{"id":"W2260484149","doi":"10.1108/jeim-03-2014-0028","title":"Critical success factors in enterprise resource planning implementation","year":2016,"lang":"en","type":"article","venue":"Journal of Enterprise Information Management","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Critical success factor; Enterprise resource planning; Process management; Computer science; Scope (computer science); Process (computing); Implementation; Manufacturing resource planning; Set (abstract data type); Knowledge management; Engineering; Software engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02098261,0.001038235,0.0005069639,0.009630114,0.003122051,0.01082088,0.001061536,0.0008708407,0.004577843],"category_scores_gemma":[0.06428219,0.0005392372,0.0008211441,0.007638273,0.005327407,0.005242608,0.003388923,0.002485277,0.0003392431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01050811,"about_ca_system_score_gemma":0.02058198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01037369,"about_ca_topic_score_gemma":0.006349924,"domain_scores_codex":[0.9796759,0.008465992,0.001658491,0.0007645889,0.007557031,0.001878081],"domain_scores_gemma":[0.8975234,0.06536623,0.01020284,0.002119079,0.02061204,0.004176413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000522477,0.0006194612,0.1863818,0.003654847,0.0003486776,0.001989326,0.06226306,0.009477302,0.002464865,0.2100716,0.008782342,0.5134243],"study_design_scores_gemma":[0.0001408485,0.00174218,0.367238,0.007721256,0.0005518241,0.002835705,0.2642955,0.02953904,0.0147421,0.1936729,0.1168871,0.0006335679],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.748582,0.004180452,0.06225552,0.008148874,0.0002397528,0.001779409,0.0003502236,0.0003232013,0.1741405],"genre_scores_gemma":[0.9865877,0.0004732505,0.01176534,0.00007821128,0.0000134189,0.0001983182,0.00005959006,0.00002546511,0.0007986723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02098261,"threshold_uncertainty_score":0.110968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02041331838897921,"score_gpt":0.3194461902778603,"score_spread":0.2990328718888811,"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."}}