A Study on the Establishment of 「Gim-DSFM(Demand and Supply Forecasting Model)」

2020 ◽  
Vol 32 (4) ◽  
pp. 165-182
Author(s):  
Heon-Dong Lee ◽  
Su-Jin Heo ◽  
Hyun-Jung Ha
2011 ◽  
Vol 14 (2) ◽  
pp. 14-21 ◽  
Author(s):  
Thi Hao Cao ◽  
Phuong Ngoc Binh Nguyen ◽  
Hung Thanh Nguyen ◽  
Chuong Minh Truong ◽  
Hiep Van Ha

Information technology (IT) is a fast-growing field, particularly, in Ho Chi Minh City. The City Authorities have made much effort to improve IT infrastructure and to make a master plan for IT human resource development. The development of IT human resource depends on the demand of IT market and on the supply of IT human resource. In order to have a highly reliable plan for IT human resource development, a forecasting model involving factors of IT human resource demand and supply is in big need. This research aims to establish an IT human resource forecasting model and to apply this model to the forecasting of IT human resource in Ho Chi Minh City from 2011 to 2020.


Author(s):  
William Rhodes ◽  
Patrick Johnston ◽  
Song Han ◽  
Quentin McMullen ◽  
Lynne Hozik

Informatica ◽  
2019 ◽  
Vol 30 (1) ◽  
pp. 73-90
Author(s):  
Algirdas MAKNICKAS ◽  
Nijole MAKNICKIENE

2016 ◽  
Vol 136 (5) ◽  
pp. 459-470 ◽  
Author(s):  
Yuki Tsujii ◽  
Takao Tsuji ◽  
Tsutomu Oyama ◽  
Yoshiki Nakachi ◽  
Suresh Chand Verma

2020 ◽  
Vol 26 (7) ◽  
pp. 1469-1495
Author(s):  
A.L. Sabinina ◽  
V.V. Sokolovskii ◽  
N.A. Shul'zhenko ◽  
N.A. Sychova

Subject. The article describes the findings of the authors of fundamental strategic decisions on the formation of multifunctional urban complexes, using the housing demand and supply criterion. Objectives. We undertake a comprehensive study aimed at perfecting the methodology for evaluating the options for city infrastructure development at two stages, i.e. strategic, when general targets of feasible commissioning are determined, and current, when parameters of demand for facilities are taken into account. Methods. The study employs methods of expert survey, statistical data processing, predictive and investigative analysis. Results. We explored factors of creating amenities and comfort in residential construction areas, developed an algorithm to calculate the volume of new living space commissioning on the basis of evaluating demands in the Smart City paradigm. Conclusions. The study shows the cost increase depending on the built-up area, number of floors, and the balance between the type of capacity and the number of residents in the quarter (linear relationship).


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