Solved and unsolved problems in number theory
Solved and unsolved problems in number theory
Unifying the fragmented models of information systems implementation
Critical issues in information systems research
Information technology diffusion: a review of empirical research
ICIS '92 Proceedings of the thirteenth international conference on Information systems
Software process improvement: innovation and diffusion
Information systems innovation and diffusion
Dynamic price elasticity and the diffusion of mainframe computing
Journal of Management Information Systems - Special section: Strategic and competitive information systems
A structural model for CASE adoption behavior
Journal of Management Information Systems - Special section: Strategic and competitive information systems
Affective reward and the adoption of group support systems: productivity is not always enough
Journal of Management Information Systems - Special section: Information technology and its organizational impact
Implementation of electronic data interchange: an innovation diffusion perspective
Journal of Management Information Systems - Special section: Strategic and competitive information systems
Journal of Management Information Systems - Special section: Realizing value from information technology investment
Evolution of Prices in Electronic Markets Under Diffusion of Price-Comparison Shopping
Journal of Management Information Systems
Investigating Determinants of Software Developers' Intentions to Follow Methodologies
Journal of Management Information Systems
The Impact of ERP Implementation on Business Process Outcomes: A Factor-Based Study
Journal of Management Information Systems
New Product Diffusion with Influentials and Imitators
Marketing Science
Wired for Innovation: How Information Technology is Reshaping the Economy
Wired for Innovation: How Information Technology is Reshaping the Economy
Innovating mindfully with information technology
MIS Quarterly
Measuring Information Diffusion in an Online Community
Journal of Management Information Systems
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Information technology (IT) innovations follow a diverse set of diffusion patterns. Early diffusion models explaining technology diffusion patterns assumed that there is a single homogeneous segment of potential adopters. It was later shown that a two-segment model considering two groups of adopters explains variations in diffusion patterns better than the existing one-segment models. While the two-segment model considers a group of adopters promoting adoption by exerting a positive influence on prospective adopters, it does not consider the members of society who aim to inhibit the adoption process by exerting a negative influence on prospective adopters. In fact, most IT innovations face opposition. Yet it is not clear how opposition affects the diffusion process. In this paper, we model the diffusion of an IT innovation through its target population with three types of actors: influentials, who are autonomous in adopting new technology and promote its adoption; opponents, who are opposed to the technology and inhibit its adoption; and imitators, who are information seekers, thus affected by both influentials and opponents. We show that opponents play a crucial role in determining the diffusion path of an innovation. The empirical tests using real as well as simulated data sets demonstrate the ability of our model to fit the data better and to identify the segments of adopters correctly.