{"id":"W4391063468","doi":"10.5267/j.uscm.2024.1.021","title":"Investigating the factors affecting e-procurement adoption in supply chain performance: An empirical study on Malaysia manufacturing industry","year":2024,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Malaysia Pahang","keywords":"Business; Procurement; Supply chain; E-procurement; Supply chain management; Sample (material); Marketing; Government (linguistics); Directory; Empirical research; Industrial organization; Manufacturing; 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":[0.001917155,0.0002463531,0.0001896069,0.001127664,0.0006533568,0.001467369,0.0002830259,0.0005051984,0.002682922],"category_scores_gemma":[0.005345608,0.0002779125,0.00043981,0.001699644,0.0005272484,0.001294607,0.0007356296,0.0007446653,0.0003249033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097673,"about_ca_system_score_gemma":0.002052213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007004227,"about_ca_topic_score_gemma":0.009970095,"domain_scores_codex":[0.9989691,0.0003390062,0.0001326224,0.00009640848,0.0002236736,0.0002391949],"domain_scores_gemma":[0.9906956,0.004107103,0.003028625,0.0002215976,0.001160108,0.0007869494],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004268387,0.0005172995,0.9833544,0.00008017947,0.00002954525,0.0002199682,0.006281633,0.0002841292,0.0004910778,0.0001842065,0.00006680029,0.008448066],"study_design_scores_gemma":[0.000003704833,0.0002938444,0.9713277,0.0001019938,0.00003537839,0.0001221857,0.02586659,0.001190471,0.0004586435,0.00007634587,0.0005094379,0.00001378334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993655,0.00005364047,0.00006049855,0.00004023447,5.926325e-7,0.000009315584,0.00001448781,7.929551e-7,0.0004550279],"genre_scores_gemma":[0.9994738,0.0001295279,0.0001241257,0.00001165506,0.000001372525,0.00000612688,0.00002812249,5.945672e-7,0.0002246798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007004227,"threshold_uncertainty_score":0.01392692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04460343576835078,"score_gpt":0.3164279926451918,"score_spread":0.271824556876841,"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."}}