{"id":"W7104181169","doi":"10.5267/j.ijdns.2025.9.023","title":"The impact of business intelligence on electronic commerce growth: The mediating role of customer behavior analytics","year":2025,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Analytics; Theory of planned behavior; Structural equation modeling; Sample (material); Business intelligence; E-commerce; Customer relationship management; Customer engagement","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":[0.001711378,0.0005785878,0.0002902098,0.001530793,0.0008107979,0.003634234,0.0004058358,0.0006138991,0.004785653],"category_scores_gemma":[0.01003755,0.0002070831,0.0004582262,0.001371876,0.001077913,0.002343253,0.00210128,0.001224635,0.000482415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009494089,"about_ca_system_score_gemma":0.002452469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003466173,"about_ca_topic_score_gemma":0.002693918,"domain_scores_codex":[0.9983701,0.0007841607,0.00006030397,0.0001585559,0.0003774196,0.0002494553],"domain_scores_gemma":[0.9821272,0.01184627,0.00213565,0.0005092767,0.0018363,0.001545275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002673272,0.001596001,0.8396526,0.0003404886,0.000224675,0.001278701,0.009417775,0.001665405,0.002698929,0.02690573,0.002058118,0.1138942],"study_design_scores_gemma":[0.00003921566,0.0005871589,0.9360492,0.0003998125,0.0003928845,0.0006030877,0.01912066,0.009789435,0.003740274,0.01589142,0.01330441,0.0000824579],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9588107,0.0006908053,0.001522831,0.001986556,0.00003732503,0.00006168387,0.0001413088,0.00003809897,0.03671058],"genre_scores_gemma":[0.9979866,0.0004538868,0.0005560885,0.00008347192,0.00001877833,0.0000177496,0.00005272779,0.000005452997,0.0008253175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004785653,"threshold_uncertainty_score":0.01600963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04840419906488086,"score_gpt":0.3560650191575281,"score_spread":0.3076608200926473,"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."}}