{"id":"W2982052279","doi":"10.5267/j.msl.2019.10.025","title":"Impact of human resource management practices on enterprises' competitive advantages and business performance: Evidence from telecommunication industry","year":2019,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Collaboration in agile enterprises","field":"Business, Management and Accounting","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Competitive advantage; Human resource management; Resource (disambiguation); Human resources; Telecommunications; Industrial organization; Knowledge management; Process management; Computer science; Marketing; Management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007404497,0.0002598568,0.0002367361,0.0008492399,0.000366285,0.0006110816,0.00107989,0.00004957757,0.0002449424],"category_scores_gemma":[0.00007362517,0.000236813,0.00004952246,0.001803642,0.0003787859,0.003225605,0.001047009,0.0002522049,0.000121358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001773653,"about_ca_system_score_gemma":0.000009471876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003217817,"about_ca_topic_score_gemma":0.0000108129,"domain_scores_codex":[0.9977719,0.00003378488,0.0003828229,0.0006476103,0.0008127119,0.0003511856],"domain_scores_gemma":[0.9979587,0.0001222966,0.000923802,0.0008636145,0.0001065429,0.00002501085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001458867,0.0001566962,0.9804891,0.0003574122,0.00009113514,0.000008768703,0.0001716574,0.003793059,0.005633374,0.003009538,0.001548923,0.004594492],"study_design_scores_gemma":[0.0005849223,0.00005275047,0.9912891,0.0009811263,0.00007834055,4.902861e-7,0.001595691,0.0007895845,0.0001481269,0.00004241434,0.004147635,0.0002897733],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9565051,0.00003381131,0.0001026932,0.001622765,0.0001945176,0.0007667691,0.000003515421,0.00007580313,0.04069507],"genre_scores_gemma":[0.99741,0.0001049094,0.0004155888,0.001669185,0.0001143025,0.00004245439,0.00002296059,0.00001982171,0.0002007793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04090495,"threshold_uncertainty_score":0.9656953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01886468126607131,"score_gpt":0.2995518046087882,"score_spread":0.2806871233427169,"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."}}