{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001320394,0.0001694385,0.0001513095,0.0004071206,0.000365585,0.000331652,0.0004576544,0.00001930415,0.00000941015],"category_scores_gemma":[0.00002069239,0.0001637045,0.0000257599,0.0008415721,0.0002228471,0.001688858,0.0003580137,0.00005046466,0.00001996529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000634347,"about_ca_system_score_gemma":0.000007635854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003655813,"about_ca_topic_score_gemma":0.000005012518,"domain_scores_codex":[0.9979419,0.000005781057,0.0002784414,0.0004299954,0.001033399,0.0003105368],"domain_scores_gemma":[0.9993126,0.000005573642,0.0002629095,0.0002799008,0.000122825,0.00001621802],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006928815,0.0001824747,0.730395,0.004393142,0.00008039967,0.000004300401,0.0001467386,0.1271631,0.05575184,0.06805614,0.001024575,0.01273299],"study_design_scores_gemma":[0.0003099436,0.00001008555,0.1143779,0.0001741622,0.00007527197,6.54403e-7,0.00008568229,0.882634,0.0005542379,0.0003405061,0.00119084,0.00024664],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9703228,0.000008975605,0.02000479,0.001186827,0.0001979149,0.0002542194,4.047065e-7,0.00007085093,0.007953219],"genre_scores_gemma":[0.9918782,0.000006921443,0.003658174,0.004236201,0.0001691625,0.000007363453,0.00000353888,0.00001516286,0.00002527953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.755471,"threshold_uncertainty_score":0.6675677,"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."}}