Entrepreneurship is currently a popular topic for research due to the influence it brings to bear on multiple areas of life. Consequently, it is necessary to recognize the behaviors that boost the chances of entrepreneurs and their startups achieving success. This research primarily seeks to investigate the extent to which networking behaviors can influence the success of entrepreneurial startups in Jordan. For this purpose, the authors propose and study six networking behaviors as independent variables, namely cultivating internal contacts, cultivating external contacts, socialization, getting involved in professional activities, taking part in community activities, and raising one’s profile within the company. The dependent variable is the success of entrepreneurial startups. A quantitative analysis was conducted by distributing a questionnaire to startup companies in Amman, Jordan. The results confirm that the better entrepreneurs are at practicing these networking behaviors, the more influence they have on the success of their startups. Those behaviors that carry most influence are cultivating internal contacts, cultivating external contacts, and getting involved in professional activities. Finally, the research recommends further study should be carried out to make known the full impact of these six networking behaviors, in addition to encouraging more wholesale adoption of entrepreneurial networking behaviors to increase the probability of success for entrepreneurial startups.

This research paper aims to examine the impact of social media advertisement attributes, including informativeness, trust, and irritation, and internet users’ motivational factors; namely investigation, customization, opportunity seeking, interaction, and entertainment on individuals' attitude towards advertisements over social media sites in Jordan. A conceptual research model was proposed based on the relevant literature to be empirically tested. Data was collected using an online questionnaire survey administered to 256 participants. Hypotheses were tested using single and multiple linear regression analyses. Results show that advertisement design factors along with internet users’ motives were all significant factors affecting the attitude towards advertisements on social media sites with entertainment, interaction and informativeness had the highest impact. Based on the research findings, recommendations were reported for academicians and practitioners. Limitations and promising areas for further research were discussed.

This study investigates the mechanism by which customers’ affective and cognitive states drive their behavioural intentions towards upscale restaurants. With stimulus-organism-response (SOR) theory as a backbone, two competing mediation scenarios; one-step versus two-step mediation are examined. A dataset of 425 conveniently selected valid responses was used to test the models. Structural equation modelling shows that customer behavioural intentions were better explained by a cognitive-affective mediated model than by one-step mediated model. The results of hypotheses testing reveal the significance of restaurant design in enrichening customers’ cognitive experience, thus, eliciting their affective states, which ultimately affect their behavioural intentions. This paper shows the applicability of the cognitive theory of emotions in explaining restaurant design-customer behavioural intentions relationship. The results also provide insights for restaurant operators on how the design characteristics of their restaurants can be best utilised to encourage positive customer responses. Discussion, conclusion and future work are also provided.

The moderating role of influencer endorsement and perceived monetary benefits on the relationship between perceived risk and financial artificial intelligence services was explored in this study. Data were obtained through questionnaires distributed to 200 respondents who were selected using a purposive sampling method. The respondents were customers receiving financial artificial intelligence services in Jordan. Analysis was performed using a structural equation modeling approach run by Smart-partial least squares (PLS) 3.2.9 involving data from 138 returned questionnaires. The results show a negative impact of perceived risk on financial artificial intelligence services, and a moderation effect of influencer endorsement and perceived monetary benefits on the relationship between perceived risk and financial artificial intelligence services. The findings can assist companies in their strategies of decreasing perceived risks that individuals could be encouraged to utilize business intelligence applications, for instance, financial technology services.

This study investigates the impact of game-based (gamification) e-Learning techniques on students' engagement, thereby, their satisfaction with e-learning in Jordanian private universities. A conceptual model was developed based on existing empirical evidence from the literature. Data was then collected through a self-administered questionnaire survey from 198 private university students, who were conveniently selected for the study. The data was analyzed using Structural Equation Modeling (SEM) with smart PLS 23. Data analysis revealed a positive effect of gamification on both student engagement and satisfaction, suggesting that incorporating gaming elements into the e-learning process in Jordanian private universities led to higher levels of student engagement, thereby greater student satisfaction with the e-learning experience. A mediating role was also found for student engagement on the effect of gamification on student satisfaction. The findings provide insights to practitioners on how gamification can be utilized as an effective strategy to deliver a more enjoyable and interactive e-learning experience. Research findings were discussed, and conclusions and implications were lastly provided.

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 current research scrutinizes the relationship between the three model commitment components (affective, normative, and calculative commitment) and their various influences on customer loyalty. This is particularly in the banking sector setting in Jordan. A self-reported questionnaire was distributed to collect primary data for analysis. 333 completed questionnaires were analyzed via using PLS software to extract the effect of e-service quality on the relationship between customer commitment and loyalty. The results of this study demonstrate that the affective type of commitment has a positive impact on customer loyalty followed by normative commitment and lately by calculative commitment. Moreover, the results show that the influence of the dimensions of customer’s commitment on loyalty is moderated by e-service quality. This study indicates that affective commitment elements (self-identification, sense of belonging and emotional attitudinal components) are essential for customers when they deal with their bank. On the other hand, the cost associated with leaving has shown to have the weakest impact on customer loyalty. Companies must know that customers may switch even though the cost associated with leaving is high.

Customers' online shopping intentions have not changed in response to technological advancements, making it difficult for businesses and marketers to invent new strategies to maintain long-term relationships with customers and encourage them to repurchase despite unprecedented technological advancements around the world. Following these issues, the current study investigated how M-CRM, Perceived Ease of Use, and Perceived Usefulness influenced Post-Purchase Behavior, as well as how Ease of Use and Perceived Usefulness mediated the relationship between M-CRM and Post-Purchase Behavior. The study introduces the Unified Theory of Acceptance and Use of Technology as a theoretical framework to accomplish this goal. The 239 responses were evaluated using Smart Partial Least Squares after the data was obtained from a random sample of Jordanian consumers. M-CRM, as well as Perceived Ease of Use and Perceived Usefulness, had a beneficial influence on post-purchase behavior, according to the data. Perceived Usefulness and Ease of Use The relationship between M-CRM and Post-Purchase Behavior was impacted by usefulness. Companies might use these facts to develop a marketing strategy for Jordanian customers.

The purpose of this study is to examine the determinants of behavioral intentions to use of mobile health (m-Health) applications in Jordan through examining the mediating role of perceived trust and its influence on the behavioral intention to use such applications. A conceptual model was developed based on the extant literature. A questionnaire survey was administered to a convenient sample of 318. Data was analyzed using smart PLS 3. The findings suggest that patients’ behavioral intentions to use m-Health applications are positively affected by perceived ease of use, perceived security, social influence and perceived trust of these applications. Perceived Trust was also found to mediate the relationship between these factors and the behavioral intention. Discussion, conclusions, implications, research limitations and areas for future research are also provided.

This research empirically explored the factors influencing the continuous use of mobile Apps in Jordan. The research utilized the Theory of Planned Behavior, the Diffusion of Innovation Theory and the Social Cognitive Theory to build the conceptual foundation of the research model. Using a quantitative approach, the study utilized a questionnaire with a set of well-validated items for the purpose of collecting data. The study collected 524 usable surveys, and analyzed the data using structural equation modeling technique (PLS-SEM). Results indicated that the three constructs relevant to this study (perceived risk, mobile self-efficacy, and social influence) were significant in predicting a users' awareness and the continuous use of mobile Apps. Customer focus moderated the relationship between awareness and continuous intention. In addition, the findings also confirm that users’ awareness mediated the relationship between the three independent variables and the continuous use. The Detailed findings of this research are discussed, with conclusions and future research reported at the end.