Accelerating the Diffusion of Innovations Using Opinion Leaders
Bibliographic Data
| ID | 5774036 |
|---|---|
| Authors | T W Valente (0000-0002-8824-5816, Johns Hopkins University), Rebecca L Davis (University of Maryland, College Park), Rebecca Davis (0000-0002-8629-3144, University of Maryland, College Park) |
| Year | 1999 |
| Volume | 566 |
| Issue | 1 |
| Pages | 55-67 |
| Publication date | 1999-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The Annals of the American Academy of Political and Social Science (JOURNAL) |
| Journal identifiers | ISSN: 0002-7162 • E-ISSN: 1552-3349 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/0002716299566001005 |
| OpenAlex | W4241739296 |
| Language | EN |
| Citations received | 191 |
| References cited | 29 |
Theory on the diffusion of innovations has been used to study the spread of new ideas and practices for over 50 years in a wide variety of settings. Most studies have been retrospective, and most have neglected to collect information on interpersonal communication networks. In addition, few have attempted to use the lessons from diffusion research to accelerate the diffusion of innovations. This article outlines a method to accelerate the diffusion of innovations using opinion leaders. The authors present their optimal matching procedure and report on computer simulations that show how much faster diffusion occurs when initiated by opinion leaders. Limitations and extensions of the model are discussed
Business · Diffusion · Diffusion of innovations · Diffusion theory · Engineering ethics · Opinion leadership · Physics · Political science · Public relations · Thermodynamics · Complex Network Analysis Techniques · Engineering · ICT Impact and Policies · Innovation Diffusion and Forecasting · Innovative Approaches in Technology and Social Development · Opinion Dynamics and Social Influence · Psychology · Technology Adoption and User Behaviour
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| Unique citing works | 142 |
|---|---|
| Citations per year | 7,64 |
| Citation span | 2001 - 2026 (26) |
| Citation velocity | current |
| Highly cited | Yes |
| Citation types | Neutral: 185 |