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Investigating Geospatial Social Capital Networks for Industry‐Based Grassroot Economies : = The Case of Damietta, Egypt.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Investigating Geospatial Social Capital Networks for Industry‐Based Grassroot Economies :/
其他題名:	The Case of Damietta, Egypt.
作者:	Heysham, Nourhan.
面頁冊數:	1 online resource (374 pages)
附註:	Source: Dissertations Abstracts International, Volume: 84-03, Section: A.
Contained By:	Dissertations Abstracts International84-03A.
標題:	Competition. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29281367click for full text (PQDT)
ISBN:	9798845453150

Investigating Geospatial Social Capital Networks for Industry‐Based Grassroot Economies : = The Case of Damietta, Egypt.
Heysham, Nourhan.

Investigating Geospatial Social Capital Networks for Industry‐Based Grassroot Economies :The Case of Damietta, Egypt. - 1 online resource (374 pages)

Source: Dissertations Abstracts International, Volume: 84-03, Section: A.

Thesis (Ph.D.)--University of Salford (United Kingdom), 2022.

Includes bibliographical references

Social capital is a vital asset that contributes to the development of professions as well as communities, specifically in small scale urban settings with a dense social structure. This research aims to develop new tools linking social capital to spatial interactions to fully understand the value of the grassroot economy of the furniture industry in Damietta. Furniture enterprises (MSMEs) in this context form the main economic base of the city socially inherited through generations. The research examines the hypothesis of social capital being the main success factor of this economic cluster, building on Porter's Competitive Advantage theory and Putnam's social capital theory, linking networking, trust and norms to the spatial distribution of furniture enterprises in the city (Network Theory).In light of recent globalisation-oriented development in Damietta, the city's existing coherent urban and social complex patterns are compromised. Quantifying a generally qualitative measure such as social capital provides data-driven commendations for community-oriented decision-making towards small scale contextual sustainable development.The proposed methodology adopts a mixed methods approach, starting with interviews that verify the theoretical and spatial framework, and geospatial GIS network mapping based on field survey. The research utilises Network Theory and geolocation data to quantify social capital and visualise its magnitude in relation to space. The output is a novel tool that is the theoretical and spatial framework, and the production of a novel dataset of spatial interactions of social capital network mapping that would inform data-driven development in Damietta. The approach and developed tool can be appropriated to other industries and urban settings that resemble similar industrial characteristics to Damietta.This work concludes that social capital is highly abundant among the network of furniture enterprises (MSMEs) in Damietta, which has enriched the patterns and dynamics of the industry in the city. There is a unique way in which the industry operates in Damietta considering the vernacularly formulated social capital networks, and socio-spatial interactions and supply chain variations that have developed in the city. This has created an inclusive, local and more resilient industrial cluster that is in need of both conservation and growth.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798845453150Subjects--Topical Terms:

537031
Competition.
Index Terms--Genre/Form:

542853
Electronic books.

Investigating Geospatial Social Capital Networks for Industry‐Based Grassroot Economies : = The Case of Damietta, Egypt.
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504 $a Includes bibliographical references
520 $a Social capital is a vital asset that contributes to the development of professions as well as communities, specifically in small scale urban settings with a dense social structure. This research aims to develop new tools linking social capital to spatial interactions to fully understand the value of the grassroot economy of the furniture industry in Damietta. Furniture enterprises (MSMEs) in this context form the main economic base of the city socially inherited through generations. The research examines the hypothesis of social capital being the main success factor of this economic cluster, building on Porter's Competitive Advantage theory and Putnam's social capital theory, linking networking, trust and norms to the spatial distribution of furniture enterprises in the city (Network Theory).In light of recent globalisation-oriented development in Damietta, the city's existing coherent urban and social complex patterns are compromised. Quantifying a generally qualitative measure such as social capital provides data-driven commendations for community-oriented decision-making towards small scale contextual sustainable development.The proposed methodology adopts a mixed methods approach, starting with interviews that verify the theoretical and spatial framework, and geospatial GIS network mapping based on field survey. The research utilises Network Theory and geolocation data to quantify social capital and visualise its magnitude in relation to space. The output is a novel tool that is the theoretical and spatial framework, and the production of a novel dataset of spatial interactions of social capital network mapping that would inform data-driven development in Damietta. The approach and developed tool can be appropriated to other industries and urban settings that resemble similar industrial characteristics to Damietta.This work concludes that social capital is highly abundant among the network of furniture enterprises (MSMEs) in Damietta, which has enriched the patterns and dynamics of the industry in the city. There is a unique way in which the industry operates in Damietta considering the vernacularly formulated social capital networks, and socio-spatial interactions and supply chain variations that have developed in the city. This has created an inclusive, local and more resilient industrial cluster that is in need of both conservation and growth.
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