Progress in partial least squares structural equation modeling use in logistics and supply chain management in the last decade: a structured literature review

S Wang, JH Cheah, CY Wong… - International Journal of …, 2024 - emerald.com
Purpose This study aims to evaluate the usage of partial least squares structural equation
modeling (PLS-SEM) in journals related to logistics and supply chain management (LSCM) …

Using partial least squares in operations management research: A practical guideline and summary of past research

DX Peng, F Lai - Journal of operations management, 2012 - Elsevier
The partial least squares (PLS) approach to structural equation modeling (SEM) has been
widely adopted in business research fields such as information systems, consumer …

[HTML][HTML] A perspective on using partial least squares structural equation modelling in data articles

CM Ringle, M Sarstedt, N Sinkovics, RR Sinkovics - Data in Brief, 2023 - Elsevier
This perspective article on using partial least squares structural equation modelling (PLS-
SEM) is intended as a guide for authors who wish to publish datasets that can be analysed …

[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 …

Does digitalising the supply chain contribute to its resilience?

D Zouari, S Ruel, L Viale - … Journal of Physical Distribution & Logistics …, 2021 - emerald.com
Purpose Supply chain resilience (SCR) is a key concept for managers who wish to develop
the capacity to enhance their supply chain's (SC's) ability to cope with unexpected …

[HTML][HTML] Artificial intelligence, blockchain technology, and risk-taking behavior in the 4.0 IR Metaverse Era: evidence from Bangladesh-based SMEs

MRH Polas, AA Jahanshahi, AI Kabir… - Journal of Open …, 2022 - Elsevier
This study investigates the variables affecting the adoption of blockchain technology (BT)
among small and medium-sized enterprises (SMEs) with the application of artificial …

Partial least squares path modeling

J Henseler - Advanced methods for modeling markets, 2017 - Springer
Structural equation modeling (SEM) is a family of statistical techniques that has become very
popular in marketing. Its ability to model latent variables, to take various forms of …

[图书][B] Mastering partial least squares structural equation modeling (PLS-Sem) with Smartpls in 38 Hours

KKK Wong - 2019 - books.google.com
Partial least squares is a new approach in structural equation modeling that can pay
dividends when theory is scarce, correct model specifications are uncertain, and predictive …

Using PLS path modeling in new technology research: updated guidelines

J Henseler, G Hubona, PA Ray - Industrial management & data …, 2016 - emerald.com
Purpose Partial least squares (PLS) path modeling is a variance-based structural equation
modeling (SEM) technique that is widely applied in business and social sciences. Its ability …

[PDF][PDF] European management research using partial least squares structural equation modeling (PLS-SEM)

NF Richter, G Cepeda-Carrion… - … Journal, 34 (6), 589 …, 2016 - idus.us.es
Hair, Sarstedt, Pieper, and Ringle's (2012) review study shows that partial least squares
structural equation modeling (PLS-SEM) has become an increasingly applied multivariate …