{"id":"W3125487857","doi":"","title":"Information Technology and Process Performance: An Empirical Investigation of the Interaction between IT and Non-IT Resources","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Premise; Knowledge management; Scope (computer science); Process (computing); Business; Resource (disambiguation); Perspective (graphical); Service (business); Business process; Sample (material); Work (physics); Resource-based view; Tacit knowledge; Empirical evidence; Computer science; Marketing; Work in process; Competitive advantage","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":[0.0004211921,0.00008706215,0.0001087755,0.000333987,0.0003757105,0.00005742283,0.0001606455,0.0001183754,0.000003257524],"category_scores_gemma":[0.00004611498,0.00006288893,0.00001728701,0.0004370223,0.0001765762,0.003827869,0.00004618016,0.0007263614,0.000005222106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005888306,"about_ca_system_score_gemma":0.0001713818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002375842,"about_ca_topic_score_gemma":0.00004724082,"domain_scores_codex":[0.9991116,0.00000556883,0.0003047389,0.00005693553,0.000157757,0.0003633856],"domain_scores_gemma":[0.9993003,0.000007362723,0.0004594058,0.00008245905,0.0001434113,0.000007053337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000304056,0.000006843331,0.9762286,0.00006196481,0.00002411131,1.214008e-7,0.001256742,0.00002882957,0.00004797384,0.004862755,0.0001625079,0.01728916],"study_design_scores_gemma":[0.001634622,0.0003512005,0.8392414,0.0001782029,0.00009092838,0.0005812524,0.03944851,0.006453866,0.001590121,0.1015021,0.008541822,0.0003859346],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952806,0.00003126762,0.0002677029,0.003409979,0.00003988791,0.0000936905,3.992605e-7,0.00002622598,0.0008502154],"genre_scores_gemma":[0.9990934,0.0002983323,0.0000123131,0.0004301901,0.0001230682,0.000004039063,0.000004175646,0.0000040772,0.00003036124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1369872,"threshold_uncertainty_score":0.3155719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01090999771776111,"score_gpt":0.2371366221842976,"score_spread":0.2262266244665365,"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."}}