{"id":"W2895518777","doi":"10.1080/17517575.2018.1527042","title":"Enhancing online-to-offline specific customer loyalty in beauty industry","year":2018,"lang":"en","type":"article","venue":"Enterprise Information Systems","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Department of Industrial and Systems Engineering, Hong Kong Polytechnic University; Hong Kong Polytechnic University","keywords":"Loyalty business model; Business; Customer retention; Marketing; Customer delight; Customer advocacy; Customer satisfaction; Customer equity; Customer to customer; Customer intelligence; Customer profitability; Loyalty; Customer lifetime value; Service quality","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000809926,0.0001582188,0.0002021653,0.000813496,0.001070476,0.001796827,0.0003024715,0.0004188747,0.005574013],"category_scores_gemma":[0.002266976,0.0001089214,0.0003806473,0.0007550634,0.0004120603,0.001084932,0.001404731,0.0007709409,0.0004807007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006888719,"about_ca_system_score_gemma":0.001246646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003077784,"about_ca_topic_score_gemma":0.009688102,"domain_scores_codex":[0.9994105,0.0001734015,0.00001531833,0.00003878064,0.0001528722,0.0002091224],"domain_scores_gemma":[0.998234,0.00060424,0.0003083945,0.00009627463,0.0003388418,0.0004182511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009014289,0.005660358,0.4343315,0.0004721519,0.0001600414,0.0006002758,0.006450903,0.003041892,0.01982479,0.01043703,0.002742285,0.5153773],"study_design_scores_gemma":[0.00005653448,0.002391862,0.9401076,0.0001823647,0.0002054692,0.0004105433,0.01443783,0.01863398,0.01034816,0.004840004,0.00831116,0.00007455119],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9864412,0.00007638343,0.001671574,0.000144044,0.000005907283,0.00004540834,0.00001446432,0.00001903939,0.01158193],"genre_scores_gemma":[0.9973354,0.0000787818,0.001141576,0.00005357261,0.000005456298,0.00001163324,0.00002190403,0.000003846219,0.00134784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005574013,"threshold_uncertainty_score":0.01864696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02167433610866461,"score_gpt":0.2626503984247617,"score_spread":0.2409760623160971,"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."}}