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The purpose of this paper is to identify the dimensions of service quality and examining the interrelationships among behavioral intentions, customer satisfaction, perceived value, corporate image and service quality in the gaming industry. A multi-level and hierarchical model is used as a framework to synthesize the effects of customer satisfaction, perceived value, corporate image and service quality on behavioral intentions of customers in the gaming industry.

The data used in this study were based on a sample of 470 at a newly built casino in Macau. Data were analyzed using exploratory factor analysis and regression analysis.

The findings support using a multi-level model consisting of three primary dimensions and ten sub-dimensions to conceptualize and measure perceived service quality. Perceived service quality significantly influences perceived value and corporate image, respectively. In addition, perceived value and corporate image are main determinants of customer satisfaction. Also, customer satisfaction and corporate image significantly affect behavioral intentions.

This is the first study synthesizing behavioral intentions, customer satisfaction, perceived value, corporate image and perceived service quality in a Macau casino setting.

The purpose of this paper is twofold: first, to examine the roles of five drivers of service quality (tangibles, reliability, responsiveness, assurance, and empathy) and perceived winning in the gaming behavior of table game players; and second, to test the moderating effects of table game players' demographic and situational factors (gender, education level, parenting status, and proximity to a casino).

A review of the current literature in the above‐mentioned areas revealed 13 theoretical hypotheses, from which the authors derived a structural model. The model was tested utilizing data collected from 383 US casino patrons that primarily played table games during visits to casinos. Confirmatory factor analysis and structural equation modeling were utilized to test the proposed theoretical relationships.

The results indicate that various dimensions of perceived service quality (including tangibles, responsiveness, assurance, and empathy) in casinos, as well as casino patrons' perceived winning have considerable influence on their satisfaction. Brand affect and game spending were found to be influenced by the patron satisfaction with table games. The relationship between perceived empathy and table game satisfaction was stronger for females than for males; the relationship between perceived winning and table game satisfaction was stronger for those with lower levels of formal education; and the relationship between table game satisfaction and game spending was stronger for table game players without children and for those residing near a casino.

This study provides an empirical analysis of the effects of perceived service quality at table games and perceived winning on table game players' satisfaction, brand affect, and game spending. The results of this study may be utilized to aid casino operators to better tailor their marketing efforts and improve returns on investments.

It is unclear whether information obtained from a one parent can be used to infer the other parent's history of psychopathology. Two hundred and one parental dyads were asked to complete psychiatric interviews. Based on maternal report, non-participating husbands/ fathers had higher rates than participating fathers of psychiatric illness. For fathers who did participate, maternal report did not match direct interview of paternal psychopathology with sensitivities less than 0.40 and positive predictive values of 0.33 to 0.74. Psychopa -thology may be over-represented among fathers who do not participate in research. Mother report of paternal symptoms is not an effective proxy. Alternative methods need to be developed to: i) improve father participation or ii) identify psychiatric status in fathers who do not participate in research projects.

The purpose of the present chapter is to provide an overview of issues facing families of children and youths with emotional and behavioral disorders (EBD). We argue that although much is written about families of individuals with disabilities, comparatively little is known about families with children in this category. We suggest that the diversity of family contribution to the individual's EBD makes studying families of this population as a unitary group quite difficult. Despite the difficulty in adequately capturing families of individuals with EBD as a single unit, we describe what is known about (a) parental satisfaction with services for children with EBD, (b) issues affecting parental and family involvement in special education programming and decision-making, (c) the impact of a child with EBD upon siblings, and (d) interventions for EBD that involve families. We conclude by pointing to areas of need for additional research and noting that while educators are in a unique position to assist families of children with EBD, they are restrained by lack of adequate training, competing policy agenda, and constraints on the resources necessary to add this responsibility to the role of classroom teachers.

Casinos offer a variety of dining experiences to appeal to the tastes of different customers. The aim of this paper is to investigate the indirect impact of dining by restaurant type on gaming by worth segment.

Data from two hotel‐casinos were analyzed using time series regression analysis. Variables representing restaurant covers at steakhouse, buffet and casual dining venues were used to predict slot coin‐in for five customer worth segments.

Steakhouse dining was a significant predictor of slot coin‐in for high worth players, buffet and casual dining were related to low‐worth gaming volume, whereas medium‐worth players were impacted by a range of dining options.

Regression analysis does not imply causality, and the results may not hold for other casino properties or sample time periods.

The findings have implications for the optimal restaurant mix at casinos and the types of offers that are given to different customer worth segments. This study also helps casino operators evaluate the profitability of each type of restaurant they operate.

The research fills a gap in the casino literature by segmenting customers using the same metric as casino operators, namely gaming worth. It provides new insight into indirect dining‐gaming relationships by investigating different restaurant types.

Systemic risk has been one of the most interesting issues in banking and financial literature during the last years, particularly in evaluating its effects on the stability of the whole financial system during crises. Differently from other studies which analyze systemic risk focusing on European countries, we explore the determinant of systemic risk in other regional or continental banking systems, as Latin America. Using the CoVaR approach proposed by Adrian and Brunnermeier (2016), we study the impact of corporate variables on systemic risk on a sample of 30 Latin American banks belonging to seven countries, continuously listed from 2002Q1 to 2015Q4. We investigate the contribution of the corporate variables over different economic periods: the Subprime crisis (2007Q3–2008Q3), the European Great Financial Depression (2008Q4–2010Q2), and the Sovereign debt crisis (2010Q3–2012Q3).

With the exponential growth of the amount of data, the most sophisticated systems of traditional libraries are not able to fulfill the demands of modern business and user needs. The purpose of this paper is to present the possibility of creating a Big Data smart library as an integral and enhanced part of the educational system that will improve user service and increase motivation in the continuous learning process through content-aware recommendations.

This paper presents an approach to the design of a Big Data system for collecting, analyzing, processing and visualizing data from different sources to a smart library specifically suitable for application in educational institutions.

As an integrated recommender system of the educational institution, the practical application of Big Data smart library meets the user needs and assists in finding personalized content from several sources, resulting in economic benefits for the institution and user long-term satisfaction.

The need for continuous education alters business processes in libraries with requirements to adopt new technologies, business demands, and interactions with users. To be able to engage in a new era of business in the Big Data environment, librarians need to modernize their infrastructure for data collection, data analysis, and data visualization.

A unique value of this paper is its perspective of the implementation of a Big Data solution for smart libraries as a part of a continuous learning process, with the aim to improve the results of library operations by integrating traditional systems with Big Data technology. The paper presents a Big Data smart library system that has the potential to create new values and data-driven decisions by incorporating multiple sources of differential data.

This chapter proposes a vector autoregressive VAR model with structural shocks (SVAR) that are identified using sign restrictions, and whose distribution is subject to time varying skewness. The authors also present an efficient Bayesian algorithm to estimate the model. The model allows tracking joint asymmetric risks to macroeconomic variables included in the SVAR, and provides a structural narrative to the evolution of those risks. When faced with euro area data, our estimation suggests that there has been a significant variation in the skewness of demand, supply and monetary policy shocks. Such variation can explain a significant proportion of the joint dynamics of real GDP growth and inflation, and also generates important asymmetric tail risks in those macroeconomic variables. Finally, compared to the literature on growth- and inflation-at-risk, the authors find that financial stress indicators are not enough to explain all the macroeconomic tail risks.

This chapter investigates the presence of a difference in the systemic risk level between Islamic and conventional banks in Bangladesh. The authors compare systemic resilience of three types of banks: fully fledged Islamic banks, purely conventional banks (CB), and CB with Islamic windows. The authors use the market-based systemic risk measures of marginal expected shortfall and systemic risk to identify which type is more vulnerable to a systemic event. The authors also use ΔCoVaR to identify which type contributes more to a systemic event. Using a sample of observations on 27 publicly traded banks operating over the 2005–2014 period, the authors find that CB is the least resilient sector to a systemic event, and is the one that has the highest contribution to systemic risk during crisis times.