{"id":"W3026952660","doi":"10.5539/ibr.v13n6p73","title":"Exploring the Relationship between Perceived Big Data Advantages and Online Consumers’ Behavior: An Extended Hierarchy of Effects Model","year":2020,"lang":"en","type":"article","venue":"International Business Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tourism; Big data; Service quality; Hierarchy; Marketing; Business; Action (physics); Service (business); Customer satisfaction; Consumer behaviour; Advertising; Computer science; Economics","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":[0.01174555,0.002135681,0.001422807,0.00341138,0.001369615,0.003121334,0.002623185,0.002254365,0.008615955],"category_scores_gemma":[0.02133974,0.001247042,0.005342561,0.001780269,0.002131545,0.003389699,0.002236073,0.002739707,0.0009515882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002481876,"about_ca_system_score_gemma":0.003195784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0186533,"about_ca_topic_score_gemma":0.01381856,"domain_scores_codex":[0.9912598,0.005225686,0.0003260367,0.001153033,0.001117453,0.0009179494],"domain_scores_gemma":[0.9624839,0.03038382,0.002307314,0.001130368,0.002406928,0.001287617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001556989,0.004112879,0.6478856,0.002007458,0.005882116,0.00195556,0.0175864,0.04423459,0.004609286,0.1932162,0.003738624,0.07321425],"study_design_scores_gemma":[0.0007642499,0.004316936,0.3111694,0.0007855893,0.004701937,0.001261164,0.006488556,0.5079401,0.001223465,0.15016,0.01081821,0.0003702851],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6626148,0.00259232,0.2953907,0.004801963,0.0002812809,0.001896038,0.001703507,0.0005702095,0.03014923],"genre_scores_gemma":[0.9610339,0.0007984078,0.03250651,0.0002047233,0.00006815152,0.0009114269,0.0003530144,0.00004364793,0.004080198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0186533,"threshold_uncertainty_score":0.06211716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6203249708101625,"score_gpt":0.4874847930626641,"score_spread":0.1328401777474983,"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."}}