{"id":"W1989868569","doi":"10.4018/jisscm.2010040102","title":"Moderated Multiple Regression of Absorptive Capacity Attributes and Deployment Outcomes","year":2010,"lang":"en","type":"article","venue":"International Journal of Information Systems and Supply Chain Management","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Software deployment; Supply chain; Business; Absorptive capacity; Process (computing); Modularity (biology); Business process; Identification (biology); Process management; Supply chain management; Survey data collection; Knowledge management; Industrial organization; Marketing; Computer science; Work in process","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":[0.02394724,0.000865583,0.0006614143,0.002463183,0.0009308929,0.001855311,0.001193005,0.0008299312,0.005526247],"category_scores_gemma":[0.1074907,0.0004231762,0.001545548,0.002472093,0.001305687,0.002023542,0.002181337,0.002704642,0.0009782396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008937764,"about_ca_system_score_gemma":0.001562883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005169815,"about_ca_topic_score_gemma":0.003796848,"domain_scores_codex":[0.9844027,0.009547227,0.0007550199,0.002069294,0.002552259,0.0006735477],"domain_scores_gemma":[0.785246,0.1743947,0.01545248,0.01452214,0.007503977,0.002880873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004119744,0.0004459474,0.9748487,0.00005929164,0.0008922193,0.0001406131,0.00117843,0.003057148,0.0004837621,0.00195217,0.0004687429,0.01606107],"study_design_scores_gemma":[0.00007007578,0.0008340214,0.9648968,0.0000968372,0.0003975195,0.0003985803,0.001264056,0.02204071,0.001836935,0.005996564,0.002110188,0.00005778499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807953,0.0002180493,0.01121405,0.0002526381,0.00004777179,0.0002038647,0.0004634897,0.0001156238,0.006689233],"genre_scores_gemma":[0.9954115,0.00006201893,0.002818136,0.000057955,0.00002308287,0.0002689421,0.0003732823,0.00003055284,0.0009544714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02394724,"threshold_uncertainty_score":0.1266466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0124396737627753,"score_gpt":0.2224545782542219,"score_spread":0.2100149044914466,"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."}}