Thinklets as building blocks for collaboration processes: A further conceptualization

Gwendolyn L. Kolfschoten, Robert O. Briggs, Jaco H. Appelman, Gert Jan De Vreede

Research output: Chapter in Book/Report/Conference proceedingChapter

35 Scopus citations

Abstract

In the past decade, there has been a steady increase in the importance of collaboration to value creation in organizations, which has given rise to a new research field. Collaboration Engineering aims to model, design, and deploy repeatable collaboration processes to be executed by practitioners themsleves of high-value recurring collaborative tasks. Thus the aim of collaboration engineering is to create ready made designs for group processes. A key concept in Collaboration Engineering is a thinkLet - a codified facilitation intervention in a group process to create a desired pattern of collaboration. This paper presents an analysis of the thinkLet concept and possible thinkLet classification schemes to support collaboration engineers in effectively designing collaboration processes.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsGert-Jan de Vreede, Luis A. Guerrero, Gabriela Marin Raventos
PublisherSpringer Verlag
Pages137-152
Number of pages16
ISBN (Print)9783540230168
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3198
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Kolfschoten, G. L., Briggs, R. O., Appelman, J. H., & De Vreede, G. J. (2004). Thinklets as building blocks for collaboration processes: A further conceptualization. In G-J. de Vreede, L. A. Guerrero, & G. M. Raventos (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 137-152). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3198). Springer Verlag. https://doi.org/10.1007/978-3-540-30112-7_12