Antecedents of Intention to Use E-Auction: An Empirical Study

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...

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Bibliographic Details
Published inSustainability Vol. 15; no. 6; p. 4871
Main Authors Masa’deh, Ra’ed, A. AlMajali, Dmaithan, AlSokkar, Abdullah A. M, Alshinwan, Mohammad, Shehadeh, Maha
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.03.2023
Subjects
Auctions
Coronaviruses
COVID-19
Electronic commerce
Epidemics
Hypotheses
Influence
Information technology
Internet
Jordan
Medical research
Multivariate statistical analysis
Online auctions
Pandemics
Population number
Public health
Research methodology
Shopping
Social aspects
Social science research
Sustainable development
Technology
Technology adoption
Trust
User behavior
Jordan
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Summary: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.
ISSN:2071-1050
2071-1050
DOI:10.3390/su15064871