Perceived Service Quality\u27s Impact On Behavioral Intentions In The Timeshare Industry

This study created a model using factor analysis and structural equation modeling to investigate the relationship of service quality, word-of-mouth recommendation and price sensitivity of individuals who experienced a timeshare mini vacation at a branded timeshare resort. The constructs of service quality were developed by creating a survey tool. A total of 4,797 surveys were electronically sent resulting in a total of 1,275 of the individuals surveyed who met the criteria of staying at a branded hotel or resort during their mini vacation. Six different variables were created from the ordinal level questions on the survey: Resort Accommodations, Sales Gallery, Sales Presentation, Resort Activities, Resort Staff and Brand Value. These were then used in an exploratory factor analysis to identify latent factors after which structural equation modeling was used to define the relationship between the factors and the independent variables. A total of 44 models were explored and evaluated based on goodnessof-fit metrics. The model that had the best level of fit was a first-order two-factor model. This model was created with an 80% subset and confirmed with a 20% subset of the sample. The factors found represent the Vacation Experience Promise (VEP) and the Vacation Experience Delivery (VED). There was a positive correlation for both VEP and VED with word-of-mouth recommendation and price sensitivity. The research also posited 24 hypotheses of the relationship between the service quality constructs, word-of-mouth recommendation and price sensitivity with the demographic characteristics of guest type, gender, stay type, age, marital status, gross income, timeshare ownership and the number of presentations attended. There was not enough information to support a relationship between the service quality constructs, word-ofmouth recommendation and price sensitivity with regards to gender, gross income and marital iv status. There was a difference in the scores for the service quality constructs and the varying categories within the age, stay type, and timeshare ownership demographic variables. There was a difference only in the VED scores and the varying categories within the guest type and presentations attended demographic variables. There was also a difference in the scores for the word-of-mouth recommendation construct and the varying categories within the age, guest type, timeshare ownership and number of presentations attended demographic variables. Lastly, there was also a difference in the scores for the price sensitivity construct and the varying categories within the guest type, timeshare ownership and presentation attended demographic variables. The research discusses the business implications associated with these findings and proposes next steps for future research

2007-2008 Lynn University Academic Catalog

https://spiral.lynn.edu/accatalogs/1028/thumbnail.jp

2009-2010 Lynn University Academic Catalog

https://spiral.lynn.edu/accatalogs/1030/thumbnail.jp

Scheduling for today’s computer systems: bridging theory and practice

Scheduling is a fundamental technique for improving performance in computer systems. From web servers to routers to operating systems, how the bottleneck device is scheduled has an enormous impact on the performance of the system as a whole. Given the immense literature studying scheduling, it is easy to think that we already understand enough about scheduling. But, modern computer system designs have highlighted a number of disconnects between traditional analytic results and the needs of system designers. In particular, the idealized policies, metrics, and models used by analytic researchers do not match the policies, metrics, and scenarios that appear in real systems. The goal of this thesis is to take a step towards modernizing the theory of scheduling in order to provide results that apply to today’s computer systems, and thus ease the burden on system designers. To accomplish this goal, we provide new results that help to bridge each of the disconnects mentioned above. We will move beyond the study of idealized policies by introducing a new analytic framework where the focus is on scheduling heuristics and techniques rather than individual policies. By moving beyond the study of individual policies, our results apply to the complex hybrid policies that are often used in practice. For example, our results enable designers to understand how the policies that favor small job sizes are affected by the fact that real systems only have estimates of job sizes. In addition, we move beyond the study of mean response time and provide results characterizing the distribution of response time and the fairness of scheduling policies. These results allow us to understand how scheduling affects QoS guarantees and whether favoring small job sizes results in large job sizes being treated unfairly. Finally, we move beyond the simplified models traditionally used in scheduling research and provide results characterizing the effectiveness of scheduling in multiserver systems and when users are interactive. These results allow us to answer questions about the how to design multiserver systems and how to choose a workload generator when evaluating new scheduling designs

Mitigating the Impact of Physical Layer Capture and ACK Interference in Wireless 802.11 Networks

Ph.DDOCTOR OF PHILOSOPH

Town of Hanover, New Hampshire annual report for the fiscal year ending June 30, 2011 & 2012 town meeting.

This is an annual report containing vital statistics for a town/city in the state of New Hampshire