Jake G. Messersmith

Organizational Behavior and Human Resource Management · 2011–2018

A researcher in the Science corpus: 3 papers; trusts 48 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Jake G. Messersmith trusts overall

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

  1. B. Colbert
  2. David P. Lepak
  3. K. Macky
  4. David P. MacKinnon
  5. Riki Takeuchi
  6. Mahesh Subramony
  7. Peter Boxall
  8. Kristopher J Preacher
  9. N. Bowling
  10. J. Godard

Who trusts Jake G. Messersmith overall

  1. A. Mostafa
  2. K. van de Voorde
  3. Murray R. Barrick
  4. Viktoria Oppenauer
  5. J. Gould-Williams
  6. R. Peccei
  7. D. Kooij
  8. Kaifeng Jiang
  9. Karin Sanders
  10. P. M. Bal

Papers from Jake G. Messersmith's perspective

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

  1. Manufacturing Advantage: Why High-Performance Work Systems Pay Off
  2. High Performance Work Systems and Intermediate Indicators of Firm Performance Within the US Small Business Sector
  3. HUMAN RESOURCE MANAGEMENT AND LABOR PRODUCTIVITY: DOES INDUSTRY MATTER?
  4. Do “high commitment” human resource practices affect employee commitment? A cross-level analysis using hierarchical linear modeling
  5. A comparison of methods to test mediation and other intervening variable effects. (Psychological methods)
  6. An empirical examination of the mechanisms mediating between high-performance work systems and the performance of Japanese organizations. (Journal of Applied Psychology)
  7. High-Performance Work Systems and Organizational Performance: The Mediating Role of Internal Social Structure
  8. A meta‐analytic investigation of the relationship between HRM bundles and firm performance
  9. Desegregating HRM: A Review and Synthesis of Micro and Macro Human Resource Management Research
  10. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models (Behavior Research Methods)

Their papers