{"id":"W2053834384","doi":"10.5539/ibr.v4n3p254","title":"The FMEA Approach to Identification of Critical Failure Factors in ERP Implementation","year":2011,"lang":"en","type":"article","venue":"International Business Research","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Failure mode and effects analysis; Identification (biology); Enterprise resource planning; Risk analysis (engineering); Computer science; Failure causes; Quality (philosophy); Strengths and weaknesses; Reliability engineering; Business; Process management; Engineering; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003502205,0.002190152,0.001284826,0.008944115,0.001005428,0.001403831,0.001138041,0.001212747,0.004048493],"category_scores_gemma":[0.006872524,0.0006967869,0.001747832,0.002794572,0.001498679,0.001285312,0.0007534017,0.001357207,0.0002705026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002218684,"about_ca_system_score_gemma":0.002336171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009357809,"about_ca_topic_score_gemma":0.00808519,"domain_scores_codex":[0.9979216,0.000829134,0.0001162173,0.0002661905,0.0006853464,0.0001815367],"domain_scores_gemma":[0.9965318,0.002719668,0.000289972,0.0000657866,0.00034924,0.00004352341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0002558405,0.0003795026,0.007808953,0.001232565,0.0005548512,0.0009110034,0.0009992908,0.4751725,0.0100067,0.07755796,0.002054459,0.4230664],"study_design_scores_gemma":[0.000078353,0.0006254438,0.009190062,0.0004937531,0.0002314526,0.000678375,0.0007555431,0.8872889,0.005112543,0.08745106,0.007920225,0.0001741937],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01231433,0.001076627,0.9813303,0.0001887692,0.0000588135,0.0001925291,0.00005805069,0.0001684451,0.00461203],"genre_scores_gemma":[0.3674037,0.001700261,0.6261001,0.0001450767,0.0001462242,0.0006439451,0.000150845,0.00006777488,0.003642015],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009357809,"threshold_uncertainty_score":0.01860666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1881593094177463,"score_gpt":0.4398400068552823,"score_spread":0.251680697437536,"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."}}