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The relationship between knowledge s...
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Deutch, Frances A.
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The relationship between knowledge satisfaction, task characteristics, and the knowledge conversion process in virtual and non-virtual teams.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
The relationship between knowledge satisfaction, task characteristics, and the knowledge conversion process in virtual and non-virtual teams./
Author:
Deutch, Frances A.
Description:
121 p.
Notes:
Source: Dissertation Abstracts International, Volume: 75-08(E), Section: A.
Contained By:
Dissertation Abstracts International75-08A(E).
Subject:
Business Administration, Management. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3619136
ISBN:
9781303878503
The relationship between knowledge satisfaction, task characteristics, and the knowledge conversion process in virtual and non-virtual teams.
Deutch, Frances A.
The relationship between knowledge satisfaction, task characteristics, and the knowledge conversion process in virtual and non-virtual teams.
- 121 p.
Source: Dissertation Abstracts International, Volume: 75-08(E), Section: A.
Thesis (Ph.D.)--Capella University, 2014.
The purpose of this non-experimental cross-sectional correlation analysis study was to gain a better understanding of the relationship between Knowledge Conversion (independent variables: composed of Socialization, Externalization, Combination, and Internalization---the SECI model) and the Task Characteristics Group (moderator variables: composed of Task Variety and Analyzability) on Knowledge Satisfaction (dependent variables: Knowledge Transfer and Creation) in select groups. 298 participants were split into two self-identified groups belonging to either virtual or non-virtual teams---who worked directly or indirectly (as telework-enabled knowledge workers) for the U.S. federal government. The participants consisted of contractors (54%), civilian employees (17%), Think Tanks, R&D Labs, etc. (16%), and military (12%), and who were split equally among workers, middle, and senior management. One third of the sample population had been in positions for 1-3 years, while 37% were either new or had over a decade in the position. The findings were as follows: Using covariance-based multilinear regression, the SECI components predicted Knowledge Satisfaction for both virtual and non-virtual knowledge workers, regardless of the participants belonging to virtual teams or not. As a moderator variable, the Task Characteristics Group influenced the predictive power of Knowledge Conversion, in that it strengthened the SECI model itself. A chi-square test for homogeneity for tier comparison between teams found that team membership did not affect Knowledge Satisfaction, except for middle managers' Knowledge Satisfaction, Knowledge Transfer for members with at least 6 years in the position or in the organization, and Knowledge Creation for members who were middle-aged or who had at least 6 years in the organization. Team membership also affected tier profiles for Knowledge Creation, Task Variety, Externalization, and Internalization. These findings were consistent with past research and supported similar findings in the organizational knowledge management field, with regards to tacit and explicit knowledge.
ISBN: 9781303878503Subjects--Topical Terms:
626628
Business Administration, Management.
The relationship between knowledge satisfaction, task characteristics, and the knowledge conversion process in virtual and non-virtual teams.
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The relationship between knowledge satisfaction, task characteristics, and the knowledge conversion process in virtual and non-virtual teams.
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Source: Dissertation Abstracts International, Volume: 75-08(E), Section: A.
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Adviser: Werner D. Gottwald.
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Thesis (Ph.D.)--Capella University, 2014.
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The purpose of this non-experimental cross-sectional correlation analysis study was to gain a better understanding of the relationship between Knowledge Conversion (independent variables: composed of Socialization, Externalization, Combination, and Internalization---the SECI model) and the Task Characteristics Group (moderator variables: composed of Task Variety and Analyzability) on Knowledge Satisfaction (dependent variables: Knowledge Transfer and Creation) in select groups. 298 participants were split into two self-identified groups belonging to either virtual or non-virtual teams---who worked directly or indirectly (as telework-enabled knowledge workers) for the U.S. federal government. The participants consisted of contractors (54%), civilian employees (17%), Think Tanks, R&D Labs, etc. (16%), and military (12%), and who were split equally among workers, middle, and senior management. One third of the sample population had been in positions for 1-3 years, while 37% were either new or had over a decade in the position. The findings were as follows: Using covariance-based multilinear regression, the SECI components predicted Knowledge Satisfaction for both virtual and non-virtual knowledge workers, regardless of the participants belonging to virtual teams or not. As a moderator variable, the Task Characteristics Group influenced the predictive power of Knowledge Conversion, in that it strengthened the SECI model itself. A chi-square test for homogeneity for tier comparison between teams found that team membership did not affect Knowledge Satisfaction, except for middle managers' Knowledge Satisfaction, Knowledge Transfer for members with at least 6 years in the position or in the organization, and Knowledge Creation for members who were middle-aged or who had at least 6 years in the organization. Team membership also affected tier profiles for Knowledge Creation, Task Variety, Externalization, and Internalization. These findings were consistent with past research and supported similar findings in the organizational knowledge management field, with regards to tacit and explicit knowledge.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3619136
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