Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Privacy in the global e-village
Communications of the ACM - Information cities
An extension of the technology acceptance model in an ERP implementation environment
Information and Management
Queue - RFID
Mobile payment implementation: a reference framework
International Journal of Business Information Systems
Exploring m-commerce in terms of viability, growth and challenges
International Journal of Mobile Communications
The future of digital music sales among web-enabled professionals: an empirical investigation
International Journal of Business Information Systems
String analysis technique for shopping path in a supermarket
Journal of Intelligent Information Systems
Combining RFID technology with social media marketing - a value network analysis
International Journal of Business Information Systems
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Automated identification services such as RFID and self-serve checkouts that require many different technological components in order to successfully operate and be accepted in a B2C (Business-to-Customer) environment. In theory, using self-checkouts as a proxy for RFID applications allows for an investigation of potential consumers' acceptance of self-service technology to be determined when applied to a retail environment. In terms of factor analysis results, three independent constructs were found from the interval Likert-type and binary discrete variables from the questionnaire data. The three major constructs that were generated from the factor loadings, renamed based on the variables that loaded with loadings equal to greater than 0.5, included: positive experience, privacy and demographics, and acceptability of technology. The independent constructs of positive experience (t = 6.296, p = 0.000) and acceptability of technology (t = 2.478, p = 0.016) were the most important factors in predicting the frequency of use of such automated technologies in a retail grocery setting.