Mixed methods analysis of enterprise social networks

Behrendt, Sebastian; Richter, Alexander; Trier, Matthias

doi:10.1016/j.comnet.2014.08.025

Cited by 73 publications

(53 citation statements)

References 53 publications

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“…Social profiles, which contain all information about a person including role, expertise and contact information, form the basis of an ESN. The links between the users are established with the help of software features such as "invite to my network", "follow" and "share content" [2], [14].…”

Section: Literature Review and Definition Of Termsmentioning

confidence: 99%

“…Graphs can be used to analyze and visualize structural data. Behrendt et al [14] postulate that structural data can be exported easily from the systems, however, they note that the analysis is challenging. Experiences are reported data by users.…”

Section: 11mentioning

confidence: 99%

“…Reported data can be gathered by means of interviews or questionnaires. Behrendt et al [14] observe that a huge effort and resources are required for the collection of such information. Content analysis can then be applied to analyze the reported data.…”

Section: 11mentioning

confidence: 99%

“…However, the authors do not specify a process that describes how to develop queries or how to conduct a log file analysis. Similar to Behrendt et al [14] they mention that user interviews and user surveys can be conducted to gather additional information. Suggested metrics for user interviews are for example the usage behavior and review of the used tool.…”

Section: 11mentioning

confidence: 99%

“…Literature Review Behrendt et al [14] identify four data dimensions for the analysis of ESN: (1) activities, (2) content, (3) relations and (4) experiences. The authors describe the first dimension, activities, as usage data.…”

Section: 11mentioning

confidence: 99%

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Social Collaboration Analytics for Enterprise Collaboration Systems: Providing Business Intelligence on Collaboration Activities

Schwade¹,

Schubert²

2017

Proceedings of the Annual Hawaii International Conference on System Sciences

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Section: Literature Review and Definition Of Termsmentioning

confidence: 99%

Section: 11mentioning

confidence: 99%

Section: 11mentioning

confidence: 99%

Section: 11mentioning

confidence: 99%

Section: 11mentioning

confidence: 99%

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Social Collaboration Analytics for Enterprise Collaboration Systems: Providing Business Intelligence on Collaboration Activities

Schwade¹,

Schubert²

2017

Proceedings of the Annual Hawaii International Conference on System Sciences

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Social informatics of information value cocreation: A case study of xiaomi's online user community

Pee

Pan

et al. 2019

Asso for Info Science & Tech

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The perennial issue of information value creation needs to be understood in the contemporary era of a more networked user environment enabled by information technology (IT). This mixed‐methods study investigates information value cocreation from the social informatics perspective to surface sociotechnical implications for IT design and use, since cocreation is inherently social and technology‐mediated. Specifically, the cocreation of software as an information‐intensive product is examined. Data on the cocreation of Xiaomi's MIUI firmware were collected from two sources: 49 interviews of staff and user participants and web crawling of the cocreation platform. They were analyzed with interpretive analysis, topic modeling, and social network analysis for triangulation. Findings indicate three sociotechnical information practices co‐constituted by information, IT, people, and their activities. Each practice is instrumental in rapidly and continuously converting external information into cocreated information value. The adsorption information practice attracts new and diverse external information; the absorption practice integrates external and internal information rapidly by involving users; the desorption practice allows rapid adoption of the cocreated product so that information value can be realized and demonstrated for further cocreation. Critically analyzing these practices reveals unanticipated or paradoxical issues affecting the design and use of common cocreation technology such as discussion forums.

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Commute Green! The Potential of Enterprise Social Networks for Ecological Mobility Concepts

Zinke-Wehlmann¹,

Friedrich²

2019

Collaborative Networks and Digital Transformation

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The paper discusses the potential of collaborative networks (CN) to support eco-friendly commuting and create ecological benefits. It therefore develops framework conditions within the concept of social business. The objective is to show up solutions to reduce air pollution, frustration, stress caused by rush hour traffic related to the inflexible working hours. Therefore, relevant social business framework conditions to support eco-friendly behavior have been identified. As a result, the paper shows how social business can combine digitally driven empowerment of workers and corporate responsibility for human and environment. It points out the potential for ecological as well as for social benefits.

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Mixed methods analysis of enterprise social networks

Cited by 73 publications

References 53 publications

Social Collaboration Analytics for Enterprise Collaboration Systems: Providing Business Intelligence on Collaboration Activities

Social Collaboration Analytics for Enterprise Collaboration Systems: Providing Business Intelligence on Collaboration Activities

Social informatics of information value cocreation: A case study of xiaomi's online user community

Commute Green! The Potential of Enterprise Social Networks for Ecological Mobility Concepts

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