{"id":"W4280525635","doi":"10.3390/analytics1010001","title":"Analytics Capability and Firm Performance in Supply Chain Organizations: The Role of Employees’ Analytics Skills","year":2022,"lang":"en","type":"article","venue":"Analytics","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University; Carleton University","funders":"","keywords":"Analytics; Supply chain; Business; Business analytics; Process (computing); Supply chain management; Software analytics; Investment (military); Process management; Data science; Computer science; Marketing; Business model; Software; Business analysis","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":[0.002555198,0.0002494199,0.0001593255,0.001328616,0.0006963053,0.002957305,0.0004148064,0.0006993222,0.003342665],"category_scores_gemma":[0.01627206,0.0001150862,0.0002306993,0.001442995,0.001362786,0.002436026,0.001727465,0.001092419,0.000439361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009749723,"about_ca_system_score_gemma":0.001342539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003500751,"about_ca_topic_score_gemma":0.003599428,"domain_scores_codex":[0.9983315,0.0005068635,0.0001100711,0.0001766461,0.0004031472,0.0004718719],"domain_scores_gemma":[0.9540948,0.02283581,0.0118313,0.0012546,0.002450316,0.007533279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001051263,0.0007716968,0.9711161,0.00005251904,0.00007929162,0.0002034039,0.002384329,0.001901274,0.0006370629,0.002067708,0.0005794558,0.02010204],"study_design_scores_gemma":[0.00001238987,0.0003515451,0.9834216,0.0000979098,0.00003220721,0.00007781864,0.005785285,0.005132764,0.0005946393,0.003370534,0.001096041,0.00002715589],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943761,0.0001671263,0.0004076046,0.0005217695,0.000006213901,0.000009855687,0.00003944415,0.00000881857,0.004463195],"genre_scores_gemma":[0.9996839,0.00003295255,0.00007373715,0.00002168894,0.000005006638,0.000002657236,0.00002026293,8.235879e-7,0.0001590045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003500751,"threshold_uncertainty_score":0.01351333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01809556815865919,"score_gpt":0.2428418190477305,"score_spread":0.2247462508890713,"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."}}