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Fit between knowledge transfer complexity and media capability: A metaanalysis

  • SUNY Buffalo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This paper develops a knowledge transfer complexity (KTC) framework by synthesizing the various knowledge characteristics into four distinct KTC dimensions including: explicitness, depth, diversity, and rate of knowledge transfer (KT). Based on the notion of fit between knowledge complexity and media capabilities, we ask: which specific KTC dimensions are associated with which particular media capabilities in the context of KT at the individual level? We address this question using a meta-analysis methodology, and consider four key media capabilities in the media synchronicity theory. We examine 162 effect sizes from 70 journal publications and dissertations. Preliminary results provide support for the hypotheses that explicitness of knowledge requires high media parallelism, while depth of knowledge requires a media with high transmission velocity. As hypothesized, diversity of knowledge is associated with reprocessability, and rate of KT is associated with symbol sets, although these correlations are significant only with fail-safe statistic at this stage.

Original languageEnglish
Title of host publicationInternational Conference on Information Systems (ICIS 2013)
Subtitle of host publicationReshaping Society Through Information Systems Design
Pages1670-1680
Number of pages11
StatePublished - 2013
EventInternational Conference on Information Systems, ICIS 2013 - Milan, Italy
Duration: Dec 15 2013Dec 18 2013

Publication series

NameInternational Conference on Information Systems (ICIS 2013): Reshaping Society Through Information Systems Design
Volume2

Conference

ConferenceInternational Conference on Information Systems, ICIS 2013
Country/TerritoryItaly
CityMilan
Period12/15/1312/18/13

Keywords

  • Knowledge transfer complexity
  • Media synchronicity capability
  • Meta-analysis

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