{"id":"W2018264337","doi":"10.1016/j.im.2013.02.008","title":"Interactive and diagnostic uses of management control systems in IS projects: Antecedents and their impact on performance","year":2013,"lang":"en","type":"article","venue":"Information & Management","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":54,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal; Carleton University","funders":"Canada Research Chairs","keywords":"Novelty; Task (project management); Control (management); Project management; Management control system; Discretion; Computer science; Knowledge management; Process management; Engineering; Psychology; Systems engineering; Artificial intelligence; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01050047,0.0004190986,0.0002802112,0.005592913,0.001732451,0.006748655,0.001551684,0.002714163,0.004221146],"category_scores_gemma":[0.1175915,0.0006616164,0.0004065832,0.002888929,0.004052896,0.004414063,0.003769002,0.00250425,0.000381128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003002721,"about_ca_system_score_gemma":0.003287528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004773342,"about_ca_topic_score_gemma":0.005773115,"domain_scores_codex":[0.9842021,0.008371785,0.001270308,0.0009197607,0.00397962,0.001256391],"domain_scores_gemma":[0.6650175,0.2607794,0.04607422,0.009153404,0.009830921,0.009144544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006870913,0.003072329,0.9451838,0.00009029504,0.0001209195,0.0003803387,0.01390183,0.001858227,0.001784778,0.006275126,0.0002098014,0.02643557],"study_design_scores_gemma":[0.0000873688,0.000775111,0.9533271,0.0001499877,0.0001181992,0.0004563187,0.02399591,0.009434004,0.001817801,0.008627162,0.001137857,0.00007332953],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991599,0.00009184908,0.0007014293,0.0002344446,0.000004074295,0.00004176987,0.00002349049,0.00002179633,0.007282197],"genre_scores_gemma":[0.999423,0.00003645034,0.0003384084,0.00001229462,0.000004544104,0.00001198943,0.00001888016,0.000005120337,0.0001492598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01050047,"threshold_uncertainty_score":0.05553252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006128326801239854,"score_gpt":0.2048180128367387,"score_spread":0.1986896860354989,"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."}}