Kai Oliver Thiele
Organizational Behavior and Human Resource Management · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Organizational Behavior and Human Resource Management — 38 citations into it; #4,148 of 8,741 by trust here, #2,641 by citations
- Information Systems and Management — 22 citations into it; #1,681 of 3,842 by trust here, #797 by citations
- Marketing — 22 citations into it; #2,704 of 6,289 by trust here, #1,414 by citations
- Management Science and Operations Research — 21 citations into it
- Statistics and Probability — 15 citations into it
- Management Information Systems — 14 citations into it
- Artificial Intelligence — 13 citations into it; #14,347 of 35,345 by trust here, #8,893 by citations
- Food Science — 13 citations into it
Whom Kai Oliver Thiele trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jörg Henseler
- Theo K. Dijkstra
- Joseph F. Hair
- Wynne W. Chin
- Marko Sarstedt
- Adamantios Diamantopoulos
- Kenneth A. Bollen
- Christian M. Ringle
- Michel Tenenhaus
- Edward E. Rigdon
Who trusts Kai Oliver Thiele overall
- Marko Sarstedt
- Christian M. Ringle
- Joseph F. Hair
- Jun-Hwa (Jacky) Cheah
- Jan-Michael Becker
- Edward E. Rigdon
Papers from Kai Oliver Thiele's perspective
Ordered by how strongly the researchers Kai Oliver Thiele trusts endorse each paper. Same corpus, a different order for every researcher.
- A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study (Information systems research)
- Index Construction with Formative Indicators: An Alternative to Scale Development
- A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research
- Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods
- Component-based Structural Equation Modelling
- An Empirical Comparison of the Efficacy of Covariance-Based and Variance-Based SEM
- Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
- PLS-SEM: Indeed a Silver Bullet
- On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012)
- Modeling Customer Satisfaction: A Comparative Performance Evaluation of Covariance Structure Analysis Versus Partial Least Squares
Their papers
- Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods (2017) — 2,367 citations
- Estimation issues with PLS and CBSEM: Where the bias lies! ☆ (2016) — 1,709 citations