The study aimed at developing a new model that integrates mobile banking service quality in its three dimensions: information quality, system quality, and interface design quality, with customers’ satisfaction. The study used a survey method for collecting data and a sample of (439) customers downloading mobile banking applications and practicing banking transactions was selected randomly. The study model was validated using the validity and reliability measures in the SPSS statistical program, and Partial Least Square technique was used for testing the model hypotheses. As a result, it was found that information quality, system quality, and interface design quality significantly affected customer’s satisfaction to use mobile banking service whilst system quality was found the most predictive one for the customer’s satisfaction.

This paper empirically identifies the predictors influencing the use of promo code in Jordan. This research extended TAM and TBP models with perceived enjoyment and brand image in the context of digital shopping features. The study utilized 379 surveys distributed in Jordan and analyzed the data using SEM. Findings of this study confirmed the proposed model, where brand image, perceived enjoyment, perceived behavior control and social influence significantly predict customers behavioral intention to use promo code with an R2 = 59%. The model of this study also supported the role of perceived ease of use and social influence in predicting brand image. Discussion and conclusion are depicted at the end of this paper.

Advancement of banking and financial investment has led to the rapid expansion of services automation. The consistent increase of Artificial Intelligence (AI) usage in investment management implies the impending popularity of technology-based service. This study examined influencer endorsement and perceived security benefits as moderators to the relationship between perceived risk and financial AI services. Questionnaires were disseminated to 300 respondents who were customers with experience of using financial AI services in Jordan, and they were chosen through purposive sampling method. Structural equation modeling run using Smart-partial least squares (PLS 3.3.6) was employed in analyzing the data obtained from 220 completed questionnaires. The results show that perceived risk negatively affects financial AI services, while influencer endorsement and perceived security moderate the relationship between perceived risk and financial AI services. This study provides insight to companies on how to reduce perceived risk to encourage people to use business intelligence applications, as in the use of financial technology services.

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.

In recent times, there has been a significant decline in hotel occupancy rates, and this is primarily due to marketing performance. Hoteliers and the decision-makers are thus seeking new strategies to increase occupancy rates by enhancing marketing performance. The present work examined the relationship between customer relationship management performance and marketing performance by considering the moderating role of social customer relationship management on this relationship. In this work, both the “Resource-Based View Theory” and “Social Exchange Theory” were employed. Data from hotel managers in Jordan were collected, with 139 responses being collected and analyzed altogether. “Smart Partial Least Squares” were used for the analysis process, which showed that customer relationship management performance positively impacted marketing performance, and that Social customer relationship management also had a positive effect on marketing performance. Moreover, the relationship between customer relationship management performance and marketing performance is enhanced through social customer relationship management. These findings can be used by hoteliers to develop effective marketing strategies using new technology and communication tools.

Although there have been unprecedented advances in technology worldwide, it is challenging for businesses and marketers to develop novel strategies of attracting consumers because the latter’s online shopping intentions have not changed according to the technological advances. Given these considerations, the present paper investigated how online shopping intention was influenced by website design and online reviews, how the relationship between website design and online shopping intention was moderated by online reviews, and how the relationship between online reviews and online shopping intention was moderated by digital coupon sales promotion. To that end, the paper drew on the theoretical framework of the Unified Theory of Acceptance and Use of Technology. A sample of consumers from Jordan was used for data collection, with Smart Partial Least Squares being employed for the analysis of the 225 responses received. Based on the findings, online shopping intention was favorably influenced by website design and by online reviews, while the relationship between website design and online shopping intention was moderated by online reviews. Likewise, the relationship between online reviews and online shopping intention was moderated by digital coupon sales promotion. Digital marketing agencies can use such findings to develop a marketing strategy targeting young adult consumers in Jordan.

This research paper aims to investigate the effect of Internet of Things (IoT) on Search Engine Optimization (SEO) by considering the mediating role of user behavior on this effect. A conceptual research model was developed in accordance with the UTAUT and based on a thorough analysis of extant research. A self-handled questionnaire survey was administered to a purposely selected sample of employees working in telecommunications companies in Jordan. A dataset of 131 usable questionnaires were subjected to data analysis using SmartPLS 3.0. The main findings showed that IoT affected SEO and user behavior. User behavior was also found to be significantly predicted by IoT and to mediate its effect on SEO. The results revealed the significance of SEO as an emerging effective electronic marketing tool in encouraging consumers' adoption of new technologies. The paper ends with a discussion of findings, conclusions, and areas for future research.