{"id":"W4394886343","doi":"10.5267/j.uscm.2024.3.008","title":"Investigating the role of supply chain management on sustainable performance and dynamic capabilities: An empirical study on logistic organization","year":2024,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Likert scale; Supply chain management; Supply chain; Sustainability; Sample (material); Empirical research; Dynamic capabilities; Marketing; Simple random sample; Industrial organization; Process management; Operations management; Knowledge management; Computer science; Economics; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002237199,0.0001934749,0.0001463591,0.001047909,0.0007910572,0.00181953,0.0002581324,0.0003582568,0.002395675],"category_scores_gemma":[0.006114056,0.0001176824,0.000271167,0.001644901,0.0008310787,0.00211324,0.001227976,0.0004875131,0.0002093475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120061,"about_ca_system_score_gemma":0.002077903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002418537,"about_ca_topic_score_gemma":0.003945238,"domain_scores_codex":[0.9987792,0.0005516979,0.00008053208,0.00008317144,0.0002522381,0.0002531186],"domain_scores_gemma":[0.9866104,0.00684042,0.003933502,0.0003612851,0.001088439,0.001166146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008453678,0.0007135775,0.96064,0.000180098,0.00006854078,0.0005645608,0.007767,0.001824324,0.0007103333,0.0031757,0.0002016713,0.02406963],"study_design_scores_gemma":[0.000009165832,0.0006082479,0.9208701,0.0002671839,0.00008729986,0.0002673187,0.06757482,0.004085381,0.0009795969,0.001643426,0.00358193,0.00002553413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969456,0.00007801613,0.0001727417,0.00009931363,0.000001308567,0.000009241553,0.00001044194,7.802065e-7,0.002682652],"genre_scores_gemma":[0.9995616,0.0001106773,0.0001059342,0.00001127852,0.000001848688,0.00000368383,0.00001379651,4.912944e-7,0.0001905477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002418537,"threshold_uncertainty_score":0.01183158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223771878202112,"score_gpt":0.2525321652930845,"score_spread":0.2402944465110634,"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."}}