{"id":"W2059266011","doi":"10.1080/10919392.2013.807714","title":"Innovation Capability and Performance Of Manufacturing SME<scp>s</scp>: The Paradoxical Effect of IT Integration","year":2013,"lang":"en","type":"article","venue":"Journal of Organizational Computing and Electronic Commerce","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University; Université TÉLUQ; Université du Québec à Trois-Rivières","funders":"","keywords":"Business; Productivity; Industrial organization; Manufacturing; Exploit; Construct (python library); Formative assessment; Knowledge management; Resource (disambiguation); Enterprise resource planning; Small and medium-sized enterprises; Manufacturing sector; Survey data collection; Process management; Computer science; Marketing; Economics; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001085065,0.0001045272,0.0001982656,0.0002127904,0.0001510638,0.00007329915,0.0001259798,0.00003547832,0.00001451123],"category_scores_gemma":[0.0003810122,0.00007087241,0.00002384384,0.0005824389,0.00006536373,0.0002980808,0.00009550962,0.0002164821,0.00000246656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003152242,"about_ca_system_score_gemma":0.00002726885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001388605,"about_ca_topic_score_gemma":0.000002536847,"domain_scores_codex":[0.9989995,0.00003406575,0.0005344372,0.00008827,0.0002098005,0.0001339744],"domain_scores_gemma":[0.9983627,0.0002641384,0.0006233163,0.00007713713,0.0006663706,0.000006341656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001400052,0.0003172343,0.4653388,0.001739025,0.0002776762,7.821638e-7,0.001207465,0.000755772,0.007917214,0.4192334,0.006216142,0.0968565],"study_design_scores_gemma":[0.002633491,0.000828119,0.8515798,0.0004610134,0.0002299995,0.00006517497,0.001461109,0.101053,0.02628548,0.01042808,0.004722248,0.0002524649],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954983,0.00007510452,0.001533266,0.001223407,0.0000827297,0.0001408683,1.629483e-7,0.0000076891,0.001438495],"genre_scores_gemma":[0.9993061,0.00001742526,0.00007041078,0.0003516725,0.0002002613,6.710552e-7,0.000006668527,0.000008495984,0.00003827718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4088053,"threshold_uncertainty_score":0.2890093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00724429936454735,"score_gpt":0.219211449284334,"score_spread":0.2119671499197867,"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."}}