{"id":"W2075731536","doi":"10.1177/1096348005274775","title":"The How and Who of Strategy Making: Models and Appropriateness for Firms in Hospitality and Tourism Industries","year":2005,"lang":"en","type":"article","venue":"Journal of Hospitality & Tourism Research","topic":"Franchising Strategies and Performance","field":"Business, Management and Accounting","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Dynamism; Hospitality industry; Hospitality; Salient; Marketing; Adaptability; Process (computing); Typology; Tourism; Business; Service (business); Flexibility (engineering); Affect (linguistics); Ideal (ethics); Knowledge management; Industrial organization; Process management; Economics; Computer science; Management; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003876143,0.0001682478,0.0003785715,0.0002331542,0.0003775825,0.0008643559,0.0002858058,0.0001476024,0.000002933504],"category_scores_gemma":[0.0002281359,0.0001147316,0.00005481425,0.0003342447,0.0004961324,0.00193283,0.0001969028,0.000580427,1.436086e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003225514,"about_ca_system_score_gemma":0.00008919893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003741295,"about_ca_topic_score_gemma":0.0001192028,"domain_scores_codex":[0.9982403,0.00005314742,0.0005137413,0.0002183937,0.0005403728,0.000434075],"domain_scores_gemma":[0.9985189,0.0002389479,0.0003948161,0.00019302,0.0006202813,0.00003396118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002165953,0.0007839127,0.3008496,0.004015306,0.0003874008,0.000113152,0.002766745,0.002867619,0.0003038984,0.101964,0.02385437,0.5599281],"study_design_scores_gemma":[0.00469995,0.0009880752,0.7127611,0.001012052,0.00008902039,0.00003872223,0.01930303,0.04740005,0.0002958831,0.1983841,0.01429334,0.0007346737],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855085,0.004077441,0.0001031676,0.009274674,0.0000943846,0.0003577331,0.00000455096,0.000005476349,0.000574083],"genre_scores_gemma":[0.9976333,0.001151297,0.0001434744,0.00004539436,0.000852277,0.00001000963,9.026058e-7,0.00001612026,0.0001472045],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5591934,"threshold_uncertainty_score":0.8335004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07620008731580097,"score_gpt":0.3277837979435705,"score_spread":0.2515837106277696,"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."}}