Showing papers in "International journal of data and network science in 2023"

The influence of social media marketing activities on customer loyalty: A study of e-commerce industry

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

Repurchase intention of e-commerce customers in Indonesia: An overview of the effect of e-service quality, e-word of mouth, customer trust, and customer satisfaction mediation

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

The effect of teaching methods on university students’ intention to use online learning: Technology Acceptance Model (TAM) validation and testing

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

The impact of digital HRM on employee performance through employee motivation

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

The impact of cloud-based solutions on digital transformation of HR practices

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

Determinants of artificial intelligence adoption in SMEs: The mediating role of accounting automation

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

A fuzzy based model for rainfall prediction

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

Blockchain technology for corporate governance and IT governance: A financial perspectiv

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

Celebrity endorsement in social media contexts: understanding the role of advertising credibility, brand credibility, and brand satisfaction

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

Evaluation of factors affecting university students' satisfaction with e-learning systems used dur-ing Covid-19 crisis: A field study in Jordanian higher education institutions

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

The adoption of artificial intelligence applications in education

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

Customer attitudes towards online shopping: A systematic review of the influencing factors

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

The influence of the Internet of things on pharmaceutical inventory management

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

Increasing the security of transmitted text messages using chaotic key and image key cryptography

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

Antecedents of mobile banking app adoption during COVID19: A perspective of Jordanian consumer

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

Antecedents of social media influencers on customer purchase intention: Empirical study in Jordan

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

Factors affecting social networks acceptance: An extension to the technology acceptance model using PLS-SEM and Machine Learning Approach

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

Awareness model for minimizing the effects of social engineering attacks in web applications

Abstract: Social Engineering (SE) Attacks against information systems continue to pose a potentially devastating impact. Security information systems are becoming increasingly significant as the number of SE incidents rapidly increased and became more aggressive than before. The World Wide Web (WWW) has evolved for information exchange and knowledge-sharing. It enables the sharing of information in a timely, effective, and transparent manner. Identity theft and identity misuse are two sides of cybercrime in which hackers and fraudulent users collect sensitive information from current legal users in order to perform fraud or deceit for financial gain. Malicious links are used as phishing methods, in which malicious links are planted beneath legitimate-looking links. As the number of web pages grows, the number of malicious web pages and the attacks of such become more complex. In this paper, we provide a method for identifying malicious web pages using a crawling and classification approach that helps to support the automatic discovery of the malicious links. The proposed approach can successfully complete the crawling session even if the page requires partial page refreshment and authentication credentials. The evaluation of the proposed approach shows a higher accuracy compared to an existing approach with an overall accuracy of 72% in three custom applications. Moreover, the proposed approach will calculate the significance and the impact severances of each link on the website and it better differentiates malicious web pages and normal links. The results of the proposed approach will also help in providing a set of recommendations which can increase the awareness level of the end-users, website administrators on how to better deal with these types of SE attacks.

The effect cloud accounting adoption on organizational performance in SMEs

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

The effect of reliable data transfer and efficient computer network features in Jordanian banks accounting information systems performance based on hardware and software, database and number of hosts

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

SEM-machine learning-based model for perusing the adoption of metaverse in higher education in UAE

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

The effect of social media influencers on purchase intention: Examining the mediating role of brand attitude

Abstract: The rapid growth of social media platforms has revolutionized marketing communications, and the recent trend of how people use social media led to the inception of the term "influencer marketing" as an increasingly popular approach for brands across markets. This development has been driven by the unparalleled increase in influencers’ presence on social media platforms, which has generated new venues for companies to connect with their desired demographic and interact with them in a more genuine and significant manner. Understanding the factors that drive the effectiveness of influencers has become increasingly important for both marketers and researchers. Numerous studies have been conducted on the topic of celebrity endorsements. However, the use of "traditional" celebrities is losing its appeal in the digital era of social media, as brands increasingly turn to social media influencers instead. Nonetheless, there is still a lack of understanding about how marketers can effectively utilize this new marketing phenomenon. This study aims to examine the role of trustworthiness, expertise, and information quality of social media influencers in shaping consumer purchase intention, with a specific focus on the mediating role of brand attitude. A total of 309 complete responses were collected via convenience sampling between January and February 2023 then the model examined by using SPSS and AMOS software. The results showed that all attributes of the influencers are affecting brand attitude as well as purchase intention, while brand attitude partially mediated the relationships. Implications, limitations and future research have also been discussed.

The impact of electronic banking services on the use of technology by customers of conventional and Islamic banks in Jordan

Abstract: The aim of this study was to examine and determine the impact of electronic banking services on the use of technology by customers of conventional and Islamic banks in Jordan. For the current study, a random sample of 580 customers in Jordanian conventional and Islamic banks was selected using the quantitative research methodology, and in order to gather the necessary data, the study employed a survey questionnaire instrument that was developed based on the earlier relevant literature and studies. The results of this study showed that perceived ease of use (PEU), perceived utility (PU), simplicity of use (SU), and social influence (SI) all significantly affected the use of technology in Jordanian conventional and Islamic banks.

The effects of e-government, e-billing and e-filing on taxpayer compliance: A case of taxpayers in Indonesia

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

Digital transformation in enhancing knowledge acquisition of public sector employees

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

The effects of digital transformation, digital leadership, and entrepreneurial motivation on business decision making and business process performance: Evidence from greater Amman municipality

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

Antecedents of user attitude towards e-commerce and future purchase intention

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

Avoiding uncertain buying intentions: Does WebQual matter?

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

The impact of digital marketing and brand articulating capability for enhancing marketing capability

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

Artificial intelligence and entrepreneurship education: A paradigm in Qatari higher education institutions after covid-19 pandemic

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