{"id":"W3151342084","doi":"10.1002/cjas.1608","title":"How organizations adapt their HR practices to a changing environment: 11 theoretical dimensions to inform human resource management","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Knowledge management; Process (computing); Human resource management; Business; Change management (ITSM); Order (exchange); Transpose; Organizational change; Process management; Field (mathematics); Strategic human resource planning; Public relations; Computer science; Political science; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008754922,0.0005305887,0.0003870259,0.003959061,0.002549651,0.01498959,0.001473839,0.00317771,0.004331161],"category_scores_gemma":[0.01074084,0.000351606,0.0004562918,0.00325165,0.02712673,0.01289954,0.005137907,0.00270709,0.000362507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006996825,"about_ca_system_score_gemma":0.005220039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005108395,"about_ca_topic_score_gemma":0.005901082,"domain_scores_codex":[0.9924201,0.005539876,0.0002551232,0.0006175669,0.000695351,0.0004719658],"domain_scores_gemma":[0.9802412,0.01486288,0.002040284,0.001174662,0.00102339,0.0006575729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002686338,0.0001719354,0.01603982,0.0002910937,0.00003343598,0.0001076051,0.04248144,0.002685819,0.0002314482,0.9070424,0.001382184,0.02950588],"study_design_scores_gemma":[0.00002601357,0.00009376005,0.01375866,0.001077695,0.00003901201,0.0001448503,0.1429134,0.01121255,0.0004397554,0.7954082,0.03482854,0.00005752224],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3787313,0.01381733,0.1398246,0.1165854,0.000331244,0.0003387154,0.0003492826,0.0001482634,0.3498738],"genre_scores_gemma":[0.9837525,0.002174867,0.01164997,0.001076037,0.00004085915,0.0001388225,0.00005828528,0.00001385662,0.001094894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01498959,"threshold_uncertainty_score":0.05076575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07664656099611955,"score_gpt":0.293759085830164,"score_spread":0.2171125248340444,"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."}}