Recently, brands are getting more and more dominant, not only in the market, but also customers have started to feel different about them. The aim of the thesis is to find out, who is interested in brands and then to learn as much as possible about those. At first, there has been segmenting in software program Data Analyzer using the MML-TGI data. Several relating parameters have been chosen to that process: customer behaviour, brand preferences, respondents' attitudes to corporate behaviour or the fact, that describes customers' interests in good information. The second important part of the thesis is my own research focused on consumers behaviour as well as on preferences, attitudes, and opinions according to the clothing brands. The last part of the thesis includes semantic differential which describes the respondents' perception of three selected clothing brands - Kenvelo, Adidas a Lacoste.

Scientific visualization is an essential and indispensable tool for the systematic study of computational (CFD) datasets. There are numerous methods currently used for the unwieldy task of processing and visualizing the characteristically large datasets. Feature extraction is one such technique and has become a significant means for enabling effective visualization. This thesis proposes different modules to refine the maps which are generated from a feature detection on a dataset. The specific example considered in this work is the vortical flow in a two-dimensional oceanographic dataset. This thesis focuses on performing feature extraction by detecting the features and processing the feature maps in three different modules, namely, denoising, segmenting and ranking. The denoising module exploits a wavelet-based multiresolution analysis (MRA). Although developed for two-dimensional datasets, these techniques are directly extendable to three-dimensional cases. A comparative study of the performance of Optimal Feature-Preserving (OFP) filters and non-OFP filters for denoising is presented. A computationally economical implementation for segmenting the feature maps as well as different algorithms for ranking the regions of interest (ROI's) are also discussed in this work.

The competition amongst companies is getting tougher and the economic markets are getting even bigger with new products and businesses. One way for companies to differentiate themselves from the competitors is through packaging design. If the merchandise is to send a reliable and solid message to consumers, the attributes of the packaging must be consistent and uniform. If the different attributes are not coherent, the message loses credibility towards the consumer. Through the sent messages, the pack signals the products’ expected quality and price. This paper includes two studies, in which the main objective is to discover and build understanding about Swedish consumers’ perception of a product’s price depending on the pack’s design. The focus of this paper is based upon household products. The first study is solely focused on consumers’ opinions on package design, while the second study is based on existing product packs on the market. The results obtained in the consumer study will discover eventual general opinions concerning cheap and expensive packages. These results will then be compared to a selection of products from the markets’ existing offers. The purpose of this study is to clarify how well companies shape their packs based on consumers’ general perception. It is finally discussed how the different attributes can be used to legitimize a higher or lower price. / Konkurrensen mellan företag ökar och blir allt hårdare med ett ständigt växande antal aktörer på marknaden. Ett sätt att differentiera sig från konkurrenter är genom förpackningsdesign. För att varan i sin helhet ska ge ett pålitligt intryck måste förpackningens attribut vara enhetliga och genomgående. Spretar attributen inger detta förvirring och skapar brist i trovärdighet hos konsumenten. Förpackningen signalerar varans förväntade kvalitet och pris. Denna uppsats omfattar två studier med syfte att kartlägga svenska konsumenters uppfattning av en produkts pris utifrån förpackningens utformning. Fokus i denna uppsats ligger på hushållsprodukter. Den första studien vänder sig direkt till konsumenten medan den andra undersöker befintliga förpackningar på marknaden. Resultatet av konsumenternas generella uppfattning, gällande billiga respektive dyrare förpackningar, jämförs med ett urval från marknadens befintliga utbud. Detta görs med syfte att klargöra för hur väl företagen arbetar efter konsumenternas generella uppfattning. Slutligen diskuteras hur de olika attributen kan användas i förpackningsdesign för att legitimera ett dyrare respektive billigare pris.

Through an ever-increasing connectivity, the digital imprints left behind are opening new possibilities for organizations. Big data contains large amounts of consumer data and through analysis this data is transformed into information. This has enabled organizations new forms of how to implement big data to the decision-making process regarding segmentation of consumers. Through a qualitative survey and semi-structured interviews, a case study is used for the research of Destination Gotland and TUI. The purpose of this study is to investigate how big data affects the decision-making process for segmentation at two organizations in the travel industry. The theoretical framework has been designed after thorough research of relevant literature. The Analysis model used in the thesis is a product of the theoretical framework. The results of this study show that big data is affecting how organizations are identifying customer segments. Big data is used a foundation for decision-making but still relies on knowledgeable decision-makers. The type of market the organization is operating in is crucial to the nature decision that can be made regarding segmentation. / Till följd av den digitala utvecklingen har organisationer börjat inhämta och lagra stora mängder digital data. Den digitala datan som samlats in av organisationer benämns som big data och utgörs av personlig information om individer. En grundläggande del vid ett tillämpande av big data i organisationers arbete är en analys av insamlad information. Med hjälp av en analys transformeras datan till förståelig information som sedan kan appliceras i beslutsfattandeprocesser inom organisationer. Beslutsfattare inom organisationer använder information som är utvunnen från big data för att stärka deras argument vid situationer där beslut ska fattas. Big data har utvecklat och möjliggjort nya former av hur organisationer genomför beslutsfattandeprocessen gällande segmentering av konsumenter. Med avseende på det bredare utbud av information som finns tillgänglig om individer tilltar organisationers möjligheter för en ökad förståelse om individen. Informationen som samlas in av organisationer kan ha både dagsaktuell och historisk karaktär. Syftet med uppsatsen är att med hjälp av en undersökning granska två svenska reseföretags användande av big data i deras beslutsfattade vid identifiering av nya segment. Studien utgår från en fallstudiedesign som undersöker två svenska företag inom resebranschen med hjälp av kvalitativa intervjuer. Det teoretiska ramverk uppsatsen bygger på har utformats utefter problemformuleringen och tar därför upp big data, beslutsfattande och segmentering. Detta leder fram till en analysmodell som förklarar hur dessa begrepp förhåller sig till varandra. De resultat undersökningen påvisar är att organisationers identifiering av nya kundsegment påverkas av big data på olika sätt. Big data används som underlag för beslut men är fortfarande i behov av kompetenta beslutsfattare med sakkunskap om marknaden och konsumenter. Beroende på vilken marknad organisationen är verksam på är typen av data avgörande för vilka beslut gällande identifiering av segment som kan fattas.

This qualitative study examines an asynchronous online course from a private university utilizing a template model for all online courses to provide students with consistent navigation and course structure throughout their degree program. The asynchronous online courses are purposely created using three criteria of quality course design: navigation is intuitive, information is chunked, and instructions are written clearly. A two-part usability test was conducted with three internal and three external participants. The two-part usability test focused on course navigation and examined the signaling, segmenting, and coherence principles applied to course content page layouts. Transcripts from the usability tests and observational field notes were coded through an iterative process in Nvivo. Through emic and etic coding, seven main categories were identified: user experience, cognitive load, multimedia learning principles, page design and layout attributes, course navigational attributes, course attributes and information, and participant navigational behavior. The findings for first-day navigation, general navigational behaviors, and perceptions of design elements used to implement the signaling, segmenting, and coherence principle are discussed. Course design recommendations for creating a positive usability experience and suggestions for future research are provided.