{"id":"W4415265742","doi":"10.1108/jkm-03-2025-0280","title":"Examining the interdependent role of digitalization and external search breadth in driving service innovation in SMEs","year":2025,"lang":"en","type":"article","venue":"Journal of Knowledge Management","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Service innovation; Generalizability theory; Service (business); Interdependence; Survey data collection; Innovation management; Dual (grammatical number); Limiting","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":[0.003848223,0.00006662658,0.0001656663,0.001738812,0.00003375822,0.00009015629,0.0004691426,0.00003794403,0.00001322828],"category_scores_gemma":[0.0002052917,0.00004539384,0.00002087903,0.001978206,0.00003653133,0.0002553946,0.000388304,0.0001876818,0.000003410459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006997515,"about_ca_system_score_gemma":0.00002524128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007466003,"about_ca_topic_score_gemma":0.0002515072,"domain_scores_codex":[0.9983534,0.0001637267,0.000906122,0.0001290241,0.0003495068,0.00009818343],"domain_scores_gemma":[0.9990028,0.0001607431,0.0003144725,0.0001687833,0.0003400635,0.00001312849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001776157,0.000106296,0.7320257,0.00001432562,0.00001120748,0.000008891006,0.001818308,0.0002057873,0.0003507523,0.007956483,0.00006921389,0.2574152],"study_design_scores_gemma":[0.000518898,0.00003054281,0.9751326,0.0003320634,0.000008271189,0.000006722064,0.01342873,0.00199658,0.0002589634,0.007586997,0.0006613698,0.00003830063],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822099,0.0003101138,0.009503622,0.0005401307,0.0001428926,0.0001073529,3.045953e-7,0.000004673828,0.007181055],"genre_scores_gemma":[0.9991342,0.0000368241,0.0003226627,0.00005546967,0.00001059437,0.000002099867,2.484337e-7,0.000003058197,0.0004348373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2573769,"threshold_uncertainty_score":0.1851107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07160244969716438,"score_gpt":0.3775982463895093,"score_spread":0.3059957966923449,"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."}}