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Factors Affecting Acceptance of E-marketplace Based On Hybrid Model of Modified TAM-TRI
Factors Affecting Acceptance of E-marketplace Based On Hybrid Model of Modified TAM-TRI
In challenging COVID-19, the tourism sector must conduct digitization due to fulfill “less contact economy” development program. In this pandemic situation, the government of Nusa Dua Bali develops Business Process Reengineering (BPR) of Tourism Activities E-marketplace that involving local entrepreneurs as the user. This paper objective was to determine the factors that were affecting the acceptance of e-marketplace with case study local tourism entrepreneurs in Nusa Dua Bali. The TARIM model used in this research was a modified model of conventional Technology Acceptance Model - Technology Readiness Index (TAM-TRI) model by inserting the Technology Availability and Computer Self Efficacy into the model. The analysis technique used in this research was the Structural Equation Model Using Partial Least Square method. Results showed that the Readiness factor had a significant direct impact on the Acceptance of e-marketplace. While the significant indirect effects were given by Technology Availability and Perceived Usefulness factors.
Microsoft Academic Graph classification: Self-efficacy Government Index (economics) Process management Technology acceptance model Business Business process reengineering Structural equation modeling Tourism Digitization
Microsoft Academic Graph classification: Self-efficacy Government Index (economics) Process management Technology acceptance model Business Business process reengineering Structural equation modeling Tourism Digitization
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Popularity provided by BIP!In challenging COVID-19, the tourism sector must conduct digitization due to fulfill “less contact economy” development program. In this pandemic situation, the government of Nusa Dua Bali develops Business Process Reengineering (BPR) of Tourism Activities E-marketplace that involving local entrepreneurs as the user. This paper objective was to determine the factors that were affecting the acceptance of e-marketplace with case study local tourism entrepreneurs in Nusa Dua Bali. The TARIM model used in this research was a modified model of conventional Technology Acceptance Model - Technology Readiness Index (TAM-TRI) model by inserting the Technology Availability and Computer Self Efficacy into the model. The analysis technique used in this research was the Structural Equation Model Using Partial Least Square method. Results showed that the Readiness factor had a significant direct impact on the Acceptance of e-marketplace. While the significant indirect effects were given by Technology Availability and Perceived Usefulness factors.