Measurement and moderation: Finding the boundary conditions in logistics and supply chain research

Journal of Business Logistics

Volumn 34, Issue 2, 2013, Pages 109-116

  Goldsby, Thomas J ^a   Michael Knemeyer, A ^a   Miller, Jason W ^a   Wallenburg, Carl Marcus ^b  

^a OHIO STATE UNIVERSITY   (United States)

^b WHU OTTO BEISHEIM SCHOOL OF MANAGEMENT   (Germany)

Author keywords

boundary conditions; empirical methods; interactions; measurement; moderation analysis

Indexed keywords

EID: 84894493068     PISSN: 07353766     EISSN: 21581592     Source Type: Journal    
DOI: 10.1111/jbl.12013     Document Type: Article

References (45)

1. Aguinis, H., and, Gottfredson, R.K., 2010. " Best-Practice Recommendations for Estimating Interaction Effects Using Moderated Multiple Regression." Journal of Organizational Behavior 31 (6): 776-86.
2. Aiken, L.S., and, West, S.G., 1991. Multiple Regression: Testing and Interpreting Interactions. Thousand Oaks, CA: Sage Publications, Inc.
3. Bagozzi, R.P., 2011. " Measurement and Meaning in Information Systems and Organizational Research: Methodological and Philosophical Foundations." MIS Quarterly 35 (2): 261-92.
4. Bauer, D.J., and, Curran, P.J., 2005. " Probing Interactions in Fixed and Multilevel Regression: Inferential and Graphical Techniques." Multivariate Behavioral Research 40 (3): 373-400.
5. Busemeyer, J.R., and, Jones, L.E., 1983. " Analysis of Multiplicative Combination Rules When the Casual Variables Are Measured With Error." Psychological Bulletin 93 (3): 549-62.
6. Byrne, B.M., 2009. Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming. 2nd ed. New York: Routledge Academic.
7. Cahill, D.L., Goldsby, T.J., Knemeyer, A.M., and, Wallenburg, C.M., 2010. " Customer Loyalty in Logistics Outsourcing Relationships: An Examination of the Moderating Effects of Conflict Frequency." Journal of Business Logistics 31 (2): 253-77.
8. Chen, F.F., 2007. " Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance." Structural Equation Modeling 14 (3): 464-504.
9. Chin, W.W., Thatcher, J.B., and, Wright, R.T., 2012. " Assessing Common Method Bias: Problems With the ULMC Technique." MIS Quarterly 36 (3): 1003-19.
10. Cohen, J., 1988. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Mahwah, NJ: Erlbaum.
11. Cohen, J., Cohen, P., West, S.G., and, Aiken, L.S., 2003. Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. 3rd ed. New York: Routledge.
12. Dalal, D.K., and, Zickar, M.J., 2012. " Some Common Myths About Centering Predictor Variables in Moderated Multiple Regression and Polynomial Regression." Organizational Research Methods 15 (3): 339-62.
13. Davis, M.S., 1971. " That's Interesting! Towards a Phenomenology of Sociology and a Sociology of Phenomenology." Philosophy of the Social Sciences 1 (4): 309-44.
14. Echambadi, R., and, Hess, J.D., 2007. " Mean-Centering Does not Alleviate Collinearity Problems in Moderated Multiple Regression Models." Marketing Science 26 (3): 438-45.
15. Edwards, J.R., and, Berry, J.W., 2010. " The Presence of Something or the Absence of Nothing: Increasing Theoretical Precision in Management Research." Organizational Research Methods 13 (4): 668-89.
16. Evans, M.G., 1985. " A Monte Carlo Study of the Effects of Correlated Method Variance in Moderated Multiple Regression Analysis." Organizational Behavior and Human Decision Processes 36 (3): 305-23.
17. Fawcett, S.E., and, Waller, M.A., 2011. " Moving the Needle: Making a Contribution When the Easy Questions Have Been Answered." Journal of Business Logistics 32 (4): 291-95.
18. Flynn, B.B., Huo, B., and, Shai, X., 2010. " The Impact of Supply Chain Integration on Performance: A Contingency and Configuration Approach." Journal of Operations Management 28 (1): 58-71.
19. Goldsby, T.J., and, Autry, C.W., 2011. " Toward Greater Validation of Supply Chain Management Theory and Concepts: The Roles of Research Replication and Meta-Analysis." Journal of Business Logistics 32 (4): 324-31.
20. Gray, P.H., and, Cooper, W.H., 2010. " Pursuing Failure." Organizational Research Methods 13 (4): 620-43.
21. Hall, J.A., and, Rosenthal, R., 1991. " Testing for Moderator Variables in Meta-Analysis: Issues and Methods." Communication Monographs 58 (4): 437-48.
22. Hayes, A.F., Glynn, C.J., and, Huge, M.E., 2012. " Cautions Regarding the Interpretation of Regression Coefficients and Hypothesis Tests in Linear Models With Interactions." Communication Methods and Measures 6 (1): 1-11.
23. Hayes, A.F., and, Matthes, J., 2009. " Computational Procedures for Probing Interactions in OLS and Logistic Regression: SPSS and SAS Implementations." Behavioral Research Methods 41 (3): 924-36.
24. Hayes, A.F., and, Preacher, K.J., 2010. " Quantifying and Testing Indirect Effects in Simple Mediation Models When the Constituent Paths Are Nonlinear." Multivariate Behavioral Research 45: 627-60.
25. Irwin, J.R., and, McClelland, G.H., 2001. " Misleading Heuristics and Moderated Multiple Regression Models." Journal of Marketing Research 38 (1): 100-109.
26. Kelava, A., Werner, C.S., Schermelleh-Engel, K., Moosbrugger, H., Zapf, D., Ma, Y., and, West, S.G., 2011. " Advanced Nonlinear Latent Variable Modeling: Distribution Analytic LMS and QML Estimators of Interaction and Quadratic Effects." Structural Equation Modeling 18 (3): 465-491.
27. Keppel, G., and, Wickens, T.D., 2004. Design and Analysis: A Researcher's Handbook. 4th ed. Upper Saddle River, NJ: Pearson Prentice Hall.
28. Kim, J.-O., and, Mueller, C.W., 1976. " Standardized and Unstandardized Coefficients in Causal Analysis: An Expository Note." Sociological Methods & Research 4 (4): 423-38.
29. Knemeyer, A.M., and, Naylor, R.W., 2011. " Using Behavioral Experiments to Expand Our Horizons and Deepen Our Understanding of Logistics and Supply Chain Decision Making." Journal of Business Logistics 32 (4): 296-302.
30. Leavitt, K., Mitchell, T.R., and, Peterson, J., 2010. " Theory Pruning: Strategies to Reduce Our Dense Theoretical Landscape." Organizational Research Methods 13 (4): 644-67.
31. Maloni, M.J., and, Carter, C.R., 2006. " Opportunities for Research in Third-Party Logistics." Transportation Journal 45 (Spring): 23-39.
32. Marsh, H.W., Muthén, B., Asparouhov, T., Lüdtke, O., Robitzsch, A., Morin, A.J., and, Trautwein, U., 2009. " Exploratory Structural Equation Modeling, Integrating CFA and EFA: Application to Students' Evaluations of University Teaching." Structural Equation Modeling 16 (3): 439-76.
33. Miller, J.W., Stromeyer, W.R., and, Schwieterman, M.A., 2013. " Extensions of the Johnson-Neyman Technique to Linear Models With Curvilinear Effects: Derivations and Analytical Tools." Multivariate Behavioral Research 48 (2): 267-300.
34. Mittal, V., Ross, W.T., and, Baldasare, P.M., 1998. " The Asymmetric Impact of Negative and Positive Attribute-Level Performance on Overall Satisfaction and Repurchase Intentions." Journal of Marketing 62 (1): 33-47.
35. Newsom, J.T., Prigerson, H.G., Schulz, R., and, Reynolds, C.F., III,. 2003. " Investigating Moderator Hypotheses in Aging Research: Statistical, Methodological, and Conceptual Difficulties With Comparing Seperate Regressions." International Journal of Aging and Human Development 57 (2): 119-50.
36. Oliver, R.L., 1980. " A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions." Journal of Marketing Research 17 (November): 460-69.
37. Platt, J.R., 1964. " Strong Inference." Science 146 (3642): 347-53.
38. Podsakoff, P.M., MacKenzie, S.B., Lee, J.-Y., and, Podsakoff, N.P., 2003. " Common Method Biases in Behavioral Research: A Crtitical Review of the Literature and Recommended Remedies." Journal of Applied Psychology 88 (5): 879-903.
39. Popper, K.R., 1959. The Logic of Scientific Discovery. London: Hutchinson.
40. Preacher, K.J., Curran, P.J., and, Bauer, D.J., 2006. " Computational Tools for Probing Interactions in Multiple Linear Regression, Multilevel Modeling, and Latent Curve Analysis." Journal of Educational and Behavioral Statistics 31 (3): 437-48.
41. Richardson, H.A., Simmering, M.J., and, Sturman, M.C., 2009. " A Tale of Three Perspectives: Examining Post Hoc Statistical Techniques for Detection and Correction of Common Method Variance." Organizational Research Methods 12 (4): 762-800.
42. Rindfleisch, A., Malter, A.J., Ganesan, S., and, Moorman, C., 2008. " Cross-Sectional Versus Longitudinal Survey Research: Concepts, Findings, and Guidelines." Journal of Marketing Research 45 (3): 261-79.
43. Siemsen, E., Roth, A., and, Oliveira, P., 2010. " Common Method Bias in Regression Models With Linear, Quadratic, and Interaction Effects." Organizational Research Methods 13 (3): 456-76.
44. Vandenberg, R.J., and, Lance, C.E., 2000. " A Review and Synthesis of the Management Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research." Organizational Research Methods 3 (1): 4-70.
45. Zsidisin, G.A., and, Wagner, S.M., 2010. " Do Perceptions Become Reality? The Moderating Role of Supply Chain Resiliency on Disruption Occurrence." Journal of Business Logistics 31 (2): 1-20.