{"id":"W4293212658","doi":"10.5267/j.ijdns.2022.4.021","title":"The effect of digital marketing on value creation and customer satisfaction","year":2022,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Customer satisfaction; Marketing; Customer value; Sample (material); Marketing research; Value (mathematics); Digital marketing; Knowledge management; Business; Computer science; Economics","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":[0.002091284,0.0002790696,0.000215821,0.00118507,0.0004302408,0.002396468,0.0002373778,0.0005321195,0.007341433],"category_scores_gemma":[0.008064478,0.0001242906,0.0005408693,0.001096314,0.0007608599,0.001396195,0.0009754103,0.0007320676,0.0004542516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00103244,"about_ca_system_score_gemma":0.001298454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009919372,"about_ca_topic_score_gemma":0.001103091,"domain_scores_codex":[0.9981956,0.0009569137,0.00008680762,0.0001200453,0.0004196444,0.0002208776],"domain_scores_gemma":[0.9819114,0.01260598,0.002362922,0.0003373606,0.001467552,0.001314736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001032249,0.002783404,0.7520714,0.0008135564,0.0004669979,0.0005710715,0.003706062,0.001778271,0.004171266,0.01233255,0.001664864,0.2186084],"study_design_scores_gemma":[0.00004549497,0.00135956,0.9745114,0.0002409929,0.0002813865,0.0003810035,0.00586528,0.003582436,0.00339949,0.003766793,0.00653282,0.00003330223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647039,0.001150498,0.0006833742,0.000749471,0.00002518205,0.00005398785,0.00007622531,0.00001661214,0.03254081],"genre_scores_gemma":[0.9982452,0.0003049885,0.000321771,0.00006675995,0.00001864308,0.0000141571,0.00002297823,0.000002319186,0.001003141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007341433,"threshold_uncertainty_score":0.02455956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009112247676766176,"score_gpt":0.266721746972917,"score_spread":0.2576094992961508,"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."}}