{"id":"W4388030311","doi":"10.5267/j.ijdns.2023.9.020","title":"The role of digital literacy and knowledge management on process innovation in SMEs","year":2023,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"SMEs Development and Digital Marketing","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Knowledge management; Variables; Likert scale; Process (computing); Structural equation modeling; Scale (ratio); Literacy; Digital literacy; Data management; Computer science; Business; Psychology; Statistics; Mathematics; Data mining","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00215604,0.0001440067,0.0002012143,0.001420307,0.0005347658,0.002651905,0.0002808748,0.0005911016,0.002705467],"category_scores_gemma":[0.01307742,0.0001023859,0.000386293,0.0008657227,0.0008628376,0.001977585,0.001742188,0.0005228886,0.0001806038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071186,"about_ca_system_score_gemma":0.002296305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001464547,"about_ca_topic_score_gemma":0.001657044,"domain_scores_codex":[0.9982279,0.0007696786,0.0001501109,0.0001482823,0.0003688601,0.0003351614],"domain_scores_gemma":[0.9824186,0.01204481,0.002968512,0.0004237368,0.000854004,0.001290405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003435851,0.001744788,0.7030785,0.0008574442,0.0001491943,0.002196848,0.03015019,0.002124635,0.004512764,0.01809863,0.0006878002,0.2360557],"study_design_scores_gemma":[0.00004758848,0.0007764762,0.9313608,0.0008829705,0.0002379565,0.0009867999,0.02985069,0.009285009,0.004232619,0.01332832,0.00894594,0.00006490632],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788964,0.0005457482,0.001186612,0.000636955,0.000006727364,0.00003416852,0.00001940579,0.00001127973,0.01866258],"genre_scores_gemma":[0.9991191,0.0001634178,0.0002591843,0.00002141863,0.000003798589,0.00000869776,0.000006630172,9.190551e-7,0.0004167411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002705467,"threshold_uncertainty_score":0.01140231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895182457472974,"score_gpt":0.3680735869448418,"score_spread":0.339121762370112,"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."}}