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The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling

Open access
Hult, G. Tomas M., Hair, Joseph F., Proksch, Dorian, Sarstedt, Marko, Pinkwart, Andreas, Ringle, Christian M.·2018·Journal of International Marketing
DOI 10.1509/jim.17.0151
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Abstract

Partial least squares structural equation modeling (PLS-SEM) has become a key method in international marketing research. Users of PLS-SEM have, however, largely overlooked the issue of endogeneity, which has become an integral component of regression analysis applications. This lack of attention is surprising because the PLS-SEM method is grounded in regression analysis, for which numerous approaches for handling endogeneity have been proposed. To identify and treat endogeneity, and create awareness of how to deal with this issue, this study introduces a systematic procedure that translates control variables, instrumental variables, and Gaussian copulas into a PLS-SEM framework. We illustrate the procedure's efficacy by means of empirical data and offer recommendations to guide international marketing researchers on how to effectively address endogeneity concerns in their PLS-SEM analyses.

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Show all 10 references

Research works printed but not linked: 89

  1. 10.1108/IJCHM-10-2016-0568 · DOI · Paper page
  2. 10.2307/2297968 · DOI · Paper page
  3. 10.1177/1476127008094339 · DOI · Paper page
  4. 10.25300/MISQ/2013/37.3.01 · DOI · Paper page
  5. BenitezJose, HenselerJörg and RoldánJosé L. (2016), “How to Address Endogeneity in Partial Least Squares Path Modeling,” paper presented at the 22nd Americas Conference on Information Systems (ACIS), San Diego, CA (August 11–14).
  6. 10.1016/S0969-6989(01)00002-9 · DOI
  7. 10.1509/jmkr.42.2.141.62296 · DOI · Paper page
  8. 10.1007/s11336-013-9335-3 · DOI
  9. 10.3386/t0137 · DOI
  10. 10.1080/01621459.1995.10476536 · DOI
  11. 10.1177/1094428115619013 · DOI
  12. 10.1509/jim.14.0045 · DOI
  13. 10.1007/s11747-011-0300-3 · DOI · Paper page
  14. 10.25300/MISQ/2015/39.2.02 · DOI · Paper page
  15. Ebbes Peter, 2017, Handbook of Market Research, 1
  16. 10.1287/mksc.1110.0666 · DOI
  17. 10.1007/s11129-005-1177-6 · DOI
  18. 10.1007/978-3-540-32827-8_22 · DOI
  19. 10.1509/jim.12.0099 · DOI
  20. 10.2307/1910996 · DOI · Paper page
  21. Hair Joseph F., 2017, A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
  22. Hair Joseph F., 2018, Advanced Issues in Partial Least Squares Structural Equation Modeling (PLS-SEM).
  23. 10.1080/10705510903439003 · DOI · Paper page
  24. 10.1057/palgrave.jibs.8400398 · DOI · Paper page
  25. Hult G. Tomas M., 2009, globalEdge Business Review, 3, 1
  26. 10.1016/j.ijresmar.2012.09.003 · DOI
  27. 10.1108/IMR-02-2015-0020 · DOI
  28. 10.1509/jim.15.0164 · DOI
  29. 10.1007/BF02293808 · DOI · Paper page
  30. 10.1016/0969-6989(95)00038-0 · DOI · Paper page
  31. 10.1111/j.1467-9531.2009.01217.x · DOI
  32. 10.2307/1885068 · DOI · Paper page
  33. 10.1509/jim.15.0112 · DOI
  34. 10.1016/j.jacceco.2009.11.004 · DOI
  35. 10.1509/jim.15.0166 · DOI
  36. 10.1108/07363760610674338 · DOI
  37. 10.1287/mksc.1060.0256 · DOI
  38. 10.1007/978-3-642-52512-4 · DOI
  39. 10.1080/03610921003778225 · DOI · Paper page
  40. 10.1177/1094428114529165 · DOI
  41. 10.1086/209450 · DOI · Paper page
  42. 10.1257/jep.20.4.111 · DOI · Paper page
  43. 10.2139/ssrn.843185 · DOI
  44. 10.1016/j.jbusres.2003.10.001 · DOI
  45. 10.1509/jim.16.0031 · DOI
  46. 10.1007/978-3-319-53469-5_18 · DOI · Paper page
  47. 10.1287/mksc.1120.0718 · DOI · Paper page
  48. 10.1509/jmkr.47.1.3 · DOI · Paper page
  49. 10.1016/j.ijhm.2015.01.015 · DOI
  50. 10.1007/978-3-319-71691-6_4 · DOI
  51. 10.1002/smj.2248 · DOI · Paper page
  52. 10.1287/isre.1100.0340 · DOI
  53. 10.1057/jibs.2011.60 · DOI · Paper page
  54. 10.1108/IMR-04-2014-0148 · DOI · Paper page
  55. 10.15358/0344-1369-2017-3-4 · DOI · Paper page
  56. Ringle Christian M., 2018, International Journal of Human Resource Management
  57. Ringle Christian M., 2015, SmartPLS 3.
  58. 10.1108/IMDS-07-2015-0317 · DOI
  59. 10.1177/1094428112474693 · DOI · Paper page
  60. 10.1287/mksc.2014.0860 · DOI · Paper page
  61. 10.1016/j.ijresmar.2018.01.005 · DOI · Paper page
  62. 10.1016/j.jbusres.2016.06.007 · DOI
  63. 10.1007/978-3-642-53965-7 · DOI · Paper page
  64. 10.1007/978-3-319-05542-8_15-1 · DOI · Paper page
  65. 10.1007/978-3-319-64069-3_9 · DOI · Paper page
  66. 10.1016/j.jwb.2012.07.017 · DOI
  67. 10.1016/j.jbusres.2016.04.009 · DOI
  68. 10.1007/BF03396685 · DOI · Paper page
  69. 10.1002/smj.2136 · DOI · Paper page
  70. 10.1214/10-STS330 · DOI · Paper page
  71. 10.1509/jim.16.0075 · DOI
  72. 10.1108/IMR-06-2014-0199 · DOI
  73. 10.1177/1094428110366303 · DOI
  74. 10.2307/2171753 · DOI · Paper page
  75. StataCorp, 2015, Stata Statistical Software: Release 14.
  76. 10.1198/073500102288618658 · DOI · Paper page
  77. 10.1509/jim.15.0088 · DOI
  78. 10.1108/IMR-08-2016-0154 · DOI
  79. 10.1007/s11747-015-0457-2 · DOI
  80. 10.1509/jim.14.0049 · DOI
  81. 10.1177/009207039302100206 · DOI
  82. 10.1287/mnsc.45.10.1324 · DOI · Paper page
  83. 10.1016/j.jbusres.2007.11.018 · DOI · Paper page
  84. 10.1509/jim.16.0022 · DOI
  85. Wold Herman O.A., 1982, Systems Under Indirect Observations: Part II
  86. 10.1016/j.jbusres.2012.12.021 · DOI
  87. WooldridgeJeffrey M. (2010), Econometric Analysis of Cross Section and Panel Data, 2nd ed. Cambridge, MA: MIT Press.
  88. 10.3368/jhr.50.2.420 · DOI · Paper page
  89. 10.4337/9781781001042.00029 · DOI

Cited by

Metadata

Authors
Hult, G. T. M., Hair, J. F., Proksch, D., Sarstedt, M., Pinkwart, A., & Ringle, C. M.
Venue
Journal of International Marketing
Publisher
SAGE Publications
Published
2018-09
Volume
26
Issue
3
Pages
1-21
ISSN
  • 1069-031X (ISSN-L)
  • 1547-7215
DOI
10.1509/jim.17.0151
OpenAlex
W2804444475
Cited by
1,241
References
10
FWCI
37.78
Type
journal article
Language
en
Open access
green
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.