The Contradictory Influence of Social Media Affordances on Online Communal Knowledge Sharing

By Ann Majchrzak, Samer Faraj, Gerald C. Kane, Bijan Azad. J. Comput. Mediat. Commun., 2013

860 citations recorded by the source corpus.

Subfields: Communication, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/78381c6b1da668c28854b03b2db345169d6ccc86

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Citations in the corpus

Explicating Affordances: A Conceptual Framework for Understanding Affordances in Communication Research (2017, background): “Majchrzak et al. (2013) discuss how social media technologies can provide users with alerts informing them of changes in content.”
Understanding the consequences of public social media use for work (2017, background): “However, these studies are predominantly concerned with enterprise social media (e.g., Ellison, Gibbs, & Weber, 2015; Majchrzak et al., 2013), largely ignoring the use of prominent public counterparts, such as Facebook, LinkedIn and Twitter, in organizational contexts (Van Zoonen, Verhoeven,& Vliege”
Social Media and Their Affordances for Organizing: A Review and Agenda for Research (2017, neutral): “communication patterns shapes relationships within organizations (Majchrzak et al., 2013).”
Communicative Affordances of Mobile Media: Portability, Availability, Locatability, and Multimediality (2015, methodology): “A communicative affordances framework builds on recent work that applied affordances theory to describe how technologies such as social media (Majchrzak et al., 2013; Treem & Leonardi, 2012) and social network sites (boyd, 2010) alter communication.”
The digital transformation of innovation and entrepreneurship: Progress, challenges and key themes (2019, background): “Different types of digital affordances might operate or assume relevance at different levels—for example, affordances associated with social media may hold implications for different types of actors (individuals, organizations, and communities) in different innovation (use) contexts (e.g., Cabiddu e”
Ambient Awareness and Knowledge Acquisition: Using Social Media to Learn "Who Knows What" and "Who Knows Whom" (2015, background): “…through which dyadic communication can be seen, stored, and added to by anyone in the organization, thereby making it possible for third-parties to learn vicariously from the communication occurring amongst their colleagues (Kane et al. 2014; Majchrzak et al. 2013; Treem and Leonardi 2012).”
Digital Entrepreneurship: Toward a Digital Technology Perspective of Entrepreneurship (2017, background): “For example, recent studies on digital innovation (e.g., Huang et al., in press; Majchrzak et al., 2013; Svahn, Mathiassen, & Lindgren, in press) show how these and other concepts can be operationalized and incorporated in rigorous empirical work.”
Social media for knowledge-sharing: A systematic literature review (2018, methodology): “For example, IBM employs social media tools (such as social networks), as tools for knowledge sharing between its 400,000 employees, thereby helping enhance their collaboration and innovation (Majchrzak et al., 2013).”
Digital Innovation Management: Reinventing Innovation Management Research in a Digital World (2017, background): “IS scholars have also been increasingly focused on the materiality of digitization within innovation processes and outcomes (e.g., Boland et al. 2007; Lee and Berente 2012; Majchrzak et al. 2013).”
What factors influence knowledge sharing in organizations? A social dilemma perspective of social media communication (2016, background): “Social media facilitates a “shift from online knowledge sharing to continuous online communal knowledge conversations” (Majchrzak et al. 2013).”
Technology, Humanness, and Trust: Rethinking Trust in Technology (2015, background): “Affordances for sociality can affect socialization, knowledge sharing, and power processes in organizations (Majchrzak et al., 2013; Treem & Leonardi, 2012).”
Social networking, knowledge sharing, and student learning: The case of university students (2016, background): “According to Majchrzak et al. (2013), the application of critical mass theory (Oliver & Marwell, 2001), can explain how metavoicing helps an online knowledge conversation to be more productive.”
The Use of Enterprise Social Network Sites for Knowledge Sharing in Distributed Organizations (2015, background): “…as well as engagement because employees can monitor ongoing discussions quickly and limit their attention and engagement through sporadic “triggered attending” in which they rely on automatic notifications to limit their engagement to conversations of interest or relevance (Majchrzak et al., 2013).”