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dc.date.accessioned2021-01-24T02:49:29Z
dc.date.available2021-01-24T02:49:29Z
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/22258
dc.typegrantor
oapen.relation.funds55318a83-d91e-4dd2-aaf3-964d0de7f3ec
oapen.relation.funds48909f45-992f-40af-b937-7310457cde93
oapen.relation.funds1bc1d7dc-6daf-4f78-bee0-eeda7b7b220a
grantor.nameOtto von Guericke University Magdeburg
grantor.acronymOtto-von-Guericke-Universität Magdeburg
grantor.acronymOVGU
grantor.doi10.13039/501100012320


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Funded publications

  • Hair Jr., Joseph F.; Hult, G. Tomas M.; Ringle, Christian M.; Sarstedt, Marko; Danks, Nicholas P.; Ray, Soumya (2021)
    Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of ...
  • Hair Jr., Joseph F.; Hult, G. Tomas M.; Ringle, Christian M.; Sarstedt, Marko; Danks, Nicholas P.; Ray, Soumya (2021)
    Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of ...
  • Hair Jr., Joseph F.; Hult, G. Tomas M.; Ringle, Christian M.; Sarstedt, Marko; Danks, Nicholas P.; Ray, Soumya (2021)
    Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of ...