東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Networks of learning: Using social n...

Sheetz, Dean.

Linked to FindBook

Google Book

Amazon

博客來

Networks of learning: Using social network analysis as a tool for the study of a community of practice.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Networks of learning: Using social network analysis as a tool for the study of a community of practice./
Author:	Sheetz, Dean.
Description:	255 p.
Notes:	Source: Dissertation Abstracts International, Volume: 71-11, Section: A, page: 4072.
Contained By:	Dissertation Abstracts International71-11A.
Subject:	Business Administration, General. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3423964
ISBN:	9781124256221

Networks of learning: Using social network analysis as a tool for the study of a community of practice.
Sheetz, Dean.

Networks of learning: Using social network analysis as a tool for the study of a community of practice. - 255 p.

Source: Dissertation Abstracts International, Volume: 71-11, Section: A, page: 4072.

Thesis (Ph.D.)--Capella University, 2010.

The focus of this mixed methods study was the development of a practical framework for the use of Social Network Analysis (SNA) in the study of Communities of Practice (CoPs) that will allow researchers and practitioners to study a CoP with greater efficiency. Traditional methods for studying CoPs have taken the form of case studies, however since CoP theory is partially focused on learning-based relationships, CoPs can be at least partially represented and studied as social networks, where a social network is defined as a set of actors and a set of relations that tie them together. In this study, the social structure derived through SNA was compared to the social structure uncovered through a case study of a working community of load planners in the control center at a major port. The case study was based on a set of observations and interviews conducted with 14 members of the control center working group. The social network data was collected in a survey on the learning, friendship, and communication networks of the participants. It was found that basic SNA provided information about the CoP which extended understanding of the CoP beyond the understanding arrived at through the case study. In particular, the CoP theoretical concepts of role trajectories can be explored with SNA, SNA can aid in defining community boundaries, and SNA can provide information about individual and group identity within a CoP. In addition, this study found some areas where CoP theory could possibly be extended or clarified based on the context of this study, particularly in the area of refining and extending the definitions of role trajectories and boundary objects. This study was limited by the high density of relationships within the community studied, which limited the information which could be derived from the analysis of the social networks. Further research into developing the use of SNA within the context of the CoP is recommended in the areas of properly defining relations and the role of triadic and sub-group analysis. In addition, the effects of network density on CoP structure is recommended for further study.

ISBN: 9781124256221Subjects--Topical Terms:

1017457
Business Administration, General.

Networks of learning: Using social network analysis as a tool for the study of a community of practice.
LDR:03140nam 2200301 4500 001 1402166
005 20111028105742.5
008 130515s2010 ||||||||||||||||| ||eng d
020 $a 9781124256221
035 $a (UMI)AAI3423964
035 $a AAI3423964
040 $a UMI $c UMI
100 1 $a Sheetz, Dean. $3 1681325
245 1 0 $a Networks of learning: Using social network analysis as a tool for the study of a community of practice.
300 $a 255 p.
500 $a Source: Dissertation Abstracts International, Volume: 71-11, Section: A, page: 4072.
500 $a Adviser: Richard Flor.
502 $a Thesis (Ph.D.)--Capella University, 2010.
520 $a The focus of this mixed methods study was the development of a practical framework for the use of Social Network Analysis (SNA) in the study of Communities of Practice (CoPs) that will allow researchers and practitioners to study a CoP with greater efficiency. Traditional methods for studying CoPs have taken the form of case studies, however since CoP theory is partially focused on learning-based relationships, CoPs can be at least partially represented and studied as social networks, where a social network is defined as a set of actors and a set of relations that tie them together. In this study, the social structure derived through SNA was compared to the social structure uncovered through a case study of a working community of load planners in the control center at a major port. The case study was based on a set of observations and interviews conducted with 14 members of the control center working group. The social network data was collected in a survey on the learning, friendship, and communication networks of the participants. It was found that basic SNA provided information about the CoP which extended understanding of the CoP beyond the understanding arrived at through the case study. In particular, the CoP theoretical concepts of role trajectories can be explored with SNA, SNA can aid in defining community boundaries, and SNA can provide information about individual and group identity within a CoP. In addition, this study found some areas where CoP theory could possibly be extended or clarified based on the context of this study, particularly in the area of refining and extending the definitions of role trajectories and boundary objects. This study was limited by the high density of relationships within the community studied, which limited the information which could be derived from the analysis of the social networks. Further research into developing the use of SNA within the context of the CoP is recommended in the areas of properly defining relations and the role of triadic and sub-group analysis. In addition, the effects of network density on CoP structure is recommended for further study.
590 $a School code: 1351.
650 4 $a Business Administration, General. $3 1017457
650 4 $a Sociology, Organizational. $3 1018023
690 $a 0310
690 $a 0703
710 2 $a Capella University. $b School of Business. $3 1018437
773 0 $t Dissertation Abstracts International $g 71-11A.
790 1 0 $a Flor, Richard, $e advisor
790 1 0 $a LeBlanc, Alyce $e committee member
790 1 0 $a Petrick, Jane $e committee member
790 $a 1351
791 $a Ph.D.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3423964