Empirical evaluation of the revised technology acceptance model
Management Science
Why do people use information technology?: a critical review of the technology acceptance model
Information and Management
Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services
Information Systems Research
The four incremental steps toward advanced mobile service adoption
Communications of the ACM - Smart business networks
The characteristics of mobile data service users in Australia
International Journal of Mobile Communications
Exploring the impact of handset upgrades on mobile content and service usage
International Journal of Mobile Communications
Mobile information access in the real world: A story of three wireless devices
Computers in Human Behavior
Investigating mobile wireless technology adoption: An extension of the technology acceptance model
Information Systems Frontiers
Analysis of users and non-users of smartphone applications
Telematics and Informatics
Does the technology acceptance model predict actual use? A systematic literature review
Information and Software Technology
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
The effects of screen-size and communication modality on psychology of mobile device users
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Determinants of self-report and system-captured measures of mobile Internet use intensity
Information Systems Frontiers
Mobile internet, internet on mobiles or just internet you access with variety of devices?
Proceedings of the 23rd Australian Computer-Human Interaction Conference
An Empirical Assessment of Technology Adoption as a Choice between Alternatives
Information Resources Management Journal
An attitude-based latent class segmentation analysis of mobile phone users
Telematics and Informatics
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Prior research on adopters of ubiquitous Internet access via cellular radio infrastructures of mobile network operators (MNO) has primarily focused on consumers equipped with enhanced web-enabled phones. In contrast, this work investigates personal characteristics and mobile Internet (MI) use behaviors of consumers who chose computer-centric appliance types for MI access. Two variants of tablet PCs (Apple's iPad1 and iPad2) and laptops are distinguished as computer-centric communication device categories. Data on two demographic variables, three MNO relationship characteristics and actual MI use intensity (average monthly volume of mobile IP traffic generated by a subscriber in May and June 2011) of 2001 consumers with a flat MI pricing scheme were extracted from customer files of the German subsidiary of a large international MNO. 1371, 367 and 263 of the sample members used an iPad1, an iPad2 and a laptop, respectively for MI access. Compared to the adult population in Germany, persons aged between 17 and 35years and males are overrepresented among MI adopters with the three studied device types. MI use intensity is highly positively skewed: in each of the three appliance groups, a small number of users disproportionately contributes to the total MI traffic generated by the subjects. MI use intensity is the main variable discriminating between Apple tablet versus laptop MI subscribers. On average, laptop users generate three times more MI traffic than iPad customers. MI use intensity does not differ significantly between iPad1 and iPad2 customers. Age and length of business relationship with the collaborating MNO are the two only studied personal characteristics, which consistently display a significant (negative) association with MI use intensity across the three appliance groups. Conclusions are drawn for MNO on aligning marketing measures to the peculiarities of users with different types of computer-centric MI devices and for scholarly research seeking to enhance the understanding of the influence of various appliance categories on MI adoption and use behaviors.