Abstract: The primary objective of this article is to present the findings of an experimental study on the use of a human-like “naturalistic” avatar (of both genders) for information presentations. The primary goal is to investigate how users' frame of mind, purchasing behavior, and satisfaction are affected by being presented with information by a naturalistic avatar that lacks expressive capabilities. Two different types of information presentations were developed and empirically tested on 48 participants, namely: (i) two dimensional static graphical and textual information presentation and (ii) non-expressive naturalistic avatar. For this comparative research study, a simplified version of the user experience model that was used in our earlier research (the EUX-DM) was selected to serve as the measurement model. Participants' perceived values of the measured qualities were found to be independent of both their own and the naturalistic avatar's gender, and the non-expressive avatar had a positive effect and a stronger encouragement on participants' intention to purchase, usage attitude, and satisfaction than other types of information presentations.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The current study aims at examining the differences between umbrella branding and house of brands on organizational market share. Various variables are adopted including reach, efficiency, image and ambiguity. A sample of 98 marketing managers or their representatives within the chemical industry sector in Jordan, SPSS is employed to screen and analyze gathered data. Results of study indicate that umbrella branding has a bigger and much deeper influence on market share compared to house of brands which is attributed to many factors including that umbrella branding has a wider reach, it is more efficient and more able to shed the light and increase the focus on organization's image, meaning that in umbrella marketing the focus is more on the marketing organization more than manufacturing organization which increases its reputation and market share. The study recommends the necessity for each brand to have a specific purpose to avoid overlapping or disintegration of brands.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The study examines the technological factors influencing the adoption of artificial intelligence (AI) technology. In addition, this study examines the mediating role of accounting automation on AI adoption in a small and medium-sized enterprise (SMEs) context. The owners and managers of SMEs were surveyed online using a convenience sampling technique. The proposed model was tested using SEM. The findings confirmed the relationships between the predictive variables and AI adoption. The results showed that accounting automation partially mediated the relationship between predictive variables and the adoption of AI. The results contribute to the TOE model by incorporating accounting automation into the TOE framework as a mediating variable. The study also contributed to the literature by including new variables in the model, such as saving time and efficiency-improving.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: This study sought to investigate the impacts of big data, artificial intelligence (AI), and business intelligence (BI) on Firms' e-learning and business performance at Jordanian telecommunications industry. After the samples were checked, a total of 269 were collected. All of the information gathered throughout the investigation was analyzed using the PLS software. The results show a network of interconnections can improve both e-learning and corporate effectiveness. This research concluded that the integration of big data, AI, and BI has a positive impact on e-learning infrastructure development and organizational efficiency. The findings indicate that big data has a positive and direct impact on business performance, including Big Data External and Internal, Innovative Usage, Indexing, and Sources Accuracy. In addition, Artificial intelligence positively affects business performance, including Data Accuracy, Data Transparency, Data Speed, and Creative Thinking and Learning. Moreover, business intelligence has a direct and positive impact on business performance, including Data Warehouse, Data Mining, Business Process Management, and Competitive Intelligence. In addition, the findings indicate that e-learning which represents system quality, information quality, and self-efficacy has a positive relationship on enhancing business performance. Interestingly, the present findings are inconsistent with those of previous studies showing the variables of interest which have no effect on e-learning and business performance. Taken together, the findings of this study suggest that firms should begin to apply processes related with applying e-learning and developing business performance. The novelty of the present study lies in highlighting the key dimensions of big data, artificial intelligence, and business intelligence when it comes to enhancing e-learning and business performance at Jordanian telecommunications industry.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: This research was conducted with the primary aim to investigate digital governance by examining empirical evidence regarding the application of Technology Acceptance Model (TAM) in public administration. The antecedents of TAM were explored to estimate behavioral intention and actual use in electronic public service in public administration in Indonesia. The research was conducted in Semarang, Central Java, Indonesia by employing simple random sampling techniques to collect a total of 182 respondents. By using Structural Equation Modeling–Partial Least Square (PLS-SEM), the results showed significant effects on perceived usefulness and attitude toward use. The variable of perceived usefulness was also empirically proven to have a significant effect on attitude toward use and behavioral intention. The findings found that attitude toward use had a significant effect on behavioral intention, and then behavioral intention was empirically proven to have an effect on actual use. Mediating analysis from the variables of perceived usefulness, attitude toward use and behavioral intention also found the mediating roles. Theoretically, these findings contribute to the digital governance framework by providing empirical evidence strengthening the relevance and affirming the application of the Technology Acceptance Model (TAM) in the context of public administration. Practically, these findings have managerial implications that the application of TAM in the public administration sector is relevant to be explored with a professional management model and a user-based approach in the development of digital applications and websites.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The purpose of this study is to analyze the effects of the application of e-government, e-billing and e-SPT on taxpayer compliance. This type of research is quantitative research. The variables in this study consist of one dependent variable and three independent variables. The dependent variable is taxpayer compliance, while the independent variables are application of e-government, application of e-billing, and application of e-filing (e-SPT). The population in this study is Indonesian taxpayer. The sample in this research was 430 respondents who filled out the Likert Scale questionnaire. The sampling technique in this study was incidental sampling, with research instruments using online questionnaires distributed via social media. The data analysis technique in this study used a structural equation model (SEM) with SmartPLS 3.0 software. The results of this study indicate that the application of e-government had a positive and significant effect on taxpayer compliance, the application of e-billing had a positive and significant effect on taxpayer compliance, and the application of e-SPT had a positive and significant effect on taxpayer compliance.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: Online tutoring is a new phenomenon in Indonesia that is quite popular at the moment, especially after the pandemic. The emergence of online tutoring for schoolchildren provides families with an alternative option for educating their children; additionally, online learning becomes an effective alternative because it does not pose a health risk during a pandemic. Online tutoring marketing optimizes marketing strategies through digital content using celebrity endorsements. The purpose of this study was to examine the effects of a comprehensive new model of using celebrity endorsement based on its dimensions and its effect on brand satisfaction, advertising credibility, brand credibility, and repurchase intention. The data collection technique in this study was quantitative and involved distributing questionnaires to 175 respondents in the city of Jakarta. This study uses a structural equation model (SEM) with the SmartPLS tool. The results obtained are able to identify and measure the impact of celebrity endorsement in digital marketing strategies that have an impact on repurchase intention. The results of the study explain that all pathways proved to have a positive effect, unless expertise on repurchase intention has a negative effect. There are 6 hypotheses accepted and 8 hypotheses rejected. The biggest influence on repurchase intention is advertising credibility. In terms of the total indirect effect, only attractiveness and trustworthiness have a significant total effect on repurchase intention, while expertise does not have a significant total effect. The implications of this research can be used as a basis for determining a comprehensive strategy for online tutoring companies to retain their customers after the pandemic.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: Small and Medium Enterprises (SMEs) have a central role in the Indonesian economy. SMEs are a driver of the Indonesian economy and non-oil exports and have a significant role in absorbing labor. The SME sector in Indonesia generally has several obstacles, one of which is marketing constraints. The ability to build and communicate brands to customers tends to be low, so it has not been able to bind customers and affect the marketing performance of SMEs. This ability during the pandemic has worsened, as can be seen from the deteriorating marketing performance of SMEs. This study attempts to fill the research gap between digital marketing and marketing performance. This study offers the concept of Brand Articulating Capability to bridge the gap between Digital Marketing in increasing Marketing Performance. Three hypotheses were developed and tested in a sample frame of 230 SMEs in South Sulawesi, Indonesia. The analysis was carried out using Structural Equation Modelling to test the research. The study's findings support the model using the following variables: Digital Marketing has a significant effect on Marketing Performance, Digital Marketing has a significant impact on Brand Articulating Capability, and the Brand Articulating Capability variable has a mediating and strategic role in improving marketing performance.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: It is argued that excessive social media use can lead to an addiction. This study compares two proposed research models. The first model examines how social media addiction, narcissism, and self-esteem affect tourism addiction. Whilst the second model studies the impact of narcissism and self-esteem on social media and tourist addiction. There were also two research models proposed here. Data collection was obtained in Jakarta, with 214 participants chosen by using the convenient sampling method. Exploratory factor analysis and structural equation models were used to process the data. Social media addiction and narcissism affect self-esteem, while social media addiction and tourist addiction affect self-esteem. This research combines the study of addiction, modern media, and cyber marketing.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The purpose of this study is to determine the impact of cloud-based solutions on the digital transformation of human resource (HR) practices in Jordan. The study is quantitative in nature and the data was gathered from primary sources by gathering the responses from 346 respondents. The SEM technique was used for the purpose of determining the direct effect. The study found that infrastructure as a service, performance as a service and software as a service had significant and positive impact on the digital transformation of the HR practices. The information gathered from the secondary sources was provided with reference and was also well paraphrased to avoid the issue of similarity. The study focused on the public sector which restricts the results of this study to this sector only. On the other hand, only one country was considered in this study i.e., Jordan. The research is considered as the first attempt to examine the impact of cloud-based solutions on the digital transformation of HR practices in a developing country such as Jordan.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: 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.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: Of all the current challenges faced by Jordan, the most severe is the inadequacy of the water supply. The country is almost entirely reliant on rainfall, whose pattern, however, is highly variable in terms of its frequency, regularity, and quantity. Evidently, therefore, the ability to anticipate rainfall accurately is critically important for the effective planning and management of water resources in Jordan, and particularly in agricultural areas. Influenced by a range of factors such as temperature, relative humidity, and wind speed, rainfall is a stochastic process. This paper suggests the use of a fuzzy model that draws upon data gathered at 26 stations situated in a range of locations throughout Jordan. The model is capable of forecasting seasonal rainfall relating to a specific station. Its ability to deliver predictions with an acceptable degree of accuracy has been demonstrated, and it can be concluded from this that the fuzzy technique can provide a model that is capable of efficiently forecasting seasonal rainfall.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: 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.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: This research was conducted to determine knowledge acquisition by employing digital technology for public sector employees. This study adopts system quality, information quality, user satisfaction, service quality, and net benefit as the empirical considerations. The data analysis technique in this study used SEM (Structural Equation Modeling). Respondents in this study were 198 people consisting of public sector employees who used a learning management system. The results showed that service quality has a significant effect on user satisfaction. User satisfaction has a significant effect on net benefits. Meanwhile, system quality had no significant effect on user satisfaction, information quality had a significant effect on user satisfaction. The findings would imply the strategies to strengthen the implementation of e- learning is to increase user satisfaction. The finding managerially points out the necessity to evaluate the transformation of classical training programs in terms of face-to-face learning to blended learning by integrating online learning and face-to-face in the public sector knowledge acquisition model of training. The findings present an evaluation using empirical examination and highlights the importance of continuity to arrange action plans in public sector to synchronize knowledge acquisition model through training to obtain behavioral change and wider organizational impact of the training on public sector institutions.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The present study examined the impact of social media influencers (SMIs) on consumers’ purchasing decisions, by examining the factors affecting purchase intentions of consumers. Online questionnaire was used to gather data from Facebook users as the study respondents. SMIs are currently a promising marketing technique in influencing purchase intention of customers, but in Jordan, studies on this matter are still lacking. This study therefore presented several key factors associated with SMIs in influencing the purchase intention of customers, in Jordanian context. Accordingly, the key factors affecting customer purchase intention through SMIs were examined. A model was proposed and empirically tested and validated using structural equation model (SEM), with data obtained from 390 Jordanian Facebook users. From the results, significant impact of Information Quality (IQ) and Trustworthiness (TRU) on attitude toward a brand, and consequently on purchase intentions of customers, was affirmed.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: 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.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: 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.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: Currently, streaming applications have been widely used by users to get comfort and pleasure in life. Users communicate with each other on social media related to the activities carried out. Communication is formed online as electronic word of mouth (e-WOM) between one user to another. The data distributed was 1238 respondents using streaming applications and 324 respondents in Indonesia who had used e-wallet payments as members. The analysis data was to answer all research hypotheses using partial least squares. The data processing results show that e-WOM impacts the perceived ease of use of e-wallets by 0.408. E-WOM positively impacts the perceived usefulness of the e-wallet by 0.270. E-WOM has an impact on e-wallet payment intention of 0.190. Perceived ease of use has an effect of 0.175 and perceived usefulness of 0.259 on e-wallet payment intention. Perceived ease of use influences perceived usefulness of 0.395. Perceived ease of use and perceived usefulness impact customer satisfaction in terms of 0.157 and 0.217. Finally, it was found that e-wallet payment intention has an impact of 0.173 on customer satisfaction. The results of this study contribute to e-wallet payment users and managers building two-way and effective communication through social media so that they can quickly and accurately solve user problems. The theoretical contribution is to enrich the theory of marketing behavior and technology acceptance models in electronic commerce.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The unprecedented growth of social media imposed fierce competition on business companies. That is investors found new methods to expand their business activities, and, in turn, boost their revenues. While there has been a plethora of research done to examine the critical success factors of social commerce (s-commerce) in developed countries, there is a dearth of studies conducted in developing countries. Meanwhile, it has been evident that the significance of these factors may vary across cultures. Therefore, this study, following the social cognitive theory, aims to explore the critical success factors of s-commerce from the perspective of consumers in a developing country. To achieve that, this study utilized a questionnaire that sought information related to factors driving consumers' intention to purchase in s-commerce. Seven hundred and fifty-seven subjects completed the survey. Structural equation modeling techniques were utilized to analyze the data. The findings of this study show that trust in sellers, sociability, electronic Word-Of-Mouth (eWOM), perceived economic benefit, and informational fit-to-task positively influence the intention to purchase in s-commerce. In addition to that, it was found that sociability and eWOM positively influence consumers' trust in sellers. The findings of this study are expected to contribute to the theoretical and practical areas of s-commerce. They are expected to make a significant contribution to the literature on s-commerce adoption from the perspective of a developing country. From a practical point of view, the results of this study should help stakeholders in s-commerce in developing business strategies to better their competitive advantage, retain existing consumers and attract new ones, and, in turn, increase sales and profits.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: Web 2.0, focusing on user involvement and cooperation, is vital for online marketing. To succeed in such a cutthroat industry, every online business must place a premium on earning and retaining clients' trust and loyalty in the digital realm. The study's objective is to ascertain whether or not electronic consumer loyalty and online trust are enhanced by social media marketing. The results of the poll, which included 596 individuals, showed that social media marketing tools had a significant effect on consumers' faith in and commitment to businesses through digital channels. The results of this study will hopefully add to what has been applied to social media marketing for online businesses.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: In keeping abreast with the digitized and automated world today, governments of developing and developed nations must provide appropriate e-government services to assure confidence and effective and efficient usage among their citizens. The quality, security, and privacy of current e-government implementation have been impairing the trust and participation of users, in Jordan especially. Hence, this study examined the impacts of quality, security and privacy of e-government services on the intention to use e-government services among Jordanian citizens. Questionnaires were used to gather data, and questionnaire items covered the constructs of quality factors (information quality, system quality, and service quality), perceived security, and perceived privacy as independent variables, and the constructs of trust and intention to use as dependent variables. The study samples comprised academics in Jordanian public universities. The universities were selected using stratified sampling method, while the respondents were chosen using simple random sampling method - 212 respondents were selected. SPSS Version 18 and PLS Version 3.3.6 were used in data analyses and hypotheses testing. Results affirmed a positive and significant link between information quality, system quality, service quality, perceived security, perceived privacy and trust in e-government services, and a positive and significant link between trust in e-government services on intention to use. In e-government services implementation, Jordanian government should take into account the quality factors (information quality, system quality, and service quality), perceived privacy, and perceived security, to increase trust of the citizens and consequently their intention to use the e-government services.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: 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.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The purpose of this paper is to investigate the drivers of firms’ sociability on social media (SM), an unregulated area, in an emerging country, namely, Kingdom of Saudi Arabia (KSA). The sample of this study is 345 non-financial listed firms on Tadawul stock exchange during 2016-2019. Data are collected from several sources such as annual reports, the official website of the sample companies. Other data are collected manually such as the presence of the CEO and the sampled companies on SM. Our findings show that firm size and leverage level are important firms’ characteristics that drive firms’ sociability on social media. The finding shows that CEO sociability on social media is a key CEOs’ characteristic that drives firms’ sociability on social media. Further analysis reports that there is a complementary effect between CEO’s sociability on social media and firm size in increasing firms’ sociability on SM. The findings also show that there is a complementary effect between CEO’s sociability on social media and firm leverage in increasing firms’ sociability on SM. This study contributes to the disclosure literature by providing empirical evidence of the drivers of firms’ sociability on SM, an unregulated area in KSA. It also complements the considerable literature on voluntary disclosure which ignores the use of SM platforms as a “new” voluntary type of reporting. The present study complements recent literature on the adoption of SM by providing evidence that the sociability of top leaders is a driver of firms’ sociability on SM.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: 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.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: 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.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: 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.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: 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.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: This study aims at investigating the effect of digital HRM practices on employee motivation and hence employee job performance, or in other words, the mediating role of employee motivation between digital HRM practices and employee job performance. Two digital HRM practices were used in this study: digital training and digital performance appraisal. Collecting data using a valid and reliable questionnaire from employees at industrial companies, the results show that digital training had significant effects on both employee motivation and job performance, digital performance appraisal had significant effects on employee motivation and performance appraisal, and employee motivation exerted a significant effect on job performance. Consequently, it was approved that employee motivation partially mediated the effect of digital HRM practices on job performance. It was concluded that skilled employees who are aware of their performance level are motivated to show higher levels of job performance. Theoretically, the study called scholars to carry out further results to examine the effects of other HRM practices on job performance through employee motivation. Empirically, organizations are requested to conduct training sessions and assess employee performance using digital means.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: 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.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: 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.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: This research studies the effects of the religiosity on financial technology (fintech) adoption. The study examines religiosity as part of the Technology Acceptance Model (TAM) dimensions for the adoption of mobile payment technology. We explore the role of religiosity in TAM and recommend several policies for related organizations. The study uses professional sample calculation from 113 traditional markets under Perumda Pasar Jaya as a business entity whose capital is wholly or mostly owned by the regional government through regional assets of DKI Jakarta Province, Indonesia, which use mobile payment technology. We obtained 363 respondents from June 2020 to June 2021, coinciding with the Covid-19 pandemic. Hypothesis testing was done employing SmartPLS 3.2.9 software and questionnaires. The study also adapts previous studies to ensure the questionnaires are relevant to the research objects. The research result show that religiosity explained the formation of TAM by small businesses in traditional markets under Perumda Pasar Jaya Management. Religiosity and the adoption of mobile payment technology determined whether a user used fintech or not. As the research period was limited to June 2020 - June 2021, including field research in the traditional markets, newer TAM mobile payment technology development and other TAM mobile payment-based research were not included. This research offers a new TAM development model using religiosity for mobile payment adoption in traditional markets.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: Phishing is an attack by cybercriminals to obtain sensitive information such as account IDs, usernames, and passwords through the use of the anonymous structure of the Internet. Although software companies are launching new anti-phishing tools that use blacklists, heuristics, visual methods, and machine learning-based methods, these products cannot prevent all phishing attacks. This research offers an opportunity to increase accuracy in the detection of phishing sites. This study develops a model using machine learning algorithms, specifically the decision tree and the random forest, due to their outperforming the rest of the classifiers and being accredited by researchers in this field to achieve the highest accuracy. The study is based on two phases: the first phase is to measure the accuracy of classifiers on the dataset in the usual way before and after feature selection. The second phase uses the class decomposition approach and measures the accuracy of classifiers in the dataset before feature selection and after feature selection to detect phishing sites. The class decomposition approach is a technique to improve the performance of classifiers by distributing each class into clusters and renaming the examples of each cluster with a new class. This provides a specific metric that more accurately predicts the level of phishing. Testing on a dataset containing 11,055 instances, 4,898 phishing, and 6,157 legitimate, each instance has 30 features. It achieved the highest accuracy in the first phase through the random forest algorithm by 96.9% before feature selection, and after feature selection, it was by 97.1%. In the second phase, the highest accuracy of both the decision tree and random forest classifiers was achieved by 100% with the two and four classes after feature selection. While before feature selection, the random forest algorithm achieved 100% with only the two classes.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The rapid development of e-commerce in Indonesia makes the competition in this business increasingly fierce. This study aims to determine and analyze the effect of e-service quality, e-word of mouth (e-WOM), customer trust on customer satisfaction on e-commerce customers in Indonesia, then the study aims to determine and analyze the effect of e-service quality, e-word of mouth (e-WOM), customer trust and customer satisfaction on the repurchase intention of e-commerce customers in Indonesia. The study also aims to determine and analyze the mediating role of customer satisfaction on the relationship between e-service quality, e-word of mouth (e-WOM), and customer trust in repurchase intentions. The research is quantitative by distributing questionnaires to respondents; the sample collection method is purposive sampling. The number of samples used was 344 e-commerce consumers from Shopee, Tokopedia, Lazada, and Bukalapak throughout Indonesia. Data processing is applied by using the SmartPLS 3 Structural Equation Modelling (SEM) method. The results of this study indicate that there was a positive and significant effect of e-service quality on customer satisfaction, there was a positive and significant effect of e-WOM on customer satisfaction, customer trust had a positive and significant impact on customer satisfaction, e-service quality had no significant effect on purchase intention, e-WOM had a positive and significant effect on repurchase intention, customer trust had no significant effect on repurchase intention, e-service quality had a positive and significant effect on repurchase intention through customer satisfaction, e-WOM had a positive and significant effect on repurchase intention through customer satisfaction, customers trust had a positive and significant impact on repurchase intention through customer satisfaction.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: Can artificial intelligence networks promote extremism awareness through social intelligence and emotional intelligence? This research contributes to this question in the context of Saudi Arabia. This study defines a model of a cooperative process through an artificial intelligence network, based on knowledge exchange, to generate a high level of extremism awareness and social intelligence. Four main variables were adopted, developed, defined, and measured: artificial intelligence networks, social intelligence, emotional intelligence, and extremism awareness. We fixed attributes for contextualized interactions through a network platform, between professionals and non-professionals, against extremism. The application of artificial intelligence in such platforms lets members share reliable information to combat extremism more effectively. The findings demonstrate that network centrality, network scale, relationship strengths, relationship stability, and reciprocity developed through artificial intelligence networks stimulate extremism awareness by developing social awareness. Emotional intelligence also seems to be important. It moderates the link between platform users and extremism awareness. It facilitates situational and contextual awareness to define appropriate behavior.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: Reliable data transfer protocols are algorithmic techniques that guarantee the safe and secure transport of data through networks that could experience data loss or corruption. The performance of the systems and some accounting information systems (AIS) will be negatively impacted if the real-time data is not sent. The main factors that affect the performance of computer networks are the number of users, the hardware and software and the bandwidth. The computer network performance will play a role in the performance of the banks as it is an important component of the bank infrastructure. With the advancement of information technology, network technology, and computer technology, computers have been utilized to aid AIS operations, and AIS has become an unavoidable trend of development. Therefore, the purpose of this study was to investigate Data analysis in computer networks to improve AIS performance in Jordanian banks. A questionnaire was used to obtain the information. Jordanian banks account for the bulk of the participants in the survey. A total of 115 people took part in the study. According to the conclusions of this study, communication technology networks have a statistically significant impact on the growth of Jordanian banks' improved AIS performance.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: This study was designed to analyze the factors influencing the utilization of an E-Learning system in training repatriated workers in Vietnam's urban regions in the new context. According to research findings, professional qualifications and education have a significant influence on the income and employment of repatriated workers in urban regions. E-Learning systems are employed as an effective channel to transfer information and skills to workers in urban areas to fulfill the improvement of professional certifications and professional abilities of workers. The analysis results also show that several factors have a significant impact on the usage of the E-Learning online training system for employees in Vietnam's urban regions, including the factor representing the ease of use of the E-learning system, Easy access to E-Learning system scale has the highest influence score with coefficient 0.932, the factor Learners feel useful, the scale of saving time getting to the study location has an influence coefficient of 0.965, and the element reflecting the joy of learning, the scale of getting more highly rated experiences have the greatest influence with a coefficient of 0.942. Data for the study were obtained from 188 repatriated laborers in urban regions of Vietnam. The multivariate regression analysis method and factor analysis were utilized to analyze the data in the study with the help of SPSS 20.0 software.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: This research involves developing a model that investigates the impact of perceived values on continuance intention to use Facebook. It also examines the impact of Facebook continuance intention on addiction and the mediating role of security concerns on the relationship between them. A structural equation modeling technique was used to analyse data obtained based on a convenience sample from 296 Facebook users in Jordan. Results showed an acceptable fit of the model. The influence of perceived values on continuance intention was confirmed based on findings. However, no similar significant effect was found for trust. A significant effect of continuance intention on Facebook addiction was found but not for security concerns. The contrasting findings represent a challenge and a possible opportunity for future research and practitioners. The research discusses different theoretical and professional contributions and outlines the implications arising from the research model.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The primary goal of this research is to examine the influence of the Internet of Things on Pharmaceutical Inventory Management in Jordan. The employees of the pharmaceutical companies in Jordan represent the population of the study. Accordingly, the study instrument was distributed to an appropriate sample of 620 employees of pharmaceutical companies in Jordan; the questionnaires used in the analysis were 432. Structural equation modeling (SEM) was used to test the study hypotheses. The study results indicated that all dimensions of the Internet of Things had an influence on inventory management. The greatest influence was for cloud computing. Based to the study findings, pharmaceutical companies in Jordan should provide high-quality Internet coverage in their offices and stores, as well as to invest in Internet of things technologies that allow the company to remotely monitor and control the physical components of the stores, attract employees with knowledge of modern Internet technologies, and provide the necessary training and development for their employees.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: This study aims to evaluate the roles of Gender Equity and Social Inclusion (GESI) and institutions, as drivers of green entrepreneurship and sustainable development goals (SDGs). A systematic and holistic integrated approach was used in encouraging the developmental processes, with both primary and secondary data qualitatively and quantitatively utilized. Mixed methods were also used through two phases, namely exploratory and explanatory design. The results showed that the role of GESI and community institutions encouraged the improvement of green entrepreneurship, whose role was one of the win-win solutions in mitigating the impact of global climate change and encouraging the achievement of the SDGs. Based on the limitations, the awareness of every individual was globally required on the importance of entrepreneurial trends. These results are expected to increase the knowledge and understanding of green entrepreneurship importance, as an alternative to contemporary global business.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The primary objective of this paper is the data analysis of digital interactive art on Jordanian university students using information technology. The study also uses information technology because of the opportunities that technology provides for an interactive nature between the in-novative process, productivity, and high flexibility. The data is collected using a questionnaire, and the majority of the study population is made up of Jordanian university students. Accord-ing to the findings of this study, Digital Interactive Art has a substantial influence on Jordani-an University Students' Information Technology.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: A good Organizational Image is already known as the important factor in developing higher education organization. This research investigated the effect of marketing variables, namely Service Quality, Social Media and Public Relation, toward the Organizational Image. This research was conducted at private universities located in South Tangerang City, Indonesia. The sample of this research were 715 students taken in proportional random sampling from 8 private universities. The method of data collecting from each variable used the questionnaires, and data analysis used the Path Analysis Technique which was calculated by Smart PLS-SEM program. The research findings derived conclusions that (1) Service Quality, Social Media and Public Relation have significant effect on Organizational Image, and (2) The Social Media and Service Quality have significant effect on Public Relation. Based on those findings we recommend that improving the Organizational Image should be prioritized through strengthening the Service Quality, Social Media and Public Relation activities.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The study challenges the previous literature and assumes the digital vision as a proxy of intention among Technological, Organizational, and Environmental (TOE) factors and investigates the influence of TOE factors on cloud accounting adoption among Small and Medium Enterprises (SMEs). Furthermore, the effect of cloud accounting adoption on the organization's performance as measured by the balanced scorecard was evaluated. The data collection strategy employed an online survey of owners and managers using snowball methodology, in which the survey was automatically introduced to the respondents most likely to find relevant. The data was validated prior to SEM analysis. Seven of eight hypotheses were accepted, including the two hypotheses about the impact of the digital vision on cloud accounting adoption and the hypothesis about the impact of cloud accounting adoption on balanced scorecard-measures organizational performance. Despite the importance of the statistically significant factors in the study model, the digital vision was the most affected by the organizational readiness factor. The findings contribute to the TOE model by challenging the previous literature and assumption of digital vision as a proxy of intention among TOE factors. Future studies should use the TOE framework more caution if the intention is assumed to be a mediating variable.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The purpose of this research is to examine the effect of Web Quality (WebQual) on travelers’ online behavioral intentions through examining the mediating role of travelers’ perceived trust in the context of travel agencies in Jordan. Based on the extant literature, a conceptual model was developed. Data was collected through a questionnaire survey which was administered to a convenient sample of 300 participants. Structural equation modeling SEM with smart PLS 3 was implemented as an analytical methodology to process data. The results suggest that WebQual factors are significant in predicting travelers’ behavioral intentions. Moreover, the results demonstrate that perceived trust has a significant impact on travelers’ behavioral intentions and a partial mediation was also found for travelers’ perceived trust on the relationship between WebQual and travelers’ behavioral intentions. Discussion, conclusions, research limitations and areas for future research are all provided.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: Social Media is one of the digital marketing media that is widely used today and the presence of the brand ambassador phenomenon is one of the determinants of consumer purchasing decisions for a product advertised on social media. In today's advances in digital technology, whether consumers prefer to be a model for the product and also whether trust in consumers is also a factor in the consumer's decision to buy. The purpose of this study is to examine the effect of brand ambassador and trust variables on consumer decisions to shop online and also purchase decisions on repurchase. In this study the researchers used four variables, twelve dimensions where each dimension was represented by two indicators so that in this study there were twenty-four indicators which would later be changed in the form of questions to respondents. The population used is consumers who have shopped for fashion products using brand ambassadors. Given that the population is very large, the researchers used quota sampling to determine the number of samples. The study used 5 times the number of indicators so that there were 120 samples of respondents who were processed through Structural Equation Modeling analysis techniques with AMOS software. The results of data processing indicate that brand ambassadors and trust significantly influence consumer purchasing decisions. It was found that trust had the greatest influence on trust. Moreover, purchasing decisions have a significant effect on online consumer repurchase.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: University autonomy is a necessary condition for the implementation of advanced university governance methods to improve and enhance the quality of training. This study aims to examine the influence of factors on linkage between public universities in the context of university autonomy in Vietnam. Using quantitative research methods, through multiplicative model analysis, with a scale of 528 samples being managers, experts, scientists at public universities which are then divided by different sectors. The results show that there are 5 factors that favorably influence the linkage between public universities in the context of autonomy with the order of influence defined as: Information sharing; Goal consensus; Financial resources; University brand values; Commitment. Based on the research findings, the authors propose a number of recommendations to strengthen the linkages between public universities in the context of university autonomy in Vietnam.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: Technology use to buy products online as a new innovation on marketing is significantly influencing the buyer’s behavior in marketing and important to understand. The way suppliers present their product is interesting, especially to encourage people repurchase from their shops. The purpose of the study is to explore the relationship between advertisement, promotion, and lifestyle towards repurchase intention of the university students doing online shopping at e-commerce Shopee platform during the pandemic of COVID-19. The study uses a quantitative method for research. The data were collected using an electronic questionnaire on Microsoft Forms from 212 university students who used the e-commerce Shopee platform during the COVID-19 pandemic to shop. The purposive sampling method was used to collect the data from all the students. SEM-AMOS was used to analyze the data. The results indicated as follows: the advertisement variable has no significant effect on repurchase intention. Promotion and Lifestyle variables have a significant effect on the repurchase intention of university students at Jabodetabek area in shopping online at Shopee during the COVID-19 pandemic. From this study we can conclude that technology to advertise products has no relationship with repurchase intention of students while promotion and lifestyle has a significant relationship for students to repurchase products in the transformation of new normal activities in Indonesia.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: Artificial intelligence is user-friendly and possesses useful characteristics to share across the various services that are provided. By enhancing innovative contact, artificial intelligence applications (AIA) enable a more involved environment in governmental institutions. The goal of this study is to discover how users in the UAE feel about using AIA for educational reasons. Data collected from a survey of 387 university students were used to validate the model and hypotheses. The adoption features, such as perceived compatibility, trialability, relative advantage, ease of doing business, and technology export, are included in the conceptual model. The current study's practical implications are crucial in that they push the relevant educational authorities to comprehend the significance of each component and enable them to make plans and efforts in accordance with the order of the factors' relative importance. The managerial implications give educational sectors insight on how to apply AIA in their system to improve the growth of the provided service and to make the process easier for all users. The conceptual model of the paper, which links both traits of the individual and those of the technology, is what makes it new. The findings indicate that the diffusion theory variables outperform the other two variables of ease of doing business and technology export.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The development of trust among the customers of the organization is a key objective and critical to obtaining a competitive advantage. Therefore, this study was examined to assess the effect of social media interaction, public relations, and electronic word of mouth on brand awareness and trust. This study also examined the mediating role of brand awareness as well. For this purpose, the data was collected from the customers of the retail sector in UAE. This study adopted a quantitative research approach and cross-sectional design. The data was collected in the form of a research questionnaire by adopting simple random sampling. The questionnaire was distributed among 512 respondents. The usable response rate was 69.72%. For the analysis of data, the SEM technique was adopted and the tool used for this purpose was Smart PLS. The findings of the study revealed that all proposed hypotheses are accepted. The findings of the study are helpful for the academicians for further research and development of policies.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The effect of contextual factors namely information quality, service quality, system quality, Technological readiness, trust in applications (app) and COVID-19 health anxiety, on the intention and consequently the actual use of Mobile Payment (MP) app was examined in this study. Trust, as mediator to the relationship between technological readiness and intention to use MB-app was examined also. Data were obtained from 740 Jordanian Mobile Banking (MB) app users through an online survey. The relationship between service quality, system quality, information quality, trust in the app, COVID-19 health anxiety, Technological readiness and the intentions to use MB-app and the actual use of MB-app was empirically examined. The results showed a positive relationship between service quality, system quality, information quality, trust in the app and COVID-19 health anxiety, and the intentions to use MB-app, and in turn he actual use of MB-app, and a positive mediation of trust on the relationship between COVID-19 health anxiety and the intentions to use MB-app.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: Once the university started using social media more, the researchers started focusing more on how social media applications were being adopted and what motivated it without being limited to classrooms only. There is a need to conduct further research about how the utilization of social media to teach in university affects education. Considering this, delving deeper into the educational outcomes and a research model related to the experiences and results of social media use is the aim of this research. Apart from that, the Technology Acceptance Model (TAM) research that deals with the behavior intention of using social networking media, perceived playfulness, perceived ease of use and perceived usefulness has been used for testing what affects the utilization of social media for online-teaching in higher education of United Arab Emirates. There was an assessment of 580 quantitative responses given by university students whose classroom sessions involved using social media. In order to predict the behavioral intention of a pupil for using social networking media for e-learning in the higher education institutions, it is possible to take some help from the factors such as perceived playful-ness, perceived ease of use and perceived usefulness, as per the partial least squares (PLS) and machine learning evaluation. The suggested model helps teachers to get to know more about how classroom sessions can become more productive through social media usage.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: E-learning in knowledge management was examined in this study, specifically on how it assists organizations in improving knowledge transfer and e-learning management, to increase performance and employee knowledge management. In this study, e-learning and knowledge management systems and technology were jointly implemented, and its impact on organizational performance was examined. Organizational management was also explored. The present study investigated the relationship between knowledge management (KM) and innovation performance (IP). The mediating effect of knowledge Management was deeply explored. Randomly selected managers from 57 Jordanian manufacturing companies were the study samples, and there were 470 managers involved in this study, from strategic, tactical, and operational levels. Questionnaires were used to gather data, and the questionnaire items covered the constructs of knowledge management, organizational learning (OL), knowledge-oriented leadership (KOL) and IP. A research model was proposed and was tested using structural equation modeling (SEM). The findings were as follows: KOL positively affected KM; KOL positively affected IP; OL negatively affected IP; KOL positively affected KM; OL positively affected KM; KM positively affected IP and KM mediated the relationship between KOL, OL and IP.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: This study attempts to analyze the antecedents of e-commerce user behavior and their effect on future purchase intentions. Theoretical exploration shows that the antecedents used in the behavior of e-commerce users are perceived self-efficacy, perceived ease of use and perceived usefulness. The study uses the behavior of e-commerce users as a mediating variable. The study was also conducted using a quantitative method, by distributing questionnaires to 250 e-commerce users in Indonesia. The analysis technique used is Structural Equation Modeling (SEM) with SmartPLS software. The results show that perceived self-efficacy had a positive effect on perceived ease of use and perceived usefulness. These three antecedents in turn have a positive and significant effect on future e-commerce shopping interest by using mediation of user behavior. The results are theoretically useful for deepening Technology Acceptance Model exploration by estimating future buying behavior and interest. Practically, this study encourages e-commerce platform website developers to increase the ease and usefulness to increase the positive behavior of users in purchasing products.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)

Abstract: The primary goal of this study is to investigate the major elements that impact customer attitudes regarding internet purchasing in Jordan. This study employed a qualitative systematic literature review methodology, with 100 existing peer-reviewed articles completed in Jordan chosen for evaluation based on an inclusion/exclusion criterion. The findings of this study were collected utilizing a thematic method, which involved extracting previous researchers' findings from the literature, categorizing similar themes and findings, and drawing conclusions. According to the findings of this survey, the most important elements impacting customer attitudes about online buying in Jordan are trust, cultural hurdles such as uncertainty avoidance and a lack of understanding, security, perceived ease-of-use, and perceived utility. It was also discovered that Hofstede's cultural dimensions’ theory and the technology acceptance model (TAM) can help online businesses identify what factors drive online shopping adoption in Jordan. This study discovered, through a review of available literature, that the online shopping sector in Jordan is currently undeveloped, necessitating more effective growth techniques. Finally, the outcomes of this study provide online merchants with insight into what has to be prioritized in order to entice Jordanian customers to make online purchases. From the findings of this investigation, three areas of inquiry were uncovered for further study. Findings from this study also include suggestions for online retailers and policymakers looking to boost Jordanians' comfort level with making purchases over the Internet. The findings of this study will be invaluable to international online retailers that are considering entering the Jordanian market. They will reveal not only the most important aspects affecting consumers' perceptions of online shopping in Jordan, but also the level of maturity of this sector.

	© 2010 by the authors; licensee Growing Science, Canada. This is an open access article distributed under the terms and conditions of the license. Creative Commons Attribution (CC-BY)