A Comparative Study on Knowledge Transfer Between Turkish and Chinese in Manufacturing Industry

DOI

10.2991/ictim-17.2017.24How to use a DOI?

Keywords

Knowledge Transfer, manufacturing Industry

Abstract

In this paper, the concept of 'knowledge transfer' is restricted to the marketing, technological, and managerial knowledge between companies. The overall interaction between developing countries is investigated in terms of the knowledge transfer. We extract the factors of interaction between the companies in terms of the knowledge transfer. When the factors are determined, corresponding most representative question sets are constructed to reveal the existence of determined factors in selected case studies. For each company, at least two different respondents from different departments (R&D, product development, production, supplier support & development) are selected to ensure the reliability of research. The results of the survey are analyzed in terms of distribution, factor and regression analyses. Factor analysis is used to test the construct validity of the data and to identify underlying constructs in the data, as well as to reduce the number of variables with an attempt to retain as much of the information as possible and make the remaining variables meaningful. In the stage of hypothesis testing, regression techniques are mainly employed in order to examine the relationship between independent variables and knowledge transfer separately. Through the proposed research, formalization of the effect of various parameters on success of two sided knowledge transfer for developing country case is achieved.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Murat Meta
AU  - Xiangdong Chen
PY  - 2017/09
DA  - 2017/09
TI  - A Comparative Study on Knowledge Transfer Between Turkish and Chinese in Manufacturing Industry
BT  - Proceedings of the International Conference on Transformations and Innovations in Management (ICTIM 2017)
PB  - Atlantis Press
SP  - 312
EP  - 332
SN  - 2352-5428
UR  - https://doi.org/10.2991/ictim-17.2017.24
DO  - 10.2991/ictim-17.2017.24
ID  - Meta2017/09
ER  -