty. Another key result is the perceived value mediated the relations between e-marketing and both customer satisfaction and customer loyalty. The study's respective implications offer new insights in marketing literature and conclude that the successful marketing activities should focus on the perceived value that is felt by the customers.

Previous studies have argued that increasing knowledge capacity in big data analytics influences increasing the speed of information processing and network analysis for making the right decisions at scale and high volume. Big data intensification supported by knowledge capacity through digital learning and a strategically supportive environment can ultimately help companies improve company performance. This study seeks to analyze the effect of big data analytics, digital learning orientation and environmental strategy on readiness for change and innovative behavior. The sampling technique employed by using simple random sampling on 185 respondents of information technology companies. By using the Structural Equation Modeling (SEM) analysis technique with the Partial Least Square approach, the empirical results show that big data analytics, digital learning orientation and environmental strategy had a significant effect on readiness for change and positively influence innovative work behavior. The analysis of mediation through the variable of readiness to change also found the role of mediation in strengthening the influence of exogenous variables on innovative work behavior. These results theoretically reveal the important role of data-driven performance management as an instrumental consequence. Practically speaking, the findings highlight the importance of employee engagement and talent acquisition professionals as a driving force in the intensification of big data analytics.