This review of the literature presents in-depth research pertaining to simulation modeling in the hospitality industry. The authors' intent is to expand the readers' knowledge about simulation modeling and to provide a more complete discussion of what is known about simulation theory in the hospitality literature. Furthermore, information is provided to assist decision makers, training professionals, and hospitality educators with theoretical and methodological suggestions specific to evaluating simulation's effectiveness and to provide a framework for understanding the enormous contributions to the simulation literature that have been made during the past four decades. A chart of simulation, indicating definitions and applications, is provided. Two comprehensive tables describing and categorizing articles in this area are also provided. The research shows substantial use of simulation modeling in both hospitality operations and education. It further shows some major methodological shortcomings.Following the advice of two prolific authors on simulation-Wolfe and Crookall (1998)-who said that "individuals who know their own literature very well, must also learn and build on the literature of the simulation/gaming field if they are to push the [simulation] field forward" (p. 10), this review presents indepth research pertaining to simulation modeling in the hospitality industry.The specific purpose of this article is to expand the readers' knowledge about simulation modeling definitions and applications and to provide a more complete discussion of what is known about simulation theory in the hospitality literature. A second goal is to assist decision makers, training professionals, and hospitality educators with theoretical and methodological suggestions specific to evaluating simulation's effectiveness. Finally, a third important goal is to provide a frame-
Many lodging operators in the USA might intuitively, or through long experience, be aware of the more important socio‐demographic market segments of their business. This research quantifies the significance and the contribution of such market segments to aggregate lodging demand in the USA. Finds that age distribution, income distribution, occupation and gender are the most significant socio‐demographic factors that have an effect on lodging demand. The aggregate lodging demand contribution of specific market segments obtained by combining the above factors pairwise, i.e. age and income, age and occupation, etc. is also discussed in the study.
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