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Return On Contribution (ROC): A Metric for Enterprise Social Software

Abstract

The value of enterprise social media applications, components, and users is difficult to quantify in formal economic terms such as Return On Investment. In this work we propose a different approach, based on human service to other humans. We describe a family of metrics, Return On Contribution (ROC), to assist in managing social software systems. ROC focuses on human collaboration, namely the creation and consumption of information and knowledge among employees. We show how ROC can be used to track the performance of several types of social media applications, and how ROC can help to understand the usage patterns of items within those applications, and the performance of employees who use those applications. Design implications include the importance of “lurkers” in organizational knowledge exchange, and specific types of measurements that may be of value to employees, managers, and system administrators.

Description

Muller, Michael J.; Freyne, Jill; Dugan, Casey; Millen, David R.; Thom-Santelli, Jennifer (2009): Return On Contribution (ROC): A Metric for Enterprise Social Software. ECSCW 2009: Proceedings of the 11th European Conference on Computer Supported Cooperative Work. DOI: 10.1007/978-1-84882-854-4_8. Springer, London. ISBN: 978-1-84882-854-4. pp. 143-150. Full Papers. Vienna Austria. 07-11 September 2009

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Number of citations to item: 9

  • Noella Edelmann, Robert Krimmer, Peter Parycek (2017): How online lurking contributes value to E-participation: A conceptual approach to evaluating the role of lurkers in e-participation, In: 2017 Fourth International Conference on eDemocracy & eGovernment (ICEDEG), doi:10.1109/icedeg.2017.7962517
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  • (2017): 知らない他者とのコミュニケーション, In: Japan Marketing Journal 3(36), doi:10.7222/marketing.2017.003
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  • Noella Edelmann (2014): Definitions and Meanings of Online Lurkers, In: Advances in Information Quality and Management, doi:10.4018/978-1-4666-5888-2.ch632
  • Janine Viol Hacker, Freimut Bodendorf, Pascal Lorenz (2016): A Framework to Analyze Enterprise Social Network Data, In: Advances in Business Information Systems and Analytics, doi:10.4018/978-1-5225-0293-7.ch006
  • Shlomo Berkovsky, Jill Freyne, Gregory Smith (2012): Personalized Network Updates: Increasing Social Interactions and Contributions in Social Networks, In: Lecture Notes in Computer Science, doi:10.1007/978-3-642-31454-4_1
  • Noella Edelmann (2013): Reviewing the Definitions of “Lurkers” and Some Implications for Online Research, In: Cyberpsychology, Behavior, and Social Networking 9(16), doi:10.1089/cyber.2012.0362
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