No 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.

The primary objective of this article is to present the findings of an experimental study on the use of a human-like “naturalistic” avatar (of both genders) for information presentations. The primary goal is to investigate how users' frame of mind, purchasing behavior, and satisfaction are affected by being presented with information by a naturalistic avatar that lacks expressive capabilities. Two different types of information presentations were developed and empirically tested on 48 participants, namely: (i) two dimensional static graphical and textual information presentation and (ii) non-expressive naturalistic avatar. For this comparative research study, a simplified version of the user experience model that was used in our earlier research (the EUX-DM) was selected to serve as the measurement model. Participants' perceived values of the measured qualities were found to be independent of both their own and the naturalistic avatar's gender, and the non-expressive avatar had a positive effect and a stronger encouragement on participants' intention to purchase, usage attitude, and satisfaction than other types of information presentations.

Many public health organizations worldwide have used E-auctions to monitor, curtail, and improve the transmission of new coronavirus illnesses. However, user population size and acceptance of these technologies significantly impact their effectiveness. The current study’s goal was to determine what factors influence customers’ intent to use COVID-19 E-auctions by employing the Technology Acceptance Model (TAM) to the Jordanian setting. This study empirically assessed 310 Jordanian respondents using a quantitative approach known as Structural Equation Modeling (SEM). The research findings supported the majority of the proposed hypotheses, showing that behavioral intentions to use electronic bidding are highly influenced by perceived usability, perceived usefulness, trust in the government, social influence, and awareness. This research paper eventually contributes to the field of technology acceptance by developing a context-driven approach to the key pandemic components and features that influence different practices of technology acceptance.