IJEEEE 2017 Vol.7(1): 24-35 ISSN: 2010-3654
doi: 10.17706/ijeeee.2017.7.1.24-35
doi: 10.17706/ijeeee.2017.7.1.24-35
A Novel System for Generating Multicultural Business Models
Manabu Suehiro, Reiko Hishiyama
Abstract—These days, Japan is facing the necessity of developing new business models for non-Japanese persons. However, it is difficult to develop products or services that consider other countries’ cultures and values. Our research task was to support companies developing new products or services that consider the viewpoints of non-Japanese persons by working together with them. We developed and in this paper propose a system that enables people with different mother tongues to participate in developing business models on the assumption that the participants are in distant places. We asked groups of people to develop new business models using the system as an experiment. The results showed that business models developed by groups with Japanese and Korean students were evaluated as comparable to models developed by groups comprising only Japanese students. The results indicate the proposed system can be used to develop new business models that take non-Japanese persons' viewpoints into account.
Index Terms—Business model, intercultural collaboration, machine translation, language grid.
The authors are with Faculty of Science and Engineering Waseda University, Tokyo, 169-8555 Japan (email: msuehiro@asagi.waseda.jp).
Index Terms—Business model, intercultural collaboration, machine translation, language grid.
The authors are with Faculty of Science and Engineering Waseda University, Tokyo, 169-8555 Japan (email: msuehiro@asagi.waseda.jp).
Cite: Manabu Suehiro, Reiko Hishiyama, "A Novel System for Generating Multicultural Business Models," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 7, no. 1, pp. 24-35, 2017.
General Information
ISSN: 2010-3654 (Online)
Abbreviated Title: Int. J. e-Educ. e-Bus. e-Manag. e-Learn.
Frequency: Quarterly
DOI: 10.17706/IJEEEE
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: EBSCO, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, INSPEC (IET)
E-mail: ijeeee@iap.org
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