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This study focuses firstly on the importance for forecasting accuracy of allowing for intervention events in the modeling process. Seasonal autoregressive integrated moving average (SARIMA) models are therefore estimated both with and without intervention effects (the September 11, 2001 events) using data for the period 1990–2001. These models are used to generate forecasts for 2002 and the first part of 2003, and forecast accuracy is assessed using mean absolute percentage error and root mean square percentage error. The second focus of the study is to examine the impacts on tourism demand of the major crises that occurred during the period 2001–2003. The chosen US metropolitan destination is New York City, which was severely affected by the September 11 events, and within New York the US Metropolitan Museum of Art is selected, as this is a very well-known and visited destination for which seasonal data are available over the period 1990–2003. The artificial neural networks (ANNs) and SARIMA forecasts are compared with forecasts generated by the much simpler automatic Holt-Winter's seasonal double exponential smoothing model as well as two naïve forecasting models to ensure that minimum performance standards are being met.

There are more than 40 million Americans with disabilities. If U.S. hospitality and leisure professionals are keen to attract customers with disabilities, then the particular services in line with the needs of those individuals have to be addressed, given the lack of clear actions toward the service delivery to individuals with disabilities. This study attempts to discover the issues pertaining to the perceptions of the services and facilities offered to visitors with disabilities. A total of three thousand questionnaires are distributed to visitors with disabilities. Cross-tabulations, chi-square, and ANOVA are deployed to determine the differences among visitors with different disabilities. Promotion strategies, suggestions regarding accessibility issues, and the benefits associated with a visit to various destinations are also presented.

This study is a radical interactionist analysis of family conflict. Drawing on both a negotiated order perspective and Athen's theory of complex dominative encounters, this study analyzes the role that domination plays in conflicts among intimates. As the family engages in repeated conflicts over roles, the family also engages in negotiations over the family order, what role each party should play, interpretations of past events, and plans for the future. These conflicts take place against a backdrop of patriarchy that asymmetrically distributes power in the family to determine the family order. The data from this study come from a content analysis of mothers with substance use problems as depicted in the reality television show Intervention. The conflicts in these families reveal that these families develop a grinding family order in which families engaged in repeated conflict but also continued to operate as and identify as a family. These conflicts are shaped by and reinforce patriarchal expectations that mothers are central to family operation. The intervention at the end of each episode offered an opportunity for the family to engage in a concerted campaign to try to force the mother into treatment and reestablish the family order.

This paper synthesizes existing experimental research in the area of investor perceptions and offers directions for future research. Investor-related experimental research has grown substantially, especially in the last decade, as it has made valuable contributions in establishing causal links, examining underlying process measures, and examining areas with little available data. Within this review, I examine 121 papers and identify three broad categories that affect investor perceptions: information format, investor features, and disclosure credibility. Information format describes how investors are influenced by information salience, information labeling, reporting and accounting complexity, financial statement recognition, explanatory disclosures, and proposed disclosure changes. Investor features describes investors’ use of heuristics, investor preferences, and the effect of investor experience. Disclosure credibility is influenced by external and internal assurance, management credibility, disclosure characteristics, and management incentives. Using this framework, I summarize the existing research and identify areas that would benefit from additional research.

Given the unique nature of business events tourism, this paper evaluates the forecasting performance of various models using search query data (SQD) to forecast convention attendance.

This research uses monthly and quarterly business event attendance data from both the U.S. (Las Vegas) and China (Macau) markets. Using SQD as the input, we evaluated and compared the cutting-edge forecasting models including Prophet and Long Short-Term Memory (LSTM).

The study reveals that Prophet outperforms complex neural network models in forecasting business event tourism demand. Keywords related to convention facilities, conventions or exhibitions, and transportation are proven to be useful in forecasting business travel demand.

Prophet is an accessible forecasting model for event-tourism practitioners, especially useful in the volatile business event tourism sector. Using verified search keywords in models helps understand traveler motivations and aids event planning.

Our study is among the first to empirically evaluate the performance of forecasting models for business travel demand. In comparison with other mainstream forecasting models, our study extends the scope to examine both the U.S. and Chinese markets.

Stress and the military go hand-in-hand, particularly in combat environments. While some personality traits or types weaken relationships between stress and performance, others, such as psychopathy, may strengthen them. In the present chapter, we consider the ramifications of individuals with high levels of psychopathy or psychopathic tendencies in the military with regard to both their own stress and performance and that of those around them. We discuss different reactions to psychological and physical stress, as well as the implications of psychopathic tendencies as they relate to current military issues, including gender, leadership, teamwork, turnover, post-traumatic stress disorder, and suicide. By juxtaposing relevant research findings on stress and psychopathy, we conclude that psychopathic tendencies should have neither uniformly negative nor positive effects on stress and performance in the military. Rather, effects on such individuals and the peripheral others with whom they interact will likely vary greatly depending on numerous factors.