Reuse in the wild: An empirical and ethnographic study of organizational content reuse

Yelena Mejova, Klaar De Schepper, Lawrence Bergman, Jie Lu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

We present a large-scale study of content reuse networks in a large and highly hierarchical organization. In our study, we combine analysis of a collection of presentations produced by employees with interviews conducted throughout the organization and a survey to study presentation content reuse. Study results show a variety of information needs and behaviors related to content reuse as well as a need for a personalized and socially-integrated networking tool for enabling easy access to previously generated presentation material. In this paper we describe our findings and outline a set of requirements for an effective content reuse facility.

Original languageEnglish
Title of host publicationCHI 2011 - 29th Annual CHI Conference on Human Factors in Computing Systems, Conference Proceedings and Extended Abstracts
Pages2877-2886
Number of pages10
DOIs
Publication statusPublished - 13 Jun 2011
Event29th Annual CHI Conference on Human Factors in Computing Systems, CHI 2011 - Vancouver, BC, Canada
Duration: 7 May 201112 May 2011

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Other

Other29th Annual CHI Conference on Human Factors in Computing Systems, CHI 2011
CountryCanada
CityVancouver, BC
Period7/5/1112/5/11

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Keywords

  • Content reuse
  • Data diffusion
  • Social network
  • User study

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

Cite this

Mejova, Y., De Schepper, K., Bergman, L., & Lu, J. (2011). Reuse in the wild: An empirical and ethnographic study of organizational content reuse. In CHI 2011 - 29th Annual CHI Conference on Human Factors in Computing Systems, Conference Proceedings and Extended Abstracts (pp. 2877-2886). (Conference on Human Factors in Computing Systems - Proceedings). https://doi.org/10.1145/1978942.1979370