{"id":"W3122173685","doi":"","title":"The Effect of Organizational Innovation and Information Technology on Firm Performance","year":2004,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"ICT Impact and Policies","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Industrial organization; Information technology; Knowledge management; Technology innovation; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00300535,0.0004313263,0.0004658574,0.001981516,0.001389624,0.004041836,0.0006095431,0.001508303,0.004978786],"category_scores_gemma":[0.02267548,0.0001215816,0.0004717235,0.003385664,0.00258108,0.001546037,0.00149802,0.00173905,0.000642571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009504966,"about_ca_system_score_gemma":0.01009443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3075429,"about_ca_topic_score_gemma":0.3860129,"domain_scores_codex":[0.9962636,0.0007333641,0.0001342395,0.0002510524,0.001125849,0.001491871],"domain_scores_gemma":[0.9506518,0.02605274,0.009332455,0.001199174,0.00572894,0.007034926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008818117,0.001216677,0.9063357,0.0001975364,0.0004439841,0.0003182994,0.001152768,0.01049163,0.001789135,0.01020617,0.002662224,0.06430417],"study_design_scores_gemma":[0.00002154452,0.0002681126,0.9922546,0.00004448424,0.00009954922,0.00003636124,0.0009687232,0.001382395,0.0006783745,0.001862788,0.002355858,0.00002702659],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691125,0.001816819,0.0003497377,0.002437142,0.00003633139,0.00002165791,0.0002716971,0.00002588664,0.02592829],"genre_scores_gemma":[0.9976762,0.0005368317,0.00007318154,0.00009356678,0.00003868492,0.000003082648,0.0000930907,0.000003662631,0.001481809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3075429,"threshold_uncertainty_score":0.6115056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007161654914372357,"score_gpt":0.2545456586058268,"score_spread":0.2473840036914545,"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."}}