Structural and Spatial Embeddedness in Strategic Networks: Attitudinal Outcomes in Diadic Level
Keywords:
structural embeddedness, spatial embeddedness, dyadic similarity, network, MRQAPAbstract
This paper objective is to dimension the effects of structural and spatial embeddedness on the attitudinal similarity of strategic networks agents characterized as local productive system (LPS). The theoretical background highlights the structural and spatial embeddedness on strategic networks and also on the agent’s attitudinal similarity. It is argued that the degree of similarity between two agents in terms of structural and spatial embeddedness will be related to the degree of attitudinal similarity in strategic networks as local productive system (LPS). More specifically, it is argued that the identification of agents with your network and the evaluation that these agents are coordinating the performance of the network in seeking external support for development of the arrangement shown as two important variables in terms of the degree of cooperation among agents and collective and individual performance. As a driver or inhibitor of interactions the spatial embeddedness is the element that has the large potential to complement more readily the analysis of the influence of structural embeddedness on the similarity between social actors regarding the higher degree of attitudinal agreement or behavioral uniformity. The analysis occurred in the dyadic level because it is the micro locus of reproduction and transformation of logics or social patterns, the biggest spectrum e because it affects the network system and societal level as a whole. It was employed the MRQAP (Multiple Regression Quadratic Assignment Procedure) to test the hypothesis. The number of observations was 600 dyads generated by 25 organizations. The results reveal that similarity in structural prestige and clustering coefficient ego relate positively with similarity in agent network identification. Regarding to spatial embeddedness it was proven the hypothesis that geographical proximity between the agents is positively related with similarity in performance evaluation of network coordination concerning to search external support to local productive system development.
Downloads
Downloads
Published
Issue
Section
License
Once the papers have been approved, the authors will assign their copyrights to this Journal. The Copyright Assignment Conditions include:
1. The Mackenzie Administration Journal holds the rights to all the papers published therein through assignment of copyright.
2. The author retains moral rights to the paper, including the right to identify the author whenever the article is published.
3. As of July 1, 2015 RAM adopted the CC-BY license standard (Creative Commons– BY). Authors are allowed to copy, distribute, display, transmit and adapt articles. Authors must attribute to RAM explicitly and clearly an article’s original publication (with reference to the journal’s name, edition, year and pages in which the article was originally published), yet without suggesting that RAM endorses the author or its use of the article. Contents are released by means of the CC-BY license to fully inter-operate with a variety of different systems and services, including for commercial purposes. In case of an article’s reuse or distribution, authors must make the article’s licensing terms clear to third parties. CC-BY criteria follow open access policies by major OA (Open Access) publishers and journals, such as PLoS, eLife, Biomed Central and Hindawi, among others.
4. When formally requested by the author, this Journal may allow the paper to be published as a chapter or part of a book. The only requirement is that prior publication in this Journal (Journal name, issue, year and pages) must be clearly and explicitly shown as a reference.
