Title
Predicting Consumer Intention to Use Mobile Commerce in Taiwan
Abstract
Advances in wireless technology have increased the number of people using mobile devices and accelerated the rapid development of mobile commerce conducted with these devices. However, while many companies are vying for market share of the new business opportunities offered by wireless technology, research on m-commerce suggests potential consumers may not adopt these mobile systems, in spite of their availability. Based on an assessment of the existing literature regarding the theory of planned behavior and technology acceptance model, the current research presents an integrated model for predicting consumer intention to use m-commerce systems. It does this by adding (1) a trust-related construct ("perceived credibility") and (2) resource-related constructs ("perceived self-efficacy" and "perceived financial resources") to the TAM, with careful attention to placing these constructs in TAMýs existing nomological structure. Data from 258 users in Taiwan tests against the integrated model using the structural equation modeling approach. The results support the integrated model in predicting consumer intention to use m-commerce.
Year
DOI
Venue
2005
10.1109/ICMB.2005.80
ICMB
Keywords
Field
DocType
existing literature,wireless technology,consumer intention,mobile commerce,integrated model,mobile device,current research,predicting consumer intention,technology acceptance model,m-commerce system,mobile system,business,structured data,information systems,theory of planned behavior,market share,testing,electronic commerce,predictive models,planned behavior theory,structural equation model,mobile computing,consumer behaviour,availability,self efficacy,acceleration,educational technology
Mobile computing,Information system,Computer science,Consumer behaviour,Technology acceptance model,Knowledge management,Mobile device,Theory of planned behavior,Market share,Mobile commerce,Marketing
Conference
ISBN
Citations 
PageRank 
0-7695-2367-6
16
0.64
References 
Authors
20
2
Name
Order
Citations
PageRank
Hsin-Hui Lin176730.86
Yi-Shun Wang2179870.08