Jun-Hwa (Jacky) Cheah

Organizational Behavior and Human Resource Management · 2017–2021

A researcher in the Science corpus: 16 papers; trusts 54 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Organizational Behavior and Human Resource Management — 255 citations into it; #1,931 of 8,741 by trust here, #1,531 by citations
• Information Systems and Management — 161 citations into it; #2,359 of 3,842 by trust here, #875 by citations
• Marketing — 149 citations into it; #1,374 of 6,289 by trust here, #1,079 by citations
• Sociology and Political Science — 140 citations into it; #8,578 of 22,756 by trust here, #6,353 by citations
• Management Science and Operations Research — 93 citations into it
• Artificial Intelligence — 70 citations into it
• Management Information Systems — 65 citations into it
• Statistics and Probability — 60 citations into it

Whom Jun-Hwa (Jacky) Cheah trusts overall

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

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

Who trusts Jun-Hwa (Jacky) Cheah overall

1. Joseph F. Hair
2. Marko Sarstedt
3. Christian M. Ringle
4. Ganghua Chen
5. Hiram Ting
6. José L. Roldán
7. Matt C. Howard
8. Christian Nitzl
9. Mumtaz Ali Memon
10. Enrico Ciavolino

Papers from Jun-Hwa (Jacky) Cheah's perspective

Ordered by how strongly the researchers Jun-Hwa (Jacky) Cheah 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. Component-based Structural Equation Modelling
8. Common method biases in behavioral research: a critical review of the literature and recommended remedies. (Journal of Applied Psychology)
9. Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods
10. On the nature and direction of relationships between constructs and measures. (Psychological methods)

Their papers

• MEDIATION ANALYSIS: ISSUES AND RECOMMENDATIONS (2018) — 268 citations
• Structural model robustness checks in PLS-SEM (2020) — 1,187 citations
• The Impact of Social Media Influencers on Purchase Intention and the Mediation Effect of Customer Attitude (2017) — 630 citations
• Partial least squares structural equation modeling using SmartPLS: a software review (2019) — 779 citations
• Satisfaction matters: the relationships between HRM practices, work engagement and turnover intention (2021) — 186 citations
• Demystifying the role of causal-predictive modeling using partial least squares structural equation modeling in information systems research (2020) — 567 citations
• Multigroup Analysis using SmartPLS: Step-by-Step Guidelines for Business Research (2020) — 352 citations
• Are privacy concerns still relevant? Revisiting consumer behaviour in omnichannel retailing (2020) — 195 citations
• Sampling weight adjustments in partial least squares structural equation modeling: guidelines and illustrations (2020) — 94 citations
• Examining the role of social media-based destination brand community in evoking tourists’ emotions and intention to co-create and visit (2020) — 90 citations
• MODERATION ANALYSIS: ISSUES AND GUIDELINES (2019) — 373 citations
• Predictive model assessment in PLS-SEM: guidelines for using PLSpredict (2019) — 3,378 citations
• How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM (2019) — 2,911 citations
• Convergent validity assessment of formatively measured constructs in PLS-SEM (2018) — 462 citations
• ASSESSING REFLECTIVE MODELS IN MARKETING RESEARCH: A COMPARISON BETWEEN PLS AND PLSc ESTIMATES (2018) — 88 citations
• A review of the methodological misconceptions and guidelines related to the application of structural equation modeling: A Malaysian scenario (2017) — 239 citations