3. Predicting the State of Interfirm Relationships: An Empirical Investigation Using Integrative Forecasting Techniques

Takao Ito1, Tsutomu Ito2, Rajiv Mehta3, Seigo Matsuno2, Makoto Sakamoto4
1Graduate School of Advanced Science and Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi Hiroshima, 739-7527, Japan
2Department of Business Administration, National Institute of Technology, Ube College, 2-14-1 Tokiwadai, Ube City, Yamaguchi Pref.,755-8555, Japan
3Martin Tuchman School of Management, New Jersey Institute of Technology, Newark, New Jersey, 07102-1982, U.S.A.
4Faculty of Engineering, University of Miyazaki, 1-1 Gakuen Kibanadai-Nishi, Miyazaki, 889-2192, Japan
pp. 175-180
ABSTRACT
The formation of successful corporate strategy among vertically integrated organizations is predicated upon a plethora of dynamic relationships among buyer-seller firms. Albeit growing in interest, there is a paucity of research that focuses on predicting the nature of interfirm relationships among Japanese keiretsu members. Discerning this knowledge can help formulate successful strategic decisions, such as whether to continue procuring parts or increasing future investments in partner firms. As studies on predicting interfirm relationships among keiretsu member firms has been scant, this research offers insights by illustrating a newer approach for making decisions regarding corporate strategy. Using data collected on transaction from Yokokai—parts suppliers of Mazda—in this study a new model is developed to predict the nature of interfirm relationships using the degree index and DEA model. The primary contribution of this research is that interfirm relationships not only depend on uture trends, but are also determined by the interactions among member firms of a keiretsu.

ARTICLE INFO
Article History
Received 11 November 2019
Accepted 07 September 2020

Keywords
Out-degree
Rate of change
Interfirm relationship
Cross-sectional interaction
Yokokai

JAALR1403

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