Name
Title | ||
|---|---|---|
The Economics of Social Computing:, Some Preliminary Findings on Healthcare Organizations |
Abstract | ||
|---|---|---|
Large-scale organizations have used social computing platforms for various purposes. This research focuses on how hospitals utilize these platforms to attract potential customers (which represents the “extensivity” of a social computing platform) and generate interests in specific topics (which represents the “intensivity” of a platform). Specifically, we examine the effects of size of a hospital (or “size”) and the time that the social computing platform has been in existence (or “time”) on extensivity and intensivity. Our findings show that time is a significant variable on both dimensions; whereas size affects intensivity under certain conditions. We discuss the implications of these findings, and set the stage for future research. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.jocs.2011.06.001 | Journal of Computational Science |
Keywords | Field | DocType |
Information economics,Health information technology,Social computing,Data envelopment analysis,Adoption effectiveness | Data science,Health care,Computer science,Information economics,Health information technology,Theoretical computer science,Data envelopment analysis,Social computing,Management science | Journal |
Volume | Issue | ISSN |
2 | 3 | 1877-7503 |
Citations | PageRank | References |
3 | 0.43 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ricky Leung | 1 | 5 | 1.19 |
| Kalyan S. Pasupathy | 2 | 21 | 9.19 |