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From Top to Bottom

Investigating the Changing Role of Hierarchy in Enterprise Social Networks

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Abstract

Social media, such as social networking platforms, are increasingly gaining importance in enterprise contexts. Enterprise social networking (ESN) is often associated with improved communication, information-sharing and problem-solving. At the same time, ESN has been argued to diminish the role of formal influence in that users increasingly derive authority from their contributions to the network rather than from their position in the organizational hierarchy. Others argue that ESN will diminish influence considerably by producing more democratic and inclusive communication structures. Yet, these assertions have so far remained largely unexplored empirically. Against this background, we explore what influence both a user’s position in the organization’s hierarchy and a user’s contributions on the network have on the the ability to elicit responses from other ESN users. We draw on a unique data set of more than 110,000 messages collected from the ESN platform used at Deloitte Australia. While we find evidence for both kinds of influence, our data also reveals that informal influence has a stronger effect and that, as the ESN community matures over time, communication structures become indeed more inclusive and balanced across hierarchical levels. We contribute a set of propositions that theorize the ways in which influence and communication pattern are shaped during the process of ESN emergence. Our results further underline the potentials of ESN to improve organic, user-driven communication and knowledge sharing within firms.

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Notes

  1. Please note that in order to avoid any conflict of interest, the case company has asked not to name the particular ESN product that is employed within the company.

  2. The company shared with us a figure that showed a time sequence of events relevant to the adoption, diffusion and use of the ESN within Deloitte. However, we are not at liberty to share this figure.

  3. This is also evident in our data. In period 1, the top 10 users by message volume sent 16.4 % of all messages; in periods 2 and 3 this number falls to 10 %.

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Authors and Affiliations

  1. The University of Sydney Business School, The University of Sydney, Merewether Building H04, Sydney, NSW, 2006, Australia

    Kai Riemer

  2. Department of Computer Science and Applied Cognitive Science, University of Duisburg-Essen, Bismarckstrasse 81, 47057, Duisburg, Germany

    Stefan Stieglitz &  Christian Meske

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  1. Kai Riemer
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  2. Stefan Stieglitz
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  3. Christian Meske
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Correspondence to Stefan Stieglitz.

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Accepted after one revision by the editors of the special issue.

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Riemer, K., Stieglitz, S. & Meske, C. From Top to Bottom. Bus Inf Syst Eng 57, 197–212 (2015). https://doi.org/10.1007/s12599-015-0375-3

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