The economics of social computing: Some preliminary findings on healthcare organizations

Ricky C. Leung, Kalyan S. Pasupathy

Research output: Contribution to journalArticle

14 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)253-261
Number of pages9
JournalJournal of Computational Science
Volume2
Issue number3
DOIs
StatePublished - Aug 1 2011

Keywords

  • Adoption effectiveness
  • Data envelopment analysis
  • Health information technology
  • Information economics
  • Social computing

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)
  • Modeling and Simulation

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