Jan-Michael Becker

Organizational Behavior and Human Resource Management · 2011–2020

A researcher in the Science corpus: 8 papers; trusts 39 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Organizational Behavior and Human Resource Management — 103 citations into it; #4,935 of 8,741 by trust here, #4,039 by citations
• Information Systems and Management — 71 citations into it; #297 of 3,842 by trust here, #255 by citations
• Marketing — 57 citations into it; #1,725 of 6,289 by trust here, #1,369 by citations
• Statistics and Probability — 37 citations into it
• Management Science and Operations Research — 35 citations into it
• Artificial Intelligence — 33 citations into it; #10,596 of 35,345 by trust here, #10,566 by citations
• Food Science — 33 citations into it; #397 of 1,700 by trust here, #411 by citations
• Sociology and Political Science — 32 citations into it

Whom Jan-Michael Becker trusts overall

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

1. Jörg Henseler
2. Marko Sarstedt
3. V. Venkatesh
4. Christian M. Ringle
5. Wynne W. Chin
6. Joseph F. Hair
7. Theo K. Dijkstra
8. Rick L. Andrews
9. W. Reinartz
10. Heungsun Hwang

Who trusts Jan-Michael Becker overall

1. Marko Sarstedt
2. Joseph F. Hair
3. Christian M. Ringle
4. Jun-Hwa (Jacky) Cheah
5. Jörg Henseler
6. Faizan Ali
7. Tiago Oliveira
8. Kumar Rakesh Ranjan
9. Hiram Ting
10. I. Alnawas

Papers from Jan-Michael Becker's perspective

Ordered by how strongly the researchers Jan-Michael Becker trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research
2. Index Construction with Formative Indicators: An Alternative to Scale Development
3. 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)
4. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
5. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
6. An Empirical Comparison of the Efficacy of Covariance-Based and Variance-Based SEM
7. Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods
8. Specifying Formative Constructs in Information Systems Research (MIS Q.)
9. Methods for integrating moderation and mediation: a general analytical framework using moderated path analysis. (Psychological methods)
10. User Acceptance of Information Technology: Toward a Unified View (MIS Q.)

Their papers

• How collinearity affects mixture regression results (2015) — 517 citations
• This fast car can move faster: a review of PLS-SEM application in higher education research (2020) — 307 citations
• How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM (2019) — 2,911 citations
• ESTIMATING MODERATING EFFECTS IN PLS-SEM AND PLSc-SEM: INTERACTION TERM GENERATION*DATA TREATMENT (2018) — 301 citations
• Accounting for sampling weights in PLS path modeling: Simulations and empirical examples (2016) — 76 citations
• Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats (2013) — 436 citations
• Hierarchical latent variable models in PLS-SEM: guidelines for using reflective-formative type models (2012) — 2,187 citations
• Uncovering and Treating Unobserved Heterogeneity with FIMIX-PLS: Which Model Selection Criterion Provides an Appropriate Number of Segments? (2011) — 292 citations