Jeffrey J. Risher

Organizational Behavior and Human Resource Management · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Organizational Behavior and Human Resource Management — 35 citations into it; #4,418 of 8,741 by trust here, #1,491 by citations
• Information Systems and Management — 20 citations into it; #1,842 of 3,842 by trust here, #356 by citations
• Marketing — 20 citations into it
• Artificial Intelligence — 16 citations into it; #20,954 of 35,345 by trust here, #7,346 by citations
• Management Science and Operations Research — 13 citations into it
• Food Science — 10 citations into it
• Management Information Systems — 7 citations into it

Whom Jeffrey J. Risher trusts overall

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

1. Marko Sarstedt
2. Jörg Henseler
3. Christian M. Ringle
4. Joseph F. Hair
5. Wynne W. Chin
6. Theo K. Dijkstra
7. Jan-Michael Becker
8. Adamantios Diamantopoulos
9. Galit Shmueli
10. Edward E. Rigdon

Who trusts Jeffrey J. Risher overall

1. R. Ho
2. Ahmad Samed Al-Adwan
3. Jun-Hwa (Jacky) Cheah
4. S. M. Rasoolimanesh
5. B. K. AlNuaimi
6. Marko Sarstedt
7. Jeandri Robertson
8. Viachaslau Filimonau
9. Youssef Chetioui
10. Feifei Xu

Papers from Jeffrey J. Risher's perspective

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

1. Does PLS Have Advantages for Small Sample Size or Non-Normal Data? (MIS Q.)
2. A Concise Guide to Market Research: The Process, Data, and Methods Using IBM SPSS Statistics
3. An assessment of the use of partial least squares structural equation modeling in marketing research (Journal of the Academy of Marketing Science)
4. Partial least squares path modeling
5. Interpretation of Formative Measurement in Information Systems Research (MIS Q.)
6. The robustness of LISREL modeling revisted.
7. PLS: A Silver Bullet?
8. The Performance of ML, GLS, and WLS Estimation in Structural Equation Modeling Under Conditions of Misspecification and Nonnormality
9. Internet research using partial least squares structural equation modeling (PLS-SEM) (Internet Research)
10. 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)

Their papers

• When to use and how to report the results of PLS-SEM (2019) — 22,466 citations