{"id":"W4417416786","doi":"10.1108/ijppm-07-2025-0685","title":"The impact of GHRM practices on corporate sustainability dimensions: a mediation and moderation analysis","year":2025,"lang":"en","type":"article","venue":"International Journal of Productivity and Performance Management","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Moderation; Mediation; Sustainability; Human resource management; Scarcity; Structural equation modeling; Empirical research; Manufacturing sector; Manufacturing; Human resources","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001399783,0.000105892,0.0001610815,0.0004513908,0.0001810022,0.0001965873,0.0001729221,0.00002446834,0.000006520506],"category_scores_gemma":[0.0004646734,0.00007101404,0.00007205479,0.0004299309,0.0001279436,0.001352317,0.0001896935,0.0001122246,4.780304e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002148507,"about_ca_system_score_gemma":0.00003335029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001474169,"about_ca_topic_score_gemma":0.00003180285,"domain_scores_codex":[0.9990042,0.00003139184,0.0003455263,0.0001653314,0.0003548445,0.0000986563],"domain_scores_gemma":[0.9979063,0.0001050716,0.00123171,0.0001552959,0.000593625,0.000007941282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001012061,0.000325715,0.8846926,0.0002440815,0.001125674,0.000004475708,0.00008807236,0.03366419,0.00004551701,0.008746324,0.0001196495,0.0699316],"study_design_scores_gemma":[0.0003335954,0.0000464662,0.9729313,0.00003274025,0.0002264364,0.000001723518,0.0002796458,0.01646767,0.0000547647,0.008940498,0.0006192701,0.00006587393],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992302,0.0001328162,0.0005322405,0.006292594,0.0002263035,0.0002574236,0.0000010955,0.000005108412,0.0002504189],"genre_scores_gemma":[0.9992214,0.0003982921,0.00006012208,0.00006075944,0.0001496858,0.000008458414,0.00000466801,0.000003304918,0.00009334116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08823868,"threshold_uncertainty_score":0.2895868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01409660975656774,"score_gpt":0.2846004097101995,"score_spread":0.2705037999536318,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}