{"id":"W3170564327","doi":"10.1080/01605682.2021.1907238","title":"Information technology and performance: Integrating data envelopment analysis and configurational approach","year":2021,"lang":"en","type":"article","venue":"Journal of the Operational Research Society","topic":"Efficiency Analysis Using DEA","field":"Decision Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Data envelopment analysis; Computer science; Information technology; Sample (material); Set (abstract data type); Performance measurement; Perspective (graphical); Investment (military); Operations research; Measure (data warehouse); Econometrics; Industrial organization; Business; Economics; Data mining; Marketing; Engineering; Statistics; Mathematics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006816032,0.001329147,0.001311497,0.008557546,0.0006241139,0.003858429,0.000799587,0.0009313102,0.0009308924],"category_scores_gemma":[0.02871025,0.0005256873,0.001178676,0.01494298,0.001658796,0.004280194,0.002370087,0.00098744,0.0001711394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003205755,"about_ca_system_score_gemma":0.001997811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008220567,"about_ca_topic_score_gemma":0.003649878,"domain_scores_codex":[0.9937387,0.003606899,0.0004385483,0.0003973972,0.001512179,0.0003063707],"domain_scores_gemma":[0.9835012,0.01147729,0.001948499,0.001616689,0.001222316,0.0002340432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001329285,0.0002570473,0.08178366,0.0002661083,0.0005806361,0.0001759009,0.0008207578,0.7406283,0.0009967615,0.1033498,0.0005001689,0.07050795],"study_design_scores_gemma":[0.00001572974,0.0001540037,0.02759314,0.0001229848,0.00007918567,0.00008372764,0.0008530565,0.8627859,0.001388897,0.1049016,0.001925954,0.00009574809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4155088,0.001788226,0.5636935,0.000918671,0.00003729945,0.0002670731,0.0007043913,0.0002547777,0.01682732],"genre_scores_gemma":[0.9685429,0.0003617508,0.03058627,0.00002580575,0.00001266897,0.00008652444,0.0001806173,0.00001666235,0.0001868447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008557546,"threshold_uncertainty_score":0.03604704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1542810115454037,"score_gpt":0.4389478217329266,"score_spread":0.2846668101875229,"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."}}