{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001762384,0.0001054842,0.000113755,0.0008123082,0.0001970736,0.0003351608,0.0006119488,0.00004058835,0.0003881635],"category_scores_gemma":[0.001199893,0.00007993745,0.0000386705,0.001317466,0.0001189253,0.001088627,0.0001997129,0.0001444407,0.000135964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001047094,"about_ca_system_score_gemma":0.00005308231,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00427077,"about_ca_topic_score_gemma":0.0009287624,"domain_scores_codex":[0.9978306,0.0000575405,0.0005922282,0.000244601,0.0009560048,0.0003190215],"domain_scores_gemma":[0.997821,0.0001798756,0.0001355903,0.0002198978,0.001623625,0.00002003049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002759318,0.0008703648,0.5846082,0.0003597458,0.00008455921,0.000005038733,0.003921971,0.00006966362,0.01706336,0.3666369,0.01852932,0.007574965],"study_design_scores_gemma":[0.0003590964,0.000007875503,0.9747072,0.00002486563,0.00000462976,0.00000113828,0.009541505,0.000331586,0.001665932,0.002887815,0.01035779,0.0001105496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483711,0.00002101234,0.005383404,0.007247699,0.00111384,0.001181687,0.0000353038,0.00005158822,0.03659435],"genre_scores_gemma":[0.9991109,0.000003344427,0.0001416405,0.00009783485,0.0002633448,0.0001089707,0.00008653216,0.00001710747,0.0001702608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.390099,"threshold_uncertainty_score":0.6456155,"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."}}