{"id":"W644699129","doi":"","title":"AN EXAMINATION OF INFORMATION TECHNOLOGY ASSETS AND RESOURCES AS ANTECEDENT FACTORS TO ERP SYSYTEM SUCCESS","year":2014,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cape Breton University","funders":"Jyväskylän Yliopisto; Cape Breton University","keywords":"Enterprise resource planning; Knowledge management; Antecedent (behavioral psychology); Business; Function (biology); Information technology; Value (mathematics); Order (exchange); Technology acceptance model; Psychology; Computer science; Usability","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":[0.004205477,0.0002865307,0.0002654544,0.002665873,0.0009135589,0.002817101,0.0003413468,0.0005059362,0.003854657],"category_scores_gemma":[0.02103519,0.0003356897,0.0002504168,0.002101773,0.001734488,0.001871629,0.001591227,0.0008840536,0.0001672384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001445697,"about_ca_system_score_gemma":0.002624354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007434408,"about_ca_topic_score_gemma":0.00746803,"domain_scores_codex":[0.9979869,0.001088042,0.000136069,0.000158658,0.0003570741,0.0002732887],"domain_scores_gemma":[0.9447252,0.04489229,0.006299615,0.0006235162,0.002127137,0.001332156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001020661,0.0004782528,0.9557371,0.0001566439,0.00005821657,0.0003778068,0.02226524,0.0004176466,0.0004792083,0.004266965,0.0002259432,0.01543493],"study_design_scores_gemma":[0.000007271195,0.0002287438,0.9482756,0.0002140745,0.00009407128,0.0001200256,0.04694666,0.001369706,0.0005661169,0.001046085,0.001116442,0.00001527278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963061,0.0001068134,0.0001079557,0.0001197635,0.000002054193,0.00001111999,0.00001876823,0.000001022439,0.003326521],"genre_scores_gemma":[0.9995571,0.00008078601,0.0001164886,0.00001088293,0.000002367065,0.000007479531,0.00001946417,5.336194e-7,0.0002048192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007434408,"threshold_uncertainty_score":0.022241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053849827364716,"score_gpt":0.2620840935601031,"score_spread":0.251545595286456,"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."}}