{"id":"W3120672612","doi":"10.5267/j.msl.2020.12.010","title":"Impact of organisational factors on tacit knowledge sharing in HEIs: Focusing the mediating role of KM system quality","year":2021,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tacit knowledge; Knowledge management; Knowledge sharing; Explicit knowledge; Business; Higher education; Leverage (statistics); Quality (philosophy); Knowledge value chain; Organizational learning; Knowledge economy; Personal knowledge management; Computer science; Political science","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":[0.00338173,0.0001255581,0.0002082875,0.0003405568,0.0005267063,0.0001624903,0.0008591745,0.00002700247,0.00005055196],"category_scores_gemma":[0.0002743687,0.00009879458,0.0001086872,0.001939896,0.0004319325,0.0004091347,0.0004533188,0.0001122339,0.000008734405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005846524,"about_ca_system_score_gemma":0.00006274663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001000252,"about_ca_topic_score_gemma":0.0003621289,"domain_scores_codex":[0.9977145,0.0001751717,0.000428321,0.0003951823,0.0008673623,0.0004194759],"domain_scores_gemma":[0.9991007,0.0001962676,0.0002420561,0.0003343907,0.00006849289,0.00005807825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000672944,0.0001004452,0.8221501,0.0001393506,0.00005292712,0.000005200503,0.03719649,0.001485906,0.01167941,0.1243236,0.00004135677,0.002818519],"study_design_scores_gemma":[0.0002933448,0.00001762653,0.9261285,0.0002276893,0.00002495445,1.147301e-7,0.06772749,0.001597194,0.003174227,0.0003823222,0.0002223273,0.0002041812],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464758,0.00003303724,0.0001585908,0.0004625162,0.0002233928,0.0002444824,0.000003202523,0.00003067487,0.05236829],"genre_scores_gemma":[0.9996039,0.000004553776,0.0001442091,0.00005024286,0.00007310788,0.00000734406,0.000003197324,0.000007094297,0.0001063668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1239413,"threshold_uncertainty_score":0.4051053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04066337481309727,"score_gpt":0.3453424022310015,"score_spread":0.3046790274179042,"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."}}