{"id":"W2054706026","doi":"10.1108/08876040810862895","title":"Toward a measure of service convenience: multiple‐item scale development and empirical test","year":2008,"lang":"en","type":"article","venue":"Journal of Services Marketing","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":262,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Nomological network; Generalizability theory; Scale (ratio); Sample (material); Context (archaeology); Empirical research; Psychology; Reliability (semiconductor); Service (business); Service quality; Test (biology); Marketing; Applied psychology; Business; Statistics","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":[0.01414808,0.0003734946,0.000486685,0.002265933,0.0007657263,0.001270676,0.0007174586,0.0005943805,0.003143706],"category_scores_gemma":[0.04980302,0.0003030578,0.0009616814,0.002609722,0.0009453097,0.002257714,0.001543559,0.001053224,0.0005584733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008149492,"about_ca_system_score_gemma":0.002015384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001110622,"about_ca_topic_score_gemma":0.001466382,"domain_scores_codex":[0.9933687,0.003081994,0.0008478337,0.0002778425,0.002243053,0.0001804715],"domain_scores_gemma":[0.9657565,0.02034351,0.002395684,0.001858473,0.008849913,0.0007959068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004810214,0.001429424,0.653381,0.0004519202,0.0002007209,0.0001517187,0.003769252,0.002207557,0.002598041,0.008778256,0.003495232,0.3230557],"study_design_scores_gemma":[0.0003570749,0.005556935,0.883494,0.0008948293,0.0002998694,0.0007511835,0.01156489,0.05608938,0.005770586,0.01618495,0.01886153,0.0001748876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8860057,0.0003667937,0.08540446,0.0007989373,0.0001392293,0.003948784,0.0008026366,0.0002666569,0.02226684],"genre_scores_gemma":[0.9013624,0.000232697,0.09425311,0.0001106806,0.00002878749,0.002866964,0.0005106282,0.00003020792,0.0006045348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01414808,"threshold_uncertainty_score":0.07482302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04696864260130799,"score_gpt":0.2528351494912759,"score_spread":0.2058665068899679,"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."}}