{"id":"W2133777030","doi":"10.5267/j.msl.2014.2.022","title":"Performance measurement of administration services using balance scorecard and Kano model","year":2014,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Accounting and Organizational Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Balanced scorecard; Kano model; Measure (data warehouse); Computer science; Service (business); Performance measurement; Balance (ability); Administration (probate law); Process management; Perspective (graphical); Unit (ring theory); Business; Knowledge management; Service quality; Marketing; Data mining; Artificial intelligence; Psychology","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":[0.005957784,0.001009288,0.0008748398,0.008506222,0.0007790008,0.002811004,0.0007707837,0.0006361752,0.001729051],"category_scores_gemma":[0.02078075,0.000210568,0.0006187665,0.01118547,0.0008804883,0.003570059,0.001079472,0.0006288937,0.0007771964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002296026,"about_ca_system_score_gemma":0.001631833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004144289,"about_ca_topic_score_gemma":0.002878832,"domain_scores_codex":[0.9847388,0.004747891,0.001514346,0.0006370554,0.007668165,0.0006938013],"domain_scores_gemma":[0.9884602,0.003165318,0.003041677,0.0005150521,0.00434132,0.0004764875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000564198,0.001044088,0.5592261,0.000742626,0.0003161509,0.0001941479,0.003653648,0.02044714,0.004640346,0.01063779,0.005285942,0.3932479],"study_design_scores_gemma":[0.0001044943,0.002862602,0.8230787,0.0004192018,0.0002341122,0.0005362398,0.01283993,0.1184838,0.008829935,0.01009301,0.02218856,0.0003294456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8644362,0.001413792,0.08222783,0.0008523244,0.0001734346,0.0009669645,0.001337326,0.0003933377,0.0481988],"genre_scores_gemma":[0.9767731,0.000371991,0.02068025,0.00004304719,0.0000388988,0.0002250823,0.0006719145,0.00001791704,0.001177805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008506222,"threshold_uncertainty_score":0.03150815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145772838326222,"score_gpt":0.1971201592379411,"score_spread":0.1825428754053189,"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."}}