{"id":"W1789163608","doi":"","title":"CHARACTERISTICS AND EXPECTATIONS OF ES-INDUCED TECHNOLOGICAL CHANGE IN A HIGHER EDUCATION SETTING","year":2007,"lang":"en","type":"article","venue":"ASAC","topic":"ERP Systems Implementation and Impact","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Technological change; Organizational change; Higher education; Business; Grounded theory; Affect (linguistics); Process (computing); Perception; Knowledge management; Public relations; Qualitative research; Marketing; Political science; Sociology; Psychology; Economics; Economic growth; Computer science; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002448364,0.00006222352,0.00009339457,0.0002536766,0.00003700812,0.00003555865,0.00004701079,0.00004385961,0.0001389571],"category_scores_gemma":[0.00006852872,0.00005733554,0.00001368177,0.0002918801,0.00001625341,0.0003474778,0.00002908447,0.00005310441,0.00001829023],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001733736,"about_ca_system_score_gemma":0.000008449978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000178535,"about_ca_topic_score_gemma":0.00005711821,"domain_scores_codex":[0.9994679,0.000004828531,0.0002287841,0.00009671766,0.00007966276,0.0001220711],"domain_scores_gemma":[0.9996853,0.00003000888,0.0001595124,0.00007328487,0.00004504824,0.000006792312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001518036,0.000164762,0.7078425,0.0001498609,0.000009763702,0.000003259957,0.0006258407,2.806745e-8,0.01132843,0.07222413,0.0003912545,0.207245],"study_design_scores_gemma":[0.0001861268,0.000006943309,0.9930857,0.00004652275,0.000006780137,9.306031e-7,0.001544919,0.00003452451,0.0002480657,0.0002183859,0.004546792,0.00007429416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942045,0.00004005026,0.00002529642,0.001485253,0.0001886925,0.0002034645,0.000001302233,0.00003913245,0.003812296],"genre_scores_gemma":[0.9988745,0.000002303033,0.0001250851,0.000596268,0.0003029635,0.00002011967,0.00001891407,0.000007028269,0.00005285718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2852432,"threshold_uncertainty_score":0.2338075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0806485266913721,"score_gpt":0.3370110460200824,"score_spread":0.2563625193287103,"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."}}