Abstract
Prediction of the performance of international joint ventures remains a relatively under‐researched area, yet its importance is well recognized due to the tremendous surge in joint venture activities in the past decade. Data on 1,463 Sino‐Hong Kong joint ventures were gathered and those that appeared on the Honor Roll of the China Association of Enterprises with Foreign Investment are identified. Neural network models were used to relate the posterior probability ‐ the probability that a venture gets on the Honor Roll ‐ and the seven economic variables. A simple and yet powerful method called the ensemble method was used to estimate the posterior probability. The results indicate that every variable, except one, has influence on the probability of success. Perhaps more important, the results demonstrate that the modeling approach is able to mine useful information from the data set.
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References
B. Ahn, Forward additive neural network models, Ph.D. Dissertation, Kent State University, 1996.
E. Anderson and H. Gatignon, Modes of foreign entry: A transaction cost analysis and propositions, Journal of International Business Studies 11(1986)1-26.
P. Beamish, Joint venture performance in developing countries, unpublished Doctoral Dissertation. The University of Western Ontario, 1984.
P. Beamish and J. Banks, Equity joint ventures and the theory of the multinational enterprise, Journal of International Business Studies (Summer, 1987)1-16.
F. Contractor and P. Lorange, Cooperative Strategies in International Business, Lexington Books, Boston, 1988.
W. Davidson, Creating and managing joint ventures in China, California Management Review 29(1987)77-94.
R.O. Duda and P. Hart, Pattern Classification and Scene Analysis, Wiley, New York, 1973.
J. Dunning, Explaining changing patterns of international production: In defence of the eclectic theory, Oxford Bulletin of Economics and Statistics (November, 1979)269-296.
L. Franko, Joint Venture Survival in Multinational Corporations, Free Press, New York, 1971.
M. Geringer and L. Hebert, Control and performance of international joint ventures, Journal of International Business Studies 20(1989)233-253.
M. Geringer and L. Hebert, Measuring performance of international joint ventures, Journal of International Business Studies 22(1991)249-263.
B. Gomes-Casseres, Ownership structures of foreign subsidiaries, theory and evidence, Journal of Economic Behavior and Organization 11(1989)1-25.
J. Hennart, A transaction costs theory of joint ventures, Strategic Management Journal 9(1988) 361-374.
M. Y. Hu and H. Chen, An empirical analysis of factors explaining foreign joint ventures performance in China, Journal of Business Research 35(1996)165-173.
M.Y. Hu, M.S. Hung, M.S. Shanker and H. Chen, Using neural networks to predict the performance of Sino-foreign joint ventures, International Journal of Computational Intelligence and Organizations 1(3)(1996)134-143.
M.S. Hung, M.Y. Hu, M.S. Shanker and B.E. Patuwo, Estimating posterior probabilities in classification problems with neural networks, International Journal of Computational Intelligence and Organizations 1(1996)49-60.
P. Killing, Strategies for Joint Venture Success, Praeger, New York, 1983.
B. Kogut, Joint ventures: Theoretical and empirical perspectives, Strategic Management 9(1988) 319-332.
B. Kogut, The stability of joint ventures: Reciprocity and competitive rivalry, The Journal of Industrial Economics 38(1989)183-198.
D. Lecraw, Performance of transnational corporations in less developed countries, Journal of International Business Studies 14(1983)15-33.
C. Lee, International production of the United States and Japan in Korean manufacturing industries: A comparative study, Weltwirtschaftliches Archiv 119(1983)745-753.
Ministry of Foreign Economic Relation and Trade, various editions, Almanac of China's Foreign Economic Relations and Trade, Beijing, China.
P. Munro and B. Parmanto, Competition among networks improves committee performance, in: Advances in Neural Information Processing Systems 9, eds. D. Touretzky, M. Mozer and M. Hasselmo, MIT Press, Cambridge, MA, 1997.
J. Nocedal, Updating quasi-Newton matrices with limited storage, Mathematics of Computation 35(1980)752-773.
E. Patuwo, M. Hu, M. Shanker and M. Hung, Neural network analysis of performance of Sino-Hong Kong joint ventures, in: International Conference on Management Science and The Economic Development of China, Hong Kong, 1996.
People's Daily, Commendation for outstanding foreign investment enterprises in China from China Association of enterprises with foreign investment, July 16, 1991.
M. Perrone and L. Cooper, When networks disagree: Ensemble methods for hybrid neural networks, in: Artificial Neural Networks for Speech and Vision, ed. R. Mammone, Chapman and Hall, London, 1993, pp. 127-142.
J. Reynolds, The “pinched shoe” effect of international joint ventures, Columbia Journal of World Business (1984)23-29.
J. Schaan and P. Beamish, Joint venture general managers in LDCs, in: Cooperative Strategies in International Business, eds. F.J. Contractor and P. Lorange, Lexington Books, Boston, 1988, pp. 279-299.
O. Shenkar and Y. Zeira, Role conflict and role ambiguity of chief executive officers in international joint ventures, Journal of International Business Studies 23(1992)55-75.
M. Teagarden and M. Von Glinow, Sino-foreign strategic alliance type and related operating characteristics, International Studies of Management and Organization 20(1990)99-108.
J. Tomlinson, The Joint Venture Process in International Business: India and Pakistan, MIT Press, Cambridge, MA, 1970.
US-China Business Council, Special Report on U.S. Investment in China, The China Business Forum, Washington, DC, 1990.
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Hu, M., Hung, M., Patuwo, B. et al. Estimating the performance of Sino‐Hong Kong joint ventures using neuralnetwork ensembles. Annals of Operations Research 87, 213–232 (1999). https://doi.org/10.1023/A:1018928902137
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DOI: https://doi.org/10.1023/A:1018928902137