{"id":"W2807939827","doi":"10.2139/ssrn.3186759","title":"Business Value of Information Technology - A Data Analytics Approach","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Business analytics; Data science; Analytics; Business intelligence; Value (mathematics); Computer science; Business value; Business; Knowledge management; Business analysis; Business model; Marketing; Economics","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":[0.001315123,0.0001494772,0.0002014319,0.0006803279,0.0001968421,0.000179151,0.001439124,0.0001172211,0.00005232754],"category_scores_gemma":[0.0003598258,0.0001240144,0.00003150988,0.002021449,0.000209739,0.004045371,0.0005127693,0.0006417526,0.0001561307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009252743,"about_ca_system_score_gemma":0.0005853816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000227279,"about_ca_topic_score_gemma":0.0001475925,"domain_scores_codex":[0.998045,0.000006272115,0.0004317353,0.0001774612,0.0003043552,0.001035153],"domain_scores_gemma":[0.9980834,0.000009435147,0.0004916259,0.0006119693,0.0007953668,0.000008246136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008571098,0.0001102434,0.005308826,0.0001085135,0.0001178864,5.816398e-7,0.00001656204,0.00007633027,0.0001070843,0.9075389,0.00175759,0.0847718],"study_design_scores_gemma":[0.001197737,0.0001274544,0.004949882,0.0001639196,0.0004251204,0.0005289997,0.003052652,0.09239217,0.0002228555,0.62753,0.268606,0.0008032037],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0592926,0.0005709438,0.9247755,0.001892588,0.000660031,0.0002114193,0.00001700847,0.000113558,0.01246633],"genre_scores_gemma":[0.9964991,0.0004102638,0.001230914,0.0002417177,0.001321566,0.000001803831,0.0001807502,0.00001484011,0.00009903725],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9372065,"threshold_uncertainty_score":0.5057162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04383335467867931,"score_gpt":0.2752132461340386,"score_spread":0.2313798914553593,"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."}}