Achievements and Problems of Global Urban System Research by the Globalization and World Cities-Study Group & Network: From the Perspectives of Organizational Theory and Nongovernmental Organizations

2008 ◽  
Vol 81 (7) ◽  
pp. 571-590
Author(s):  
Tomoya HANIBUCHI
Author(s):  
Jenna N. Hanchey

Scholars recognize that both nongovernmental organizations (NGOs) and non-Western organizational logics harbor the potential to reconfigure fundamental assumptions of organizational research. Drawing from such work, I argue that we must reconceptualize ‘resistance' in organizational communication scholarship by destabilizing its Western-centric assumptions and logics. I do so by engaging in a postcolonial analysis of scholarship on international NGOs, and drawing out typical assumptions of organizational communication work that do not hold under all cultural conditions, or that are imperialistic in nature. Answering calls to center alternative forms of organizing and to draw deeper relations between critical intercultural and organizational communication research, this study asks scholars to resist typical theorizations of ‘resistance,' and decolonize organizational theory.


2011 ◽  
Vol 69 (3) ◽  
pp. 201-211 ◽  
Author(s):  
Britta Klagge ◽  
Carsten Peter

Abstract Urban systems analysis and especially the seminal contributions of the Globalization and World Cities Research Network (GaWC) so far mainly rely on the analysis of national and international office geographies of advanced producer services firms. This paper shows how the geography of demand-supply relationships and associated knowledge flows adds important qualitative information to the office geographies of the Globalization and World Cities Research Network. It contributes to our understanding of intercity relations and networks—and thus of urban systems more generally. We illustrate our approach by looking at private equity firms and their knowledge management strategies in Germany. Empirically, we analyze private equity firms’ business relations and networks with external partners as well as their geographical organization. While private equity firms’ geographical organization in Germany is characterized by decentralized concentration with nodes in Frankfurt and regional financial centres, there is evidence that among the latter Munich plays a special role. Only in Munich has private equity—cross-fertilized by other local financial actors—initiated a self-supporting development which strengthens Munich as a financial centre. The paper illustrates how the dynamics of private equity and its knowledge management lead to Germany’s financial system having a more tiered structure and how qualitative network analysis can help deepen our understanding of urban systems development.


2020 ◽  
Vol 49 (4) ◽  
pp. 776-802
Author(s):  
Carrie R. Oelberger ◽  
Jesse Lecy ◽  
Simon Y. Shachter

Local nongovernmental organizations (local NGOs) based in less economically advanced countries suffer from a “liability of foreignness” in attracting international funding: They are geographically, linguistically, and culturally distant from funders in more economically advanced countries. As a result, although U.S. foundations gave 27,572 grants to support programming occurring within less economically advanced countries between 2000 and 2012, only 10.4% went to local NGOs within those areas. We argue that while favoring NGOs in more economically advanced countries minimizes funder-NGO foreignness, or the distance between the foundation and the grantee NGO, it increases NGO-programming foreignness, or the distance between the grantee NGO and the site of their programming, creating crucial trade-offs. We draw upon organizational theory to predict under what conditions U.S. foundations would fund local NGOs, finding that local NGOs receive more support from older foundations and those with greater geographic and program area experience. Furthermore, local NGOs receive larger, longer grants but with lower probabilities of being renewed. These results identify the conditions under which foundations “go the extra mile” and fund local NGOs.


2007 ◽  
Vol 177 (4S) ◽  
pp. 305-305
Author(s):  
Shane Daley ◽  
Michael Ritchey ◽  
Robert Shamberger ◽  
Robert Sawin ◽  
Thomas Hamilton ◽  
...  

VASA ◽  
2015 ◽  
Vol 44 (2) ◽  
pp. 106-114 ◽  
Author(s):  
Adem Adar ◽  
Hakan Erkan ◽  
Tayyar Gokdeniz ◽  
Aysegul Karadeniz ◽  
Ismail G. Cavusoglu ◽  
...  

Background: We aimed to investigate the association between aortic arch and coronary artery calcification (CAC). We postulated that low‐ and high‐risk CAC scores could be predicted with the evaluation of standard chest radiography for aortic arch calcification (AAC). Patients and methods: Consecutive patients who were referred for a multidetector computerized tomography (MDCT) examination were enrolled prospectively. All patients were scanned using a commercially available 64‐slice MDCT scanner for the evaluation of CAC score. A four‐point grading scale (0, 1, 2 and 3) was used to evaluate AAC on the standard posterior‐anterior chest radiography images. Results: The study group consisted of 248 patients. Median age of the study group was 52 (IQR: 10) years, and 165 (67 %) were male. AAC grades (r = 0.676, p < 0.0001) and age (r = 0.518, p < 0.0001) were significantly and positively correlated with CAC score. Presence of AAC was independently associated with the presence of CAC (OR: 11.20, 95 % CI 4.25 to 29.52). An AAC grade of ≥ 2 was the strongest independent predictor of a high‐risk CAC score (OR: 27.42, 95 % CI 6.09 to 123.52). Receiver operating characteristics curve analysis yielded a strong predictive ability of AAC grades for a CAC score of ≥ 100 (AUC = 0.892, P < 0.0001), and ≥ 400 (AUC = 0.894, P < 0.0001). Absence of AAC had a sensitivity, specificity and accuracy of 90 %, 84 % and 89 %, respectively, for a CAC score of < 100. An AAC grade of ≥ 2 predicted a CAC score of ≥400 with a sensitivity, specificity and accuracy of 68 %, 98 % and 95 %, respectively. Conclusions: AAC is a strong and independent predictor of CAC. The discriminative performance of AAC is high in detecting patients with low‐ and high‐risk CAC scores.


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