{"id":"W1730855035","doi":"","title":"Managing technological change in manufacturing SMEs: a multiple case analysis","year":2014,"lang":"en","type":"article","venue":"International Journal of Technology Management","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Business; Technological change; Process (computing); Manufacturing sector; Industrial organization; Knowledge management; Organizational change; Process management; Computer science; Economics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002577092,0.0003663312,0.0003765392,0.002272297,0.002995737,0.001934924,0.001231418,0.001554637,0.001395669],"category_scores_gemma":[0.005247798,0.0002497149,0.0007131671,0.003158693,0.001165556,0.00105919,0.001126362,0.0006245099,0.0001072624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007305658,"about_ca_system_score_gemma":0.003379155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1371789,"about_ca_topic_score_gemma":0.1970791,"domain_scores_codex":[0.9979686,0.001037137,0.0001045298,0.0001222284,0.0003737041,0.0003937075],"domain_scores_gemma":[0.9946273,0.003985167,0.0004624989,0.0002469424,0.0005099073,0.0001681068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001590289,0.006175268,0.4205824,0.001198354,0.0006268143,0.03844067,0.121833,0.09618053,0.01917782,0.04692828,0.003294935,0.2439718],"study_design_scores_gemma":[0.0002681669,0.002466086,0.3323501,0.0006691688,0.0008151185,0.007095912,0.3218439,0.2667839,0.02283516,0.012169,0.03240632,0.0002972368],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993982,0.0001239488,0.002276453,0.0001549311,0.000002313611,0.0002034405,0.00006312893,0.000003965449,0.003189647],"genre_scores_gemma":[0.991355,0.0002815483,0.006876289,0.00002964863,0.0000030238,0.0001405384,0.00007945555,0.000002702758,0.001231831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1371789,"threshold_uncertainty_score":0.2727609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000128412045764,"score_gpt":0.266625036013361,"score_spread":0.2466237518929034,"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."}}