The intersection of social networks in a public service model: A case study.

Description:

Examining human interaction networks contributes to an understanding of factors that improve and constrain collaboration. This study examined multiple network levels of information exchanges within a public service model designed to strengthen community partnerships by connecting city services to the neighborhoods. The research setting was the Neighbourhood Integrated Service Teams (NIST) program in Vancouver, B.C., Canada. A literature review related information dimensions to the municipal structure, including social network theory, social network analysis, social capital, transactive memory theory, public goods theory, and the information environment of the public administration setting. The research method involved multiple instruments and included surveys of two bounded populations. First, the membership of the NIST program received a survey asking for identification of up to 20 people they contact for NIST-related work. Second, a network component of the NIST program, 23 community centre coordinators in the Parks and Recreation Department, completed a survey designed to identify their information exchanges relating to regular work responsibilities and the infusion of NIST issues. Additionally, 25 semi-structured interviews with the coordinators and other program members, collection of organization documents, field observation, and feedback sessions provided valuable insight into the complexity of the model. This research contributes to the application of social network theory and analysis in information environments and provides insight for public administrators into the operation of the model and reasons for the program's network effectiveness.

Creator(s): Schultz-Jones, Barbara Ann
Creation Date: December 2007
Partner(s):
UNT Libraries
Collection(s):
UNT Theses and Dissertations
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Total Uses: 201
Past 30 days: 22
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Creator (Author):
Publisher Info:
Publisher Name: University of North Texas
Place of Publication: Denton, Texas
Date(s):
  • Creation: December 2007
  • Digitized: January 16, 2008
Description:

Examining human interaction networks contributes to an understanding of factors that improve and constrain collaboration. This study examined multiple network levels of information exchanges within a public service model designed to strengthen community partnerships by connecting city services to the neighborhoods. The research setting was the Neighbourhood Integrated Service Teams (NIST) program in Vancouver, B.C., Canada. A literature review related information dimensions to the municipal structure, including social network theory, social network analysis, social capital, transactive memory theory, public goods theory, and the information environment of the public administration setting. The research method involved multiple instruments and included surveys of two bounded populations. First, the membership of the NIST program received a survey asking for identification of up to 20 people they contact for NIST-related work. Second, a network component of the NIST program, 23 community centre coordinators in the Parks and Recreation Department, completed a survey designed to identify their information exchanges relating to regular work responsibilities and the infusion of NIST issues. Additionally, 25 semi-structured interviews with the coordinators and other program members, collection of organization documents, field observation, and feedback sessions provided valuable insight into the complexity of the model. This research contributes to the application of social network theory and analysis in information environments and provides insight for public administrators into the operation of the model and reasons for the program's network effectiveness.

Degree:
Level: Doctoral
Discipline: Information Science
Language(s):
Subject(s):
Keyword(s): Social networks | social network analysis | information behavior | public administration
Contributor(s):
Partner:
UNT Libraries
Collection:
UNT Theses and Dissertations
Identifier:
  • OCLC: 230730024 |
  • ARK: ark:/67531/metadc5124
Resource Type: Thesis or Dissertation
Format: Text
Rights:
Access: Public
License: Copyright
Holder: Schultz-Jones, Barbara Ann
Statement: Copyright is held by the author, unless otherwise noted. All rights reserved.