1. Mapping the Body of Knowledge Knowledge Creation and Transfer in Technical Communication Thomas Barker, PhD, Texas Tech University Joel Kline, Lebanon Valley College Sally Henschel, Midwestern State University
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12. Four Possible Categories Barker, Kline, Henschel IPCC July 2008 Measure Academic Industry Low Transfer High Creation Research-based University Mature High Tech Company High Transfer High Creation *Integrated University *Integrated Workplace Low Transfer Low Creation Composition-based State College Trade-oriented Consulting Company High Transfer Low Creation Industry-oriented Community College Technical Communication Consulting Company
13. High High Knowledge Creation (KC) Knowledge Transfer (KT) Low Low Transfer High Creation High Transfer High Creation High Transfer Low Creation Low Transfer Low Creation KC/KT on a Grid Barker, Kline, Henschel IPCC July 2008
22. High High Knowledge Creation (KC) Knowledge Transfer (KT) Low Low Transfer High Creation High Transfer High Creation High Transfer Low Creation Low Transfer Low Creation KC/KT on a Grid Barker, Kline, Henschel IPCC July 2008
the relationship between academia and industry needs to be seen in terms of site-specific knowledge artifacts and transfer behaviors rather than in general terms as it has been conventionally seen in the literature. Barker, Kline, Henschel
Perspectives On The Body Of Knowledge The body of knowledge in technical communication is represented by a grouping of issues that are addressed from various perspectives, each reflecting a literature and set of issues pertinent to the identification of knowledge creation and knowledge transfer that is a core concern of both the academic and professional communities. Literature that informs the constructs: Barker, Kline, Henschel
describes the characteristics used to identify knowledge activities for both sites. presents an inventory that may be used to identify and plot relationships between academic and industry sites. Barker, Kline, Henschel
Such a system is of potential value to academic practitioners who attempt to inform and update current curricula so as to produce the kind of educational product useful to persons entering the profession through a liberal arts education. It will help academics identify sources of best practices industry, how to partner with industry professionals in aligning course content, and the relationship of research to classroom teaching. Such a system is also of potential value to industry practitioners who attempt to create a productive transfer of knowledge to academia, maximize the benefits of best practices and processes, grow the professional knowledge base in their organizations, and engage in research with academic colleagues. Barker, Kline, Henschel
MESSY Didn’t give us a way to measure or quantify. Assumption: some sites or programs would exhibit moree or less kc or kt characteristics This could be pout on a scale. Barker, Kline, Henschel
We brainstormed for EXAMPLES of what would characterize a workplace or program that had knowledge creation. Identified a scale. The limits of the scale are HIGH and LOW: Barker, Kline, Henschel
We repeated this process looking for EXAMPLES of what would characterize a workplace or program that had Knowledge Transfer. Barker, Kline, Henschel
MESSY Examining the limits of KC and KT, we developed Four possible categories: 1. We placed workplaces and academic sites on the same grid. 2. Both are part of the same professional knowledge system. Barker, Kline, Henschel
Go to live grid on web site. Barker, Kline, Henschel
describes the characteristics used to identify knowledge activities for both sites. presents an inventory that may be used to identify and plot relationships between academic and industry sites. Barker, Kline, Henschel
describes the characteristics used to identify knowledge activities for both sites. presents an inventory that may be used to identify and plot relationships between academic and industry sites. Barker, Kline, Henschel