1 University of Oklahoma · 2 Simon Fraser University · 3 UNSW Sydney · 4 Monash University Malaysia · 5 The University of Queensland · 6 University of Westminster · 7 Grenoble Ecole de Management · 8 Lingnan University · 9 Cengage Learning (United Kingdom) · 10 University of Technology Sydney · 11 University of Tennessee at Knoxville · 12 Radboud University Nijmegen · 13 Technical University of Munich · 14 Vrije Universiteit Amsterdam · 15 Florida State University · 16 Clinica De Stress E Biofeedback · 17 Florida Atlantic University · 18 University of North Texas · 19 University of Dallas · 20 University of Minnesota · 21 Twin Cities Orthopedics · 22 Chinese University of Hong Kong · 23 University of Hartford · 24 Universidade de São Paulo · 25 George Washington University · 26 Pennsylvania State University · 27 Lahore University of Management Sciences · 28 Georgia State University · 29 Universidade do Porto · 30 Universidad de Los Andes · 31 Western University · 32 University of Lethbridge · 33 Ben-Gurion University of the Negev · 34 Centre for International Business and Economic Research' Vilnius · 35 National Economics University · 36 Seoul National University · 37 National University of Singapore · 38 Università Cattolica del Sacro Cuore · 39 University of the Sacred Heart · 40 University of Eastern Finland · 41 Finland University · 42 University of Sheffield
open access
Abstract
With a 41-society sample of 9990 managers and professionals, we used hierarchical linear modeling to investigate the impact of both macro-level and micro-level predictors on subordinate influence ethics. While we found that both macro-level and micro-level predictors contributed to the model definition, we also found global agreement for a subordinate influence ethics hierarchy. Thus our findings provide evidence that developing a global model of subordinate ethics is possible, and should be based upon multiple criteria and multilevel variables.