A structured review of partial least squares in supply chain management research

L Kaufmann, J Gaeckler - Journal of Purchasing and Supply Management, 2015 - Elsevier
The application of structural equation modeling (SEM) in the supply chain management
(SCM) context has experienced increasing popularity in recent years. Although most …

PLS path modeling in hospitality and tourism research: The golden age and days of future past

H Latan - Applying partial least squares in tourism and hospitality …, 2018 - emerald.com
The editors of this book have kindly invited me to write a chapter on the “new conceptual
framework” for partial least squares-path modeling (PLS-PM) and, in particular, provide a …

[图书][B] Composite-based structural equation modeling: Analyzing latent and emergent variables

J Henseler - 2020 - books.google.com
This book presents powerful tools for integrating interrelated composites--such as
capabilities, policies, treatments, indices, and systems--into structural equation modeling …

Assessing the effects of service quality on customer satisfaction

A Afthanorhan, Z Awang, N Rashid… - Management …, 2019 - m.growingscience.com
A constant concern of academic institutions has been to improve the customer satisfaction in
university libraries. The service quality within academic library context is pivotal for satisfying …

On comparing results from CB-SEM and PLS-SEM: Five perspectives and five recommendations

EE Rigdon, M Sarstedt, CM Ringle - Marketing: ZFP–Journal of Research …, 2017 - JSTOR
To estimate structural equation models, researchers can draw on two main approaches:
Covariance-based structural equation modeling (CB-SEM) and partial least squares …

Partial least squares path modeling: Time for some serious second thoughts

M Rönkkö, CN McIntosh, J Antonakis… - Journal of Operations …, 2016 - Elsevier
Partial least squares (PLS) path modeling is increasingly being promoted as a technique of
choice for various analysis scenarios, despite the serious shortcomings of the method. The …

Statistical inference with PLSc using bootstrap confidence intervals

MI Aguirre-Urreta, M Rönkkö - MIS quarterly, 2018 - JSTOR
Partial least squares (PLS) is one of the most popular statistical techniques in use in the
Information Systems field. When applied to data originating from a common factor model, as …

Reflections on partial least squares path modeling

CN McIntosh, JR Edwards… - Organizational …, 2014 - journals.sagepub.com
The purpose of the present article is to take stock of a recent exchange in Organizational
Research Methods between critics and proponents of partial least squares path modeling …

From composites to factors: B ridging the gap between PLS and covariance‐based structural equation modelling

N Kock - Information Systems Journal, 2019 - Wiley Online Library
Partial least squares (PLS) methods possess desirable characteristics that have led to their
extensive use in the field of information systems, as well as many other fields, for path …

When the green in green packaging backfires: Gender effects and perceived masculinity of environmentally friendly products

R Felix, EM González, R Castaño… - … Journal of Consumer …, 2022 - Wiley Online Library
Previous research has emphasized the importance of product packaging to consumers'
attitudes and purchase intentions, but empirical studies that explore the specific …