Li-Min Chuang1, Yu-Po Lee2, Shu-Tsung Chao3
1The Department of International Business, Chang Jung Christian University,
No.1, Changda Rd., Gueiren District, Tainan City, 711301, Taiwan
2The Ph.D. Program in Business and Operations Management, College of Management,
Chang Jung Christian University, No.1, Changda Rd., Gueiren District, Tainan
City, 711301, Taiwan
3The Institute of Business and operation Management, Chang Jung Christian
University, No.1, Changda Rd., Gueiren District, Tainan City, 711301, Taiwan
pp. 98-103
ABSTRACT
This study integrates the previous cross-cultural literature and aims to
construct an analysis model of cross-national culture with multiple dimensions
from three important cultural dimension theoretical models commonly used
in cross-cultural studies: Hofstede, Global Leadership and Organizational
Effectiveness (GLOBE) and World Values Survey (WVS). Traditional statistical
analysis seems to be unable to solve the problem of the integration of
relevant scales and units in different dimensions of cultural analysis.
Therefore, this study uses a self-organizing map (SOM) as an analysis method
to integrate 17 cultural variables from this multicultural dimension for
cluster analysis and explains the cultural types in 26 countries based
on the results. This study explores the differences and similarities of
different countries in different cultural dimension analyses and provides
a comparative model of multicultural analysis. This study takes samples
from three cross-cultural analysis databases as data sources and employs
the self-organizing map for analysis based on a neural network algorithm
that can be used for type discrimination, map analysis, process monitoring,
and error analysis. The results identify the cross-cultural groups of 26
countries and reveal their key cultural similarities and differences. We
also elaborate upon the findings of these cultural characteristics and
multi-cultural dimensions. The signification of this study is presented
as a reference for subsequent studies of transnational and cross-cultural
analysis and its applications.
ARTICLE INFO
Article History
Received 30 October 2020
Accepted 01 September 202
1Keywords
Cross-culture
Self-organizing map (SOM)
Hofstede GLOBE WVS
JAALR2210
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