MATEC Web Conf.
Volume 251, 2018VI International Scientific Conference “Integration, Partnership and Innovation in Construction Science and Education” (IPICSE-2018)
|Number of page(s)||8|
|Section||Risk Management in Construction|
|Published online||14 December 2018|
Culture specific words as a barrier in cross-cultural communication in construction business
Moscow State Pedagogical University, Institute of Foreign Languages, 119991, Moscow, Malaya Pirogovskaya St., 1, Bld. 1, Russia
* Corresponding author: firstname.lastname@example.org
This research is an examination of the word as a cultural unit in cross-cultural communication in construction business. The qualitative analysis of some vocabulary units shows that simple words should be perceived as culture specific and might serve as barriers in cross-cultural communication. It is explained by the fact that speakers of different cultural backgrounds have little awareness about cultural associations that the word entails apart from its direct meaning. The comparative cultural research employed in the process of the study demonstrates that the perception of words largely depends on the type of culture the speakers represent, as well as the peculiarities of cultural, historical and social background of the latter. The results of the study are presented in the form of analysis of the linguistic data and cultural phenomena, which take place in cross-cultural communication.
© The Authors, published by EDP Sciences, 2018
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.