The impact of the Miami Cuban exile's political culture on the 1996 fiscal crisis of the city of Miami

The purpose of this study was to determine if the political culture of the Miami Cuban exile community was a significant factor in creating the environment that led to the 1996 fiscal crisis of the City of Miami. The study performed an ethnographic case study that utilized a triangulation strategy which included both qualitative and quantitative methods. Focus groups were conducted to ascertain qualitative and quantitative data as to differences among ethnic and generational groups regarding notions of governance, public administration practices, and overall political values and core beliefs. Quantitative data was obtained through a five year and seven month review of newspaper articles from two periodicals based in Miami-Dade County. A review was also conducted of secondary data in audit and management reports, blue ribbon commission studies, Certified Public Manager (CPM) enrollment, and legal case decisions to examine the administrative practices of the City of Miami leading up to and subsequent to its fiscal crisis. The study found that a political subculture of caudillismo was present in Cuban exile core areas of Miami that appears to have had an influence on the administrative practices and notions of governance that led to the fiscal crisis. The author concludes that an imported foreign political culture has imposed itself as a subculture in core areas of the exile community and that the operationalization of this subculture has manifested itself in non-mainstream notions of governance and public administration practices. ^

Identifying Training Challenges in Hospitality Industry: An Exploratory Approach

The current study investigated the effects of job satisfaction and organizational commitment on organizational citizenship behavior and turnover intentions. The study also examined the effect of organizational citizenship behavior on turnover intentions. Frontline employees working in five-star hotels in North Cyprus were selected as a sample. The result of multiple regression analyses revealed that job satisfaction is positively related to organizational citizenship behavior and negatively related to turnover intentions. Affective organizational commitment was found to be positively related to organizational citizenship behavior. However, the study found no significant relationship between organizational commitment and turnover intentions. Furthermore, organizational citizenship behavior was negatively associated with turnover intentions. The study provides discussion and avenues for future research.

Importance-Performance Analysis of Guest Entertainment Technology Amenities in the Lodging Industry

An assessment of how hotel guests view in-room entertainment-technology amenities was conducted to compare the importance of these technologies to how they performed. In-room entertainment technology continues to evolve in the hotel industry. However, given the multitude of entertainment products available in the marketplace today, hoteliers have little understanding of guests’ expectations and of which in-room entertainment-technology amenities will drive guest satisfaction and increase loyalty to the hotel brand. Given that technology is integral to a hotel stay, this study seeks to evaluate the importance and performance of in-room entertainment-technology amenities. Findings indicate that free-to-guest television (FTG TV) and high-speed Internet access were the two most important inroom entertainment-technology amenities when it comes to the selection of a hotel for both leisure and business travelers. The Importance/Satisfaction Matrix presented in the current study showed that many of the in-room entertainment-technology amenities are currently a low priority for guests. Keywords: importance-performance analysis, hotel, in-room entertainment technologies

Using the Involvement Construct to Understand the Motivations of Customers of Casual Dining Restaurants in the USA

The purpose of this study was to investigate the motivations that push consumers to dine out and restaurant attributes that pull diners to a specific restaurant. Surveys were administered to a convenience sample of 559 respondents at a large university in the Southwest of the USA. Crosstabs, ANOVA, Correlations, Factor Analysis and Multiple Regression were employed to explore differences and relationships between variables. Findings identified a profile of diners at casual restaurants. Using the involvement construct, the push-pull motivational framework, and the hedonic and utilitarian motivational framework, results of this study indicate two primary reasons behind the decision to dine out at casual restaurants and six principal attributes that draw customers into these types of restaurants. In addition, diners were categorized into high/medium/low involvement categories and the linkages between involvement levels and motivations were explored. Both hedonic and utilitarian motivations were identified. Furthermore, motivational factors and restaurant attributes were found to predict diner loyalty. This paper provides the restaurant industry with insight and understanding as to what attracts diners into an establishment and what influences decisions behind dining out.

A Content Analysis of Sustainability Dimensions in Annual Reports

This study examines the triple bottom line of sustainability, in the context of both profit-oriented and non-profit oriented organizations. Sustainability is a compound result of interaction between economic, environmental, and social dimensions. Sustainability cannot be achieved without balance between all three dimensions, which has implications for measuring sustainability and prioritizing goals. This study demonstrates a method for measuring organizational sustainability achievement in these three dimensions of sustainability. Content analysis of the annual reports of corporations from the United States, Continental Europe (and Scandinavia), and Asia reveals that the economic dimension remains the preeminent aspect, and corporations still have a long way to go to reach comprehensive sustainability by maintaining a balance between the three dimensions of sustainability. The analysis also shows a high level of isomorphism in the sustainability practices of corporations, suggesting that even the most sustainable corporations are taking a somewhat passive role in prioritizing sustainability goals. A list of 25 terms for each dimension of sustainability (economic, environmental, and social) has been developed which can be used by corporations to develop and communicate their sustainability practices most effectively to the maximum number of their stakeholders. In contrast, botanical gardens demonstrate more balance among the three dimensions of sustainability.

GIS-integrated mathematical modeling of social phenomena at macro- and micro- levels—a multivariate geographically-weighted regression model for identifying locations vulnerable to hosting terrorist safe-houses: France as case study

Adaptability and invisibility are hallmarks of modern terrorism, and keeping pace with its dynamic nature presents a serious challenge for societies throughout the world. Innovations in computer science have incorporated applied mathematics to develop a wide array of predictive models to support the variety of approaches to counterterrorism. Predictive models are usually designed to forecast the location of attacks. Although this may protect individual structures or locations, it does not reduce the threat—it merely changes the target. While predictive models dedicated to events or social relationships receive much attention where the mathematical and social science communities intersect, models dedicated to terrorist locations such as safe-houses (rather than their targets or training sites) are rare and possibly nonexistent. At the time of this research, there were no publically available models designed to predict locations where violent extremists are likely to reside. This research uses France as a case study to present a complex systems model that incorporates multiple quantitative, qualitative and geospatial variables that differ in terms of scale, weight, and type. Though many of these variables are recognized by specialists in security studies, there remains controversy with respect to their relative importance, degree of interaction, and interdependence. Additionally, some of the variables proposed in this research are not generally recognized as drivers, yet they warrant examination based on their potential role within a complex system. This research tested multiple regression models and determined that geographically-weighted regression analysis produced the most accurate result to accommodate non-stationary coefficient behavior, demonstrating that geographic variables are critical to understanding and predicting the phenomenon of terrorism. This dissertation presents a flexible prototypical model that can be refined and applied to other regions to inform stakeholders such as policy-makers and law enforcement in their efforts to improve national security and enhance quality-of-life.