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A Dynamic Network Measure of Knowledge Evolution: A Case Study of MIS Quarterly

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Title: A Dynamic Network Measure of Knowledge Evolution: A Case Study of MIS Quarterly
Authors: Li, Jiexun
Chen, Jiyao
Keywords: knowledge evolution
disruptiveness index
citation network
Issue Date: 04 Jan 2017
Abstract: Citation measures are the central metrics to assessing the impact of an article, the viability of research streams, the career success of scholars, as well as the quality and status of journals and academic units. While measuring the magnitude of the future usage, they cannot capture the substantial effects that an article may have on the subsequent use of its predecessors - whether it amplifies or disrupts the existing literature. We embrace that it is imperative to not only assess its impact but also assess how an article reinforces the existing research streams or breaks into a new stream to understand its true effect. Accordingly, we introduce a new, dynamic measure, and conduct a case study using all articles published between 1979-2016 at MIS Quarterly to illustrate the validity of the new measure, and conclude with some future research topics and implications.
Pages/Duration: 10 pages
ISBN: 978-0-9981331-0-2
DOI: 10.24251/HICSS.2017.541
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Appears in Collections:Knowledge Flows, Transfer, Sharing and Exchange Minitrack

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