User perceptions of decision support system restrictiveness: an experiment
Journal of Management Information Systems - Special Issue: Decision Support and Knowledge-based Systems
Winners, Losers & Microsoft; Competition and Antitrust in High Technology
Winners, Losers & Microsoft; Competition and Antitrust in High Technology
Why do people use information technology?: a critical review of the technology acceptance model
Information and Management
A meta-analysis of the technology acceptance model
Information and Management
Reconceptualizing System Usage: An Approach and Empirical Test
Information Systems Research
International Journal of Information Management: The Journal for Information Professionals
Intra-organizational relationships and technology acceptance
International Journal of Information Management: The Journal for Information Professionals
The acceptance and use of a business-to-business information system
International Journal of Information Management: The Journal for Information Professionals
Towards an understanding of the behavioural intention to use a web site
International Journal of Information Management: The Journal for Information Professionals
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This research analyzes network effects in technology acceptance. The hypothesis is that the size of the user network affects technology acceptance. Even today, empirical measurement of network effects is challenging and there is a lack of experimental evidence. In order to investigate and measure the relationship between network size (number of adopters) and user acceptance, technology acceptance research needs to broaden its scope and approaches. To overcome this limitation we reproduce a particular type of technology acceptance process in a laboratory experiment, controlling for user network size and testing its influence on user perceptions and, ultimately, on acceptance decisions. We measured user perceptions and analyzed the data using consolidated and tested technology acceptance models. The results confirm our hypothesis, showing a significant effect of user network size on user perceptions. Finally, we discuss the theoretical and managerial implications of our approach and findings.