{"id":"W4293576087","doi":"10.1108/eemcs-10-2021-0362","title":"Managing global HRM integration in international expansion: the case of Geely cross-border acquisition","year":2022,"lang":"en","type":"article","venue":"Emerald Emerging Markets Case Studies","topic":"International Business and FDI","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Multinational corporation; Human resource management; Human resources; Business; Negotiation; Marketing; Organizational culture; Product (mathematics); Resource (disambiguation); Knowledge management; Management; Economics; Sociology; Finance","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000825717,0.0002007829,0.0002151852,0.0002606578,0.0007524976,0.0001357376,0.0002041946,0.00002377166,0.001460356],"category_scores_gemma":[0.0001482646,0.0001650846,0.0001048932,0.0006998609,0.0001052291,0.0008287941,0.0006952033,0.0001794162,0.000007692466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001704446,"about_ca_system_score_gemma":0.00001298662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004003913,"about_ca_topic_score_gemma":0.000928965,"domain_scores_codex":[0.9985752,0.00004367818,0.0004964799,0.0003089936,0.0003458602,0.0002298407],"domain_scores_gemma":[0.9990066,0.00007522519,0.000293274,0.0001930243,0.0004253277,0.000006565847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002664021,0.001173059,0.06536598,0.0009438769,0.001743985,0.08800263,0.007394049,0.04325993,0.0004815243,0.210503,0.08743258,0.4910354],"study_design_scores_gemma":[0.009743619,0.0001175178,0.1469399,0.0008929617,0.0006223484,0.03342916,0.09931971,0.3738312,0.0001196399,0.05899804,0.2728118,0.003174125],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714352,0.0007665932,0.0003125461,0.01286574,0.002415708,0.0002730132,0.00003059646,0.0000594084,0.01184112],"genre_scores_gemma":[0.9960132,0.00006698309,0.00007211721,0.002610069,0.0005862821,0.000113012,0.00004858625,0.00001664091,0.0004730798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4878613,"threshold_uncertainty_score":0.9994525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722396359561238,"score_gpt":0.3355776607894579,"score_spread":0.3183536971938455,"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."}}