The construct of work commitment: Testing an integrative framework

This dissertation meta-analytically examined the expansive material associated with work commitment. Work commitment, a multidimensional construct, encompasses the level of involvement an employee has with his or her work, organization, job, career, and union (Morrow & Goetz, 1998). Each of the dimensions of work commitment has been further divided into a number of subdimensions. The primary purpose of this study was to (1) cumulate the correlations found among each of the dimensions of work commitment to see which, if any, were intercorrelated, and to (2) determine the impact of work commitment dimensions and subdimensions on specific outcome variables (job satisfaction, job performance, and turnover). ^ A number of interesting results stemmed from the 213 separate meta-analyses that were conducted. First, the evidence did not indicate that all of the subdimensions for each respective dimension were positively correlated. Specifically, there was not enough evidence to indicate that continuance organizational commitment was positively correlated with its other organizational commitment subdimensions. Future research might consider revamping the work commitment taxonomy so that all subdimensions that fall within a particular dimension are interrelated. It might be appropriate, therefore, to drop continuance organizational commitment from the work commitment taxonomy. Second, while most of the respective dimensions were interrelated, this was not the case across the board. For instance, there was no evidence of a significant positive relationship between organizational commitment and union commitment. In fact, the only significant relationship was negative between organizational commitment and belief in unionism. Further, there was no evidence of a positive relationship between union commitment and either work ethic endorsement or job involvement, respectively. These findings supported Morrow's (1993) rationale for excluding union commitment from the work commitment taxonomy. ^

A multimedia indexing and retrieval framework for multimedia database systems

The main challenges of multimedia data retrieval lie in the effective mapping between low-level features and high-level concepts, and in the individual users' subjective perceptions of multimedia content. ^ The objectives of this dissertation are to develop an integrated multimedia indexing and retrieval framework with the aim to bridge the gap between semantic concepts and low-level features. To achieve this goal, a set of core techniques have been developed, including image segmentation, content-based image retrieval, object tracking, video indexing, and video event detection. These core techniques are integrated in a systematic way to enable the semantic search for images/videos, and can be tailored to solve the problems in other multimedia related domains. In image retrieval, two new methods of bridging the semantic gap are proposed: (1) for general content-based image retrieval, a stochastic mechanism is utilized to enable the long-term learning of high-level concepts from a set of training data, such as user access frequencies and access patterns of images. (2) In addition to whole-image retrieval, a novel multiple instance learning framework is proposed for object-based image retrieval, by which a user is allowed to more effectively search for images that contain multiple objects of interest. An enhanced image segmentation algorithm is developed to extract the object information from images. This segmentation algorithm is further used in video indexing and retrieval, by which a robust video shot/scene segmentation method is developed based on low-level visual feature comparison, object tracking, and audio analysis. Based on shot boundaries, a novel data mining framework is further proposed to detect events in soccer videos, while fully utilizing the multi-modality features and object information obtained through video shot/scene detection. ^ Another contribution of this dissertation is the potential of the above techniques to be tailored and applied to other multimedia applications. This is demonstrated by their utilization in traffic video surveillance applications. The enhanced image segmentation algorithm, coupled with an adaptive background learning algorithm, improves the performance of vehicle identification. A sophisticated object tracking algorithm is proposed to track individual vehicles, while the spatial and temporal relationships of vehicle objects are modeled by an abstract semantic model. ^

A nested Petri net framework for modeling and analyzing multi-agent systems

In the past two decades, multi-agent systems (MAS) have emerged as a new paradigm for conceptualizing large and complex distributed software systems. A multi-agent system view provides a natural abstraction for both the structure and the behavior of modern-day software systems. Although there were many conceptual frameworks for using multi-agent systems, there was no well established and widely accepted method for modeling multi-agent systems. This dissertation research addressed the representation and analysis of multi-agent systems based on model-oriented formal methods. The objective was to provide a systematic approach for studying MAS at an early stage of system development to ensure the quality of design. ^ Given that there was no well-defined formal model directly supporting agent-oriented modeling, this study was centered on three main topics: (1) adapting a well-known formal model, predicate transition nets (PrT nets), to support MAS modeling; (2) formulating a modeling methodology to ease the construction of formal MAS models; and (3) developing a technique to support machine analysis of formal MAS models using model checking technology. PrT nets were extended to include the notions of dynamic structure, agent communication and coordination to support agent-oriented modeling. An aspect-oriented technique was developed to address the modularity of agent models and compositionality of incremental analysis. A set of translation rules were defined to systematically translate formal MAS models to concrete models that can be verified through the model checker SPIN (Simple Promela Interpreter). ^ This dissertation presents the framework developed for modeling and analyzing MAS, including a well-defined process model based on nested PrT nets, and a comprehensive methodology to guide the construction and analysis of formal MAS models.^

Investing in Hospitality Operations in the People's Republic of China: The Legal Framework

In the late 1970s, the People's Republic of China announced its "Open Door Policy. "After being closed to the outside world for decades, the Western world was not certain what to make of this turnaround. The author looks at a number of questions: Was China sincere in its statements that it wanted foreign investment on its soil? Was it willing to provide the economic and legal framework within which foreign investors could feel secure about placing their investment dollars? What concerns or issues still remain with regard to such investment decisions today?

Self -management factors, influences, and conditions for type 2 diabetes among Black ethnic groups in Miami, Florida and Abidjan, Cote d'Ivoire

The Dahlgren and Whitehead ecological theory provides the framework for a cross-sectional design to compare socio-demographic characteristics, living and working conditions, and lifestyle daily habits as well as cultural and ecological factors among six diabetic multiethnic Black groups in Miami and Abidjan. Approximately 180 Black Americans (African-, Caribbean-, and Haitian-) and 180 Black Africans (Akan, Malinke, and Krou) aged 20 years and older were surveyed. During the preliminary of this study participants' attitudes and behaviors were qualitatively assessed (N=60) and a tool was developed to describe, in the main study (N=360), differences in participants' strength of commitment to diabetes lifestyle self-management. Despite similarities found in terms of age and gender, statistically significant differences were also found within and among groups in terms of living and working conditions, education level, and religion. African American groups were more likely to participate in more diabetes classes than Haitian Americans and Caribbean Americans. However, African Americans were less likely to adhere to daily dietary and weight control regimens. Although, Black African groups reported limited access to equipment, facilities, and financial support they were more likely to follow dietary and weight control recommendations than Black American groups. Overall, African American participants showed the poorest attitudes towards recommended foods, Caribbean American respondents reported the best attitudes and behaviors towards weight control regimens, and the Malinke group had significantly more strength of commitment to successful weight control. Furthermore, Black African groups had significantly more strength of commitment to successful dietary adherence and significantly less support for weight control than Black American groups. ^ Significant differences found within Black groups suggest that understanding each patient's conditions may help healthcare professionals in initiating individualized appropriate counseling before goal setting, and in developing culturally relevant type 2 diabetes management programs. Moreover, significant differences exist in strength of commitment to lifestyle adherence among Black groups in Miami and Abidjan. Cultural, socio-demographic factors and self-management habits may explain differences in participants' outcomes. At the policy level, Black groups should not be approached as a homogenous group and assessment of the vulnerability of each ethnic group may be necessary in the decision-making process.^

Best Practices: Lessons Learned by a South Florida Non-Profit Community Based Organization while Designing and Implementing a Career Exploration Evidence Informed Framework in Urban Communities

All A’s was designed to support of the agency’s family strengthening initiatives in South Florida. All A’s uses evidence informed strategies poised to be an inclusive curriculum that teaches self-determination and adaptive behavior skills. The framework incorporates problem based learning and adult learning theory and follows the Universal Design for Learning. Since 2012, the agency has served over 8500 youth and 4,000 adults using the framework. The framework addresses educational underachievement and career readiness in at risk populations. It is used to enhance participants AWARENESS of setting SMART goals to achieve future goals and career aspirations. Participants are provided with ACCESS to resources and opportunities for creating and implementing an ACTION plan as they pursue and ACHIEVE their goals. All A’s promotes protective factors and expose youth to career pathways in Science, Technology, Engineering and Math (STEM) related fields. Youth participate in college tours, job site visits, job shadowing, high school visits, online college and career preparation assistance, service learning projects, STEM projects, and the Winning Futures© mentoring program. Adults are assisted with résumé development; learn job search strategies, interview techniques, job shadowing experiences, computer and financial literacy programs. Adults and youth are also given the opportunity to complete industry-recognized certifications in high demand industries (food service, general labor, and construction), and test preparation for the General Educational Development Test.