[HTML][HTML] Improving PLS-SEM use for business marketing research

P Guenther, M Guenther, CM Ringle… - Industrial Marketing …, 2023‏ - Elsevier
A review of studies published in Industrial Marketing Management over the past two
decades and more shows that these studies not only used partial least squares structural …

When to use and how to report the results of PLS-SEM

JF Hair, JJ Risher, M Sarstedt… - European business review, 2019‏ - emerald.com
Purpose The purpose of this paper is to provide a comprehensive, yet concise, overview of
the considerations and metrics required for partial least squares structural equation …

Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model

S Chatterjee, NP Rana, YK Dwivedi… - … Forecasting and Social …, 2021‏ - Elsevier
This study aims to identify how environmental, technological, and social factors influence the
adoption of Industry 4.0 in the context of digital manufacturing. The Industry 4.0 era has …

The new wave of AI-powered luxury brands online shop** experience: The role of digital multisensory cues and customers' engagement

MS Rahman, S Bag, MA Hossain, FAMA Fattah… - Journal of Retailing and …, 2023‏ - Elsevier
Academic literature retains a dearth of empirical evidence of the cutting-edge aspect of
artificial intelligence (AI)-powered digital assistance and digital multisensory cues, despite …

Demystifying the role of causal-predictive modeling using partial least squares structural equation modeling in information systems research

W Chin, JH Cheah, Y Liu, H Ting, XJ Lim… - … Management & Data …, 2020‏ - emerald.com
Purpose Partial least squares structural equation modeling (PLS-SEM) has become popular
in the information systems (IS) field for modeling structural relationships between latent …

Big data driven innovation for sustaining SME supply chain operation in post COVID-19 scenario: Moderating role of SME technology leadership

S Chatterjee, R Chaudhuri, M Shah… - Computers & Industrial …, 2022‏ - Elsevier
Due to the COVID-19 pandemic, there is an unprecedented crisis for businesses. The small
and medium enterprises (SMEs) have been impacted even more, due to their limited …

PLS‐SEM: Prediction‐oriented solutions for HRD researchers

AE Legate, JF Hair Jr, JL Chretien… - Human Resource …, 2023‏ - Wiley Online Library
Structural equation modeling, often referred to as SEM, is a well‐established, covariance‐
based multivariate method used in Human Resource Development (HRD) quantitative …

Modelling the significance of organizational conditions on quiet quitting intention among Gen Z workforce in an emerging economy

Z Xueyun, A Al Mamun, M Masukujjaman… - Scientific reports, 2023‏ - nature.com
The phenomenon of “quiet quitting” has gained significant attention globally through various
platforms, raising concerns about the impact of workplace stress on individuals' personal …

Essential new PLS-SEM analysis methods for your entrepreneurship analytical toolbox

SC Manley, JF Hair, RI Williams… - … and Management Journal, 2021‏ - Springer
Rigorous research across the wide spectrum of entrepreneurship is important for develo**
knowledge and innovation in the field, which in turn offers building blocks for future inquiry …

When predictors of outcomes are necessary: Guidelines for the combined use of PLS-SEM and NCA

NF Richter, S Schubring, S Hauff, CM Ringle… - … management & data …, 2020‏ - emerald.com
Purpose This research introduces the combined use of partial least squares–structural
equation modeling (PLS-SEM) and necessary condition analysis (NCA) that enables …