{"id":"W4241507076","doi":"10.1080/09585192.2012.671507","title":"Knowledge appropriation and HRM: the MNC experience in Tanzania","year":2012,"lang":"en","type":"article","venue":"The International Journal of Human Resource Management","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Multinational corporation; Appropriation; Business; Microfoundations; Human resource management; Tanzania; Organizational culture; Ethnocentrism; Human resources; Public relations; Knowledge management; Sociology; Management; Political science; Economics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002638941,0.0002204092,0.0002887198,0.001105179,0.01276179,0.003155467,0.0006629331,0.001146608,0.004125945],"category_scores_gemma":[0.003719969,0.0002991782,0.00009587102,0.001293511,0.007752936,0.001972448,0.004370031,0.001952728,0.0002199936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005012762,"about_ca_system_score_gemma":0.004525003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05146816,"about_ca_topic_score_gemma":0.1062278,"domain_scores_codex":[0.9983456,0.0008671547,0.00004721934,0.00008299179,0.0001446056,0.0005124155],"domain_scores_gemma":[0.9970484,0.001686263,0.0003871824,0.0001529114,0.0002300381,0.0004952374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000268735,0.00005055416,0.01095231,0.0000540167,0.00000156271,0.001355639,0.9767106,0.00003301301,0.0006197686,0.003819336,0.0007002734,0.005676082],"study_design_scores_gemma":[0.00001180388,0.00009811428,0.01895322,0.0001380225,0.000005684506,0.0006642867,0.9491787,0.0001560573,0.0003530634,0.0004718778,0.02995139,0.00001770469],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942,0.0002007087,0.00008245555,0.001265702,0.000008400461,0.00001327173,0.000009140999,0.000002760284,0.004217623],"genre_scores_gemma":[0.998202,0.0001550908,0.00007321005,0.0002229841,0.000005354218,0.000008794272,0.000006345801,0.000003626143,0.001322551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05146816,"threshold_uncertainty_score":0.1023372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03325237271102951,"score_gpt":0.2815537553862797,"score_spread":0.2483013826752502,"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."}}