{"id":"W1964899188","doi":"10.5267/j.uscm.2013.10.001","title":"An investigation of the role of human resource management on enterprise resource planning","year":2013,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Human resource management; Strategic human resource planning; Human resource management system; Resource management (computing); Process management; Human resources; Knowledge management; Enterprise resource planning; Resource (disambiguation); Operations management; Environmental resource management; Computer science; Management; Economics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001683124,0.0001365565,0.0001049258,0.0008072466,0.001128807,0.001166716,0.0003837922,0.0002350545,0.001798889],"category_scores_gemma":[0.003641246,0.00009883253,0.0001310684,0.001040036,0.0009213643,0.001133499,0.0006567786,0.0004667709,0.00008956021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002090823,"about_ca_system_score_gemma":0.004682949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009334634,"about_ca_topic_score_gemma":0.01876303,"domain_scores_codex":[0.9990141,0.0005005279,0.00002804837,0.00004945817,0.0002317425,0.0001759847],"domain_scores_gemma":[0.9943951,0.003505106,0.000781049,0.00008804374,0.0006528993,0.0005777145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001804577,0.001208776,0.6892993,0.0007824445,0.00006816591,0.001745585,0.05568826,0.002177843,0.001992128,0.02770862,0.00264978,0.2164987],"study_design_scores_gemma":[0.00001576169,0.0005189462,0.8373755,0.0002871386,0.00006101006,0.0004595675,0.1309712,0.003473273,0.001113268,0.003654554,0.02203985,0.00002995399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976786,0.0004362775,0.0007147054,0.001195194,0.00001408651,0.0000357449,0.00001755016,0.000003568507,0.02079676],"genre_scores_gemma":[0.9989026,0.0002511518,0.0003558785,0.00005294829,0.000005350435,0.00000711965,0.000005553886,5.098397e-7,0.0004189406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009334634,"threshold_uncertainty_score":0.01856059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01796776535050409,"score_gpt":0.2598992829865541,"score_spread":0.24193151763605,"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."}}