Digital divide, trust towards e-commerce system, and facilitating conditions as the factors impacting the use intention of the international trade center were examined in this study, through a survey carried out on 500 Jordanian students. The proposed conceptual model was empirically tested, and significant impact of trust and facilitating conditions on intention to use the international trade center was affirmed. Meanwhile, the digital divide did not impact the intention to use the international trade center. Being limited to the Jordanian context, the study findings may not be generalizable to other countries.

Social media influencers have proved to be a major influence on customers’ purchasing decisions, especially with the increased usage of social media platforms. Social media influencers provide many opportunities for companies to increase their customer base and sales, and to enhance the attitude towards a brand. Despite the advantages of utilizing social media influencers, there are factors that social influencers need to take into consideration in order to engage customers and influence their decisions to purchase. The purpose of this study is to examine the factors that influence customers’ intention to purchase based on social media influencers. An online questionnaire was used to collect data from 439 Instagram platform users. A partial least square-SEM (PLS-SEM) approach was used to analyze and examine the proposed model. The results indicate that all constructs, namely Information Quality (IQ), Trustworthiness (TRU), Attractiveness (ATT), Meaning Transfer (TRA) and Expertise (EXP) significantly influence customers’ purchase intentions. This finding could provide insights for companies’ decision-makers when it comes to promoting their brands and increasing their sales. In addition, it could provide insights for social media influencers in terms of recognizing the important factors that encourage customers to engage and purchase.

The current research main purpose is to examine the effect of digital marketing on both value creation and customer satisfaction. The literature was reviewed for the relevant existing studies to address the knowledge gap that has not been fulfilled before by a proposed integrative model. A quantitative research approach was used in this study to investigate the hypothesized proposed model with a survey questionnaire to collect data from the sample of customers of telecommunication firms operating in Jordan. The instrument was developed and customized to achieve the research objectives. With a total of 315 valid and complete returned questionnaires, the research has analyzed the data collected by using the PLS-SEM approach to run the essential analysis procedures and test the hypothesized statements. The results showed a significant and positive effect of digital marketing on both value creation and customer satisfaction. The research would contribute to providing more understanding of the issues related to this topic and filling research gaps and provide some new knowledgeable and theoretical research implications.

This study aims to provide comprehensive insights into the social media marketing characteristics affecting customer buying intention. The model was theoretically based on and explored using a quantitative approach. A survey strategy was adopted, and a five-point Likert questionnaire was distributed to Jordanian citizens. A total of 237 responses were received. The hypothesis testing followed structural equation modeling using SPSS software. The findings suggest that all social media marketing subcontracts exhibit a significant positive effect on buying intention, whereby accessibility is the highest. Customer involvement also moderates the relationship between social media marketing and customer buying intention. The proposed model provides new insights into social media marketing drivers affecting buying intentions and engagement with an entrepreneurial brand or product. This study reaffirms that social media marketing can significantly influence the success of Jordanian entrepreneurial firms and understanding how to use this tool effectively can significantly change how businesses operate.

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.

The aim of this study is to validate the effects of three selected major drivers; namely technological, marketing, and behavioral on online food delivery orientation. A conceptual framework is developed based on the three selected major drivers from the previous studies. To achieve the study objective, a quantitative method, a cross-sectional survey of the users of online food delivery applications, was used and one-hundred and fifty four questionnaires were gathered and analyzed via IBM SPSS and AMOS software. The finding revealed that the model was valid and technological, marketing, and behavioral drivers were found to positively predict online food delivery orientation. Based on the study results, several recommendations were suggested in this study to improve the food delivery.

This study aims at investigating the factors that determine the continuous intention to use smartwatches, one of the most prevalent types of wearable devices. The study extends the expectation confirmation model (ECM) by incorporating other variables (i.e., construct) which capture the unique context of smartwatches continuous usage, namely healthology, perceived aesthetics, habit, and social influence. Hypotheses were assessed using partial least square structural equation modeling (PLS-SEM) approach on data collected from 287 actual smartwatch users. The results reveal that performance expectancy, satisfaction, healthtology, perceived aesthetics and habit significantly influence the continuous usage of smartwatches, while social influence is non-significant. The research model of this study explains 65.7% of the variance in the continuous usage intention of smartwatches. The insights provided by this study suggest fruitful opportunities for future research. They can also help smartwatches companies, developers and marketers with strategies and directions for further development and growth by ensuring users’ continuous usage of smartwatches.

The purpose of the current paper is to identify influential aspects of published literature and future research questions to set forth future research agenda based on comprehensive literature review using bibliometric and content analysis. The study analyzed 1225 documents from the international Scopus database using bibliometric analysis and content analysis. VOSviewer software is used for bibliometric analysis. The analysis revealed that most of the information was derived from the Finance Research Letters. Moreover, the United Kingdom is the most cited country, while Tianjin University in China has the highest publications affiliations. Furthermore, the analysis shows that the keyword analysis of cryptocurrency literature had four classes of research streams in cryptocurrency, namely, cryptocurrency, Blockchain, Fintech, and currency, representing the most upcoming trends. The present study makes a significant contribution to the literature by providing a framework for future research. The framework provides opportunities to future researchers to explore the web of relations among some identified research streams as future research agenda.

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.

This paper focuses on five-star hotels in Jordan to investigate the impact of influencer marketing on overall brand equity. The mediating role played by brand awareness and customer brand engagement between influencer marketing and overall brand equity is tested. The survey method is employed to conduct this research, and data is collected from 300 respondents. The proposed hypotheses are tested using structural equation modeling. The results indicate that influencer marketing directly influenced overall brand equity, brand awareness and customer brand engagement partially mediate the relationship between influencer marketing and overall brand equity.