Title: Profiling of sunk cost industries by soft clustering techniques: Turkey case
Authors: M. Akif Arvas; Ahmet Selman Bozkır
Department of Economics, Van Yüzüncü Yıl University, Zeve Campus, 65080 Van, Turkey
Department of Computer Science, Hacettepe University, Beytepe Campus, 06800, Ankara, Turkey
Abstract: The aim of this study is to determine the convenience of Sutton's game-theoretic sunk cost theory by profiling Turkish manufacturing industries via fuzzy c-means (FCM) and expectation-maximisation (EM) clustering methods. The effects of sunk costs on market structure are analysed separately for exogenous and endogenous sunk cost industries in Turkish manufacturing sectors in the period 1992-2001. The results suggest that as market size increases, so does the level of advertising and R&D outlays leading to a concentrated market structure in endogenous sunk cost industries. On the other hand, in exogenous sunk cost industries, market structure becomes more competitive and number of new entrant firms rise as market size growths. According to the profiles constituted by FCM and EM methods, these findings are consistent with Sutton's predictions. Furthermore, the most important factors which discriminates the clusters are revealed by FCM method.
Keywords: Turkey; manufacturing industry; sunk cost industries; fuzzy clustering; expectation-maximisation clustering; Sutton; game theoretic sunk cost theory; fuzzy c-means; fuzzy logic; market structure; game theory; market size; advertising; R&D outlay; research and development.
Int. J. of Industrial and Systems Engineering, 2013 Vol.15, No.3, pp.290 - 303
Available online: 29 Aug 2013