{"id":"W2972469785","doi":"","title":"DETERMINANTS OF BANK CUSTOMERâÂÂS INTENTION TO ADOPT ELECTRONIC FINANCE TECHNOLOGIES IN ETHIOPIA: AN INTEGRATION OF TAM WITH FINANCIAL RISK, FINANCIAL TRUST, AND AWARENESS","year":2019,"lang":"en","type":"article","venue":"The Journal of Internet Banking and Commerce","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Finance; Exploratory factor analysis; Business; Technology acceptance model; Marketing; Risk perception; Electronic banking; Usability; Computer science; The Internet; Psychology; Perception","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":[0.001089492,0.0001884595,0.0001406361,0.0006447362,0.0003871484,0.001524016,0.0001653769,0.0003970505,0.003056495],"category_scores_gemma":[0.002905974,0.0002219535,0.000266009,0.0004586142,0.0003144451,0.0005475565,0.0003686566,0.0006033677,0.0002676295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005016028,"about_ca_system_score_gemma":0.000819303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006007504,"about_ca_topic_score_gemma":0.005952925,"domain_scores_codex":[0.9994432,0.000206848,0.00004407023,0.00004096124,0.0001227644,0.0001421061],"domain_scores_gemma":[0.9958963,0.002245711,0.0007687745,0.00007883801,0.0006701681,0.0003400867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007002137,0.0004753477,0.9851074,0.00003445509,0.00003850674,0.000234163,0.003644468,0.0002876403,0.0007385944,0.0007088822,0.0002705821,0.008389945],"study_design_scores_gemma":[0.000007571886,0.0002158794,0.9756756,0.00008565636,0.00006550625,0.0002539045,0.01808171,0.003623401,0.0006167399,0.0002427473,0.001110683,0.00002059184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985914,0.00003340367,0.00006502841,0.00008635512,0.000001651649,0.000005856074,0.00002126464,9.827822e-7,0.00119411],"genre_scores_gemma":[0.999619,0.00004158535,0.00006375147,0.00001817024,0.000001200782,0.000004156725,0.00001423189,4.617222e-7,0.0002374832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006007504,"threshold_uncertainty_score":0.01194507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03250593538220929,"score_gpt":0.3297245085424377,"score_spread":0.2972185731602284,"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."}}