{"id":"W4417241120","doi":"10.5267/j.jpm.2025.10.008","title":"Building manufacturing operational performance through management commitment, information technology adoption, supply chain transparency and practices","year":2025,"lang":"en","type":"article","venue":"Journal of Project Management","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Direktorat Jenderal Pendidikan Tinggi; Universitas Kristen Petra","keywords":"Supply chain; Supply chain management; Information technology; Transparency (behavior); Supply chain risk management; Service management; Demand chain","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":[0.008284329,0.0003649027,0.0002307609,0.001369452,0.001043576,0.004197282,0.000431104,0.0004767669,0.001570012],"category_scores_gemma":[0.02956736,0.0001901548,0.0002645406,0.001453866,0.00123147,0.002916973,0.002648933,0.001057938,0.0002544726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001482888,"about_ca_system_score_gemma":0.002238542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001602856,"about_ca_topic_score_gemma":0.001691046,"domain_scores_codex":[0.9897915,0.005026412,0.0006715988,0.0004797302,0.003088428,0.0009422582],"domain_scores_gemma":[0.9607638,0.01769297,0.01294577,0.002976244,0.003718036,0.001903244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003461426,0.001877483,0.6052621,0.0003667406,0.0002741097,0.0002903186,0.01597737,0.01792647,0.009957413,0.01375888,0.001128184,0.3328347],"study_design_scores_gemma":[0.00003525628,0.001694919,0.9317594,0.000355378,0.0001168508,0.000180115,0.01981209,0.02380434,0.008524961,0.007740849,0.005841085,0.0001348432],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833172,0.00009576974,0.00649712,0.000513748,0.000006878915,0.00005906661,0.00002459509,0.00004424049,0.009441392],"genre_scores_gemma":[0.9985943,0.00002791804,0.001180307,0.00001441729,0.000002563417,0.00001036432,0.000011846,0.000003174279,0.0001549436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008284329,"threshold_uncertainty_score":0.04381227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01526105744074103,"score_gpt":0.2838264406449211,"score_spread":0.2685653832041801,"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."}}