We study the provision of information to tourists in a probabilistic setting. Specifically, we provide answers to three hitherto unstudied questions in the tourism literature. We first delineate a continuous-time Markov chain (CTMC) model of a tourist information center (TIC) and then we compute...

We first delineate a general model that accounts for the common features of sightseeing trips to city attractions and to locations such as lakes and parks. Next, we use the theory of discrete-time Markov chains (DTMCs) to formalize this general model and then we compute the one-step transition...

We first delineate a general model that accounts for the common features of sightseeing trips to city attractions and to locations such as lakes and parks. Next, we use the theory of discrete-time Markov chains (DTMCs) to formalize this general model and then we compute the one-step transition...

We first construct a theoretical model of tax evasion in a stylized developing country in which all taxpayers have either high or low income. The key problem is that the high income taxpayers may underreport their income. An individual income tax return can only be verified with an audit that...

For a firm that provides transport to tourists/visitors and operates in a probabilistic environment, the twin issues of visitor classification and vehicle breakdowns have received scant attention in the extant literature. Therefore, we conduct a stochastic analysis of these two issues in this...