Abstract
Supply chains today are increasingly depending on effective and efficient information exchanges between the value chain partners. Over the last decade, practices such as just in time management, quick response manufacturing and lean production systems have required coordinated and reliable information exchanges between trading partners (HBS 1991). Massive investments in information technology (IT) have been made by manufacturers, suppliers and logistics providers with the hope of achieving successful JIT implementation in their supply chains (Kekre et al., 1992; Schonberger 1986). From a managerial standpoint, these companies face the following questions:
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What are the operational gains accrued by the manufacturer and their suppliers?
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Does the technology payoff?
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References
Amemiya, T. 1985. Advanced Econometrics, Cambridge, MA: Harvard University Press.
Barua, A., C. H. Kriebel and T. Mukhopadhyay (March 1995). “Information Technologies and Business Value: An Analytic and Empirical Investigation.” Information Systems Research 6(1), 1–24.
Belsley, D. A., E. Kuh and R. E. Welsch (1980). Regression Diagnostics, New York: Wiley.
Breusch, T. S. and A. R. Pagan (September 1979). “A Simple Test for Heteroskedasticity and Random Coefficient Variation.” Econometrica 47(9), 1287–1294.
Brynjolfsson, E. (December 1993). “The Productivity Paradox of Information Technology.” Communications of the ACM 36(12), 66–77.
Chamberlain, G. (1980). “Analysis of Co-variance with Qualitative Data.” Review of Economic Studies 47, 225–238.
Goldfeld, S. M. and R. E. Quandt (1972). Nonlinear Methods in Econometrics, Amsterdam: North-Holland.
Gonul, F. and K. Srinivasan (Summer 1993). “Modeling Multiple Sources of Heterogeneity in Multinomial Logit Models: Methodological and Managerial Issues.” Market Sci. 12, 213–229.
Greene, W. H. (1990). Econometric Analysis, New York: MacMillan.
Hauser, J. R. (May 1978). “Testing the Accuracy, Usefulness and Significance of Probabilistic Choice Models: An Information Theoretic Approach.” Oper. Res. 26, 406–421.
Hausman, J. and D. Wise (1981). “Stratification on Endogenous Variables and Estimation: The Gary Income Maintenance Experiment.” Structural Analysis of Discrete Data with Econometric Applications, Cambridge, MA: MIT Press.
HBS (1991). “Chrysler Corporation: JIT and EDI (A).” Harvard Business School Case Study, 9-191-146, MA: Cambridge, MA.
Heckman, J. J. and B. Singer (1984). “A Method for Minimizing the Impact of Distributional Assumptions in Econometric Data for Duration Data.” Econometrica 52, 271–320.
Judge, George G., W. E. Griffiths, R. Carter Hill, N. Lütkepohl and T. C. Lee (1985). Theory and Practice of Econometrics, New York: John Wiley.
Kekre, S. and T. Mukhopadhyay (December 1992). “Impact of Electronic Data Interchange Technology on Quality Improvement and Inventory Reduction Programs: A Field Study.” Internationaljournal of Production Economics 28(3), 265–282.
Kmenta, Jan (1986). Elements of Econometrics, New York: MacMillan.
Mukhopadhyay, T, S. Kekre and S. Kalathur (June 1995). “Business Value of Information Technology: A Study of EDI.” MIS Quarterly, 137–156.
Mukhopadhyay, T., S. Kekre and T. Pokorney (1998). “Strategic and Operational Benefits of Electronic Data Interchange.” GSIA Working Paper, Carnegie Mellon University, Pittsburgh, PA.
Pindyck, R. S. and D. L. Rubinfeld (1981). Econometric Models and Economic Forecasts, New York: McGraw-Hill.
Schonberger, R. J. (1986). World Class Manufacturing: The Lessons of Simplicity Applied, New York: The Free Press.
Spencer, D. E. and K. N. Berk (July 1981). “A Limited Information Specification Test.”Econometrica 49(7), 1079–1085.
Srinivasan, K., Sunder Kekre and Tridas Mukhopadhyay (1994). “Impact of Electronic Data Interchange Technology Support on JIT Shipments.” Management Science 40(10), 1291–1304.
White, H. (April 1980). “A Heteroskedasticity-consistent Covariance Matrix Estimator and a Direct Test For Heteroskedasticity.” Econometrica 48(4), 817–838.
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Kekre, S., Mukhopadhyay, T., Srinivasan, K. (1999). Modeling Impacts of Electronic Data Interchange Technology. In: Tayur, S., Ganeshan, R., Magazine, M. (eds) Quantitative Models for Supply Chain Management. International Series in Operations Research & Management Science, vol 17. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4949-9_12
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DOI: https://doi.org/10.1007/978-1-4615-4949-9_12
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