Abstract: This research examined how virtual reality technology affects the marketing performance of the fashion industry in Jordan. Based on a sample composed of 528 online customers, structural equation modeling (SEM) was utilized as a statistical approach for hypothesis testing. The research findings demonstrated that virtual reality technology had a positive significant impact on marketing performance. This examination provides many implications that managers in the fashion industry in Jordan could recognize, the most notable was encouraging them to focus on increased product demos utilizing virtual reality technology in order to improve customers' comprehension of the product and boost their confidence when making purchase 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: In this study, the impact of COVID-19 lockdown on Jordanian high school students’ reading habits and attitudes was examined. COVID-19 has indeed affected education systems all over the world; education institutions all over the world were compelled to implement innovative technological approaches so that education could still be delivered to students, fulfilling the academic expectations, while the Sustainable Learning and Education (SLE) ideals are consistently embraced. One of these approaches has been the use of mobile learning applications (MLA). These applications (MLAs) employ some prominent features of mobile apps, to allow students to collaborate and participate in purposeful online learning. Still, the success of any technology is dictated by the acceptance of the user, in this context, the acceptance of students. In other words, student acceptance of MLA will determine the success of MLA. Accordingly, the effect of COVID-19 lockdown on the information behavior of high school students was examined in this study, with MLA being used by these students. Data were gathered from 394 high school students in Jordan. These students were chosen randomly, and they were all mobile phone users. The data covered the 2022–2023 fall term and were analyzed using Structural Equation Modeling (SEM). Based on the analyses results: Self-Efficacy and Perceived Compatibility had significant impact on Perceived Performance Expectancy and Perceived Effort Expectancy; Perceived Convenience and Perceived Effort Expectancy had significant impact on Perceived Performance Expectancy; Perceived Enjoyment had significant impact on the Behavioral Intention to use MLA; COVID-19 had significant impact on the Behavioral Intention to use MLA; Perceived Compatibility showed no significant impact on Perceived Enjoyment; and Perceived Effort Expectancy, Perceived Performance Expectancy and Perceived Compatibility showed no significant impact on the Behavioral Intention to use MLA. The outcomes of this study demonstrate a practical indication in support of digital information behavior among high school students in this era.

	© 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 proliferation of online violence has given rise to a spate of malignant incidents, necessitating a renewed focus on the identification of cyberbullying comments. Text classification lies at the heart of efforts to tackle this pernicious problem. The identification of cyberbullying comments presents unique challenges that call for innovative solutions. In contrast to traditional text classification tasks, cyberbullying comments are often accompanied by subtle and arbitrary expressions that can confound even the most sophisticated classification networks, resulting in low recognition accuracy and effectiveness. To address this challenge, a novel approach is proposed that leverages the BERT pre-training model for word embedding to retain the hidden semantic information in the text. Building on this foundation, the BiSRU++ model which combines attentional mechanisms is used to further extract contextual features of comments. A multi-task learning framework is employed for joint training of sentiment analysis and cyberbullying detection to improve the model's classification accuracy and generalization ability. The proposed model is no longer entirely reliant on a sensitive word dictionary, and experimental results demonstrate its ability to better understand semantic information compared to traditional models, facilitating the identification of potential online cyberbullying comments.

	© 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: Industries all throughout the world are preparing to understand the ramifications of the emerging metaverse, which is a merger of the virtual and physical worlds. Notably, the banking industry stands on the cusp of a monumental shift, with the metaverse offering unprecedented operational enhancements. While the potential transformations brought about by the metaverse are discussed in various sectors, there is a discernible gap in understanding its specific applications in banking, especially with respect to advanced technologies such as NFTs, blockchain, and smart contracts. The study adopts a comprehensive approach to bridge this knowledge gap, employing convenience non-probability sampling to engage 48 subject matter experts specializing in Metaverse-Enabled Innovation in Banking. Data was collected using both mailed and electronic questionnaires. The empirical analysis offers strong evidence supporting the pivotal role of technologies like Digital Twins, Artificial Intelligence, and Blockchain-Based Assets in the metaverse's preliminary stages. We discover a plethora of business potential for banks within the metaverse, including client communication, cross-border transactions, mortgages, digital assets, green loans, and data security.‎‎

	© 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 firms and the industries still using the ways and means of promotion and publicizing the products have still not achieved the level of success as the modern means of social media is providing in creating a huge demand for their products. This study involves the modern means of communication agility promises success, development, and significance of the product in an efficient manner. Social media plays a vital role in creating a demand for the products by explaining the need of the product and a very effective source of creating a link among industries, firms, management, employees and especially the individual ones who come to know the skills and expertise. The impact of social media in strengthening the relationship with the customer has been very keenly observed and the findings show that such research has detailed that the use of social media has influenced the internal and the external capabilities. The data gathered in this study shows that the firms and the industries using the approach of social media have a revolutionary impact on building and strengthening the relationship between the customer and the management, employees. This study shows a strong bond between a firm and the customer using 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: The present research endeavor delves into the profound effects of gamified assistive applications on the levels of user engagement, motivation, and academic attainment within the population of students grappling with learning disabilities in the esteemed nation of Jordan. The study involved individuals who actively interacted with a gamified assistive application that was specifically developed to offer tailored educational opportunities and enhance their scholarly advancement. The analysis of descriptive statistics unveiled a noteworthy degree of app engagement, signifying the app's proficiency in captivating and maintaining students' focus. The utilization of paired-samples t-tests revealed noteworthy enhancements in both intrinsic and extrinsic motivation subsequent to the utilization of the application, thereby underscoring the favorable impact of gamified components on student motivation. Furthermore, a notable enhancement in scholastic attainment was noted, underscoring the application's influence on augmenting students' educational results. The findings of the correlational analysis unveiled a noteworthy association between the utilization of mobile applications, the presence of intrinsic motivation, and the attainment of academic success. This implies that heightened levels of engagement and motivation are linked to enhanced academic performance. The results of this study highlight the considerable promise of gamified assistive applications in fostering motivation and providing support to students who face challenges associated with learning disabilities. The incorporation of gamification into educational technologies presents educators with a promising strategy to cultivate active participation and elevate scholarly accomplishments within this demographic, ultimately advancing inclusivity and fostering educational triumph.

	© 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 Exploration effect of digital taxation and digital accounting on customs efficiency and corporate sustainability at customs ports. Traditional tax and accounting procedures have undergone a radical transformation thanks to digital technology, which also provides more efficient methods that can have a big influence on customs operations. This article tries to clarify the interconnectivity between digital taxes, digital accounting, and the customs environment by a detailed analysis of customs-related factors such as compliance, efficiency, and sustainability. By automating compliance checks and streamlining tax-related activities, digital taxation is shown to considerably improve customs efficiency and efficiently comply with sustainability goals. Digital accounting simultaneously increases data accuracy and process efficiency, enhancing the sustainability of customs ports and significantly enhancing customs efficiency. The results of this study have significance for both customs agencies and businesses, offering the possibility of improving operational effectiveness, compliance observance, and sustainability practices. However, the necessity for continual research that concentrates on cutting-edge technology and legal frameworks is highlighted by several restrictions. By offering actual proof of the beneficial effects of digital technology on customs operations and sustainability, this study adds to the body of knowledge and lays the groundwork for further in-depth investigations.

	© 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 this digital age, fraudulent practices are among the most challenging that organizations must be aware of due to the increasing use of online transactions. This also applies to the banking sector whose business has become more complex with the recent developments in information and communication technology, which has changed the nature of bank fraud requiring advanced prevention measures. From this perspective, this paper aims to determine how cybersecurity affects fraud prevention for Jordanian commercial banks. A five-dimensional NIST cybersecurity framework was used. The research data was collected from 173 information technology managers in commercial banks listed on the Amman Stock Exchange. Structural equation modeling (SEM) was applied to investigate research hypotheses. The results of the research demonstrated the significant impact of cybersecurity in fraud prevention, especially detect function which had the largest impact among the dimensions of cybersecurity. Therefore, a set of recommendations were formulated for policymakers in Jordanian commercial banks, the most important of which is the adoption of multi-factor authentication (MFA) approaches for customer accounts, employee access, and biometric systems that add an additional layer of protection and make access to sensitive information to unauthorized individuals more difficult.

	© 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: Promoting sustainability development in education is a global endeavor, aiming to foster the sharing of experiences and knowledge on sustainability development. To achieve that, educational institutions worldwide have increasingly embraced educational technology and integrated online learning components into their instructional methods. This research focuses on the pivotal role of students as influential catalysts for advancing sustainable development within higher education. Specifically, it investigates the extent of students' familiarity with sustainable development initiatives within higher education institutions in the UAE. To achieve this objective, the study introduces the Technology-Integration Framework for Education Sustainable Development (TIFESD), which serves as an evaluative tool for appraising students' awareness of technology-driven elements woven into the broader context of Education for Sustainable Development (ESD) within their respective universities. The research employs a quantitative methodology, encompassing the collection of 513 survey responses from students across nine universities in the UAE. This data analysis explores the potential relationship between the integration of technology and students' cognizance of factors that bolster sustainable development. The study's outcomes underscore students' profound awareness of a spectrum of technology-driven elements, including Green Campus initiatives, Smart Education strategies, Smart Campus facilities, and the influence of curriculum and course offerings—all of which collectively contribute to the advancement of sustainable development practices within higher education 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 purpose of this study was to evaluate the impact of important entrepreneurship variables, notably self-concept, work motivation, and risk-taking, on organizational behavior and learning within the setting of Jordan Orange Telecommunication firm. Notably, the research was intended to look at how these factors affect organizational behavior and learning. To evaluate the hypotheses that were proposed in this research, a sample size of 294 people participated in the study, and their data were evaluated and debated. It was shown that an individual's perception of themselves as entrepreneurs, their level of drive at work, and their willingness to take risks all had an impact on developing organizational behavior and organization learning. It became clear that self-concept was the most important component, and that it included aspects such as self-confidence, self-perception, and self-definition. Closely following behind was the concept of work motivation, which included concepts such as self-motivation, extrinsic motivation, the setting of goals, and concentration. Risk-taking was the third key factor, and within this category were subcategories such as risk tolerance and risk perception, as well as expectations surrounding the consequences. The findings showed the possibility for improving organizational behavior and fostering innovation by assisting employees in comprehending the roles they play in their jobs, boosting job motivation, and encouraging a predilection for risk-taking. This can be accomplished by providing employees with training and development opportunities. The study adds fresh insights to a field that merits additional exploration, particularly considering the connection between workload, compensation, and the structural demands that are placed on organizations. The fact that the research concentrated on Jordan Orange Telecommunication company makes it both innovative and of major importance. This is because it can improve both the business's operations as well as the overall quality of the company's goods and 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: Recent technological advancements are endless and have had a profound influence on everyone in every part of life throughout the preceding decades. Artificial intelligence is one such invention that has the potential to change the world. Now, artificial intelligence is being used in almost all commercial operations. Hence, this research attempted to investigate the impact of artificial intelligence dimensions, including natural language processing, machine learning, expert systems, and computer vision on the financial decisions of pharmaceutical companies in Jordan. A cross-sectional approach was used through a comprehensive survey to collect research data from 148 accountants and financial managers in pharmaceutical companies listed on the Amman Stock Exchange with a response rate of 81.3%. The research hypotheses were examined using structural equation modeling of the collected quantitative data. The results indicated that the dimensions of artificial intelligence positively impact financial decisions. Accordingly, companies should spend on building strong artificial intelligence infrastructure and skills. Access to modern artificial intelligence technology, data analysis tools and cloud computing resources are also essential to rationalizing financial decision-making. Besides, Jordan's pharmaceutical sector can overcome these limitations and realize the full potential of artificial intelligence in financial decision-making by solving data privacy issues, encouraging ethical AI re-search, investing in artificial intelligence expertise, and enhancing collaboration.

	© 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: Crises possess a remarkable propensity to serve as catalysts for change, particularly within the sphere of education. They catalyze change in several key dimensions, including Accelerated Adoption of Technology, Highlighting Inequalities, Global Collaboration, Adaptation of Assessment Methods, Engagement with Online Resources, and Reimagining Education. In essence, crises compelling educational institutions to reevaluate long-standing norms and embrace innovative solutions. They shine a spotlight on challenges that may have remained overlooked and stimulate the formulation of strategies aimed at cultivating a more robust, adaptable, and inclusive educational landscape. This study provides a comprehensive strengths, weaknesses, opportunities, and threats (SWOT) analysis of E-learning at The University of Jordan amid the COVID-19 pandemic, offering valuable insights for strategic planning during crises. Based on data collected from 379 undergraduate students in the year 2022, it reveals strengths in terms of convenience and flexibility but highlights weaknesses such as low bandwidth and unstable internet connections. Additionally, it recognizes the opportunity for E-learning effectiveness during lockdowns while identifying threats like unreliable power supply and inconsistent internet access. This analysis enriches our understanding of the educational landscape and equips decision-makers with essential insights to enhance E-learning resilience and effectiveness during challenging times.

	© 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 emergence of financial technology has resulted in the rapid expansion of digital financial services and products that are accessed and delivered through digital channels. However, such technology has also exposed changes in the financial behaviors of the millennial generation. Hence, this article analyzes how digital financial literacy impacts financial behavior in the Jordanian millennial generation. A survey method was performed with 627 individuals of millennial generations from several cities in Jordan. Structural equation modeling (SEM) was conducted to estimate the relationship between the research variables. The findings revealed that digital financial literacy with its dimensions, i.e., digital knowledge, digital experience, digital skills, and digital awareness had a positive impact on financial behavior. This article depicts the level of digital financial literacy among Jordan's millennial generation. Therefore, it suggested a set of recommendations revolving around developing and promoting financial education programs for Jordanian millennials in collaboration with educational institutions, government agencies, and financial 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 recent progress of Financial Information System (FIS) has significantly affected businesses’ sustainable production process. Businesses generally employ FIS to automate their operational procedures and increase their corporate efficiencies through improvement in output quality and sustainability. The performance of FIS has been attributed to its key success criteria. Accordingly, this study examined antecedents of FIS intention to use among Small and Medium-Size Enterprises (SMEs) in Jordan at individual level, with specific focus on the acceptance and use of FIS among accounting department employees. Based on 436 respondents from Jordanian SMEs, results showed an impact of COVID-19 risk, trust, performance expectancy, and perceived severity on the intention to use FIS, whereas effort expectancy and perceived vulnerability showed no impact on the intention to use FIS among Jordanian SMEs.

	© 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 investigates the mediating effect of smart digital organizations on the relationship between digital leadership, digital talent scholarships, and learning management systems on digital technology adoption. This idea was tested using a quantitative methodology in this study. The research instrument was a questionnaire filled out by the respondents. Participants in this study were all lecturers and students at Palangka Raya University, Kalimantan, Indonesia. Two hundred thirty-six participants were randomly selected for this study, and data were analyzed using a structural equation model (SEM). This study found that digital leadership, digital talent scholarships, and learning management systems have a beneficial and statistically significant influence on digital technology adoption. In addition, smart digital organizations mediate the link between digital leadership, digital talent scholarships, and learning management systems on digital technology adoption. This research is helpful for higher education institutions because information technology is necessary to face the era of globalization. The novelty of this research offers its research analysis with quantitative analysis.

	© 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: Nowadays, weekend travel is gradually gaining people's attention due to societal impacts, with the desire to improve health, relax, rest, and entertain after days of exhausting work. Therefore, the development of weekend travel is a strategy of interest to managers and leaders, leading to intense competition among destinations. Although it has been long established worldwide, weekend travel in Vietnam has only recently gained popularity, primarily among young people. Therefore, researching the factors influencing the decision to choose weekend travel destinations is significant in developing strategies for this type of tourism. The research results show that the choice of weekend travel destinations by Ho Chi Minh City tourists is driven by various internal and external factors. Among them, internal motivations, income, convenience in the trip, the image of the destination, etc., are factors rated highly by tourists. There are significant differences in some internal and external factors according to age groups. Model testing and research hypotheses indicate that 66.4% of destination choices are influenced by the proposed factors in the model. Among them, the destination image has the most significant impact, followed by income, internal motivations, and distance. The remaining factors in the model have low or no impact on the satisfaction and commitment to return to weekend travel destinations for Ho Chi Minh City tourists.

	© 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 paper examined the influence of digital marketing and e-commerce on marketing performance and sustainability of the small and medium enterprises (SMEs). This research is quantitative research using a questionnaire approach method. Quantitative research is a research method based on the philosophy of positivism, used to research certain populations or samples, collecting data using research instruments, quantitative or statistical data analysis, with the aim of testing predetermined hypotheses. The sampling technique in this research is non-probability sampling. The respondents of this research were 580 SME owners in Indonesia. Research data was obtained by distributing online questionnaires via social media. The questionnaire was designed using a Likert scale from 1 to 7 and the analysis of research data used structural equation modeling (SEM). Based on the research results, it is concluded that digital marketing had a positive and significant relationship to marketing performance, E-Commerce had a positive and significant relationship with marketing performance, Digital marketing had a positive and significant relationship with business sustainability. In SMEs, E-Commerce had a positive and significant relationship with business sustainability in SMEs.

	© 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: Diabetes Mellitus (DM) is a frequent condition in which the body's sugar levels are abnormally high for an extended length of time. It is a major cause of death with high mortality rates and the second leading cause of total years lived with disability worldwide. Its seriousness comes from its long-term complications, including nephropathy, retinopathy, and neuropathy leading to kidney failure, poor vision and blindness, and peripheral sensory loss, respectively. Such conditions are life-threatening and affect patients’ quality of life. Therefore, this paper aims to identify the most relevant features in the diagnosis of DM and identify the best classifier that can efficiently diagnose DM based on a set of relevant features. To achieve this, four different feature selection methods have been utilized. Moreover, twelve different classifiers that belong to six learning strategies have been evaluated using two datasets and several evaluation metrics such as Accuracy, Precision, Recall, F1-measure, and ROC area. The obtained results revealed that the correlation attribute evaluation method would be the best choice to handle the task of feature selection and ranking for the considered datasets, especially when considering the Accuracy metric. Furthermore, MultiClassClassifier would be the best classifier to handle Diabetes datasets, especially when considering True Positive, precision, and Recall metrics.

	© 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 to explore the effect of digitized customer behavior on performance in the presence of digitized CRM as a mediating and a moderating variable. Research data was gathered using an online questionnaire completed by a convenience sample of marketing employees in service companies. The questionnaire was designed using a five-point Liker scale. The results showed that digitized customer behavior had a significant effect on performance, digitized CRM played a significant mediating role between digitized customer behavior and performance while had no significant moderating part in such an effect. Consequently, it was concluded that for companies to lift their performance, a digitized CRM program is a key prerequisite. This study contributes to the extant literature through highlighting the importance of digitized CRM for performance enhancement. Scholars and practitioners are required to consider the effects of digitized CRM on organizational outcomes.

	© 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 looks at how gamifying the classroom might help students retain and apply what they have learned in the Jordan educational system. During the year-long research, 500 participants from a wide range of educational attainment levels served as participants. Immediately after participation in gamified courses, participants retain a significant proportion of their newly acquired skills over a long period of time, demonstrating a notable improvement in retention. Important factors that affect how well one remembers newly acquired abilities include intrinsic motivation and interest. What's more, studies have shown that there's a strong link between keeping knowledge and being able to use it elsewhere, which highlights the need of maintaining competence for maximum efficiency in applying knowledge in the real world. Important implications for the Jordan educational system may be drawn from the findings since they are consistent with the goals of Vision 2030. The goal of this nationwide effort is to train workers who can sustainably advance the nation's economy and culture.

	© 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 robust authentication method is needed to protect online user accounts and data from cyber-attacks. Using only passwords is insufficient because they can be easily stolen or cracked. Multi-factor authentication (MFA) increases security by requiring two or more verification factors from the user before granting access to a resource such as an online account or an application. MFA is essential to a strong identity and access management (IAM) policy. This study evaluates and contrasts several MFA methods for online systems, including Microsoft Authenticator, FIDO2 security keys, SMS, voice calls, and biometrics. We assess these methods based on four criteria: security, usability, cost, and compatibility. We discover that only some MFA methods excel across the board. The best MFA method will depend on the organization's and users' specific needs and preferences. Each MFA method has benefits and drawbacks on its own. Based on our analysis, we do, however, make some general observations and recommendations, such as preferring FIDO2 security keys and certificate-based authentication for high-security scenarios, choosing Microsoft Authenticator and biometrics for high-usability scenarios, and avoiding SMS and voice calls for low-security and low-usability scenarios.

	© 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 goal of this study is to investigate the efficacy of gamified training programs and the influence of contextual variables on skill learning in the specific context of Saudi Arabia. Current research examines the impact of cultural and socioeconomic variables on the efficacy of gamification as a motivating tool. Moreover, it explores the use of real-world situations in skill-development initiatives, paying special attention to how such programs mesh with the aims of Saudi Vision 2030. The goal of this lofty strategy is to develop a knowledgeable and talented labor force and stimulate economic growth. Incorporating quantitative analysis helps to reveal a statistically significant and positive association between involvement and the enhancement of abilities, lending credence to the efficacy of gamified techniques. Extensive studies have also shown that a wide range of external influences have a major impact on the educational setting. Culture, social status, technical progress, and level of education are just a few examples of the many characteristics that fall under this category. They all contribute significantly to the educational setting. To effectively bridge the gap between academic ideas and their practical manifestations, it is crucial to include real-world experiences. Policymakers, educators, and organizations working to improve skill development within Saudi Arabia's specific context may gain much-needed insights from the aforementioned results.

	© 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 onset of the COVID-19 pandemic has wrought a profound transformation in the higher education landscape, compelling universities worldwide to pivot towards E-learning as the primary mode of instruction. This study, which was performed on a sample of 330 undergraduate students at The University of Jordan, undertook an in-depth exploration of student satisfaction with E-learning at The University of Jordan during this unprecedented shift, examining it through four demographic variables: gender, residence, faculty type, and academic year. The researchers employed rigorous statistical analyses, including calculations of mean and standard deviation, as well as one-way ANOVA tests, to thoroughly examine the data. The findings indicate a strong overall satisfaction level among students regarding E-learning, with discernible variations between items. There is a noteworthy correlation observed between students' academic faculty and their academic year in relation to their satisfaction level, with a p-value below 0.05, indicating statistical significance. This underscores the nuanced influence of these demographic factors in shaping students' perceptions and contentment levels as they navigate the evolving landscape of higher education during this extraordinary period. While the gender and the residence have no effect on the satisfaction level.

	© 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: Significant changes have occurred in the business world, with one of the most notable being the transformation of technology into digitalization. An example of this digitalization in the logistics sector is the implementation of electronic delivery orders (E-DO), aimed at enhancing convenience and efficiency in logistics activities. The objective of this research was to analyze the extent of influence that electronic delivery orders, logistics digitalization, and logistics service quality exerted on import document activities at Semarang port. Additionally, this study aimed to examine the role of logistics service quality as a mediating variable in the relationship between E-DO and logistics digitalization concerning import document activities. The research employed quantitative research methods, with a sample of 173 individuals selected through random sampling techniques, primarily comprising employees working in the logistics operations division and the export and import documentation division of shipping companies located in Semarang port. Data were collected through a questionnaire utilizing a Likert scale ranging from 1 to 7. Subsequently, the data were analyzed using SmartPLS 4 software to determine the relationships between variables. The findings of this research revealed that Electronic Delivery Orders (E-DO) had a significant influence on the quality of logistics services, although E-DO did not significantly impact import document activities. Furthermore, logistics digitalization was found to significantly enhance the quality of logistics services but did not exert a noteworthy influence on import document activities. The quality of logistics services was identified as having a significant effect on import document activities. Additionally, logistics service quality was recognized as a mediating factor in the relationship between electronic delivery orders and logistics digitalization concerning import document activities, with a substantial influence.

	© 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 investigates the impact of sustainability initiatives, choice of content, and engagement with environmental content on environmental awareness. Employing a sample of 435 respondents and utilizing Partial Least Squares (PLS) analysis, the research provides valuable insights into the role of digital marketing strategies in fostering environmental consciousness. The findings of this study highlight the substantial influence that digital marketing techniques can have on shaping individuals' awareness and attitudes towards environmental concerns. The confirmed hypotheses underscore the effectiveness of these strategies in promoting environmental awareness among diverse audiences. As the digital landscape continues to evolve, the research contributes to the growing synergy between digital marketing and environmental advocacy, encouraging further exploration and practical applications for a more sustainable future.

	© 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 COVID-19 pandemic has led to the end of in-person classes at universities and schools and the beginning of digital advancements in higher education. Flipped learning is very different from traditional teaching methods and necessitates some shifts in the roles of the teacher and the student. The purpose of this study is to investigate the effect of using flipped learning on students' achievement and measure their attitudes towards learning through it during the Corona pandemic period. A quasi-experimental study design was adopted through the pretest and posttest measurements. Two groups were randomly assigned one to be experimental, and the other a control. The present study showed that there was no statistically significant difference between the mean of the pre-measurement and post-measurement tests of the experimental group’s motivation towards learning using the flipped learning strategy. The findings from the quantitative data revealed that flipped learning contributed to the academic success of students and their attitudes toward learning during the corona pandemic period. Hence, further studies with more extended periods are recommended to examine the effect of Flipped learning on self-directed learning and other related variables.

	© 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 aims to investigate the relationships between Big Data and Internet of Things (IoT) adoption and employee behavior in the chemical manufacturing industry, specifically focusing on the mediating role of organizational innovation. The research methodology employs a quantitative approach that involves employee surveys, statistical analysis, and mediation testing. The primary findings reveal that Big Data adoption significantly enhances Organizational Innovation, contributing positively to Organizational Citizenship Behavior (OCB) among employees. Conversely, IoT adoption has a significant positive impact on Organizational Innovation but does not directly influence OCB. The relationship between IoT adoption and OCB is mediated by Organizational Innovation, highlighting the pivotal role of innovation as an intermediary in influencing employee behavior. The practical implications of this research suggest that organizations in the chemical manufacturing industry should strategically integrate Big Data and IoT technologies to foster innovation and elevate OCB. Leadership support and employee training are crucial. Study limitations include industry specificity, self-reported data, and static analysis. Future research should diversify samples and use longitudinal methods. Recommendations: embrace tech with innovation focus, train leaders, and deepen understanding of tech, innovation, and 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: Mobile e-learning within the education domain is now an integral part in education technology. However, there has been little discussion about the benefits and the challenges of the use of M-learning in the higher education system in KSA. Interviews were the primary instruments used for data collection in identifying the enabling and deterring the quality attributes of mobile e-learning use in the context in Saudi Arabia higher education. The research results revealed that learning content/information quality, system quality, service quality and instructional quality were the primary antecedents of Blackboard as a Learning Management System (LMS) in general and within the mobile devices, and this situation can enhance user’s attitude towards the use of E-learning. Data were analyzed and results were discussed. Recommendations were made based on the findings.

	© 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 aims to examine the implementation of Blockchain Technology within the financial sector, with a specific emphasis on its acceptance by Islamic banks operating in the United Arab Emirates (UAE). In the context of a technologically advanced period that necessitates expeditious and safe transactions, blockchain emerges as a viable remedy by obviating the need for intermediary entities and augmenting the velocity and security of transactions. This study uses Partial Least Squares Structural Equation Modeling (PLS-SEM) to investigate the important success aspects of technology and its influence on the performance of Islamic banks. The findings of this study are of particular importance, as they demonstrate the considerable impact of Investment Willingness on Financial Resources. Additionally, the study highlights the crucial role played by Organizational Culture and Leadership Support in fostering readiness for adoption. This study serves as an initial step towards the wider use of blockchain technology in the financial industry, with a particular focus on its application within Islamic banking 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 aim of this study was to examine how the implications of the Covid-19 pandemic moderate the impact of Artificial Intelligence (AI) on the effective application of Cyber Governance (CG) in Islamic banks. A total of 93 questionnaires from branch heads of Islamic banks were used in this study, and the data were analyzed using the Statistical Package for Social Sciences (SPSS) through descriptive-analytical methods. The findings indicated that AI has a significant influence on the effective application of CG in Islamic banks. The study also revealed that the Covid-19 Pandemic positively moderates the influence of AI on the effective application of CG in Islamic banks. The results of this study have implications for regulators and decision-makers in proposing new legislation to effectively apply CG in the Islamic banking sector, which can help protect public funds and limit cyber-attacks. This study is the first to investigate the moderating effect of the Covid-19 pandemic on the influence of AI on the effective application of CG in 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: With the digitization of historical databases and endowments, care must be taken when designing the framework for an information system on the web. Because conflicts arise frequently in reality, different data management requirements are necessary for the preservation of waqf property. For the purpose of creating and putting into place historical information systems and endowments for this inheritance, it is necessary to develop an acceptable management plan. An inheritance that is thought to be distinct from customary ones since it is governed by its own law is referred to as waqf, as an example. They typically comprise histories and endowments that need to be protected to ensure sustenance among the population and to ensure they live up to the standards of the community and country. This research was compiled and analyzed to support stakeholders in producing a more practical, focused, and value-delivery framework. The datasets were mapped based on relationships, graph databases, and semantic networks. Moreover, the framework was developed using several data representation models to ensure easier, faster, and more accurate methods of displaying the data. Relationships, graph databases, and semantic networks were used to map the datasets. The design was made available to users, administrators, and managers, with the latter group being in charge of maintaining data control over each entity. The case study was conducted using historical information and waqf from the Nadzir Pangeran Sumedang Indonesia Waqf Foundation (YNWPS) in the Kingdom of Sumedang Larang Indonesia (KSL).` The creation of a web-based information system to keep track of the data in each entity and ensure better preservation of historical genealogical databases and endowments was made simpler by the structured framework design.

	© 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 to examine the impact of Big Data on strategic foresight in the presence of open innovation as a (mediating variable) in the companies of the therapeutic industry and the medical supplies sector in Amman the capital city of Jordan. Out of the (121) companies making up the total of such companies, the study focused on (18) industrial companies that had more than (100) employees in total, however only (11) of those have consented to take part in the study. The study population consisted of (271) employees occupying different jobs (general manager, deputy general manager, unit manager, department manager). Due to the limited size of the population, the entire number of employees were included as participants using the comprehensive survey technique, and the number of returned and validated questionnaires for analysis were (259), representing (95.5%) of the total. In order to determine the study problem, pilot structured interviews were used in a sample of the mentioned companies. The questionnaire was employed as the key tool to measure the study variables through data collection, and the descriptive and inferential statistics methods were used to analyze the collected data, through calculations of the arithmetic mean, standard deviation, t-test and half-segmentation, exploratory and confirmatory factor analysis and the structured equation model using SMART PLS3 for hypothesis testing. The study culminated in several results, the most important of which was evidence that open innovation played a partial mediating role in the relationship between big data and strategic foresight in the companies of the therapeutic industries and medical supplies sector. Accordingly, a set of recommendations were put forward, the most important of which is to increase investment in big data in the companies due to its importance in foreseeing the future. As well as applying open innovation practices and strengthening strategic foresight practices due to its important role in avoiding extensive losses and seizing new opportunities. Highlighting the need to pay attention to open innovation practices that generate ideas and help to have strategic foresight.

	© 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: Research on digital literacy, knowledge management and process innovation variables has not been widely carried out in Indonesia, therefore more studies need to be carried out immediately since small and medium enterprises (SMEs) play an important role in economic activities. The purpose of this research is to investigate the effect of digital literacy on knowledge management, digital literacy on process innovation and financial management on process innovation. The research method is quantitative using partial least square structural equation modeling (SEM) analysis with data analysis tools using SmartPLS 3.0 software. The study involved 489 respondents who owned SMEs and it was determined using simple random sampling. The type of variable scale used is the ordinal scale. The rating scale for each statement uses a rating scale technique with a Likert scale type. Online questionnaires are distributed through online media, the data analysis stage is the outer model test, namely the validity and reliability test and the inner model test, namely the hypothesis test or significance test. The independent variable of this research is digital literacy, the mediating variable is knowledge management, and the dependent variable is process innovation variable. Based on the results of research data analysis it was found that digital literacy had a positive and significant relationship on knowledge management, digital literacy had a positive and significant relationship on process innovation, knowledge management had a positive and significant relationship on process innovation. Knowledge management played as full mediators in the relationship between digital leisure variables and process innovation.

	© 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 investigates the interplay between public administration, educational socialization on social media, population literacy awareness, and public satisfaction in the context of population services. The primary objective is understanding how these variables are interconnected and their collective impact on public satisfaction. The study employs a quantitative approach, collecting data through structured questionnaires from a randomly selected sample. Data analysis involves various statistical techniques using Smart PLS, including regression and mediation analysis. The findings reveal that public administration significantly influences population literacy awareness, underscoring the role of government agencies in shaping citizen understanding of demographic policies. While it was anticipated that population literacy awareness would mediate the relationship between public administration and educational socialization on social media for public satisfaction, this mediating effect needed to be supported. However, social media use was found to influence population literacy awareness, indirectly affecting public satisfaction directly. It highlights the potential of digital platforms to enhance citizen understanding and engagement. The implications are substantial. Governments should recognize the importance of effective communication and digital engagement in fostering an informed and satisfied citizenry. Additionally, tailored communication and education initiatives are crucial for promoting public understanding and engagement, ultimately contributing to higher levels of public satisfaction. The research's novelty lies in its exploration of the complex dynamics among these variables and its focus on the role of digital platforms in enhancing population literacy awareness. However, some limitations include the potential for context-specific findings and the need for further research in diverse 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: Social media has proven to be quite effective in raising awareness and anti-corruption movements in society. This research aimed to analyze the use of social media Twitter as a means of the Corruption Eradication Commission (KPK) in conducting anti-corruption campaigns in Indonesia. The research employed a qualitative content analysis on the KPK's official Twitter account. The data were processed using the NVIVO 12 Plus software to answer research questions. This research revealed that the KPK's Twitter account is quite active in carrying out anti-corruption campaign activities, although in general it is not optimal. It can be seen from the low intensity of communication and limited communication network so that it is considered as less collaborative. Improving the problems is needed by KPK as it must also show good performance so that public trust continues in high condition. However, this research has limitations in looking at all anti-corruption campaigns carried out by the KPK because it only used Twitter as the reference. Therefore, further research is suggested to analyze all KPK social media such as Youtube and Instagram.

	© 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: Educational systems worldwide have witnessed a significant shift towards technological applications, especially after COVID-19, which impacted how the learning contents are delivered in classrooms. Given the increased attention given to the numerous advantages of computer Simulations (CSs) programs, particularly in science education, this study compared the efficacy of employing a lab simulation of Newton's Second Law of Motion to teach physics in the UAE secondary school environment versus the more conventional approach (Face-to-face instruction). The study employed a quasi-experimental design that included 90 UAE 11th-grade students from two public schools in the City of Al Ain. The intervention included student engagement in the PhET interactive simulation of Newton’s second law of motion. The study employed the Test of Science-Related Attitudes (TOSRA) questionnaire to collect data before and after the intervention for the experimental and control groups. The findings demonstrated statistically significant differences between experimental and control groups in students' attitudes toward scientific inquiry, enjoyment of science lessons, and career interest in physics/science. Furthermore, results showed a significant difference in attitudes perceived in these scales, with males having a more significant effect size than female students in all three scales. The study concludes with implications and suggests recommendations for future research and practice.

	© 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: Unequal development is a major factor in measuring Indonesia's poverty problem, resulting in areas that are left behind. It is a primary concern of the government and stakeholders since it is unresolved and will lead to more problems in the community. Therefore, the government and stakeholders conduct various village developments to prosper the community. One is Batik village in Kemang, Bogor Regency, Indonesia. The Pakuan University of Bogor initiated the village development program. The collaboration forms a communication network and communication patterns to facilitate the delivery of messages. This study aims to identify and analyze the communication network pattern of stakeholders in the development of Kampung Batik in Kemang, Bogor Regency, Indonesia. This study is designed using a qualitative approach through interviews with relevant stakeholders. The communication network was analyzed using Sociometric Analysis through UCINET VI. The result indicates that the relationship between actors in the development of Kampung Batik is 75.5 percent and categorized as quite strong. Also, the communication pattern formed is an all-channel pattern with five actors who act as the star, bridge, opinion leader, liaison, cosmopolite, and isolate. This model supports the smart economy's potential to develop a smart village.

	© 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: Islamic banking across the developing countries may undoubtedly become more prevalent thanks to financial technology, making it more competitive in the financial sector. The current study's goal is to extensively address fintech on Islamic banks and to examine the effect of fintech Services upon Islamic banking financial performance around Jordan. The investigation utilized a quantitative-descriptive survey approach. The study utilized annual data (panel data) which were acquired via financial institutions figures of the annual statements from the Jordan's Islamic Bank (JIB) registered with Amman Stock Exchange from 2017 to 2021. This investigation found Fintech services, such as internet banking, mobile banking, crowdfunding, and automated teller machines had a substantial effect on JIB's financial performance. The positive beta value suggests that there were favorable relationships among JIB's financial success from 2017 to 2021 on Fintech services. Finally, the study recommends that JIB increase its efforts to inform the public concerning Islamic banking 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: The accelerated progress of Artificial Intelligence (AI) within the accounting field has resulted in a heightened use of this technology in international enterprises, therefore generating noteworthy ethical concerns. This research investigates the ethical implications that arise from the use of AI in accounting practices, focusing on international corporations operating in Jordan. The objective of this research is to provide a comprehensive framework for the ethical and responsible integration of AI within the accounting domain. The research used a survey methods approach while 379 respondents were selected using cluster and proportional sampling. The qualitative component of the research investigates the viewpoints and concerns of persons pertaining to the use of AI. The study results provide significant contributions to the development of a context-specific paradigm for AI ethics that prioritizes concepts such as transparency, fairness, and accountability. The findings of this study have substantial value for multinational corporations engaged in commercial operations in Jordan and similar regions. The results provide organizations with the necessary tools to proficiently address the ethical dilemmas that emerge as a result of using artificial intelligence in accounting procedures.

	© 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: China is the largest emitter of greenhouse gases globally, responsible for a substantial portion of the world's total carbon dioxide emissions. Many researchers investigated this issue; however, the literature is silent on how FinTech-based incentives can improve environmental performance. The research aims to shed light on the complex relationships among FinTech incentives, green consumer behavior, environmental consciousness, and environmental performance. Data was collected from 380 respondents representing diverse roles in the manufacturing industry. We used Smart-PLS and SPSS to test our hypothesis. The results confirm a positive relationship between FinTech incentives and green consumer behavior. However, consumer demographics and environmental awareness do not significantly moderate this relationship. The mediation analysis reveals that green consumer behavior mediates the relationship between FinTech incentives and environmental performance, while environmental consciousness mediates the relationship between FinTech incentives and green consumer behavior. Additionally, green consumer behavior mediates the relationship between environmental consciousness and environmental performance. The study's findings suggest that FinTech incentives effectively encourage eco-friendly choices, positively influencing environmental performance. This research contributes valuable insights for policymakers and businesses seeking to design effective environmental strategies and promote sustainability in the manufacturing industry. By leveraging FinTech incentives to encourage eco-friendly choices and foster environmental consciousness, businesses can contribute to a more sustainable future, aligning with global efforts to address environmental challenges and foster responsible consumption patterns in China and beyond.

	© 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 security and integrity of computer systems and networks highly depend on malware detection. In the realm of malware detection, the K-Nearest Neighbors (KNN) algorithm is a well-liked and successful machine learning algorithm. However, the choice of an acceptable distance metric parameter has a significant impact on the KNN algorithm's performance. This study tries to improve malware detection by adjusting the KNN algorithm's distance metric parameter. The distance metric greatly influences the similarity or dissimilarity between instances in the feature space. The KNN algorithm for malware detection can be more accurate and effective by carefully choosing or modifying the distance metric. This paper analyzes multiple distance metrics, including Minkowski distance, Manhattan distance, and Euclidean distance. These metrics account for the traits of malware samples while capturing various aspects of similarity. The effectiveness of the KNN algorithm is evaluated using the MalMem-2022 malware dataset, and the results are broken down into these three-distance metrics. The experimental findings show that, among the three distance metric parameters, the Euclidean and Minkowski distance metric parameters considerably produced the best outcomes with binary classification. While with multiclass classification, the KNN algorithm has achieved the highest outcomes using Manhattan distance.

	© 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: Given the widespread adoption of social media as a primary information source, organizations can no longer do without it. The importance of social media in creating sustainable company strategies has increased in tandem with the public's growing knowledge of sustainability issues. This study examines how marketing and social media can create brand sustainability plans. To create a practical framework for creating sustainability strategies, the relevant literature was evaluated. Market managers and digital marketers were surveyed using an online questionnaire. To extract conclusions from the data and model variables, a structural equation model was used. Findings from the survey indicate that businesses are increasingly turning to social media to share information with stakeholders, solicit opinions, and collect information for use in developing sustainability plans. Market managers play a vital role in ensuring the sustainability of their businesses. The research has theoretical and managerial implications.

	© 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: Digitization technology has developed in the preservation of cultural heritage, especially ancient manuscripts. In this context, image retrieval methods allow for efficient access to the information contained in ancient manuscripts. Optimization techniques play a role in building an effective image retrieval method. This paper presents a systematic literature review that focuses on the role of optimization in digital image retrieval methods for preserving ancient manuscripts as part of cultural heritage preservation. This paper is organized based on the following research questions: (1) What are the research objectives regarding optimization in digital image retrieval of ancient manuscripts?; (2) What is the role of optimization in image retrieval methods for the preservation of ancient manuscripts?; and (3) How have existing studies determined the formulation of novel and new research? This study involved searching articles through Scopus, Dimensions, Science Direct, and Google Scholar databases and using bibliometric analysis to visualize research themes and trends. The results of the literature review show that research related to the role of optimization in the digital image retrieval method of ancient manuscripts is still open and this paper can be used as a reference for further research on this topic.

	© 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 the realm of financial security, the detection and prevention of credit card fraud has become paramount. With the ever-increasing reliance on digital transactions, the risk of fraudulent activities targeting credit card systems has grown significantly. To combat this, sophisticated techniques are required to swiftly identify and mitigate potential threats. Machine learning, a cornerstone of modern data analysis, has emerged as a powerful tool in this pursuit. By leveraging vast datasets and employing advanced algorithms, machine learning enables the automated scrutiny of transactions, distinguishing between legitimate and fraudulent activities with remarkable precision. This paper introduces an intelligent method for credit card fraud detection that relies on Competitive Swarm Optimization (CSO) and Random Weight Network (RWN). Additionally, the system includes an automated hybrid feature selection capability to identify the most pertinent features during the detection process. The experimental outcomes validate that this system can attain outstanding results in G-Mean, RUC, and Recall values.

	© 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 Indonesian real estate market has shown promising development in recent years, attracting investors seeking lucrative opportunities. This research aims to increase the success rate of real estate investments in Indonesia by examining the connection between macroeconomic factors and consumer behavior. This study employs vector autoregression (VAR) models to investigate the influence of macroeconomic data on the Indonesian house price index (HPI). We intend to determine the primary determinants of the HPI by analyzing various macroeconomic indicators, including GDP growth, CPI, crude oil, interest rates, and the unemployment rate. In addition, the research investigates the role of consumer behavior in Indonesian real estate searches. Real estate developers and investors can gain valuable insight into the effect of consumer preferences, motivations, and decision-making processes on demand functions by understanding consumer preferences, incentives, and decision-making processes. A comprehensive analysis of historical data and econometric modeling techniques are employed to accomplish research objectives. The research is conducted using pertinent macroeconomic indicators, real estate market data, and consumer surveys.

	© 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 delves into the intricate landscape of metaverse technology adoption within higher education institutions in the UAE, investigating the multifaceted interplay of accessibility, technology adaptability, and policies and regulations. Using a cross-sectional research design, data was meticulously collected through a multistage sampling approach, combining probability and non-probability methods. A pretested questionnaire underwent rigorous evaluation, ensuring unbiased item formulation and adherence to best practices. The investigation challenges and extends the Technology Acceptance Model (TAM) by revealing unexpected findings. The absence of a significant relationship between accessibility and metaverse adoption prompts a call for an expanded TAM framework. Surprisingly, a negative correlation between technology adaptability and adoption is highlighted, emphasizing the need for a cautious assimilation approach. Moreover, the research underscores the influential role of policies and regulations in metaverse adoption, advocating for a comprehensive TAM framework that encompasses regulatory dynamics. Findings offer practical implications for stakeholders, policymakers, and institutions, emphasizing diverse adoption facets beyond accessibility. The study contributes to the discourse on metaverse adoption and advances theoretical frameworks for technology integration within educational contexts. The methodology's meticulous design underscores the study's rigor, ensuring the robustness of the insights gleaned from the investigation.

	© 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 aims to explore the impact of AI-induced anxiety on the adoption of mobile payment services in supply chain firms, viewed through the lens of Mental Accounting Theory. In an era driven by technological advancement, supply chain companies' use of mobile payment services has arisen as a crucial problem. This study is the first to investigate the complicated links between AI-induced anxiety, perceived utility, and the adoption rate of mobile payment systems using the Mental Accounting Theory as a theoretical framework. The study employs a quantitative research approach, using Smart PLS for regression analysis, and gathers its data from major supply chain business players. Our analysis offered important insights into the many aspects influencing the adoption of mobile payment services in supply chain companies. The acceptance rate was shown to be adversely connected with AI-induced anxiety and integration expenses, posing obstacles for businesses seeking to embrace mobile payment systems. In contrast, characteristics such as perceived utility, usability, confidence in security, and backing from upper management were positively connected with adoption rates. These findings provide not only theoretical contributions to the current research, but also concrete advice for supply chain practitioners seeking to exploit mobile payment systems for operational and strategic advantage.

	© 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: Pandemic moments have generated mental and emotional problems in students at all levels. These have been affected by the format of virtual classes, the mandatory confinement and the little physical relationship due to the existing restrictions, generating academic burnout and anxiety in university students. In this context, the objective was to know the existing relationship between burnout and anxiety in students of the FIS-UNCP, the 15-question Maslach Burnout Inventory Student Questionnaire (MBI-SS) was used with the dimensions: Emotional Exhaustion, Cynicism and Loss of Academic Efficacy and 5 questions to know the level of technological anxiety or technostress, with a population of 328 university students of 10 semesters, through the questionnaire in Office Forms. The research design was non-experimental, transectional, with a qualitative-quantitative approach and descriptive-explanatory levels. The descriptive data analysis was made based on the scale, allowing the identification of students with burnout and the structural equation modeling facilitated the establishment of the relationship between the variables. The study showed that 26 students (7.93%) suffer from academic burnout. At the same time, it has been demonstrated that there is a positive and significant relationship between emotional exhaustion and lack of academic efficacy, with technological anxiety with path values of 0.701 and 0.345 respectively, the p-values allowed demonstrating hypotheses 1 and 3 formulated. At the level of the structural model, it allows anticipating future results, since the coefficient of determination (R2) calculated was 0.838.

	© 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: One time series model developed to predict economic data is Spatial Vector Autoregressive with Exogenous Variables (SpVARX). This model can accommodate simultaneously the interrelationships between variables, the impact of exogenous variables, and Inter-regional linkages. However, this model has not adjusted the nonlinearity relationships between variables. The relationship between economic variables is usually not linear. Therefore, we introduce the Threshold Spatial Vector Autoregressive with exogenous variables (TSpVARX). This paper assesses the forecasting performance of TSpVARX and compares it with SpVARX models. We conducted a simulation study by generating 100 times the simulation data with twelve scenarios. We found that the forecasting performance of the TSpVARX model is better than SpVARX when there is a nonlinear relationship between variables. In addition, we find that the forecasting performance of TSpVARX models will improve as the sample size increases.

	© 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: Research on human-computer interaction currently focuses on enhancing system usability by establishing an appropriate user interface (UI) that depends on users’ features. Online users typically have different perceptions of their favored interface design depending on their preferences. Thus, those interface preferences could be utilized to recognize online users’ identities. User authentication is another critical issue that should be considered to improve online security mechanisms without compromising usability. This study investigates the feasibility of using UI preferences as evidence of user identity. The proposed method applies to the design preferences of users dealing with online systems (e.g., e-exam and e-banking). These preferences are closely associated with individual characteristics, whether physical, cognitive, psychological, psychomotor, demographic, or experience based. Many design characteristics could be used in online systems; for example, the e-exam interface design may use features such as the font (size, color, and face), the number of questions per page, background color, questions group, timer type, and sound alert. The feasibility evaluation of this study indicated that 96.8% of research participants have variations in their preferences, and each participant kept 94.5% of their design preferences throughout different sessions.

	© 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 role of electronic human resource management (E-HRM) in contemporary organizational excellence in Jordan Social Security Corporation (SSC) to understand how SSC organizational excellence was impacted by E-HRM in Jordan. A questionnaire was created and delivered to 100 employees in the institution to complete this study. Out of this distribution, 82 usable questionnaires were retrieved for the purpose of analysis. The findings revealed that there was a significant statistical relationship between all functions of E-HRM and organizational excellence. Moreover, the findings revealed that Jordanian social insurance companies should expand the use of E-HRM to attain organizational excellence in all areas. Discussion, conclusion, and future work are depicted at the end of this study.

	© 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 investigates how knowledge-oriented leadership impacts on innovation performance both directly and indirectly mediated electronic based knowledge management systems (e-based KMS). Where, electronic knowledge management system consists of knowledge management infrastructures, and knowledge management processes. Primary data was obtained through a questionnaire given to 110 managers or directors of the manufacturing company as respondents. In addition, data were also obtained through observation techniques, and interviews with respondents. Both descriptive statistical analysis, and structural equation modelling (SEM) was used as an analysis method. The findings suggest that knowledge-oriented leadership has a positive, direct, and significant influence on knowledge management infrastructures as well as knowledge management processes. However, knowledge-oriented leadership has no direct influence on innovation performance. The findings also indicate that electronic knowledge management systems that consist of knowledge management infrastructures, and knowledge management processes have a direct, positive, and significant influence on innovation performance. This study suggested that there are two key pathways for businesses to improve their innovation performance i.e.: enhancing the technological, cultural, and structural infrastructure of the company, and enhancing knowledge creation, use, and utilization.

	© 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 aims to examine the mediating effect of attitude toward the continued application of e-tax in the association between perceived usefulness, ease of use, compatibility, and intention to continue applying e-tax based on empirical evidence from Vietnamese tax officials. Thereby, the research model is proposed and the hypotheses are developed on the basis of the Technology Acceptance Model (TAM). This study applies a quantitative analysis with a research sample of 343 tax officials from tax authorities at all levels within Vietnam. This study applies stratified and convenient sampling techniques. Structural equation modeling with AMOS was used to test the hypothesized relationships. The results revealed that among perceived usefulness, ease of use, and compatibility only perceived usefulness has a direct impact and positive relationship to the intention to continue applying e-tax and the attitude toward the continued application of e-tax also has a direct impact and positive relationship to the intention to continue applying e-tax. Especially, the results prove the mediating effects of attitude toward the continued application of e-tax on the relationships towards the intention to continue applying e-tax. This study contributes to both the literature and practice. The limitations and future research implications are 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 mobile services sector in Saudi Arabia has experienced significant growth in recent years, largely driven by the increasing demand for mobile communication and internet services. This systematic review aims to identify and evaluate the effective strategies for enhancing customer satisfaction in Saudi Arabia's mobile services sector. A systematic review was conducted across five databases from 1st January 2010 and 31st March 2023. The entire process was followed as recommended by the PRISMA guidelines. The findings suggest that the most effective strategies for enhancing customer satisfaction in the Saudi Arabian mobile services sector are improving network coverage, enhancing customer service, offering competitive pricing, introducing new technology and features, and providing value-added services. By adopting these strategies, mobile service providers in Saudi Arabia can enhance their customers' satisfaction, build stronger relationships with their customers, and ultimately increase customer loyalty. Moreover, the study revealed that a combination of these strategies would lead to higher levels of customer satisfaction. The study's findings indicate that mobile service providers in Saudi Arabia can enhance customer satisfaction by focusing on various strategies, such as improving network coverage, customer service, pricing, technology, and features, and providing value added services. Customer satisfaction is one of the main aspects of service delivery. Immediate measures in this regard will assist the mobile sector in Saudi Arabia to plan effective approaches to improve customer satisfaction; this, in turn, can give them a competitive edge in the market and sustain growth in the mobile services 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)

Abstract: This study examines the impact of Digital Zakat Management, Transparency in Zakat Reporting, and the Zakat Payroll System on Zakat Growth Acceleration, with Zakat Management Accountability as the mediating factor. Data from muzakki and Zakat institutions were collected through surveys and questionnaires, and regression and correlation analyses were used to assess the relationships between variables. The findings reveal that digital Zakat management positively impacts Zakat management accountability and Zakat growth acceleration. Transparency in Zakat reporting also has a positive effect on Zakat management accountability. However, the Zakat payroll system does not significantly influence Zakat management accountability or Zakat growth acceleration through mediation. The study underscores the importance of accountability as a mediator between digitalization, transparency, and Zakat growth, offering insights for Zakat institutions to optimize their practices and promote equitable social impact. Future research should consider qualitative methods and comprehensive variables to understand Zakat dynamics 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 employs a quantitative approach to investigate the relationship between E-learning and Organizational Excellence in UAE universities. The study focuses on 250 senior and middle administrators from public universities selected through a convenience sampling method. The advanced statistical tools SPSS and AMOS were used to analyze the research data through Structural Equation Modeling (SEM). The findings reveal the impact of e-learning dimensions–Technical Knowledge and Management Willingness—on Organizational Excellence. Additionally, the study delves into moderation effects, revealing that Gender, Age, Educational Level, and Experience play pivotal roles in influencing perceptions of e-learning among senior and middle administrators at UAE public universities. This research contributes to the understanding of how e-learning impacts Organizational Excellence within the UAE university landscape while also highlighting the crucial moderating roles of demographic variables. These findings offer valuable insights for educational institutions aiming to optimize e-learning strategies and enhance organizational 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: Explosive material detection considers the identification and classification of explosive materials using techniques from traditional sniffer dogs to cutting-edge sensing technology like thermal imaging, X-ray scanners, and chemical sensors. Explosive detection is applied in various locations, including airports, government buildings, and public areas, to prevent terrorist attacks and criminal actions that attempt to employ explosive devices. The effectiveness of these procedures is dependent on the detection materials, equipment, and environment, so new techniques are continuously explored to increase precision, sensitivity, and detection speed. Because explosive substances present a critical risk to infrastructure, security, and public safety, extensive analysis of existing detection methods is needed. This paper highlights key areas for further research and development in explosive materials detection by addressing identified limitations and challenges. Specifically, advancements in technology, interdisciplinary collaboration, and the integration of AI techniques offer significant opportunities for improving detection accuracy, reducing false positives, and ensuring safer environments for individuals and society.

	© 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 explain the role of Tri Hita Karana-based business strategies and digital marketing strategies in improving sustainable business performance. The population of this study was traditional tai-weaving SMEs in Bali. The sample size was 195 managers of traditional ikat weaving SMEs with a purposive sampling method. The analysis technique used is Path Analysis using SEM-PLS. The results show that government and environmental orientation had a positive and significant effect on sustainable business performance, while digital orientation had no significant effect on sustainable business performance. Environmental orientation had a positive and significant effect on Tri Hita Karana's business strategy, and environmental orientation had an insignificant effect on digital marketing strategy. Furthermore, Tri Hita Karana's business and digital marketing strategies positively and significantly affected sustainable business performance. Therefore, it is essential for traditional tai-weaving SMEs in Bali to intensify the implementation of Tri Hita Karana and digital marketing strategies to improve sustainable business 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: Coffee shops have now evolved into an integral part of the modern lifestyle embraced by today's youth, especially by Generation Z. This study aims to understand the role of technology, specifically through Social Media Usage (SMU) and Electronic Word-Of Mouth (eWOM), and how trust as a mediator affects purchase intention and subsequently impacts customer loyalty. This study involved 282 respondents from diverse backgrounds. The sampling technique employed both snowballing and random sampling methods. For analysis, the Structural Equation Modeling (SEM) technique was utilized. In the study, several relationships were tested for their significance. The relationship between SMU and Trust was found to be significant. However, the relationship between eWOM and Trust was not significant. Trust significantly influenced Purchase Intention and Customer Loyalty. The direct relationship between Purchase Intention and Customer Loyalty was not significant. Moreover, the mediated relationships of SMU through Trust to Purchase Intention were significant, while the mediated relationship of eWOM through Trust to Purchase Intention was found to be non-significant. This investigation illuminates the distinct confluence of age-old values and contemporary digital interactions in sculpting consumer behavior within Indonesia. It accentuates the imperative for coffee shop enterprises to discern and synergize with these trends to guarantee enduring prosperity.

	© 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 social media technology has an impact on the welfare of users but has side effects on communication and behavior when used excessively. Excessive use of social networking sites impacts user behavior in obtaining fast information and sharing information with other users to show their strengths as a personal profile. Data was collected on young adults who made purchases on credit with pay letters as many as 210 users of social media Twitter, Facebook, and YouTube. The analysis used in the study used Partial Least Square version 4. The research data was obtained by distributing questionnaires via Google Forms. The study results show that excessive SNS use influences money attitudes, including money anxiety, trust, and power. The money trust that users have has an impact on money power. Money attitude affects credit application PayLater overuse behavior. The results showed that money trust did not impact increasing credit application PayLater overuse behavior, while money power and money anxiety influenced credit application PayLater overuse behavior. Research makes a practical contribution for SNS users to continue using it reflectively, so it does not interfere with work activities, family relationships, and the responsible use of money. The theoretical contribution enriches the theory of money behavior, e-payment, and money attitude using 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)