Richard Klein

Management Information Systems · with Rai · 2009

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Richard Klein trusts overall

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

  1. Adamantios Diamantopoulos
  2. Philip M. Podsakoff
  3. William H. DeLone
  4. Scott B. MacKenzie
  5. Cheryl Burke Jarvis
  6. Wynne W. Chin
  7. George A. Marcoulides
  8. Arun Rai
  9. Heidi Winklhofer
  10. Ephraim R. McLean

Who trusts Richard Klein overall

  1. David Xiaosong Peng
  2. Genshu Lu
  3. Fujun Lai
  4. Yaping Song
  5. Bingchao Pan
  6. Jörg Henseler
  7. Christian M. Ringle

Papers from Richard Klein's perspective

Ordered by how strongly the researchers Richard Klein 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. On the nature and direction of relationships between constructs and measures. (Psychological methods)
  3. Specifying Formative Constructs in Information Systems Research (MIS Q.)
  4. Index Construction with Formative Indicators: An Alternative to Scale Development
  5. Structural Equation Modeling and Regression: Guidelines for Research Practice (Communications of the Association for Information Systems)
  6. Common method biases in behavioral research: a critical review of the literature and recommended remedies. (Journal of Applied Psychology)
  7. 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)
  8. The Predictive Validity of Multiple-Item versus Single-Item Measures of the Same Constructs
  9. Firm Performance Impacts of Digitally Enabled Supply Chain Integration Capabilities (MIS Q.)
  10. PLS: A Silver Bullet?

Their papers