{"id":"W2474689565","doi":"","title":"Using the Unified Theory of Acceptance and Use of Technology to Explain E-commerce Acceptance by Jordanian Travel Agencies","year":2016,"lang":"en","type":"article","venue":"Journal of Comparative International Management","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Expectancy theory; Government (linguistics); Unified theory of acceptance and use of technology; Social influence; Technology acceptance model; Affect (linguistics); Psychology; Life expectancy; Developing country; Context (archaeology); Marketing; Business; Social psychology; Sociology; Economics; Computer science; Economic growth; Geography","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":[0.002226206,0.0003884546,0.0003099319,0.001767513,0.0007208703,0.002255696,0.0005816239,0.0009992123,0.0032733],"category_scores_gemma":[0.006182243,0.0002166812,0.0007675989,0.001201251,0.001469162,0.002843587,0.001083444,0.001051254,0.000264121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001266933,"about_ca_system_score_gemma":0.001883126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005349585,"about_ca_topic_score_gemma":0.004578271,"domain_scores_codex":[0.9986975,0.0007140128,0.00009590795,0.00007508242,0.0002399885,0.0001774042],"domain_scores_gemma":[0.9970756,0.001727346,0.0004654573,0.0001139115,0.0004850396,0.0001326486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001060002,0.00146074,0.4769426,0.0005659602,0.000250013,0.001684987,0.07744139,0.008722126,0.001733542,0.2408858,0.002583479,0.1876232],"study_design_scores_gemma":[0.0001690321,0.001875632,0.529511,0.001617719,0.0003818712,0.003206071,0.1751327,0.1319013,0.001685327,0.1168309,0.03747997,0.0002083773],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9338271,0.0008989544,0.03005115,0.00224766,0.00004494828,0.0002044031,0.0000648976,0.00003641835,0.03262442],"genre_scores_gemma":[0.9961751,0.0003174826,0.002597976,0.00008431639,0.000009031272,0.00007237622,0.00002586935,0.000002754748,0.0007151269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005349585,"threshold_uncertainty_score":0.01177341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.20306921536618,"score_gpt":0.4251610983145591,"score_spread":0.2220918829483791,"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."}}