Development of a Coupled Coastal Dynamic Model Phase 1: A New Numerical Coastal Wave Modeling

1997 ◽  
Author(s):  
Norden E. Huang
1999 ◽  
Author(s):  
W. Zheng ◽  
J. Fu ◽  
W. C. Maurer
Keyword(s):  
Phase 1 ◽  

2021 ◽  
Vol 45 (4) ◽  
Author(s):  
Debadutta Panda

This study examines (1) how grant-seeking nonprofit organizations (NPOs) position themselves and (2) whether the positioning of NPOs has any connection with their grant acquisition. A content analysis of 100 websites of Indian NPOs (phase 1) helped in generating 9 hypotheses. Furthermore, 380 websites of Indian NPOs were studied using a statistical model (phase 2). NPOs were found with two different positioning strategies: (1) reliability positioning and (2) customer orientation positioning. The reliability positioning elements were recognition, transparency, collaboration, and resources. The customer orientation positioning elements were length of service, geographic spread, service variety, depth of service, and service impact. Recognition, transparency, collaboration, resources, and service variety positively and significantly influenced NPOs’ grant acquisition, and length of service and geographic spread negatively and significantly influenced NPOs’ grant acquisition.


2015 ◽  
Vol 2 (0) ◽  
pp. 9781780403212-9781780403212
Author(s):  
J. M. Colford ◽  
D. M. Eisenberg ◽  
J. N. S. Eisenberg ◽  
J. Scott ◽  
J. A. Soller

2016 ◽  
Vol 258 ◽  
pp. S152
Author(s):  
D. Bovard ◽  
K. Luettich ◽  
S. Frentzel ◽  
D. Marescotti ◽  
S. Acali ◽  
...  
Keyword(s):  
Phase 1 ◽  

1995 ◽  
Author(s):  
D. A. Labreche ◽  
M. A. Beikmann ◽  
J. D. Osnes ◽  
B. M. Butcher

2011 ◽  
Vol 08 (02) ◽  
pp. 227-251 ◽  
Author(s):  
MAHDI BASHIRI ◽  
HOSSEIN BADRI ◽  
JAFAR TALEBI

Nowadays most of the organizations tend to outsource their projects. In these cases, two major problems arise: project selection and contractor selection. There are many papers which have argued separately about project and contractor selections. In this paper, we propose a decision support system for selecting projects and related contractors. The proposed approach contains three phases including contractors' prequalification (Phase 1), computing success coefficient of each contractor in projects using fuzzy TOPSIS method (Phase 2), and selecting projects and assigning each project to the most appropriate contractor using a linear programming model (Phase 3). Finally, a numerical example is illustrated to show the application of the proposed method.


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