{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004923036,0.000201855,0.0002295776,0.001569165,0.001216111,0.003321707,0.000646703,0.001172118,0.002548683],"category_scores_gemma":[0.0277314,0.0002772813,0.0004224461,0.000864368,0.00147386,0.001167333,0.002042964,0.001734462,0.0004999171],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584988,"about_ca_system_score_gemma":0.00135295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002718197,"about_ca_topic_score_gemma":0.002559391,"domain_scores_codex":[0.995684,0.001662825,0.0003718419,0.0002030779,0.0012847,0.000793442],"domain_scores_gemma":[0.956415,0.01432649,0.01260873,0.001072562,0.004041366,0.01153588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003098186,0.001854432,0.9454255,0.00006877597,0.00003857445,0.0007831104,0.03694213,0.0004705952,0.002278944,0.0008538844,0.0003310112,0.01064315],"study_design_scores_gemma":[0.00002833739,0.001226241,0.9046338,0.00005044676,0.0000172433,0.0006806806,0.08761428,0.002194397,0.001043922,0.0006647806,0.001776045,0.0000699274],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987748,0.00002245806,0.00009147108,0.0001328899,0.000002772443,0.00001141452,0.000008579528,0.000002299098,0.0009533547],"genre_scores_gemma":[0.9996964,0.00001764843,0.00006632538,0.00003850413,0.000002302368,0.000008853249,0.00001511588,0.000001343521,0.0001536666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004923036,"threshold_uncertainty_score":0.02603579,"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."}}