Service Delivery at Sport Fishing Tourist Destinations

This study examines the difference between sport tourists individuals\u27 perceptions of the services that should be offered to the services that were actually offered, using a sport fishing destination as a case study. The Servqual scale, a means in which to evaluate consumers\u27 expectations and cross-reference them with their perceptions of that service, was utilized. A total of 31 surveys was returned out of the 60 sent. From the statistical analysis, overall customers\u27 expectations of the services offered were similar to what was received, however when individual variables were examined some discrepancies were found. Future research for sport tourist destinations should be done on an individual bases, examining all components of service delivery in order to further understand the needs of sport tourists

GPU LSM: A Dynamic Dictionary Data Structure for the GPU

We develop a dynamic dictionary data structure for the GPU, supporting fast insertions and deletions, based on the Log Structured Merge tree (LSM). Our implementation on an NVIDIA K40c GPU has an average update (insertion or deletion) rate of 225 M elements/s, 13.5x faster than merging items into a sorted array. The GPU LSM supports the retrieval operations of lookup, count, and range query operations with an average rate of 75 M, 32 M and 23 M queries/s respectively. The trade-off for the dynamic updates is that the sorted array is almost twice as fast on retrievals. We believe that our GPU LSM is the first dynamic general-purpose dictionary data structure for the GPU.Comment: 11 pages, accepted to appear on the Proceedings of IEEE International Parallel and Distributed Processing Symposium (IPDPS'18

School Finance Formula in New Mexico

New Mexico\u27s formula for financing public school operations is widely regarded as one of the nation\u27s most equitable

Exploring the relationship between aboriginal tourism and community development

Aboriginal communities are increasingly turning toward aboriginal tourism develop- ment to diversify their economic base, validate their claims related to proprietary rights over traditional lands and re-connect youth with elders and the community to their land and their culture. Oftentimes, these development initiatives are tied to broader commu- nity development goals, yet the success of the tourism project is generally measured by its market readiness, revenue generation and job creation. The purpose of this article is to provide insight into the breadth of aboriginal community development benefits from tourism development through a review of literature of selected international case studies on aboriginal tourism development. Framing our approach is Bell’s typology of aboriginal community development that is conceptualized as consisting of five dimen- sions that include community empowerment, community wellness, community economic development, community learning and community stewardship [Bell, M. (1999). The changing face of community development in the north: From the power paradigm to the spirit paradigm. Yellowknife, NWT: Inukshuk Management Consultants]. The analy- sis provided insight into how aboriginal tourism initiatives benefit broader community development dimensions beyond the economic and that to develop tourism that extends its benefits to the community, issues that relate to community empowerment, wellness and healing and stewardship should be addressed

Improved Distortion and Spam Resistance for PageRank

For a directed graph $G = (V,E)$, a ranking function, such as PageRank, provides a way of mapping elements of $V$ to non-negative real numbers so that nodes can be ordered. Brin and Page argued that the stationary distribution, $R(G)$, of a random walk on $G$ is an effective ranking function for queries on an idealized web graph. However, $R(G)$ is not defined for all $G$, and in particular, it is not defined for the real web graph. Thus, they introduced PageRank to approximate $R(G)$ for graphs $G$ with ergodic random walks while being defined on all graphs. PageRank is defined as a random walk on a graph, where with probability $(1-\epsilon)$, a random out-edge is traversed, and with \emph{reset probability} $\epsilon$ the random walk instead restarts at a node selected using a \emph{reset vector} $\hat{r}$. Originally, $\hat{r}$ was taken to be uniform on the nodes, and we call this version UPR. In this paper, we introduce graph-theoretic notions of quality for ranking functions, specifically \emph{distortion} and \emph{spam resistance}. We show that UPR has high distortion and low spam resistance and we show how to select an $\hat{r}$ that yields low distortion and high spam resistance.Comment: 36 page

Factors that Influence Recruitment and Retention

The project is to test and research the main factors that influence recruitment and retention with a focus on the company Sherwin-Williams. Specifically, this paper explores peer-reviewed articles that report on recruitment and retention findings from experts and everyday practitioners within human resources management and the retail industry. Major influences on turnover highlighted in this report include methods of pursuing talent, brand awareness and its effects on recruiting millennials and generation Z, compensation and benefits and their ability to attract and retain talent, and the integral component of job satisfaction and its role in employee and management retention. In addition, information regarding Sherwin-Williams has also been researched, including a deeper look into the firm\u27s strengths, weaknesses, opportunities, and threats to provide useful information on how the position of the firm also influences its ability to acquire and retain talent