Knowing What We Know: Supporting Knowledge Creation and Sharing in Social Networks

By Rob Cross, Andrew Parker, L. Prusak, Stephen P. Borgatti. 2001

1,038 citations recorded by the source corpus.

Subfields: Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/45d0cac46b921f9c8d4fe7c1deb690c21ece2c69

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In Sociology and Political Science

Citations in the corpus

Link prediction using supervised learning (2006, background): “In general, link prediction provides a measure of social proximity between two vertices in a social group, which, if known, can be used to optimize an objective function over the entire group, especially in the domain of collaborative filtering [23], Knowledge Management Systems [8], etc.”
The Law of the Few (2010, methodology): “Πi(si, s−i) ≥ Πi(si, s−i).(11) This means that our methods of analysis and our findings regarding equilibrium outcomes under payoffs given by (1) will carry over to an alternative model, where link formation costs are transfers made by link forming individuals to link receiving individuals.”
The Impact of Social Capital on the Start-ups’ Performance Growth (2010, background): “At the same time, institutional changes may rupture social ties, causing a high instability, since the managing network relationships may not translate well to other modes of exchange (Mu, Peng, and Love 2008; Cross et al. 2001).”
The Use of Enterprise Social Network Sites for Knowledge Sharing in Distributed Organizations (2015, background): “Social networks within an organization are a well-studied organizational feature (Burkhardt & Brass, 1990; Lincoln & Miller, 1979), affecting work produced by teams (Cross et al., 2001; Hansen, Mors, & Lovås, 2005; Tsai, 2001) and well as organizational growth over time (Weber, 2012).”
Evidence for the network perspective on organizational learning (2008, background): “De Geus (1988), one of the early researchers in the field of organizational learning, stated that the ability to learn faster than your competitors may be the only sustainable competitive advantage.”
‘I’m busy (and competitive)!’ Antecedents of knowledge sharing under pressure (2014, background): “Knowledge sharing allows workers to solve increasingly complex and ambiguous problems (Cross et al, 2001), and improves decision making at an individual and organizational level (Voelpel et al, 2005).”
A Relational View of Information Seeking and Learning in Social Networks (2003, result): “This explanation is consistent with the finding in Cross et al. (2001a) that dyadic trust matters in problem-framing interactions but not for simple information exchange.”