{"id":"W3152518959","doi":"10.1080/17517575.2021.1894356","title":"Promoting e-banking actual usage: mix of technology acceptance model and technology-organisation-environment framework","year":2021,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University","funders":"","keywords":"Context (archaeology); Technology acceptance model; Novelty; Task (project management); Structural equation modeling; Reputation; Knowledge management; Affect (linguistics); Business; Social influence; Marketing; Government (linguistics); Computer science; Psychology; Usability; Social psychology; Management; Economics; Human–computer interaction","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000996025,0.0001896899,0.0003867016,0.001064663,0.0002051278,0.0002119548,0.0005819752,0.0005292753,0.0001416389],"category_scores_gemma":[0.001328621,0.0001704375,0.00005586399,0.001184069,0.0002371583,0.001203994,0.0004043519,0.0004149788,0.0002056867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008682725,"about_ca_system_score_gemma":0.00009893727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001470044,"about_ca_topic_score_gemma":7.343448e-7,"domain_scores_codex":[0.997236,0.00006357924,0.00131873,0.000326705,0.0007948541,0.0002601345],"domain_scores_gemma":[0.9977131,0.0001490729,0.0008892528,0.000820171,0.0003688153,0.00005960087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004825903,0.0002984638,0.7075486,0.0001608873,0.0001236171,0.00002264004,0.03018956,0.005137178,0.01404906,0.0932637,0.001050629,0.1481074],"study_design_scores_gemma":[0.005328415,0.0005631861,0.04932246,0.002165037,0.0002185075,0.001502216,0.2363138,0.3578917,0.08422198,0.1989746,0.06066732,0.002830742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8381214,0.0003036233,0.1588721,0.001445109,0.000246454,0.0003132016,0.00002749354,0.0002432632,0.0004274258],"genre_scores_gemma":[0.9914466,0.00004915003,0.008185664,0.00008137032,0.00001456314,0.00005071357,0.000008985407,0.00001012756,0.0001528953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6582262,"threshold_uncertainty_score":0.6950238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02919114957883253,"score_gpt":0.3018032879505919,"score_spread":0.2726121383717593,"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."}}