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Christian M. Ringle

Professor of Management and Decision Sciences

Hamburg University of Technology

Germany

Research Interests

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Christian M. Ringle is a Professor of Management and Decision Sciences at Hamburg University of Technology, Germany. His research areas include partial least squares structural equation modeling (PLS-SEM), human resource management systems, and the application of advanced statistical methods in business research. He has published several articles addressing both theoretical and practical aspects of structural equation modeling and its implications for effective decision-making in management.

Articles (34)

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Collaborators (28)

Siggi Gudergan

Aalto University

FINLAND

Christian M. Ringle

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Articles (34)

Consistent Partial Least Squares Structural Equation Modeling Using SmartPLS

Looking at the bigger picture: on the relevance of null effects of model differences across time

From an online shopping experience to online purchase intentions: do showroomers differ? A study of a brand-owned D2C e-commerce store

Guest editorial: Beyond the horizons of innovation: rethinking logistics, operations, and supply chain management strategies

Multiple linear and logistic regression analysis: a SmartPLS 4 software tutorial

A Multimethod SEM Framework for Analyzing Models with Latent Variables

Must-have, or maybe not? A sensitivity-based extension to necessary condition analysis

Moderated Mediation Analysis Using SmartPLS: A Tutorial for Business Researchers

Omnichannel safe customer experience: how should it be measured? Does it affect customer well-being and retailers’ performance?

Covariance-based structural equation modeling (CB-SEM): a SmartPLS 4 software tutorial

Dealing with regression models’ endogeneity by means of an adjusted estimator for the Gaussian copula approach

PLS-SEM and reflective constructs: A response to recent criticism and a constructive path forward

Conceptual structure and thematic evolution in partial least squares structural equation modeling research

Human resource management systems research – how to gain impactful insights through formative measurement and hierarchical component models

Special issue editorial: Advanced partial least squares structural equation modeling (PLS-SEM) applications in business research

Partial Least Squares Structural Equation Modeling

Same model, same data, but different outcomes: Evaluating the impact of method choices in structural equation modeling

Combined importance–performance map analysis (cIPMA) in partial least squares structural equation modeling (PLS–SEM): a SmartPLS 4 tutorial

Guest editorial: Using partial least squares structural equation modeling (PLS-SEM) in quality management

Importance and performance in PLS-SEM and NCA: Introducing the combined importance-performance map analysis (cIPMA)

Does culture matter? Corporate reputation and sustainable satisfaction in the Chinese and German banking sector

Capabilities for circular economy innovation: Factors leading to product/service innovations in the construction and manufacturing industries

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

Guest editorial: Predictive modeling in logistics and supply chain management research using partial least squares structural equation modeling

Internal corporate social responsibility in times of uncertainty: does working from home harm the creativity link?

“PLS-SEM: indeed a silver bullet” – retrospective observations and recent advances

Predictive model assessment and selection in composite-based modeling using PLS-SEM: extensions and guidelines for using CVPAT

Quality of higher education experience, satisfaction, and well-being: genuinely caring for our students-consumers

Improving PLS-SEM use for business marketing research

A primer on integrated generalized structured component analysis

Antecedents and consequences of corporate reputation: a dataset

Antecedents and consequences of corporate reputation: A dataset

PLS‐SEM: A method demonstration in the R statistical environment

A brief review of partial least squares structural equation modeling (PLS-SEM) use in quality management studies

Collaborators (28)

Siggi Gudergan

Mikkel Bennedsen

Gyeongcheol Cho

Mario Angelelli

Dhruv Grewal

Ulla A. Saari

Jun-Hwa Cheah

Syed Rahman

Minna Lanz

Rudolf Sinkovics

Leena Aarikka-Stenroos

Svenja Damberg

Carl Marcus Wallenburg

Luke Taylor

Marko Sarstedt

Ghasem Zaefarian

Vasilica Maria Margalina

Fabio Cassia

Jan-Michael Becker

Enrico Ciavolino

Francesca Magno

Noemi Sinkovics

Susanne Adler

Christian Thies

Nicole Franziska Richter

Adamantios Diamantopoulos

Severina Cartwright

Benjamin D. Liengaard

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