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Knowledge‐dissemination channels: Analytics of stature evaluation
Author(s) -
Chen Liang,
Holsapple Clyde W.,
Hsiao ShihHui Steven,
Ke Zhihong,
Oh JaeYoung,
Yang Zhiguo
Publication year - 2017
Publication title -
journal of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.903
H-Index - 145
eISSN - 2330-1643
pISSN - 2330-1635
DOI - 10.1002/asi.23725
Subject(s) - channel (broadcasting) , computer science , analytics , personalization , dissemination , attractiveness , data science , knowledge management , telecommunications , world wide web , psychology , psychoanalysis
Understanding relative statures of channels for disseminating knowledge is of practical interest to both generators and consumers of knowledge flows. For generators, stature can influence attractiveness of alternative dissemination routes and deliberations of those who assess generator performance. For knowledge consumers, channel stature may influence knowledge content to which they are exposed. This study introduces a novel approach to conceptualizing and measuring stature of knowledge‐dissemination channels: the power‐impact (PI) technique. It is a flexible technique having 3 complementary variants, giving holistic insights about channel stature by accounting for both attraction of knowledge generators to a distribution channel and degree to which knowledge consumers choose to use a channel's knowledge content. Each PI variant is expressed in terms of multiple parameters, permitting customization of stature evaluation to suit its user's preferences. In the spirit of analytics, each PI variant is driven by objective evidence of actual behaviors. The PI technique is based on 2 building blocks: (a) power that channels have for attracting results of generators' knowledge work, and (b) impact that channel contents' exhibit on prospective recipients. Feasibility and functionality of the PI‐technique design are demonstrated by applying it to solve a problem of journal stature evaluation for the information‐systems discipline.