L. Matthews

Organizational Behavior and Human Resource Management · with Hair · 2016–2017

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 14 researchers here, as inferred from the citation graph.

Subfields

• Organizational Behavior and Human Resource Management — 19 citations into it
• Information Systems and Management — 12 citations into it; #513 of 3,842 by trust here, #953 by citations
• Marketing — 11 citations into it; #1,132 of 6,289 by trust here, #4,031 by citations
• Food Science — 10 citations into it
• Artificial Intelligence — 9 citations into it; #20,901 of 35,345 by trust here, #12,083 by citations
• Management Science and Operations Research — 8 citations into it; #2,708 of 11,946 by trust here, #6,314 by citations

Whom L. Matthews trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Joseph F. Hair
2. Marko Sarstedt
3. Christian M. Ringle
4. Jörg Henseler
5. Theo K. Dijkstra
6. Wynne W. Chin
7. Adamantios Diamantopoulos
8. G. Tomas M. Hult
9. Jan-Michael Becker

Who trusts L. Matthews overall

1. Hengky Latan
2. Marko Sarstedt
3. Faizan Ali
4. Christian M. Ringle
5. Charbel José Chiappetta Jabbour
6. S. M. Rasoolimanesh
7. M. Hanafiah
8. Joseph F. Hair
9. Ana Beatriz Lopes de Sousa Jabbour
10. Peerayuth Charoensukmongkol

Papers from L. Matthews's perspective

Ordered by how strongly the researchers L. Matthews trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
2. 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)
3. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
4. Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods
5. Component-based Structural Equation Modelling
6. Testing Structural Equation Models
7. On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012)
8. Simulation and the Monte Carlo method
9. Index Construction with Formative Indicators: An Alternative to Scale Development
10. Modeling Customer Satisfaction: A Comparative Performance Evaluation of Covariance Structure Analysis Versus Partial Least Squares

Their papers

• Applying Multigroup Analysis in PLS-SEM: A Step-by-Step Process (2017) — 303 citations
• PLS-SEM or CB-SEM: updated guidelines on which method to use (2017) — 4,486 citations
• Identifying and treating unobserved heterogeneity with FIMIX-PLS: part I – method (2016) — 1,313 citations