Antecedents of Intention to Use E-Auction: An Empirical Study
Ra’ed Masa’deh (),
Dmaithan A. AlMajali,
Abdullah A. M. AlSokkar,
Mohammad Alshinwan and
Maha Shehadeh
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Ra’ed Masa’deh: Department of Management Information Systems, School of Business, The University of Jordan, Amman 11972, Jordan
Dmaithan A. AlMajali: Faculty of Business, Applied Science Private University, Amman 11931, Jordan
Abdullah A. M. AlSokkar: Faculty of Business, Applied Science Private University, Amman 11931, Jordan
Mohammad Alshinwan: Faculty of Information Technology, Applied Science Private University, Amman 11931, Jordan
Maha Shehadeh: Faculty of Business, Applied Science Private University, Amman 11931, Jordan
Sustainability, 2023, vol. 15, issue 6, 1-11
Abstract:
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.
Keywords: E-auction; social influence; trust in government; perceived ease of use; perceived usefulness; awareness; Jordan (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:15:y:2023:i:6:p:4871-:d:1092252
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