{"id":"W4210771093","doi":"10.5267/j.uscm.2021.12.002","title":"The effect of digital supply chain on organizational performance: An empirical study in Malaysia manufacturing industry","year":2022,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":323,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Capgemini","keywords":"Supply chain; Business; Structural equation modeling; Marketing; Manufacturing; Supply chain management; Stratified sampling; Industrial organization; Organizational performance; Process management; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002808356,0.0002554478,0.0002550825,0.001590294,0.001041631,0.002053683,0.0005007271,0.0005346039,0.003202874],"category_scores_gemma":[0.006376567,0.0002357051,0.0003893993,0.001621318,0.0009326986,0.001610528,0.001460104,0.0008917795,0.0004441491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002261819,"about_ca_system_score_gemma":0.00242591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00820809,"about_ca_topic_score_gemma":0.009776187,"domain_scores_codex":[0.9978008,0.0007650384,0.0002054697,0.0001926138,0.0005343381,0.000501823],"domain_scores_gemma":[0.9872059,0.004594678,0.004224798,0.0004054189,0.001653228,0.001916053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008839458,0.00120949,0.9721571,0.00009150903,0.00004013889,0.0003222743,0.01032638,0.0003745276,0.0002453112,0.0003830612,0.0002205724,0.01454126],"study_design_scores_gemma":[0.000007859591,0.0006171383,0.951768,0.0001256386,0.00003728413,0.0001489474,0.04408601,0.001792396,0.0003926538,0.0001182688,0.0008857329,0.00001998864],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990774,0.00006124951,0.00004946036,0.00006902175,0.000001281118,0.000008936418,0.00001708025,8.861908e-7,0.0007146285],"genre_scores_gemma":[0.9994868,0.0001076603,0.00007332868,0.0000191439,0.000003147225,0.000006542687,0.00002613243,7.610519e-7,0.000276481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00820809,"threshold_uncertainty_score":0.01641071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527637972018582,"score_gpt":0.2560177445959252,"score_spread":0.2407413648757394,"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."}}