{"id":"W4412533507","doi":"10.5267/j.ijdns.2024.8.006","title":"Investigating the effect of e-service quality on customer loyalty within the online marketplace during the covid-19 pandemic","year":2025,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Consumer Behavior and Marketing Influence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Business; Loyalty; Service quality; Loyalty business model; Quality (philosophy); Marketing; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Service (business); Advertising; Virology; Medicine; Internal medicine; Physics","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":[0.003547027,0.0001299446,0.0002690525,0.0009017594,0.001164773,0.001969045,0.0003992844,0.0006779924,0.002173617],"category_scores_gemma":[0.01924012,0.0001345483,0.0004994065,0.001175192,0.001056375,0.001412252,0.001568631,0.001446164,0.0002151098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001554365,"about_ca_system_score_gemma":0.00139215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01398823,"about_ca_topic_score_gemma":0.02036986,"domain_scores_codex":[0.9972357,0.001108315,0.0001742302,0.0001336811,0.0005844462,0.0007636345],"domain_scores_gemma":[0.9750443,0.009333636,0.008775716,0.0006632839,0.003225668,0.00295748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002018454,0.0004885362,0.9787294,0.00003341155,0.00005503603,0.0001376875,0.004457003,0.0002096397,0.000326469,0.0003573365,0.0002269069,0.01477673],"study_design_scores_gemma":[0.000003812066,0.0003193718,0.9867275,0.00001762133,0.00001983076,0.00005569079,0.01177279,0.000532858,0.0001515101,0.00006712225,0.0003212241,0.00001058543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985726,0.00004182589,0.00006064416,0.0001827772,0.000005311889,0.00001042156,0.00002397568,0.000001063831,0.001101385],"genre_scores_gemma":[0.9997194,0.00002708754,0.00004171434,0.00003434933,0.000004015983,0.000005256474,0.00002224737,7.526403e-7,0.0001450828],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01398823,"threshold_uncertainty_score":0.02781361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05327152862343469,"score_gpt":0.3711852754498063,"score_spread":0.3179137468263716,"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."}}