Yazarlar (4) |
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![]() Türkiye |
![]() Kastamonu Üniversitesi, Türkiye |
Özet |
PurposeWe surveyed managers and other professionals in 142 US hospitality firms to investigate the links among relative firm size, market strategies (e.g. broad cost leadership and global growth) and nonmarket strategies. It helps explain how business size influences these dynamics within the hospitality industry. Previous research has primarily focused on generic market strategies without adequately considering the nuanced impact of firm size on performance outcomes.Design/methodology/approachThe data are analyzed using PLS-SEM and machine learning (ML) methods, specifically the glmnet algorithm for Lasso regression, to explore the relationships between firm size, market strategies and performance. ML’s ability to manage high-dimensional data and nonlinear relationships provides a nuanced analysis that surpasses traditional statistical methods, enhancing the accuracy and depth of our findings … |
Anahtar Kelimeler |
Makale Türü | Özgün Makale |
Makale Alt Türü | Diğer hakemli uluslarası dergilerde yayınlanan tam makale |
Dergi Adı | International Hospitality Review |
Dergi ISSN | 2516-8142 |
Dergi Tarandığı Indeksler | Australian Business Deans Council (ABDC) |
Makale Dili | İngilizce |
Basım Tarihi | 03-2025 |
Doi Numarası | 10.1108/IHR-04-2024-0022 |
Makale Linki | https://doi.org/10.1108/ihr-04-2024-0022 |