Expatriate selection: An empirical study identifying significant skill profiles
نویسندگان
چکیده
منابع مشابه
Expatriate Selection: An Empirical Study Identifying Significant Skill Profiles
Effective selection procedures constitute an important factor in increasing expatriate success. However, research lacks findings regarding which skills to screen in international selection processes and whether to base expatriate selection on a culture-specific or culture-general skill profile. In an attempt to gather such evidence, an empirical study was conducted in the United States and Germ...
متن کاملComputer programming skill and gender difference: An empirical study
Women have been said to be poorly represented in computing most especially in computer programming. However, there is a dearth of empirical research to support this evidence. This study employed an experimental proof approach to verify the wide acclaimed gender difference in computing. Two parallel student-gender groups (male and Female) were subjected to two different computer programming prob...
متن کاملAn Empirical Study of Significant Variables for Trading Strategies
Nowadays, stock market investment is governed by investment strategies. An investment strategy consists in following a fixed philosophy over a period of time, and it can have a scientific, statistical or merely heuristic base. No method currently exists which is capable of measuring how good an investment strategy is either objectively or realistically. Through the use of Artificial Intelligenc...
متن کاملIdentifying Fault Prone Modules: An Empirical Study in Telecommunication System
Message from the Program Co-Chair Conference Committee Program Committee Supported by Patroned by Continuous Engineering of Information and Communication Infrastructures Architecture and Functions of a Commercial Software Reengineering Workbench p. 2 Control Flow Normalization for COBOL/CICS Legacy System p. 11 A Generic Approach for Data Reverse Engineering taking into Account Application Doma...
متن کاملAn Empirical Study on feature selection for Data Classification
In the task of pattern classification features play a very important role. Hence, the selection of suitable features is necessary as most of the raw data might be redundant or irrelevant to the recognition of patterns. In some cases, the classifier cannot perform well because of the large number of redundant features. This paper investigates the performance of different feature selection algori...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Thunderbird International Business Review
سال: 2004
ISSN: 1096-4762,1520-6874
DOI: 10.1002/tie.20030