{"id":"W2107618384","doi":"10.1287/orsc.1060.0225","title":"A Triple Take on Information System Implementation","year":2007,"lang":"en","type":"article","venue":"Organization Science","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":151,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; McGill University","funders":"","keywords":"Variety (cybernetics); Outcome (game theory); Computer science; Set (abstract data type); Situated; Multilevel model; Resistance (ecology); Knowledge management; Organizational theory; Dimension (graph theory); Information system; Organizational structure; Organizational studies; Organizational behavior; Management science; Organizational learning; Psychology; Social psychology; Artificial intelligence; Microeconomics; Machine learning; Management; Economics; Political 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005062495,0.00009228605,0.0001036613,0.001181753,0.0005761695,0.000442782,0.0007979412,0.00007140089,0.0004675465],"category_scores_gemma":[0.002075123,0.00007407879,0.00002021426,0.007686359,0.0001798256,0.001945331,0.0000933657,0.00009117102,0.002264699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002268769,"about_ca_system_score_gemma":0.0001735501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000763943,"about_ca_topic_score_gemma":0.000007929789,"domain_scores_codex":[0.9970258,0.00003116992,0.0006307721,0.0003004428,0.001743863,0.0002679339],"domain_scores_gemma":[0.9976603,0.00008504163,0.0003421945,0.0004589346,0.001339919,0.0001136032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002763193,0.00006238504,0.5751708,0.000004450671,0.000003118428,0.000005242259,0.003480494,0.000103564,0.0153161,0.2563772,0.007731875,0.1417172],"study_design_scores_gemma":[0.0005369824,0.00006909293,0.9164344,0.00000621538,0.000004299332,0.00002484134,0.01085399,0.0002803083,0.06243648,0.0003232626,0.008871251,0.0001588991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8070738,0.000001207105,0.1872712,0.0007119115,0.0008090051,0.0002260367,0.00000798852,0.0003138126,0.003585067],"genre_scores_gemma":[0.9981948,4.634224e-7,0.001087218,0.0004684798,0.00002577851,0.000002071127,0.000009996765,0.000005148,0.0002061014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3412637,"threshold_uncertainty_score":0.9985121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05712509783056679,"score_gpt":0.3884842219094899,"score_spread":0.3313591240789231,"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."}}