{"id":"W4408103358","doi":"10.1016/j.im.2025.104129","title":"Toward a more nuanced understanding of the IT use-individual performance relationship","year":2025,"lang":"en","type":"article","venue":"Information & Management","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Royal Military College of Canada; HEC Montréal","funders":"","keywords":"Knowledge management; Psychology; Engineering; Computer science; Sociology","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":[0.008877802,0.0006259155,0.0007285317,0.003496774,0.0007680437,0.005572022,0.0009362285,0.001114338,0.004798561],"category_scores_gemma":[0.02507822,0.0002404486,0.000435654,0.003135821,0.003204814,0.007311678,0.003923779,0.00216819,0.0004928173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007444666,"about_ca_system_score_gemma":0.0008676796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001312681,"about_ca_topic_score_gemma":0.001655373,"domain_scores_codex":[0.9951331,0.002639715,0.0002568738,0.0008727817,0.0007642682,0.0003332154],"domain_scores_gemma":[0.9468449,0.04252745,0.0048953,0.002625299,0.001898241,0.001208836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000222981,0.001374272,0.5944651,0.0009412308,0.0007977554,0.000232349,0.02077397,0.009411019,0.004467474,0.2171168,0.001241076,0.148956],"study_design_scores_gemma":[0.00002641182,0.001430471,0.7557642,0.0005965763,0.0002540156,0.0004286238,0.02068059,0.01811124,0.002103675,0.1852528,0.01518325,0.0001681622],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7924126,0.003620107,0.1205384,0.007765276,0.0001126681,0.0001533027,0.0005256672,0.0001917398,0.07468021],"genre_scores_gemma":[0.9867209,0.0007094978,0.01122237,0.0003359927,0.00005806964,0.00005440445,0.00009400066,0.0000248426,0.0007798936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008877802,"threshold_uncertainty_score":0.04695088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2626243106448848,"score_gpt":0.3776650918644941,"score_spread":0.1150407812196093,"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."}}