{"id":"W1742589162","doi":"","title":"HOW PERCEIVED TECHNOLOGICAL AND PEOPLE RELATED CHARACTERISTICS OF AN ORGANIZATION AFFECT SUCCESS IN INSTITUTIONALIZING ERP SYSTEMS","year":2008,"lang":"en","type":"article","venue":"","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; University of Windsor","funders":"","keywords":"Affect (linguistics); Business; Public relations; Perception; Marketing; Knowledge management; Psychology; Political science; Computer science; Communication","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":[0.003024789,0.000256564,0.000186464,0.0008386453,0.0006161148,0.002734412,0.0002444089,0.0006339593,0.003567667],"category_scores_gemma":[0.01521716,0.0001574139,0.0002646978,0.0006831696,0.000984899,0.001622717,0.0008514143,0.0008084888,0.0003633326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000500323,"about_ca_system_score_gemma":0.0005138397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00332248,"about_ca_topic_score_gemma":0.004930217,"domain_scores_codex":[0.9983493,0.0008521455,0.0000971148,0.0001262617,0.0002998821,0.0002753028],"domain_scores_gemma":[0.9748179,0.01315132,0.007310739,0.000580901,0.001730011,0.002409224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001426472,0.0006494116,0.9825417,0.00004494303,0.00008686126,0.0001224729,0.005361748,0.0003501776,0.001357109,0.0003043402,0.0001233451,0.008915196],"study_design_scores_gemma":[0.000006933684,0.0003681779,0.9889613,0.00001288046,0.00002784995,0.00005468645,0.009199558,0.0004467694,0.0004832114,0.0001219011,0.0003004656,0.00001622686],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986655,0.00002248232,0.00009905289,0.00004387367,0.000001499198,0.000006692912,0.00001273727,0.0000015342,0.001146651],"genre_scores_gemma":[0.9996424,0.0000360843,0.0001180764,0.00001810723,0.000001787413,0.00000444256,0.00002283759,0.000001183111,0.0001551192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003567667,"threshold_uncertainty_score":0.01599681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02375788745473625,"score_gpt":0.2444681405403847,"score_spread":0.2207102530856485,"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."}}