{"id":"W1912827910","doi":"10.1108/ijopm-03-2015-0120","title":"Absorptive capacity and mass customization capability","year":2015,"lang":"en","type":"article","venue":"International Journal of Operations & Production Management","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Absorptive capacity; Knowledge management; Knowledge acquisition; Mass customization; Knowledge value chain; Supply chain; Business; Personalization; Empirical evidence; Organizational learning; Context (archaeology); Computer science; Process management; Marketing","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":[0.001074392,0.0001361203,0.0001439718,0.0005475794,0.0001193524,0.0003780587,0.0002449307,0.00003623837,0.0000599629],"category_scores_gemma":[0.0003406136,0.0001250434,0.0000433622,0.0003259361,0.00006530453,0.002726407,0.00009602003,0.0001154231,0.00005965098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000200079,"about_ca_system_score_gemma":0.00004463219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000325895,"about_ca_topic_score_gemma":0.00002052922,"domain_scores_codex":[0.9985061,0.00002554149,0.0005018073,0.0002384953,0.0006115317,0.0001164968],"domain_scores_gemma":[0.9974589,0.000006096575,0.0002864238,0.0001387702,0.002083698,0.00002616061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001836825,0.001962622,0.1087673,0.0003760937,0.002509485,0.0001261107,0.004865891,0.3081659,0.006877078,0.2260803,0.2056008,0.1328315],"study_design_scores_gemma":[0.008439502,0.0001306988,0.06727486,0.0003505876,0.0007485236,0.0002825054,0.007677631,0.03725889,0.004375307,0.04210362,0.8297208,0.001637102],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8862048,0.0002280217,0.05368502,0.02823477,0.01156608,0.0009754882,0.000003991444,0.0001355573,0.01896627],"genre_scores_gemma":[0.98646,0.00007076646,0.00949031,0.0005245109,0.002414634,0.00001561826,0.00003160794,0.00001525127,0.0009773556],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6241199,"threshold_uncertainty_score":0.5099123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0276772838934424,"score_gpt":0.2415329882062044,"score_spread":0.213855704312762,"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."}}