Understanding the structures, antecedents and outcomes of organisational learning and knowledge transfer: a multi-theoretical and multilevel network analysis

Su, Chunke; Huang, Meikuan; Contractor, Noshir

doi:10.1504/ejim.2010.035590

Cited by 32 publications

(32 citation statements)

References 80 publications

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“…Su et al (2010) conclude that proactive information seeking rather than unsolicited information receiving is more appreciated in teamwork. In a follow-up study, Su and Contractor (2011) show that social network connections influence information seeking from databases and human knowledge sources.…”

Section: Interventionsmentioning

confidence: 85%

Social network analysis for technology-enhanced learning: review and future directions

Sie

Ullmann

Rajagopal

et al. 2012

IJTEL

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By nature, learning is social. The interactions by which we learn from others inherently form a network of relationships among people, but also between people and resources. This paper gives an overview of the potential social network analysis (SNA) may have for social learning. It starts with an overview of the history of social learning and how SNA may be of value. The core of the paper outlines the state-of-art of SNA for technology-enhanced R.L.L. Sie et al.learning (TEL), by means of four possible types of SNA applications: visualisation, analysis, simulation, and interventions. In an outlook, future directions of SNA research for TEL are provided.

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Section: Interventionsmentioning

confidence: 85%

Social network analysis for technology-enhanced learning: review and future directions

Sie

Ullmann

Rajagopal

et al. 2012

IJTEL

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“…Citing each other’s publications is a reflection of team members’ growing familiarity with each other’s work and expertise. According to transactive memory research, familiarity enhances team understanding by helping members be more aware of “who knows what” on the team (Hollingshead, 1998; Hollingshead & Contractor, 2002; Moreland, 1999; Su, Huang, & Contractor, 2011; Wegner, 1995) and by helping team builders identify others in a network who have the required expertise (Monge & Contractor, 2003). Therefore, we expect researchers that cite other researchers to easily identify them as possible collaborators in the network:…”

Section: Theoretical Background and Hypothesesmentioning

confidence: 99%

Understanding the assembly of interdisciplinary teams and its impact on performance

Lungeanu

Huang

Contractor

2014

Journal of Informetrics

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Interdisciplinary teams are assembled in scientific research and are aimed at solving complex problems. Given their increasing importance, it is not surprising that considerable attention has been focused on processes of collaboration in interdisciplinary teams. Despite such efforts, we know less about the factors affecting the assembly of such teams in the first place. In this paper, we investigate the structure and the success of interdisciplinary scientific research teams. We examine the assembly factors using a sample of 1,103 grant proposals submitted to two National Science Foundation interdisciplinary initiatives during a 3-year period, including both awarded and non-awarded proposals. The results indicate that individuals’ likelihood of collaboration on a proposal is higher among those with longer tenure, lower institutional tier, lower H-index, and with higher levels of prior co-authorship and citation relationships. However, successful proposals have a little bit different relational patterns: individuals’ likelihood of collaboration is higher among those with lower institutional tier, lower H-index, (female) gender, higher levels of prior co-authorship, but with lower levels of prior citation relationships.

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“…For example, it has been calculated that physicians need to read an average of 19 original articles each day to keep abreast of their fields (Choi, 2005). Unfortunately overload of information leads to ineffective interpretation of messages (Su et al, 2010) and detriments in performance (DeLuca and Atuahene-Gima, 2007). It has been estimated that information overload costs the US economy nearly a trillion dollars in reduced productivity and innovation (Davis, 2011).…”

Section: The Floodmentioning

confidence: 99%

“…This decentralization may result in more effective distribution of critical information (Su et al, 2010). The forms of delegation are many.…”

Section: Delegationmentioning

confidence: 99%

Controlling the flood: when more of a dose is less

Johnson

2014

Journal of Documentation

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Purpose -The purpose of this paper is to explore the flood of information that is inundating us. This flood makes it increasingly difficult to make sense of the world and arrive at the correct interpretation of events. Design/methodology/approach -Classic narrative literature review applying the dosage metaphor to the growing problem of information overload. Findings -The seven elements of dosage -amount, frequency, sequencing, delivery systems, contraindications, interactions, and dysfunctions -are used to discuss four major coping mechanismsescape, attention, delegation, and creative destruction -for dealing with the flood. Each of the coping mechanisms has different entailments for the dosage elements. Originality/value -This essay develops a guiding principle for thinking about how we should cope with this central problem of the information age: suggesting a minimalist approach that offers the hope of clarity in acting in an age that increasingly overwhelms us.

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Understanding the structures, antecedents and outcomes of organisational learning and knowledge transfer: a multi-theoretical and multilevel network analysis

Cited by 32 publications

References 80 publications

Social network analysis for technology-enhanced learning: review and future directions

Social network analysis for technology-enhanced learning: review and future directions

Understanding the assembly of interdisciplinary teams and its impact on performance

Controlling the flood: when more of a dose is less

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