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Structural equation model
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Miller, Jason W.
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Journal of business logistics : JBL
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Combining formal controls to improve firm performance
Miller, Jason W.
;
Saldanha, John P.
;
Hunt, C. Shane
; …
- In:
Journal of business logistics : JBL
34
(
2013
)
4
,
pp. 301-318
Persistent link: https://www.econbiz.de/10010243155
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2
Linking formal controls to motor carrier performance : curvilinear and interaction effects
Saldanha, John P.
;
Miller, Jason W.
;
Hunt, C. Shane
; …
- In:
Transportation research / E : an international journal
64
(
2014
),
pp. 28-47
Persistent link: https://www.econbiz.de/10010362942
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3
The prowess and pitfalls of Bayesian structural equation modeling : important considerations for management research
Stromeyer, William R.
;
Miller, Jason W.
; …
- In:
Journal of management : JOM
41
(
2015
)
2
,
pp. 491-520
Persistent link: https://www.econbiz.de/10010482152
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4
Bayesian structural equation modeling with cross-loadings and residual covariances : comments on Stromeyer et al.
Asparouhov, Tihomir
;
Muthén, Bengt
;
Morin, Alexandre J. S.
- In:
Journal of management : JOM
41
(
2015
)
6
,
pp. 1561-1577
Persistent link: https://www.econbiz.de/10011339759
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5
A primer on moderated mediation analysis : exploring logistics involvement in new product development
Calantone, Roger J.
;
Whipple, Judith M.
;
Wang, Xinran
; …
- In:
Journal of business logistics : JBL
38
(
2017
)
3
,
pp. 151-169
Persistent link: https://www.econbiz.de/10011762628
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