Enhancing collaboration through idea-level granularity: from information sharing across security levels to collaborative learning
Nosek, John T.
Karlsruher Institut für Technologie (KIT)
This paper proposes that idea-level granularity is an innovative design construct that has the potential to extend the boundaries of a range of human and organizational capabilities. Two examples are provided of how technology based on idea-level granularity versus document-level granularity can broadly transform collaborative work. Organizational success will depend on enabling sufficient information sharing across teams and organizations while preserving essential confidentiality and integrity. This paper explores the problems of producing and consuming information at different levels of classification and presents how technology based on idea-level granularity can overcome these problems. Collaborative learning works; but, instructors are frustrated in assessing individual contributions, students complain about freeloading, and worst, freeloaders may fail to learn. Over two years, technology based on idea-level granularity was used to mitigate these flaws by allowing individual contributions within collaborative work to be identified, tracked, and analyzed. Students liked the ability of the instructor to monitor contributions; do not like overwriting other’s work, nor other’s overwriting their work; and most importantly, enjoyed a more positive group experience than in prior classes.
Collaboration technology , Architecture , Collaboration , Secure knowledge sharing , Collaborative learning , Idea-level granularity
Nosek. J. T. 2017. 'Enhancing Collaboration through Idea-level Granularity: from Information Sharing Across Security Levels to Collaborative Learning'. In: Maedche, A., vom Brocke, J., Hevner, A. (eds.) Designing the Digital Transformation: DESRIST 2017 Research in Progress Proceedings of the 12th International Conference on Design Science Research in Information Systems and Technology. Karlsruhe, Germany. 30 May - 1 Jun. Karslruhe: Karlsruher Institut für Technologie (KIT), pp. 154-162