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The economy of collective attention for situated knowledge collaboration in software development

Published: 13 May 2008 Publication History

Abstract

Because the knowledge required for the construction of a complex software system is often widely distributed among its members, programmers routinely engage in collaboration with each other to acquire knowledge resided in the heads of their peers to accomplish their own programming tasks. We call this kind of collaboration situated knowledge collaboration. Situated knowledge collaboration comes with costs and the costs vary depending on the communication mechanism used. To understand the cost-benefit structure of different communication mechanisms in support of situated knowledge collaboration, we propose the conceptual framework of collective attention economy. The analytic power of the conceptual framework is illustrated in the comparison of two communication mechanisms.

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Cited By

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  • (2014)Community Discovery for Knowledge Collaborations in Collective intelligence SystemsJournal of Information Processing10.2197/ipsjjip.22.24322:2(243-252)Online publication date: 2014
  • (2013)Regulated Software Development – An Onerous TransformationFoundations of Health Information Engineering and Systems10.1007/978-3-642-39088-3_5(72-86)Online publication date: 2013

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cover image ACM Conferences
CHASE '08: Proceedings of the 2008 international workshop on Cooperative and human aspects of software engineering
May 2008
120 pages
ISBN:9781605580395
DOI:10.1145/1370114
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 13 May 2008

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  1. collective attention economy
  2. situated knowledge collaboration

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CHASE '08 Paper Acceptance Rate 28 of 34 submissions, 82%;
Overall Acceptance Rate 47 of 70 submissions, 67%

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Cited By

View all
  • (2014)Community Discovery for Knowledge Collaborations in Collective intelligence SystemsJournal of Information Processing10.2197/ipsjjip.22.24322:2(243-252)Online publication date: 2014
  • (2013)Regulated Software Development – An Onerous TransformationFoundations of Health Information Engineering and Systems10.1007/978-3-642-39088-3_5(72-86)Online publication date: 2013

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