{"id":"W2048508021","doi":"10.1057/jit.2008.12","title":"Linking IT Implementation and Acceptance via the Construct of Psychological Ownership of Information Technology","year":2008,"lang":"en","type":"article","venue":"Journal of Information Technology","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; HEC Montréal","funders":"Canada Research Chairs","keywords":"Construct (python library); Technology acceptance model; Computer science; Soft systems methodology; Usability; Linkage (software); Information system; Knowledge management; Information technology; Management information systems; Human–computer interaction","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":[0.006715387,0.0003706665,0.0003149093,0.001807163,0.0004789725,0.003288622,0.0004237102,0.0007458371,0.002811859],"category_scores_gemma":[0.0363497,0.0003761035,0.0005351505,0.00108767,0.003554432,0.0031259,0.002846956,0.001714354,0.0001185768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000764296,"about_ca_system_score_gemma":0.001379447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001226506,"about_ca_topic_score_gemma":0.0009775246,"domain_scores_codex":[0.9934675,0.004039767,0.0003429504,0.0003479427,0.001280385,0.000521517],"domain_scores_gemma":[0.9259698,0.05073772,0.01451527,0.002506083,0.00377681,0.002494225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002495349,0.001296906,0.8839567,0.0002364593,0.0002776861,0.0002442515,0.01568078,0.001584061,0.001668892,0.02114007,0.0001383482,0.07352638],"study_design_scores_gemma":[0.00005056641,0.001475519,0.9485744,0.0002479073,0.0001999334,0.0005027988,0.02087524,0.009541295,0.001590057,0.0151117,0.001748197,0.00008234568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849489,0.0001451721,0.007332429,0.0005668653,0.000006539568,0.0000489037,0.0000134141,0.00001101962,0.006926693],"genre_scores_gemma":[0.9992967,0.00004976602,0.0005134841,0.00002334133,0.00000552778,0.0000160361,0.000007240357,0.000001876453,0.00008612675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006715387,"threshold_uncertainty_score":0.03551477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0750249246063979,"score_gpt":0.3942300861705713,"score_spread":0.3192051615641734,"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."}}