Just-in-time management and transportation service performance in a cross-border setting

Transportation Journal

Volumn 36, Issue 3, 1997, Pages 31-40

  Stank, Theodore P ^a   Crum, Michael R ^b  

^a MICHIGAN STATE UNIVERSITY   (United States)

^b IOWA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0031476030     PISSN: 00411612     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (30)

1. D.L. Anderson and R.J. Quinn, "The Role of Transportation in Long Supply Line Just-In-Time Logistics Channels," Journal of Business Logistics, Vol. 7, No. 1, 1986, pp. 68-87 as cited in Michael S. Spencer and Patricia J. Daugherty, "A Review of JIT Transportation Literature and Proposed Directions for Future Research," Journal of Transportation Management, Vol. V, No. 1, 1993, p.33.
2. D.L. Anderson and R.J. Quinn, "The Role of Transportation in Long Supply Line Just-In-Time Logistics Channels," Journal of Business Logistics, Vol. 7, No. 1, 1986, pp. 68-87 as cited in Michael S. Spencer and Patricia J. Daugherty, "A Review of JIT Transportation Literature and Proposed Directions for Future Research," Journal of Transportation Management, Vol. V, No. 1, 1993, p.33.
3. Stanley E. Fawcett and Sheldon R. Smith, "Logistics Measurement and Performance for the United States-Mexican Operations Under NAFTA," Transportation Journal, Vol. 34, No. 3, Spring 1995, p. 32.
4. Stanley E. Fawcett, John C. Taylor, and Sheldon R. Smith, "The Realities of Operating in Mexico: An Exploration of Manufacturing and Logistics Issues," International Journal of Physical Distribution and Logistics Management, Vol. 25, No. 3, 1995, p. 63.
5. Spencer and Daugherty, op cit., pp. 27-39.
6. J.H. Bookbinder and D.M. Dilts, "Logistics Information Systems in a Just-In-Time Environment," Journal of Business Logistics, Vol. 19, No. 1, 1989, pp. 50-65 as cited in Spencer and Daugherty, op. cit., 38.
7. J.H. Bookbinder and D.M. Dilts, "Logistics Information Systems in a Just-In-Time Environment," Journal of Business Logistics, Vol. 19, No. 1, 1989, pp. 50-65 as cited in Spencer and Daugherty, op. cit., 38.
8. B.F. O'Neil, "Information - A Viable Substitute for Inventory," The Logistics and Transportation Review, Vol. 22, No. 2, 1986, pp. 83-89 as cited in Spencer and Daugherty, op. cit., 37.
9. B.F. O'Neil, "Information - A Viable Substitute for Inventory," The Logistics and Transportation Review, Vol. 22, No. 2, 1986, pp. 83-89 as cited in Spencer and Daugherty, op. cit., 37.
10. J.F. Watson, D. Graddy, and D. Longchamps, "A Vendor and Transportation Management Program to Support JIT," Proceedings of the Annual Conference of the Council of Logistics Management, Vol. II, Oak Brook, IL: Council of Logistics Management, 1986, pp. 315-326
11. as cited in Spencer and Daugherty, op. cit. 38.
12. D.V. Harper and K.S. Goodner, "Just-In-Time and Inbound Transportation." Transportation Journal, Vol. 30, No. 2, 1990, pp. 22-31 as cited in Spencer and Daugherty, op. cit., p. 36.
13. D.V. Harper and K.S. Goodner, "Just-In-Time and Inbound Transportation." Transportation Journal, Vol. 30, No. 2, 1990, pp. 22-31 as cited in Spencer and Daugherty, op. cit., p. 36.
14. J.H. Perry, "Firm Behavior and Operating Performance in Just-In-Time Logistics Channels," Journal of Business Logistics, Vol. 9, No. 1, 1988, pp. 19-33 as cited in Spencer and Daugherty, op. cit., 35.
15. J.H. Perry, "Firm Behavior and Operating Performance in Just-In-Time Logistics Channels," Journal of Business Logistics, Vol. 9, No. 1, 1988, pp. 19-33 as cited in Spencer and Daugherty, op. cit., 35.
16. Bookbinder and Dilts as cited in Spencer and Daugherty, op. cit., 38.
17. K. Rao, W.L. Grenoble, and R. Young, "Traffic Congestion and JIT," Journal of Business Logistics, Vol. 12, No. 1, 1991, pp. 105-122 as cited in Spencer and Daugherty, op. cit., p. 39.
18. K. Rao, W.L. Grenoble, and R. Young, "Traffic Congestion and JIT," Journal of Business Logistics, Vol. 12, No. 1, 1991, pp. 105-122 as cited in Spencer and Daugherty, op. cit., p. 39.
19. K. Rao and W.L. Grenoble, IV, "Modeling the Effects of Traffic Congestion on JIT," International Journal of Physical Distribution and Logistics Management, Vol. 21, No. 2, 1991, pp. 3-9 as cited in Spencer and Daugherty, op. cit., 39.
20. K. Rao and W.L. Grenoble, IV, "Modeling the Effects of Traffic Congestion on JIT," International Journal of Physical Distribution and Logistics Management, Vol. 21, No. 2, 1991, pp. 3-9 as cited in Spencer and Daugherty, op. cit., 39.
21. Perry as cited in Spencer and Daugherty, op. cit., p. 35
22. Fawcett, Taylor, and Smith, op. cit., pp. 63-64.
23. Rafael J. Valdes and Michael R. Crum, "U.S. Motor Carrier Perspectives on Trucking to Mexico," Transportation Journal, Vol. 33, No. 4, Summer 1994, pp. 5-20.
24. Joshua A. Cohen, "The Rise of the Maquiladoras," Business Mexico, Vol. 9, special issue 1994, pp. 54-58.
25. The Complete Twin Plant Guide, El Paso, TX: Solunet, Inc., 1995.
26. The last quartile of respondents was assumed to be most similar to nonrespondents since their replies took the longest time and most effort to obtain. The responses given by the last quartile were compared with those provided by the first three quartiles. Comparison of means of the responses given by each group revealed only six significant differences (at p ≤ .05) out of 159 variables analyzed (J. Scott Armstrong and Terry S. Overton, "Estimating Non-Response Bias in Mail Surveys," Journal of Marketing Research, Vol. 14, No. 3, 1977, pp. 396-402).
27. All scale measures were reliable as Cronbach's alpha values equal to or greater than 0.70 are generally accepted as indicating reliable scales (Gilbert A. Churchill, Jr., "A Paradigm for Developing Better Measures of Marketing Constructs," Journal of Marketing Research, Vol. 16, No. 4, 1979, pp. 64-73).
28. The overall JIT score could range from 51 to 255 (i.e., each item ranged from 1 to 5 and 51 individual items comprised the overall JIT score). The actual range for the sample was 62 to 225. Cluster analysis for two groups established a cutoff score of 108. This resulted in 15 respondents classified as JIT firms and 36 firms as non-JIT.
29. Firms were placed in the "high" grouping if they had a mean score on the multiple-item scale of 2 or less, consistent with the results of the cluster analysis used to classify firms as JIT or non-JIT. Firms were placed in the "low" grouping if they had mean scores of 3 or greater. This eliminated 7 firms that had mean scores between 2 and 3. The authors adopted this conservative cutoff to ensure that there was a clear distinction between firms in the "high" group and those in the "low" group. For comparison, an analysis was run using firms with mean scores of less than 3 as the "high" group and firms with mean scores of 3 or greater in the "low" group. The results were not substantially different from those reported in the article using the more conservative grouping categories.
30. Fawcett and Smith, op. cit., p. 32.