publication . Part of book or chapter of book . 2008

Moving Segmentation Up the Supply-Chain: Supply Chain Segmentation and Artificial Neural Networks

Erevelles, Sunil; Fukawa, Nobuyuki;
Open Access English
  • Published: 01 Feb 2008
  • Publisher: InTech
Abstract
This paper explained the concept of supply-side segmentation and transvectional alignment, and applies these concepts in the artificial neural network (ANN). To the best of our knowledge, no research has applied ANN in explaining the heterogeneity of both the supply-side and demand-side of a market in forming relational entity that consists of firms at all levels of the supply chain and the demand chain. The ANN offers a way of operationalizing the concept of supply-side segmentation. In today's business environment, where competition occurs more among the networks that consist of sets of firms rather than simply among firms, researchers and practitioners need t...
Download from
InTech
Part of book or chapter of book . 2008
Provider: InTech
26 references, page 1 of 2

Alderson, W. (1965). Dynamic Marketing Behavior, Richard D. Irwin Inc., Homewood, Illinois.

Alderson, W., & Martin, M. W. (1965). Toward a Formal Theory of Transactions and Transvections. Journal of Marketing Research , 2(2), 117-127.

Boone, D. S., & Roehm, M. (2002). Evaluating the appropriateness of market segmentation solutions using artificial neural networks and the membership clustering criterion. Marketing letters, 13(4), pp. 317-333. [OpenAIRE]

Clancy, K. J., & Roberts, M. L. (1983). Toward an optimal market target: A strategy for market segmentation, Journal of Consumer Marketing, 1(1), pp. 64-73.

Dasgupta, C. G.; Dispensa, G. S. & Ghose, S. (1994). Comparing the predictive performance of a neural network model with some traditional market response models. International Journal of Forecasting, 10(2), pp. 235-244.

Dickson, P. R. & Ginter, J. L. (1987). Market segmentation, product differentiation, and market strategy. Journal of Marketing, 51 (2), pp.1-10.

D'Innocenzio, A. 2003. Wal-Mart suppliers flocking to Arkansas, The State.com, Sep. 21 (Available at http://www.thestate.com/mld/state/business/6824338.htm) Dreyfus, G. (2005). Neural Networks: Methodology and Applications, Springer, New York.

Entrepreneur.com (2003). Ford, GM to sharply cut 2nd quarter output, small auto supplier expected to be hurt hardest., Autoparts Report, March 19, (Available at http://www.entrepreneur.com/tradejournals/article/98956237.html) Erevelles, S. & Stevenson, T. H. (2006). Enhancing the business-to-business supply chain: Insights from partitioning the supply-side. Industrial Marketing Management, 35(4), 481-492.

Erevelles, S.; Vargo, S. & Horton, V. (2001). Supply-side and transvectional Segmentation, Marketing Management Journal, 11(2), 24-40.

Fish, K. E.; Barnes, J. H. & Aiken, M. W. (1995). Artificial neural networks: A new methodology for industrial market segmentation, Industrial Marketing Management, 24(5), pp. 431-438.

Ford Motor Company (2004). 2003/4 Corporate citizenship report. (Available at http://www.corporateregister.com/a10723/ford0304-cz-usa.pdf)

Green, P. E. & Krieger, A. M. (1991). Segmenting markets with conjoint analysis. Journal of Marketing, 55(4), 20.

Hair, J. F.; Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis, Prentice Hall, Upper Saddle River, N.J., pp. 684-692.

Hruschka, H. & Natter, M. (1999). Comparing performance of feedforward neural nets and K-means for cluster-based market segmentation, European Journal of Operational Research, 114(2), 346-353. [OpenAIRE]

Juttner, U.; Christopher, M., & Baker, S. (2007). Demand chain management-integrating marketing and supply chain management, Industrial Marketing Management, 36(3), pp. 377-392. [OpenAIRE]

26 references, page 1 of 2
Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue