How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research-Reference-Cited by-同舟云学术

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How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research

Published:2020-03 Issue:2 Volume:57 Page:103168
ISSN:0378-7206
Container-title:Information & Management
language:en
Short-container-title:Information & Management

Author:

Benitez Jose,Henseler Jörg^ORCID,Castillo Ana,Schuberth Florian^ORCID

Funder

European Regional Development Fund

Government of Spain

Research Grant

Regional Government of Andalusia

COVIRAN-Prodware Chair of Digital Human Resource Strategy at the University of Granada

Publisher

Elsevier BV

Subject

Information Systems and Management,Information Systems,Management Information Systems

Reference134 articles.

1. A new incremental fit index for general structural equation models;Bollen;Sociol. Methods Res.,1989

2. Path models with latent variables: the NIPALS approach;Wold,1975

3. Using PLS path modeling in new technology research: updated guidelines;Henseler;Ind. Manage. Data Syst.,2016

4. The use of partial least squares structural equation modeling in Strategic Management research: a review of past practices and recommendations for future applications;Hair;Long Range Plann.,2012

5. An assessment of the use of partial least squares structural equation modeling in Marketing research;Hair;J. Acad. Mark. Sci.,2012

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