{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004762,0.0003865506,0.0002545033,0.0004916221,0.0008328283,0.0008151858,0.0005727427,0.0001850014,0.0001641964],"category_scores_gemma":[0.0001528248,0.0002998016,0.00008313268,0.0009112266,0.0001415316,0.0005906746,0.0002709767,0.0008530833,0.00002965248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009249407,"about_ca_system_score_gemma":0.0001066304,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000577284,"about_ca_topic_score_gemma":0.0005049634,"domain_scores_codex":[0.9959922,0.0006665674,0.0005337871,0.0007667649,0.001177027,0.000863647],"domain_scores_gemma":[0.9988607,0.0004831452,0.0001133209,0.0003307816,0.00002866426,0.00018344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002164391,0.0002022513,0.8980413,0.0001486478,0.00007055784,0.00005630414,0.06749785,0.00291017,0.000006836562,0.0006617389,0.0004639241,0.02991875],"study_design_scores_gemma":[0.0004175702,0.0002200195,0.7151213,0.0006010135,0.00003131746,6.891102e-7,0.2751373,0.003626773,0.0001084493,0.0003211564,0.003953772,0.0004606446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9773642,0.0000441631,0.00002421561,0.001752648,0.0005857199,0.001939032,0.000002723483,0.0002847495,0.01800248],"genre_scores_gemma":[0.9976002,0.00002704268,0.0001831486,0.00033168,0.0002914779,0.0001962163,0.00003300818,0.00004274377,0.001294513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2076395,"threshold_uncertainty_score":0.9999454,"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."}}