{"id":"W4319978463","doi":"10.1109/ice/itmc-iamot55089.2022.10033197","title":"Design or Redesign Business Models' Innovation in the Digital Transformation Context","year":2022,"lang":"en","type":"article","venue":"2022 IEEE 28th International Conference on Engineering, Technology and Innovation (ICE/ITMC) &amp; 31st International Association For Management of Technology (IAMOT) Joint Conference","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Digital transformation; Context (archaeology); Transformation (genetics); Business model; Computer science; Model transformation; Process management; Knowledge management; Business; World Wide Web; Marketing; Artificial intelligence","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":[0.01024092,0.0007333995,0.0004617287,0.002075311,0.002292647,0.01093115,0.001588695,0.002293702,0.003440951],"category_scores_gemma":[0.0147372,0.0005378336,0.001276377,0.001651462,0.007172816,0.0127235,0.005596646,0.002487902,0.0006996795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004036199,"about_ca_system_score_gemma":0.005908299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001871287,"about_ca_topic_score_gemma":0.002562025,"domain_scores_codex":[0.9895239,0.006870625,0.0004379202,0.0007383307,0.001575544,0.0008536568],"domain_scores_gemma":[0.990522,0.00505483,0.0009164941,0.001960595,0.0008855881,0.0006604188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005162317,0.0003862264,0.004836343,0.0004684844,0.00004237098,0.0003772302,0.02113826,0.006279388,0.002790862,0.8151293,0.00219125,0.1463085],"study_design_scores_gemma":[0.0001380833,0.0005078274,0.004488214,0.001023712,0.0001219326,0.001393739,0.04818809,0.04606393,0.01055014,0.6401769,0.2472234,0.0001240293],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3275961,0.002560408,0.4851464,0.01794974,0.0002969111,0.0009071964,0.00008448628,0.0005495984,0.1649092],"genre_scores_gemma":[0.7701759,0.001401658,0.2202838,0.0006200087,0.00003485087,0.0002947223,0.0001086399,0.0001033804,0.006976952],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01093115,"threshold_uncertainty_score":0.05415976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07725530330940072,"score_gpt":0.2625794428069453,"score_spread":0.1853241394975446,"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."}}