{"id":"W2157095414","doi":"10.5267/j.msl.2012.06.033","title":"A study on the effect of knowledge management on customer orientation in governmental organization","year":2012,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Cronbach's alpha; Structural equation modeling; Knowledge management; Customer orientation; Customer intelligence; Customer relationship management; Work (physics); Marketing; Customer retention; Computer science; Statistics; Mathematics; Service quality; Service (business); Engineering","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":[0.001873621,0.0001626131,0.0001530702,0.0006622732,0.0009243469,0.0007580731,0.0002459145,0.0004356744,0.002239207],"category_scores_gemma":[0.007171047,0.0001271918,0.0003297888,0.0008063652,0.0004705002,0.0005763348,0.0003072699,0.0007881269,0.0002078419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007284939,"about_ca_system_score_gemma":0.001670265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004985784,"about_ca_topic_score_gemma":0.006622977,"domain_scores_codex":[0.998969,0.0005253456,0.00004509486,0.00005318867,0.0002419879,0.0001654186],"domain_scores_gemma":[0.9812556,0.01268487,0.002266129,0.0003746509,0.001735897,0.001682755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001755402,0.003246741,0.9287208,0.0001840757,0.00009171674,0.0005187853,0.01628056,0.0001463506,0.001271072,0.0006405514,0.0008300241,0.04789372],"study_design_scores_gemma":[0.00001211051,0.0009998202,0.9856446,0.00004373457,0.00005674965,0.0001976657,0.01103811,0.00019273,0.0004623821,0.0001011882,0.001240991,0.00001001867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981628,0.00006679519,0.00004436397,0.0001573187,0.000003733254,0.000009997454,0.000009061497,7.898714e-7,0.001545183],"genre_scores_gemma":[0.9991835,0.0001548863,0.00009531155,0.0000908461,0.00000717876,0.00001147349,0.00001639518,6.169594e-7,0.000439795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004985784,"threshold_uncertainty_score":0.009913504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501520932893896,"score_gpt":0.2580609460704668,"score_spread":0.2430457367415279,"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."}}