Existing research suggests that when consumers encounter hybrid products or boundary-spanning products with attributes belonging to multiple categories, consumers tend to generate inferences based on only a single product category. Reliance on a single category for inferencing is termed as the “single category belief problem” which has been regarded as a vital marketing challenge because it leads consumers to underestimate the true utility of a hybrid product as certain product attributes are ignored. Our objective was to explore whether single category beliefs manifest in consumer choice for a hybrid product when strategically placed within varying contexts. The research used discrete choice experiment (DCE) to test hypotheses. Our research confirms that the single category belief is evident in consumer choice. We also found that the context the hybrid product is placed within has a major influence on what consumers preferred the most. Depending on the context a hybrid product was seen in had significant influence on how consumers evaluated product attributes and made purchase decisions. The findings for this research may be very beneficial for marketers.

Design fixation is a phenomenon experienced by professional designers and engineering design students that stifles creativity and innovation through discouraging ideational productivity, fluency and diversity. During the design idea and concept generation phase of the design process, a reliance on perceptual surface feature similarities between design artefacts increases the likelihood of design fixation leading to design duplication. Psychologists, educators and designers have become increasingly interested in creative idea generation processes that encourage innovation and entrepreneurial outcomes. However, there is a notable lack of collaborative research between psychology, education and engineering design particularly on inductive reasoning of undergraduate engineering students in higher education. The data gathered and analysed for this study provides an insight into property inference decision-making preferences and decision switching (SWITCH) patterns of engineering undergraduates under similarity-based inductive judgements [SIM] and category-based inductive judgements [CAT]. For this psychology experiment, property induction tasks were devised using abstract shapes in a triad configuration. Participants (N = 180), on an undergraduate engineering programme in London, observed a triad of shapes with a target shape more similar-looking to one of two given shapes. Factors manipulated for this experiment included category alignment, category group, property type and target shape. Despite the cognitive development and maturation stage of undergraduate engineers (adults) in higher education, this study identified similarity-based inductive judgements [SIM] to play a significant role during inductive reasoning relative to the strength of category-based inductive judgements [CAT]. In addition to revealing the property inference decision-making preferences of a sample of undergraduate engineers (N = 180), two types of switch classification and two types of non-switch classification (SWITCH) were found and named SIM_NCC, SIM-Salient, Reverse_CAT and CAT_Switching. These different classifications for property inference switching and non-switching presented a more complex pattern of decision-making driven by the relative strength between similarity-based inductive judgements [SIM] and category-based inductive judgements [CAT]. The conditions that encouraged CAT_Switching is of particular interest to design because it corresponds to inference decision switching that affirms the sharing of properties between dissimilar-looking shapes designated as category members, i.e., in a conflicting category alignment condition (CoC). For CAT_Switching, this study found a significant interaction between a particular set of conditions that significantly increased the likelihood of property inference decisions switching to affirm the sharing of properties between dissimilar-looking shapes. Stimuli conditions that combined a conflicting category alignment condition (where dissimilar-looking shapes belong to the same category) with category specificity, a causal property and a target shape with merged (or blended) perceptual surface features significantly increased the likelihood of a property inference decision switching. CAT_Switching has important implications for greater ideational productivity, fluency and diversity to discourage design fixation within the conceptual design space. CAT_Switching conditions could encourage more creative design transformations with alternative design functions through inductive inferences that generalise between dissimilar artefact designs. The findings from this study led to proposing a Cartesian view of the concept design space to represent the possibilities for greater movements through flexible and expanding category boundaries to encourage conceptual combinations, greater ideational fluency and greater ideational diversity within a configuration design space. This study has also created a platform for further research into property inference decision-making, ideational diversity and category boundary flexibility under stimuli conditions that encourage designers and design students to make inductive generalisations between dissimilar domains of knowledge through a greater emphasis on causal relations and semantic networks.

Recently, it has been admitted by many researchers that students today are "digital natives" who already utilize several different technologies everyday with different purposes. Furthermore, while there is a plethora of research about learners' perceptions in language pedagogy, there is a paucity of information and research that could move beyond generic perception studies especially regarding new technologies. Accordingly, educators are still concerned not only with how to encourage EFL learners to adopt emerging technologies that could be invaluable in their language learning processes, but also with how to keep students interested in what they are learning. Thus, an understanding beyond students' perceptions with a purposive focus on their approach to technology by also exploring factors that have an influence on their adoption of emerging technologies is the key to knowing how to motivate students to integrate new technologies, and how to keep students interested in the learning process. Therefore, the purpose of this study was three-fold: to identify language learners' approaches to technologies; to examine their attitude toward emerging technologies with a focus on their familiarity, actual use, intentions and perceptions; and finally to analyze the factors and relationships among these factors that best predict language learners' intentions and decisions to use emerging technologies. The study specifically aimed to explore the following emerging technologies: (a) social networking, (b) mobile learning, and (c) digital games as major emerging technologies of today with also a focus on other emerging technologies: (a) augmented reality, (b) wearable technologies, (c) virtual assistants, (d) massive online open courses, (e) 3D printing and (f) online language learning platforms. This mixed methods study benefitted from multiple disciplines, and presented several different perspectives to achieve its aim. The data were obtained through a survey, open-ended questions, and semi-structured interviews. The quantitative data were analyzed through descriptive and inferential statistics. In addition, structural equation modeling was utilized and path analysis was employed to draw on two complementary frameworks: innovation diffusion theory (Rogers, 2003), especially its application in technology adopter categories (TACI) (Dugas, 2005), and the decomposed theory of planned behavior (DTPB) (Taylor & Todd, 1995), which was adapted for this research. The qualitative data was analyzed through thematic content analysis, and used to triangulate and affirm what the quantitative data was showing. The findings indicated that technology adopter categories were normally distributed among EFL learners at a public and a private university in Turkey. Although most EFL learners were quite familiar and confident with major emerging technologies, they were not very familiar with minor emerging technologies. As for an awareness of the benefits of all listed emerging technologies, the study revealed that EFL learners' awareness is quite high; however, it was also found that participants' intention to use these emerging technologies and their actual use were very low. Finally, the results showed that the adapted DTPB was useful in explaining much of the variance in the intention to integrate technology into language learning processes by EFL learners, and attitude was the most important predictor and factor of behavioral intention. Given these findings, this research aims to contribute to the literature in innovation diffusion, user adoption and language pedagogy by offering several theoretical, methodological, and pedagogical implications and directions for future research and applications.

Information systems researchers typically use self-report measures, such as questionnaires to study consumers’ online risk perception. The self-report approach captures the conscious perception of online risk but not the unconscious perception that precedes and dominates human being’s decision-making. A theoretical model in which implicit risk perception precedes explicit risk evaluation is proposed. The research model proposes that implicit risk affects both explicit risk and the attitude towards online purchase. In a direct path, the implicit risk affects attitude towards purchase. In an indirect path, the implicit risk affects explicit risk, which in turn affects attitude towards purchase. The stimulus used was a questionable web site offering pre-paid credit card services. Data was collected from 150 undergraduate students enrolled in a university. Implicit risk was measured using methods developed in social psychology, namely, single category-implicit association test. Explicit risk and attitude towards purchase were measured using a well-known instrument in the e-commerce risk literature. Preliminary, unconditioned analysis suggested that (a) implicit risk does not affect explicit risk, (b) explicit risk does not affect attitude to purchase, and (c) implicit risk does not affect attitude towards purchase.

Thesis (MSc)--Stellenbosch University, 2014. / ENGLISH ABSTRACT: In this thesis we develop a self-dual categorical approach to some topics in non-abelian algebra, which is based on replacing the framework of a category with that of a category equipped with a functor to it. We also make some first steps towards a possible link between this theory and the theory of databases in computer science. Both of these theories are based around the study of Grothendieck bifibrations and their generalisations. The main results in this thesis concern correspondences between certain structures on a category which are relevant to the study of categories of non-abelian group-like structures, and functors over that category. An investigation of these correspondences leads to a system of dual axioms on a functor, which can be considered as a solution to the proposal of Mac Lane in his 1950 paper "Duality for Groups" that a self-dual setting for formulating and proving results for groups be found. The part of the thesis concerned with the theory of databases is based on a recent approach by Johnson and Rosebrugh to views of databases and the view update problem. / AFRIKAANSE OPSOMMING: In hierdie tesis word ’n self-duale kategoriese benadering tot verskeie onderwerpe in nie-abelse algebra ontwikkel, wat gebaseer is op die vervanging van die raamwerk van ’n kategorie met dié van ’n kategorie saam met ’n funktor tot die kategorie. Ons neem ook enkele eerste stappe in die rigting van ’n skakel tussen hierdie teorie and die teorie van databasisse in rekenaarwetenskap. Beide hierdie teorieë is gebaseer op die studie van Grothendieck bifibrasies en hul veralgemenings. Die hoof resultate in hierdie tesis het betrekking tot ooreenkomste tussen sekere strukture op ’n kategorie wat relevant tot die studie van nie-abelse groep-agtige strukture is, en funktore oor daardie kategorie. ’n Verdere ondersoek van hierdie ooreemkomste lei tot ’n sisteem van duale aksiomas op ’n funktor, wat beskou kan word as ’n oplossing tot die voorstel van Mac Lane in sy 1950 artikel “Duality for Groups” dat ’n self-duale konteks gevind word waarin resultate vir groepe geformuleer en bewys kan word. Die deel van hierdie tesis wat met die teorie van databasisse te doen het is gebaseer op ’n onlangse benadering deur Johnson en Rosebrugh tot aansigte van databasisse en die opdatering van hierdie aansigte.

This dissertation examines cross-category effects in consumer purchases from the big data and analytics perspectives. It uses data from Nielsen Consumer Panel and Scanner databases for its investigations. With big data analytics it becomes possible to examine the cross effects of many product categories on each other. The number of categories whose cross effects are studied is called category scale or just scale in this dissertation. The larger the category scale the higher the number of categories whose cross effects are studied. This dissertation extends research on models of cross effects by (1) examining the performance of MVP model across category scale; (2) customizing artificial neural network (ANN) techniques for large-scale cross effect analysis; (3) examining the performance of ANN across scale; and (4) developing a conceptual model of spending habits as a source of cross effect heterogeneity. The results provide researchers and managers new knowledge about using the two techniques in large category scale settings The computational capabilities required by MVP models grow exponentially with scale and thus are more significantly limited by computational capabilities than are ANN models. In our experiments, for scales 4, 8, 16 and 32, using Nielsen data, MVP models could not be estimated using baskets with 16 and more categories. We attempted to and could calibrate ANN models, on the other hand, for both scales 16 and 32. Surprisingly, the predictive results of ANN models exhibit an inverted U relationship with scale. As an ancillary result we provide a method for determining the existence and extent of non-linear own and cross category effects on likelihood of purchase of a category using ANN models. Besides our empirical studies, we draw on the mental budgeting model and impulsive spending literature, to provide a conceptualization of consumer spending habits as a source of heterogeneity in cross effect context. Finally, after a discussion of conclusions and limitations, the dissertation concludes with a discussion of open questions for future research.

Approved for public release, distribution is unlimited / The Marine Corps is fielding the MTVR Truck as a replacement for its aging fleet of five-ton cargo trucks. The MTVR is an Acquisition Category II program that was a multi-service Army-Marine Corps program. The purpose of this thesis is to examine the effectiveness of having an Army Product Office execute a Marine Corps Program. The study analyzes the effectiveness of the timing of the program's transition from the Army to the Marine Corps. A detailed literature search, as well as information gathered from attending various IPRs and conducting interviews with program officials and contractors, provided the basis for the in-depth background study presented. Analysis of the data gathered led to a justification for multi-service managed programs, as well as to recommendations on the timing of the MTVR program transition. / Civilian, United States Army

In Scandinavian languages there are many popular bird names, most of which have been recorded in the dialect archives in the Nordic countries. The thesis concentrates on the bird names for snipes, i.e. the common snipe, the great snipe, the jacksnipe and the woodcook, in all approx. 330 different names. Some of these are recognized throughout Scandinavia, while others are only sparsely confirmed in single dialects. An especially large number of names refer to the common snipe, mainly due to its typical vibrating sound. Since the sound resembles a certain unobtrusive whinny from a horse or bleat from a goat or a sheep, many of the names contain words associating to these animals. Names describing a creaking sound mostly refer to the woodcock. Fairly common are names describing the protruding beak, a characteristic feature of all snipes. In order to give a complete semantic and etymological picture, all words forming part of the names have been identified and sorted by category, i.e. words indicating a common implicit meaning. The categories in turn have been divided into two main groups: words describing different sounds, and words describing visual impressions. In addition, names describing popular beliefs and those transferred from other bird species are presented. Factors that influence origin, formation, existence and development of bird names have been considered. With the etymological discussion forming the necessary background, ethnological aswell as cultural influences complete the picture of the naming process. Man's need for identification and classification of phenomena in his environment as well as the presence vs. lack of affect are important factors in the process. As is shown, a striking sound along with a particular appearence has inspired many affected popular names, while scientific names largely refer to visual, non-affected impressions. Due to man's present lack of everyday connection with nature many of the popular bird names presented are no longer in use. However, some of the names prove to be fairly young, which shows that the process of popular classification and naming is still a functioning part of our language and culture. / <p>Doktorsavhandling vid Uppsala universitet, 1996.</p>

This thesis studies the categorical formalisation of quantum computing, through the prism of type theory, in a three-tier process. The first stage of our investigation involves the creation of the dagger lambda calculus, a lambda calculus for dagger compact categories. Our second contribution lifts the expressive power of the dagger lambda calculus, to that of a quantum programming language, by adding classical control in the form of complementary classical structures and dualisers. Finally, our third contribution demonstrates how our lambda calculus can be applied to various well known problems in quantum computation: Quantum Key Distribution, the quantum Fourier transform, and the teleportation protocol.

This work is about diagrammatic languages, how they can be represented, and what they in turn can be used to represent. More specifically, it focuses on representations and applications of string diagrams. String diagrams are used to represent a collection of processes, depicted as "boxes" with multiple (typed) inputs and outputs, depicted as "wires". If we allow plugging input and output wires together, we can intuitively represent complex compositions of processes, formalised as morphisms in a monoidal category. While string diagrams are very intuitive, existing methods for defining them rigorously rely on topological notions that do not extend naturally to automated computation. The first major contribution of this dissertation is the introduction of a discretised version of a string diagram called a string graph. String graphs form a partial adhesive category, so they can be manipulated using double-pushout graph rewriting. Furthermore, we show how string graphs modulo a rewrite system can be used to construct free symmetric traced and compact closed categories on a monoidal signature. The second contribution is in the application of graphical languages to quantum information theory. We use a mixture of diagrammatic and algebraic techniques to prove a new classification result for strongly complementary observables. Namely, maximal sets of strongly complementary observables of dimension D must be of size no larger than 2, and are in 1-to-1 correspondence with the Abelian groups of order D. We also introduce a graphical language for multipartite entanglement and illustrate a simple graphical axiom that distinguishes the two maximally-entangled tripartite qubit states: GHZ and W. Notably, we illustrate how the algebraic structures induced by these operations correspond to the (partial) arithmetic operations of addition and multiplication on the complex projective line. The third contribution is a description of two software tools developed in part by the author to implement much of the theoretical content described here. The first tool is Quantomatic, a desktop application for building string graphs and graphical theories, as well as performing automated graph rewriting visually. The second is QuantoCoSy, which performs fully automated, model-driven theory creation using a procedure called conjecture synthesis.