{"id":"W4281736127","doi":"10.4018/978-1-6684-4168-8.ch008","title":"Modelling Socio-Digital Customer Relationship Management in the Hospitality Sector During the Pandemic Time","year":2022,"lang":"en","type":"book-chapter","venue":"Advances in marketing, customer relationship management, and e-services book series","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Crandall University","funders":"","keywords":"Customer engagement; Business; Customer retention; Social media; Loyalty business model; Word of mouth; Customer relationship management; Marketing; Customer intelligence; Customer advocacy; Set (abstract data type); Customer delight; Customer to customer; Advertising; Psychology; Computer science; Service quality; Service (business)","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":[0.0006944037,0.0004692043,0.0004368771,0.0005547059,0.0008017069,0.003571968,0.001510671,0.002358323,0.009608526],"category_scores_gemma":[0.002201685,0.0004131932,0.0006685344,0.001302476,0.0006896941,0.002086395,0.00155743,0.001518194,0.0008240407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002893491,"about_ca_system_score_gemma":0.00249146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0434957,"about_ca_topic_score_gemma":0.04194865,"domain_scores_codex":[0.9994948,0.0002640595,0.00001374332,0.00007080445,0.00004875688,0.0001078965],"domain_scores_gemma":[0.9988237,0.0008800316,0.0001128123,0.00002163806,0.00006748446,0.00009432856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001006001,0.0004435377,0.0244127,0.000181268,0.00007651265,0.000848136,0.003322074,0.7433493,0.000939099,0.1997687,0.007111932,0.01944607],"study_design_scores_gemma":[0.00002031689,0.00007808771,0.005086103,0.00007079979,0.0000223744,0.00008534515,0.002612451,0.9555663,0.0001253472,0.0277767,0.008525665,0.00003053264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6902038,0.002594861,0.1167257,0.007965088,0.0002836227,0.0004667351,0.002289471,0.0002086301,0.179262],"genre_scores_gemma":[0.9514856,0.001443469,0.01824293,0.0002746956,0.00007607463,0.0004848294,0.0007764497,0.00005339268,0.02716254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0434957,"threshold_uncertainty_score":0.08648509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01643656767475452,"score_gpt":0.2570987382184659,"score_spread":0.2406621705437114,"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."}}