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Applicability of ARIMA models for investigating the effects of Technology spillover on Car Manufacturing Companies' performance
, Article 8th International Conference on Industrial Engineering and Operations Management, IEOM 2018, 6 March 2018 through 8 March 2018 ; Volume 2018-March , 2018 ; 21698767 (ISSN); 9781532359446 (ISBN) ; Karami, A ; Cyrus, K.M ; Eaton; INFORMS (Institute for Operations Research and Management Sciences); Siemens ; Sharif University of Technology
IEOM Society
2018
Abstract
The present study seeks to investigate the effects of technology spillover on the performance of automobile companies. In short, technology spillover is an opportunity to transfer and exploit and obtain information, technology or technical know-how, without prior planning. One of the most important indicators in evaluation of cars' manufacturing companies' performance is sales; hence, this study focused on sales variable and took it as a representative of Technology spillover. To this aim, the sales data were collected fromthe domestic car manufacturing companies. For this mean, sales' pattern during ten years is recognized using Seasonal ARIMA (S-ARIMA) model. Akaike Information Criterion...
Determining Factors of Foreign Direct Investment Using Gravity Model
, M.Sc. Thesis Sharif University of Technology ; Abedini, Javad (Supervisor)
Abstract
Foreign direct investment (FDI) has considerably increased in recent years and achieved two percent of the world GDP in 2009. The positive impact of FDI on many national economic variables such as export and employment has been a great motivation for countries to seek it. In spite of many promoting factors in Iran, the Iranian FDI inflow still remains small. Using a huge panel dataset including 2604 real observations, this study aims to recognize and evaluate the impact of main factors influencing FDI inwards across the world. Based on a theoretical approach, we develop an empirical gravity model which includes not only the traditional mass variables but also some specific factors to FDI...