{"id":"W2886068993","doi":"10.1002/kpm.1585","title":"Assessing the impact of customer knowledge management on organizational performance","year":2018,"lang":"en","type":"article","venue":"Knowledge and Process Management","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University; Toronto Metropolitan University","funders":"","keywords":"Knowledge management; Balanced scorecard; Customer knowledge; Organizational performance; Business; Process (computing); Process management; Performance measurement; Organizational learning; Organizational behavior management; Computer science; Organizational behavior and human resources; Customer advocacy; Marketing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001053292,0.0002268703,0.0002016723,0.0002961569,0.001192555,0.0002446469,0.0005511819,0.00005944849,0.0003257718],"category_scores_gemma":[0.00002334104,0.0001613876,0.00007666137,0.001187136,0.0004468584,0.0004203548,0.0003190469,0.0001170615,0.000439383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001249077,"about_ca_system_score_gemma":0.00006356635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001784529,"about_ca_topic_score_gemma":0.00005086021,"domain_scores_codex":[0.9984387,0.0001207253,0.0002982355,0.0003833289,0.0003313743,0.0004276677],"domain_scores_gemma":[0.9990802,0.00007351916,0.0001364758,0.0002834814,0.0003312157,0.00009512653],"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":[0.00008562901,0.001131246,0.05936405,0.001637489,0.001060277,0.000007454645,0.05587763,0.00006182006,0.00001437101,0.3957119,0.01587754,0.4691706],"study_design_scores_gemma":[0.003493991,0.0008780538,0.5013202,0.001872865,0.0008994979,0.00000307081,0.04818607,0.006972665,0.0007407636,0.009915357,0.4237505,0.001966973],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1707164,0.0004089845,0.0001457171,0.0000715838,0.0002818562,0.0004981816,9.812205e-7,0.00007100069,0.8278053],"genre_scores_gemma":[0.9770328,0.0005607951,0.00008263068,0.00003103607,0.0004726748,0.00004939377,0.000005429371,0.00002429193,0.02174098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8063164,"threshold_uncertainty_score":0.9172291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0310481520420184,"score_gpt":0.3819199570384484,"score_spread":0.3508718049964301,"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."}}