Abstract: Digital information has had a significant impact on higher education, transforming the way students learn and interact with course materials, professors, and their peers. Education systems that place a high priority on learning satisfaction and tutor quality frequently ignore the problem of limited access to digital information and technology. In this study, we provide an integrated model that examines how the TAM constructs of digital information in education (DIE) are affected by digital information flow, technological readiness, learning satisfaction, and tutor quality. We provide information on the results of a project evaluation that examined how digital information is used in higher education. We gathered information from a survey of 594 college students to validate our model and hypothesis. Our research suggests that external factors that improve users' technological readiness and learning satisfaction may have an impact on how valuable they perceive DIE to be. A user's traits, particularly their level of technological preparedness, have a significant impact on how simple technology is to use. The user's perceived usefulness of the technology may also be further enhanced in some cultures by the tutor’s perceived excellence. External elements like the flow of information may have a significant impact on the intention to use 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: This paper sought to test the impact of mixed reality technologies on student engagement in Kuwait universities. Physical reality, augmented reality, augmented virtuality, and virtual reality have been relied upon as mixed reality technologies. Moreover, behavioural, cognitive, and emotional engagement were used as measures of students' engagement according to self-determination theory. The data used in the analysis were received from 812 students in various disciplines in Kuwaiti universities with a response rate of 86.19%. Structural equation modeling (SEM) was the statistical approach used in data analysis. The results indicated varying relative importance levels for mixed reality techniques, although the relative importance level for students' engagement was high. Besides, all mixed reality technologies had a positive impact on students' engagement, with the highest impact of augmented reality and the lowest impact of augmented virtuality. This paper provided contributions to the development of an empirical approach based on new technologies to improve student engagement in developing country universities. Accordingly, the paper emphasized the need for Kuwaiti universities to invest in augmented reality technologies, for example, interactive screens and 3D mobile applications to increase students' exploratory ability.

	© 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 survey aims to provide a coherent and bibliometric overview of the theories and constructs employed in smart homes acceptance and adoption literature. To achieve the study aims, we conducted a systematic search for every article related to the SH concept, services and applications, user acceptance and adoption, and integrated IoT home appliances and devices, in 10 major library databases, namely, IEEE Digital Library, ACM Digital Library, Association for Information Systems (AIS), Elsevier, Emerald, Taylor and Francis, Wiley InterScience, Springer, Inderscience, and Hindawi. These databases contain literature focusing on smart home adoption using IoT technology. 40 research articles of journal and peer-reviewed conferences were found relating to our research objective, presented and distributed chronologically, by publisher, country, theory and model, key construct, and with full bibliometrics for each article. Additionally, this survey includes a word cloud and a taxonomy of the entire factors used to understand users’ acceptance and adoption of smart homes in different contexts and applications. This study has many advantages in covering the current research gap in the literature and also the researchers identify theoretical and practical research implications, research limitations, and recommendations for improving the acceptance and usage of smart homes literature.

	© 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 the impact of brand image on public university links in the context of autonomy in Vietnam. Using quantitative research methods through exploratory factor analysis (EFA) and Structural Equation Modeling (SEM), the survey data included 631 samples of managers, experts, and scientists at public universities divided by different disciplines. The results of the study showed that the brand image has both a direct and indirect impact on public university links in the context of autonomy through intermediate elements of trust and commitment in the relationship between universities. In addition, trust has also been shown to have a direct impact on commitment in the relationship between public universities in Vietnam in the context of autonomy. In the context of research in Vietnam, the findings of this study have shown both theoretical and practical contributions and will be an important basis for further research.

	© 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 the study is to present a digital marketing data analytics model to analyze campaign efficacy and inform strategy based on website performance, social media metrics, email marketing performance, customer data for targeting and personalization, and customer journey analysis. This model defines campaign success criteria for strategy. A statistical analysis approach was used to analyze the data for the research. Data was gathered through a survey. This study analyzes demographic parameters descriptively using the structural equation model (SEM). From comprehensive surveys, 125 digital media and 115 online shop subjects responded. Sampled were 240 people. According to the findings, social media data, customer journey research, successful advertising, and informed approaches are highly correlated. Compared to the previous study, website performance evaluation does not match the marketing plan's success. The model's results can be used by any company that communicates with clients online.

	© 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 was to examine the effects of digital transformation, digital leadership, and entrepreneurial motivation on business decision making and business process performance in the Greater Amman Municipality. The study's hypotheses were put to the test and proven through a variety of quantitative analysis and data processing techniques. The research hypotheses were evaluated using a Structural Equation Model. Participants in this research are managers from the middle and high echelons of the Greater Amman Municipality, who were responsible for making decisions in their respective divisions. One hundred and eighty middle and upper-level managers with at least eight years' experience in public service were recruited for this study from the Greater Amman Municipality. Distributed questionnaires and the deliberate sampling technique were used to compile this data. Decision making had a positive effect on the business process performance, and the results of hypothesis testing data processing using Structural Equation Model indicated that digital transformation, digital leadership, and the motivation of the business environment all had positive and significant effects on business decision making and business process performance in the Greater Amman Municipality. To conduct their research, the authors opted to focus on digital transformation, which includes four primary components: process transformation, business model change, domain transformation, and cultural transformation. The following dimensions commander, communicator, collaborator, and co-creator were all indicative of digital leadership. Entrepreneurial motivation could be seen in the word’s communication, hassle-free work environment, mastering the art of constructive criticism, and trust among others. The novel aspect of this study is the model developed to explain the interplay between digital transformation, digital leadership, and entrepreneurial motivation, and how these factors influence business decision making and business process performance at Greater Amman Municipality.

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

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

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

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

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

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

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

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

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

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

	© 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: Jordanian real estate enterprises are experiencing difficult market circumstances and an increasingly competitive environment; following these issues, this study examines the leverage of electronic word of mouth (e-WOM) on customer purchase intention in a Jordanian context with specific reference to real estate enterprises, considering the moderating role of reliability. Based on earlier studies, a conceptual model for the study was created. This research includes e-WOM as an independent variable affecting customers' purchase intention as a dependent variable mediated by reliability. The investigation follows descriptive-analytical methods; based on a convenience sampling approach, 300 questionnaires were distributed through Google Forms; nonetheless and 250 responses were accepted. To analyze data and assess hypotheses, a structural Equation Modeling (SEM) using PLS was employed. Results demonstrated a significant effect of e-WOM and Reliability on purchasing intent of customers, and the moderating role of reliability in the relationship between e-WOM and purchase intent was also affirmed. The findings give Jordanian real estate businesses information on ways to use that are most effective e-WOM to persuade buyers to buy.

	© 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 spread of the Covid-19 pandemic and the interruption of personal communication between the teacher and students in higher education led to the need for finding solutions that enable the continuation of the educational process and ensure access to accurate information that improves the level of human capital in dealing with dynamic environments. Therefore, this research sought to analyse the impact of the application of artificial intelligence in entrepreneurship education in Qatari higher education institutions after the Corona pandemic. The measurement of artificial intelligence was based on dimensions (machine learning, natural language processing, expert systems, and machine vision), while entrepreneurship education was measured by dimensions of (entrepreneurial cognition, entrepreneurial competence, and innovation spirit). The research followed an experimental quantitative approach based on collecting data from Qatari university students using a questionnaire developed for the research purpose. Hence, the convenience sample used in the research was composed of 402 students from various Qatari universities, which represents a response rate of 67% from the distributed questionnaires. The statistical analysis of the research data was based on the covariance-based structural equation modeling technique (CB-SEM). The results of the research indicated that all dimensions of artificial intelligence had a positive impact on entrepreneurial education, with the highest impact being machine vision and the lowest impact being natural language processing. Accordingly, the results of the research revealed the need to invest in technological capabilities for supporting the educational system aimed at generating innovative human resources capable of coping with the uncertainty of the work environment.

	© 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 employed a quantitative method to investigate the association between social media adoption, integrated marketing communication, and employee-based brand equity for 34 private universities in Jakarta, Indonesia. The study used a purposive sampling technique to select 67 essential staff members to participate in a questionnaire. Partial Least Square was utilized to assess the hypothesized associations between the constructs in the study using the structural model and the measurement model. Results of the output generated by PLS-SEM exhibit the significance of the Importance–Performance Matrix. The analysis indicates a substantial positive relationship between social media adoption, integrated marketing communication, and employee-based brand equity. The researchers found that the two endogenous latent variables of social media adoption and integrated marketing communication explained 41.1% of the variance in employee-based brand equity, with exogenous factors explaining the remaining 58.9%. The study's implications suggest that integrated marketing communication is critical in building brand equity for private universities in Jakarta, Indonesia. The findings could provide a valuable guide for formulating marketing communication strategies that prioritize social media adoption and integrated marketing communication techniques to improve employee-based brand equity. Overall, the study's findings provide important insights into the association between social media adoption, integrated marketing communication, and employee-based brand equity for private universities in Jakarta, Indonesia, and could have implications for other regional private educational 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 current study aimed to shed light on the influence of quality 4.0 including Data, Analytics, Connectivity, Collaboration, App Development, Scalability, Management Systems, Compliance, Culture, Leadership, and Competency in supporting organizational efforts of digital transformation among Jordanian telecommunication organizations. A quantitative approach was adopted to achieve the previously mentioned aim. An online questionnaire was filled out by a convenient sample of 141 quality managers and employees within Jordanian telecommunication organizations: namely Zain, Umniah, and Orange. SPSS was used to screen and analyze primary data and AMOS version 23 was used to test the study hypotheses. The results of the study accepted the main hypothesis which indicated that quality 4.0 increases organizations seeking to accomplish digital transformation due to its ability to present better chances for the organization to develop and adhere to quality standards. The study recommended supporting organizational IT infrastructure to make a good environment for quality 4.0 adoption.

	© 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 outbreak of the Covid-19 pandemic and the introduction of Society 5.0 by the Japanese government in 2019 have resulted in significant changes to consumer behavior. The aim of this research is to examine the impacts of consumption value on customers' behavioral shifts. Furthermore, quantitative methods were used with a sample of 344 respondents, and data analysis using the structural equation model with the Lisrel 8.72 application. The stages in the structural equation analysis of this model are: development of theoretical models, development of path diagrams, conversion of path diagrams to structural equations, selecting input matrices and types of estimates, identifying models, assessing goodness of fit criteria, and interpreting results. The results obtained showed that consumers' attitudes and habits toward utilizing meal delivery applications can be influenced by factors such as their social, conditional, emotional, epistemic, and functional values. In the use of food delivery applications, consumers are not only interested in tangible benefits, but also in less tangible benefits, such as information provided by 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: The aim of this study was to examine and determine the impact of electronic banking services on the use of technology by customers of conventional and Islamic banks in Jordan. For the current study, a random sample of 580 customers in Jordanian conventional and Islamic banks was selected using the quantitative research methodology, and in order to gather the necessary data, the study employed a survey questionnaire instrument that was developed based on the earlier relevant literature and studies. The results of this study showed that perceived ease of use (PEU), perceived utility (PU), simplicity of use (SU), and social influence (SI) all significantly affected the use of technology in Jordanian conventional and Islamic banks.

	© 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 one of the most evolving technologies, which has a major impact on our daily life. Almost all new devices will have a feature to be connected and controlled over the Internet. Several applications are utilizing IoT to enhance routine processes and actions efficiently. The Internet of Vehicles (IoV) evolved from IoT, where vehicles communicate with each other or with other objects to have a better transportation environment to reduce the number of accidents and save people’s lives. IoV is considered new fields that need security requirements including confidentiality, integrity, availability, authentication, and trust. Trust management technique is used to validate entities behaviors automatically against well-defined policies. The major categories of trust model in IoV are based on entity, data, or a combination of both. This paper proposes a trust model which is based on a combination of entity and data to define the trust of vehicles and utilize the public key infrastructure to distribute certificates to vehicles. Based on certificate validation, messages will be trusted and accepted. This model has been tested across different simulation scenarios which showed that the proposed model detected malicious vehicles and trusted vehicles did not accept their messages.

	© 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: Ad hoc networks, known as infrastructure-less networks, are composed of mobile nodes that connect without a centralized system controlling them. These networks have a wide range of potential applications, including emergency response, events, military operations, wireless access, and intelligent transportation. They can take on various forms, such as wireless sensor networks, wireless mesh networks, and mobile ad hoc networks. Because users in these networks can move around at any time, routing protocols must adapt to the constantly changing network layout. However, these networks are also susceptible to various security threats, including DDoS attacks. This paper aims to analyze the performance and impact of security attacks on the performance of reactive and proactive routing protocols in CBR connection patterns with different pause times. The analysis is provided in metrics such as throughput, packet loss, end-to-end delay, and load. The simulation results show that, on average, the OPNET Modeler simulator analyzed the performance results under DDoS attacks under voice and video traffic conditions. Furthermore, the paper explores the use of Honeypot intelligent agents as a solution to increase security by creating a dummy node to fool DDoS attackers. The results show that the OLSR protocol is most affected by DDoS attacks in terms of quality-of-service metrics such as packet loss, throughput, end-to-end delay, and load. The number of responses to the honeypot solutions differs for each protocol.

	© 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 paper proposes a new variant of NTRU with a slightly different critical formulation. The significance of this new variant is that it requires an additional private key to provide a tighter scheme. Because of these changes, modified key generation, encryption and decryption algorithms have been developed accordingly. The new variant is analyzed and tested against several well-known attacks, namely the alternate private key attack, brute force attack, meet-in-the-middle attack, multiple transmission attacks and lattice attack. Security properties related to these attacks have been established and explored to ensure the new variant is secure against the said attacks. Several examples are provided to illustrate the ideas.

	© 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 aimed to know the impact of electronic delivery orders and logistics digitalization on the import document activities mediated by logistics service quality in the national shipping lines, especially the members of Regional Container Lines. Several logistics companies in Indonesia have now begun to utilize digital technology supported by the national logistics ecosystem platform to advance logistics activities, to assist logistics processes in all sectors, including the industrial sector. Shipping, especially by sea shipping. One of the research problems, among others, is that the TSJ/T3 terminal still uses manual delivery orders. The research used the path analysis method and Sobel test with a random sample of 102 PT Bhum Mulia Prima customers. The result of the study showed that electronic delivery orders and logistics digitalization partially contribute to the import document activities through logistics service quality. Furthermore, logistics service quality as the intervening variable strengthened the contribution of an electronic delivery order to the import document activities. Testing is also needed by comparing digital systems between the shipping companies that still do not use manual documents and those that have used online processes in import 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: Social Engineering (SE) Attacks against information systems continue to pose a potentially devastating impact. Security information systems are becoming increasingly significant as the number of SE incidents rapidly increased and became more aggressive than before. The World Wide Web (WWW) has evolved for information exchange and knowledge-sharing. It enables the sharing of information in a timely, effective, and transparent manner. Identity theft and identity misuse are two sides of cybercrime in which hackers and fraudulent users collect sensitive information from current legal users in order to perform fraud or deceit for financial gain. Malicious links are used as phishing methods, in which malicious links are planted beneath legitimate-looking links. As the number of web pages grows, the number of malicious web pages and the attacks of such become more complex. In this paper, we provide a method for identifying malicious web pages using a crawling and classification approach that helps to support the automatic discovery of the malicious links. The proposed approach can successfully complete the crawling session even if the page requires partial page refreshment and authentication credentials. The evaluation of the proposed approach shows a higher accuracy compared to an existing approach with an overall accuracy of 72% in three custom applications. Moreover, the proposed approach will calculate the significance and the impact severances of each link on the website and it better differentiates malicious web pages and normal links. The results of the proposed approach will also help in providing a set of recommendations which can increase the awareness level of the end-users, website administrators on how to better deal with these types of SE attacks.

	© 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 this study is twofold. First, to explore the effect of smart human resources (HR) 4.0 practices on employee effectiveness. Second, to investigate the mediating role of employee job satisfaction in the relationship between these two latent variables. Distributing a questionnaire to gather data from a sample of HR managers and employees in Ministry of Digital Economy and Entrepreneurship, the results point out that smart HR 4.0 practices as a whole construct represent a significant predictor of employee job effectiveness as measured by employee performance based on their personal, social, methodological, and technical skills. As well, the results revealed that smart HR 4.0 embodies a significant predictor of employee job satisfaction. The results found a significant effect of the latter on employee job effectiveness, a significant mediating role of employee job satisfaction was established. The study provides a theoretical basis for further studies on such effects as well as an empirical ground from which companies could start to boost employee satisfaction and effectiveness through smart HR 4.0 technologies.

	© 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 critical to safeguard confidential data, especially secret and private messages. This study introduces a novel data cryptography approach. The new approach will be capable of encrypting and decrypting any communication size. The suggested approach will use a sophisticated private key with a convoluted structure. The private key will have 5 components with a double data type to prevent guessing or hacking. The confidential data will produce two secret keys, the first of which will be taken from the image key. These keys will be vulnerable to slight changes in private key information. To maximize the approach's efficiency, the suggested method will deal with lengthy messages by splitting them into chunks. On the other hand, the chaotic logistic map model will be used to create the second key. The suggested technique will be implemented, and several sorts of analysis (sensitivity, quality, security, and speed analysis) will be undertaken to demonstrate the benefits of the proposed method. The quality metrics MSE, PSNR, and CC will be computed to validate the suggested method's quality. To illustrate the efficiency of the proposed technique, encryption and decryption times will be measured, and cryptography throughputs will be determined. Various PKs will be tried throughout the decryption process to demonstrate how sensitive the produced outputs are to changes in the private key. The suggested approach will be tested, and the results will be compared to the results of existing methods to demonstrate the improvement offered by the proposed method.

	© 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: 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.

	© 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 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.

	© 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 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.

	© 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: 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.

	© 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 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.

	© 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: 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.

	© 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 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.

	© 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 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.

	© 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 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.

	© 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: 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.

	© 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 came to examine the impact of Digital transformation on sustainable performance. The research population consisted of employees of Industrial companies listed in Amman stock exchange that is 23 companies. Because of the difficulty of collecting data using a complete census, a random sample of 530 employees was determined. 397 responses were used for the purposes of the statistical analysis of this research. In order to find the impact of digital transformation on sustainable performance, the structural equation modeling (SEM) technique was used. Research results show that digital transformation dimensions had a positive impact on sustainable performance. Big data had the greatest impact. Accordingly, the researchers recommend Industrial companies invest more in manufacturing modern technologies, represented by Digital transformation technologies that give companies the ability to provide high-quality performance and prepare an infrastructure to operate these technologies.

	© 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 Central Road is the most connected road between the capital and cities of the jungle and the highlands in Peru. Nowadays, this road suffers from intense traffic jams that excessively delay time travel. Moreover, it is vulnerable to closures due to natural and human factors. Also, there is a proliferation of reckless drivers who do not care about speeding and cause terrible accidents. Hence, the current research explores whether the speeding record affected the occurrence of accidents on this road. After applying the Logit regression, it was possible to find that only recording speeding beyond 30 kilometers per hour over the limit was relevant to prevent accidents. It was also suggested that the speedometer should track 24 hours a day along with measures to improve the infrastructure of this road.

	© 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 information technology (IT) and the adoption of blockchain have affected the world of finance today. Research on these two matters is still lacking, especially from a financial perspective. This study aims to review the latest research regarding changes in corporate governance with the adoption of IT governance and blockchain. A computerized multi-database literature search was conducted in January–March 2022, using the ScienceDirect and Emerald search engines. The terms “corporate governance”, “IT governance”, and “blockchain” were entered in the descriptor fields, with “language” limited to English and “source” limited to peer-reviewed journal articles. The implementation of good corporate governance will reduce the company's risk and protect investors. Technological advances can be used to develop better IT governance by making information transparent and adopting technological advances to support the implementation of good corporate governance. Under a blockchain framework, corporate governance might evolve in a variety of ways. There are several advantages to issuing and trading corporate securities on blockchains, but there are also certain drawbacks connected to increased ownership transparency. Businesses would seek out board members and outside advisors with various skill sets, and crucial issues like managerial incentives would probably change to account for the shifting character of corporate securities.

	© 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: Since smartphones are so common, digital wallets have developed swiftly to fulfill the demands of a contemporary culture that promotes mobility and streamlines transaction processes. This study's objective is to clarify consumer behavior in Indonesia's adoption of digital wallets. This study was carried out in Jakarta involving 360 respondents. This study analyzes using a structural equation model (SEM) with LISREL software tools. The results of this study explain that perceived ease of use, trust, security, and intention are important in increasing the actual usage of digital wallet users in Indonesia. The practical implications of this study are useful for comparing perceived scores on various antecedents of digital wallet adoption. The study identifies potential differences in perceptions of the elements influencing the adoption of digital wallets in Jakarta, particularly among the younger generation, which makes up the bulk of respondents. The success or failure of digital wallets depends on a variety of ecosystem components as well as consumer-related factors.

	© 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: Blockchain technology is one of the crypto-currency technologies that has received a lot of attention. It has also found use in various applications, including the Internet of Things (IoT) and Cloud computing. Nonetheless, Blockchain has a significant scalability issue, restricting its ability to support services with various transactions. On the other hand, cloud computing is the on-demand availability of shared computer system resources, although issues now beset it in automation, processes, management, policies, and human aspects. Combining cloud computing and blockchain technology into a single system can improve network control, task scheduling, data integrity, resource management, pricing, fair payment, and resource allocation. In this article, we offered a comprehensive and up-to-date survey of cloud computing and Blockchain integration, a critical service for business applications due to the benefits of privacy, security, and service support. The lack of a comprehensive assessment examining the significance of BaaS platforms used in cloud computing prompted this review. We focus on the various BaaS tools that are currently in use. This report also examines the most common BaaS platforms incorporating Blockchain as a cloud service, such as Alibaba, Oracle, Azure, Amazon, and IBM. Furthermore, this research highlighted some major technological issues associated with merging Blockchain with cloud computing.

	© 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 the paper is to select the mediating role of information integration between cloud computing and productivity. The research sample comprised 320 employees. Survey was utilized to gauge the cloud computing impact on productivity and information integration. 281 questionnaires returned for statistical analysis, adopting the quantitative approach. The study's findings indicated that productivity standards, applying information integration, and cloud computing usage were all highly prevalent. In addition, there was an impact for cloud computing on productivity and information integration. Recommendations for study were discussed.

	© 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 investigates the effects of system quality and service quality on e-filing user satisfaction as well as the effect of information quality on e-filing user satisfaction through quantitative research. The variables in this study consist of the dependent variable, namely e-filing user satisfaction, while the independent variables are system quality, information quality, and service quality. The population in this study is the taxpayer. The sample in this study includes 340 taxpayer respondents in Indonesia who were calculated using the Slovin formula, with the research instrument in the form of a questionnaire measured using a Likert scale 1 to 7. The sample collection technique in this study uses the incidental sampling method, with the research instrument using an online questionnaire distributed via social media. The sample collection method in this study used incidental sampling. The data analysis technique in this study used structural equation modeling (SEM) with SmartPLS 3.0 software tools. The results of this study indicate that system quality has a positive effect on e-filing user satisfaction. Information quality also has a positive effect on e-filing user satisfaction. Finally, service quality has a positive effect on e-filing user 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)