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A Human Systems Complexity Model: H...

Karakekes, Margaret Wynn.

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A Human Systems Complexity Model: How elite engineers acquire, create, and diffuse knowledge.

Record Type:	Electronic resources : Monograph/item
Title/Author:	A Human Systems Complexity Model: How elite engineers acquire, create, and diffuse knowledge./
Author:	Karakekes, Margaret Wynn.
Description:	145 p.
Notes:	Source: Dissertation Abstracts International, Volume: 64-12, Section: A, page: 4651.
Contained By:	Dissertation Abstracts International64-12A.
Subject:	Sociology, Theory and Methods. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3116408

A Human Systems Complexity Model: How elite engineers acquire, create, and diffuse knowledge.
Karakekes, Margaret Wynn.

A Human Systems Complexity Model: How elite engineers acquire, create, and diffuse knowledge. - 145 p.

Source: Dissertation Abstracts International, Volume: 64-12, Section: A, page: 4651.

Thesis (Ph.D.)--The University of Texas at Austin, 2003.

For knowledge workers, lifelong learning, obsolescence, and innovation are intertwined as well as being highly influenced by social and economic systems. This is especially true for engineers in the semiconductor industry, which has been marked by a geometric rate of change. Using a complexity science lens, this case study describes elite semiconductor manufacturing engineers' experiences as knowledge users and creators.Subjects--Topical Terms:

626625
Sociology, Theory and Methods.

A Human Systems Complexity Model: How elite engineers acquire, create, and diffuse knowledge.
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100 1 $a Karakekes, Margaret Wynn. $3 1950927
245 1 2 $a A Human Systems Complexity Model: How elite engineers acquire, create, and diffuse knowledge.
300 $a 145 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-12, Section: A, page: 4651.
500 $a Supervisor: Oscar G. Mink.
502 $a Thesis (Ph.D.)--The University of Texas at Austin, 2003.
520 $a For knowledge workers, lifelong learning, obsolescence, and innovation are intertwined as well as being highly influenced by social and economic systems. This is especially true for engineers in the semiconductor industry, which has been marked by a geometric rate of change. Using a complexity science lens, this case study describes elite semiconductor manufacturing engineers' experiences as knowledge users and creators.
520 $a The study represents (a) the complex environment in which the engineers practice their profession as individuals and a system, (b) the triggers that compel learning and examination of the status quo, and (c) ways in which the system of elite engineers use information and share new knowledge.
520 $a Seventeen elite engineers voices are included in this study which uses structured interviews about workplace learning projects and scores from the Change Style Indicator instrument. Thematic coding, descriptive statistics, and existing models examine the interactions and interdependencies within the system of elite engineers. In addition to Lewin's Force Field Analysis and Mink's Open Organizations models, a model for examining human systems from a complexity science perspective provides a lens through which to interpret the data. The Human Systems Complexity Model honors the non-linearity of complex systems. The conceptual model is represented by a conic geometric shape with three conic sections that offer glimpses into the sensemaking processes of the social system. Each conic section has a theme, (1) interconnectedness of process and matter, (2) triggers for questioning the status quo, and (3) emergence of knowledge.
520 $a The discussion includes emergent themes that point to future directions for inquiry. The themes are relevant to professionals in the fields of human resources, technical training, library science (knowledge management), management, and engineering.
590 $a School code: 0227.
650 4 $a Sociology, Theory and Methods. $3 626625
650 4 $a Psychology, Industrial. $3 520063
650 4 $a Education, Adult and Continuing. $3 626632
690 $a 0344
690 $a 0624
690 $a 0516
710 2 0 $a The University of Texas at Austin. $3 718984
773 0 $t Dissertation Abstracts International $g 64-12A.
790 1 0 $a Mink, Oscar G., $e advisor
790 $a 0227
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3116408