{"id":"W2058358275","doi":"10.1016/j.im.2014.11.002","title":"Factors affecting adoption of online banking: A meta-analytic structural equation modeling study","year":2014,"lang":"en","type":"article","venue":"Information & Management","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":292,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Structural equation modeling; Business; Affect (linguistics); Marketing; Order (exchange); Empirical research; Technology acceptance model; Meta-analysis; Econometrics; Knowledge management; Computer science; Economics; Psychology; Statistics; Mathematics; Usability","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03328703,0.001257598,0.003637322,0.003612663,0.0009047199,0.002911449,0.001423953,0.001637457,0.001320987],"category_scores_gemma":[0.05634443,0.001366356,0.01688996,0.005603701,0.001013012,0.002593578,0.001520805,0.001944937,0.0001150346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659344,"about_ca_system_score_gemma":0.003034551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008382066,"about_ca_topic_score_gemma":0.01058046,"domain_scores_codex":[0.9806833,0.01328408,0.002892018,0.001557157,0.001221613,0.0003619348],"domain_scores_gemma":[0.8864501,0.09424532,0.01010085,0.004866029,0.003430526,0.0009072226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.003044754,0.0009484095,0.5673847,0.0141796,0.386393,0.0001562642,0.003573033,0.001106422,0.0004415891,0.0004652151,0.0003150251,0.02199207],"study_design_scores_gemma":[0.001478538,0.00308746,0.2668248,0.005890981,0.7110643,0.000346685,0.003025405,0.005045664,0.0007972528,0.0009986351,0.001313847,0.0001263756],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9264239,0.06672483,0.00461481,0.0006928697,0.000112219,0.0003777726,0.000502834,0.00003782823,0.0005129875],"genre_scores_gemma":[0.9880282,0.007673218,0.0033761,0.0002365087,0.00003667244,0.0002662506,0.0002599753,0.00001367479,0.0001095598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03328703,"threshold_uncertainty_score":0.1760408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2721712686512319,"score_gpt":0.3984542360224592,"score_spread":0.1262829673712272,"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."}}