Managing Seasonality in Tourism : Challenges and Opportunities for the Tourism Industry in Húsavík, Iceland

Seasonality is a common phenomenon in the tourism industry around the world. Húsavík, a town on the northern coast of Iceland, has experienced tremendous growth in tourism in recent years and is sometimes recognised as the „Whale Watching Capital of Europe‟. However, Húsavík faces extreme seasonality with high demand mainly during the summer months and limited or no demand at other times of the year. As is emphasised in the tourism literature and widely in practice, seasonality is frequently seen as a problem for the tourism industry which has to be tackled. Academic research has never before been done on seasonality in Húsavík and the aim of this thesis is to understand the nature of seasonality within the tourism industry in Húsavík and discover potential ways to reduce seasonality in Húsavík tourism. In order to fulfil the aim, qualitative semi-structured interviews were undertaken with six tourism managers in Húsavík to investigate their perceptions of seasonality and if and how it could be managed. The results confirmed that the peripheral location of the destination stimulates seasonality and it poses major economic challenges for tourism businesses in Húsavík. Managers would prefer a longer tourism season. Several recommendations were provided for how to reduce seasonality such as develop other attractions than whale watching, improve accessibility, focus marketing on seasons outside the summer, and offer winter packages for foreign and domestic tourists.

Novel Statistical Methods in Quantitative Genetics : Modeling Genetic Variance for Quantitative Trait Loci Mapping and Genomic Evaluation

This thesis develops and evaluates statistical methods for different types of genetic analyses, including quantitative trait loci (QTL) analysis, genome-wide association study (GWAS), and genomic evaluation. The main contribution of the thesis is to provide novel insights in modeling genetic variance, especially via random effects models. In variance component QTL analysis, a full likelihood model accounting for uncertainty in the identity-by-descent (IBD) matrix was developed. It was found to be able to correctly adjust the bias in genetic variance component estimation and gain power in QTL mapping in terms of precision.  Double hierarchical generalized linear models, and a non-iterative simplified version, were implemented and applied to fit data of an entire genome. These whole genome models were shown to have good performance in both QTL mapping and genomic prediction. A re-analysis of a publicly available GWAS data set identified significant loci in Arabidopsis that control phenotypic variance instead of mean, which validated the idea of variance-controlling genes.  The works in the thesis are accompanied by R packages available online, including a general statistical tool for fitting random effects models (hglm), an efficient generalized ridge regression for high-dimensional data (bigRR), a double-layer mixed model for genomic data analysis (iQTL), a stochastic IBD matrix calculator (MCIBD), a computational interface for QTL mapping (qtl.outbred), and a GWAS analysis tool for mapping variance-controlling loci (vGWAS).

Student satisfaction in tourism education : The case of Dalarna University, Borlänge, Sweden

The students' expectations must be met to ensure their overall satisfaction. Because of this student satisfaction has become a measurement tool with which the universities can compete against each other in order to attract potential students and also a higher level of internal and external funding. This thesis deals with students' overall satisfaction in tourism education at Dalarna University in Sweden. It is important to understand what it takes for the universities to be able to produce a motivated workforce for the communities and how satisfied students could help in achieving this goal. Sweden was selected because of the recent introduction of tuition fees, in 2010, which has made it even more crucial to understand the factors affecting students' satisfaction. The method chosen for conducting this study was a questionnaire where the students of Dalarna University were asked to rate different aspects of their overall experience on a Likert scale. The research was conducted via Facebook and email questionnaire. The results show different levels of satisfaction based on the tourism programmes and gender for example. The major finding from this research implicate that the social conditions and surrounding city categories are the most influential when it comes to the overall satisfaction of students at Dalarna University. The results give the university and the city of Borlänge an insight on issues that really matter to the students and how to improve them.

Pedagogical methods in web-based language teaching-mapping

The purpose of this presentation is to introduce the research project progress in “the mapping of pedagogical methods in web-based language teaching" by Högskolan Dalarna (Dalarna University). This project will identify the differences in pedagogical methods that are used for online language classes. The pedagogical method defined in this project is what the teachers do to ensure students attain the learning outcomes, for example, planning, designing courses, leading students, knowing students' abilities, implementing activities, etc. So far the members of this project have analyzed the course plans (in the language department at Dalarna University) and categorized the learning outcomes. A questionnaire was constructed based on the learning outcomes and then either sent out remotely to teachers or completed face to face through interviews. The answers provided to the questionnaires enabled the project to identify many differences in how language teachers interact with their students but also, the way of giving feedback, motivating and helping students, types of class activities and materials used. This presentation introduces the progress of the project and identifies the challenges at the language department at Dalarna University. Finally, the advantages and problems of online language proficiency courses will be discussed and suggestions made for future improvement.

The use of capital budgeting and cost of capital estimation methods in Swedish listed companies

In this paper Swedish listed companies’ use of capital budgeting and cost of capital estimation methods in 2005 and 2008 are examined. The relation between company characteristics and choice of methods is investigated and both within-country longitudinal and cross-country comparisons are made. Larger companies seem to have used capital budgeting methods more frequently than smaller companies. When compared to U.S. and continental European companies, Swedish listed companies employed capital budgeting methods less frequently. In 2005 the most common method for establishing the cost of equity was by asking the investors what return they required. By 2008 CAPM was instead the most utilised method, which could indicate greater sophistication. The use of project risk when evaluating investments also seems to have gained in popularity, while the use of company risk declined. Overall, the use of sophisticated capital budgeting and cost of capital estimation methods seem to be rising and the use of less sophisticated methods declining.

Pedagogical Methods in Web-Based Language Teaching

This paper presents a research project that is being conducted at Dalarna University in Sweden. The aim is to study the following: 1) The quality of online language education compared with that of campus education, and 2) Advantages and disadvantages of online language education and how the disadvantages might be overcome. The project consists of two parts: pedagogical methods in online language education from the teachers’ point of view and from the students’ point of view. The first part was conducted in 2012 and various characteristics (benefits and difficulties) of online language education were identified. Flexibility and wider opportunities were general benefits, while lack of physical co-presence, difficulty in having lively debates/discussions, and high dropout rates were among the problems. The second part of the project (being conducted in 2014) aims to investigate how students experience online language learning. The goal is to explore alignments and misalignments between teachers’ perspectives and students’ perspectives, and to develop methods to enhance the quality of online education.

Young adults in rural tourism areas

This thesis examines how tourism affects conditions for young adults in rural areas. Such a study lies at the intersection of research about tourism impacts, adult transition, and rural areas. The aim is to examine how largescale tourism affects the opportunities for young adults living in rural areas; their perception of place and the perceived opportunities and obstacles that tourism provides. The thesis utilizes a mixed method approach. A quantitative study based on micro-data on individuals identifies the patterns and magnitudes of the mechanisms by which tourism affects population change among young adults. Interview methods are used in the case study area, Sälen, to investigate these mechanisms in depth. Finally, the rural–urban dichotomy is explored in a conceptual study that asks how tourism affects the perception of a local village as either rural or urban. Young inhabitants in rural areas are rarely considered in tourism research; therefore, the main contribution of this thesis is that it illuminates how tourism affects conditions for young adults in rural areas. The thesis reveals a substantial impact on the adult transition, mainly due to easier access to the labor market and a good supply of jobs during the high season. Further, the large number of people passing through creates flows of opportunities to make friends, get a job, or just meet people. All of these factors contribute to high mobility in these places, and to the perception of them as places where things happen. The high mobility in Sälen implies that fixed migrant categories (such as stayers and leavers) are largely insufficient. The tourism environment creates a space that is always under construction and continually producing new social relations mainly perceived as opportunities. Conceptualizing this as a modern rurality is a way to move beyond the often implicit notions of urban as modern and rural as traditional.

Recent developments in statistical methods for detecting genetic loci affecting phenotypic variability

A number of recent works have introduced statistical methods for detecting genetic loci that affect phenotypic variability, which we refer to as variability-controlling quantitative trait loci (vQTL). These are genetic variants whose allelic state predicts how much phenotype values will vary about their expected means. Such loci are of great potential interest in both human and non-human genetic studies, one reason being that a detected vQTL could represent a previously undetected interaction with other genes or environmental factors. The simultaneous publication of these new methods in different journals has in many cases precluded opportunity for comparison. We survey some of these methods, the respective trade-offs they imply, and the connections between them. The methods fall into three main groups: classical non-parametric, fully parametric, and semi-parametric two-stage approximations. Choosing between alternatives involves balancing the need for robustness, flexibility, and speed. For each method, we identify important assumptions and limitations, including those of practical importance, such as their scope for including covariates and random effects. We show in simulations that both parametric methods and their semi-parametric approximations can give elevated false positive rates when they ignore mean-variance relationships intrinsic to the data generation process. We conclude that choice of method depends on the trait distribution, the need to include non-genetic covariates, and the population size and structure, coupled with a critical evaluation of how these fit with the assumptions of the statistical model.