Thesis (Ph. D.)--University of Missouri-Columbia, 2003. / Typescript. Vita. Includes bibliographical references (leaves 94-105). Also available on the Internet.

Thesis (Ph. D.)--University of Missouri-Columbia, 2003. / Typescript. Vita. Includes bibliographical references (leaves 94-105). Also available on the Internet.

Thesis (Ph. D.)--University of Oregon, 2002. / Typescript. Includes vita and abstract. Includes bibliographical references (leaves 106-111).

This thesis examines linguistic similarities and differences between the Russian and Ukrainian languages regarding the word formation of adjectives referring to place names (toponyms). Using contrastive analysis for analyzing the database composed of approximately 1500 shared toponyms, information is presented revealing the use of appropriate derivational paradigms. Tables are provided illustrating important characteristics of toponym stem-endings and the acquisition of their corresponding suffixes. This information culminates in a better understanding of the proper use within each language for the 25 Russian and 18 Ukrainian suffixes used in the derivational models, and its application within language. Analyzing derivational paradigms of these two investigated languages, I found 15 similar and 7 different models resulting from the word formation process. This information brings a clearer picture for both languages on how derivational paradigms are used in the proper formation of adjectives.

Motivation: Various brand equity measures have been proposed in extant literature. Few researches have explored the theoretical similarities, differences and relationship between different brand equity measures. In the thesis, I will explore two types of brand equity measures, namely customer mind-set measures and product-market performance measures. In particular, I will look at: 1) the correlation between the two types of measures; 2) which measure reflects the underlying brand equity construct better; 3) the impacts of marketing mix elements on the two types measures respectively; and 4) the prediction relationship between customer mind-set measure and product-market performance measure. / Theoretical Framework: My main theoretical framework will be brand equity literature. I draw upon the Brand Value Chain framework (Keller & Lehmann, 2(03) to explore the conceptual differences between two types of brand equity measurements, namely customer mind-set and product-market performance measurements. Furthermore, I also use Keller's (1993) Customer-Based Brand Equity concept to explore how specific marketing activities impact the brand equity theoretically. / Data and Methodology: This thesis measures brand equity by two methods: customer mind-set (Keller, 1993) and revenue premium (Ailawadi, Lehmann, & Neslin, 2(03). I use two types of data in the empirical analyses. Survey data, procured from a consumer-packaged product company 1, is used to measure customer mind-set brand equity. This unique data consists of proprietary equity scan surveys on 11 brands from 2004 -- 2006 in the United States. The measurement model of brand equity is rooted in Keller's customer-based brand equity concept (1993). The measurements include brand awareness, brand performance, brand image, brand judgment, brand feelings and brand resonance (Keller, 2(01). The second data is from commercial sources, including IRI and TNS, for the specific brands and time periods corresponding to the survey data and includes revenue premium, price, sales, distribution, promotion, and advertising information. Various techniques are employed for analyses including descriptive and reliability analyses, correlation analyses, multiple-regression, and cross-validation. / Contribution: The contribution ofthis thesis is threefold. Firstly, it sheds light on the underlying theory and relationship between two types of brand equity measurements and provides empirical test of the theory. Secondly, it provides a systematic exploration of the impact of marketing mix elements on brand equity using real market data and two different measurements. Third, it offers very practical guidance for managers on how to choose a specific brand equity measures and how to track the brand equity measures over time for their brands. / 1Because a confidential agreement with this company, the company name, brands name as well as product category will be disguised in the thesis.

The thesis focuses on the branding phenomenon in its relationship with territory. Owners of global brands seek to defend a set of positive associations that goes beyond the concept of trademark per se. In that undertaking, the territorial limitation of trademark rights is perceived as an impediment to a worldwide protection of the branded myth. / The thesis analyses the branding phenomenon and the territoriality principle of trademark law. It also depicts the methods currently employed by trademark owners to circumvent national legislations. The thesis supports alternative approaches, which successfully combine branding and territorial values. / Eventually, the conflict of applying domestic law to "universal" trademarks can be solved by an adequate use of the global branding notion and through the establishment or strengthening of relevant regional blocks.

No abstract available. / Thesis (MBA)-University of Natal, Durban, 2002.

Darbo objektas – žmogaus sukurtų daiktų pavadinimai. Darbo tikslas – aptarti kai kurių žmogaus sukurtų daiktų pavadinimų etimologinę motyvaciją, suskirstyti šiuos žodžius etimologiniu leksiniu požiūriu. Darbe stengtasi pateikti daug perskaitytos literatūros, kur tarp įvairių autorių kyla daug diskusijų. Pagrindiniam tikslui įgyvendinti keliami tokie uždaviniai: 1) Apibrėžti etimologijos sąvoką. 2) Išrinkti žodžius (žmogaus sukurtų daiktų pavadinimų), pateiktus Algirdo Sabaliausko „Lietuvių kalbos leksikoje“ ir papildyti juos kituose veikaluose etimologizuotais žodžiais (Wojciech Smoczyński „Słownik etymologiczny języka litewskiego” ir kt.). 3) Sudaryti žodynėlį, remiantis dabartinės lietuvių kalbos žodyno elektronine versija. 4) Suskirstyti žodžius kilmės atžvilgiu. 5) Suskirstyti žodžius grupėmis. 6) Objektyviai aptarti visų žodžių etimologinę motyvaciją, remiantis įvairių kalbininkų subjektyviomis ir objektyviomis nuomonėmis. 7) Diagramose pateikti statistinius duomenis. Išvadose pateikti statistiniai duomenys: Lietuvių kalbos leksikos (be skolintinės) žmogaus sukurtų daiktų pavadinimų pagrindas yra baltų kalboms būdinga leksika, kurios skaičius 32% (41 ž.). Nedaug atsilieka senoji ide. leksika ir tik lietuvių kalbai būdinga leksika po 25% (33/34 ž.). Mažiausias skaičius, bet nemažai yra bendrosios baltų ir slavų leksikos 16% (20 ž.). Bendrai etimologizuoti lietuvių kalbos leksikos (be skolintinės) 128 lietuvių kalboje vartojami žodžiai. Daugiausia skolinių... [toliau žr. visą tekstą] / The subject of the work – „the Names of Man – Made Things“. The aim of the wort is to investigate the motivation of giving derivate names of man-made things, to divide them according to their lexikal derivative meaning. In the work I tried to present the material used fro different sources, as there is a discussion and difference in opinions among a lot of authors. The main tasks of the work are: 1) To describe the meaning of derivation. 2) To choose the words (man-made things) given in „Lietuvių kalbos leksika“ by Algirdas Sabaliauskas and to supplement them with derivative words (Wojciech Smoczyński „Słownik etymologiczny języka litewskiego” etc.). 3) To make a small dictionary taking into consideration E-version of modern Lithuanian dictionary. 4) To dividive the words according their origin. 5) To unite the words in groups. 6) To discuss objectively all the words’ derivative motivation, taking into consideration all the subjective and objective opinions of the speakers. 7) To present statistic’s data in the diagram. In the conclusion the statistic’s data is shown. The basis of the original (not borrowed) Lithuanian names of man-made things is the peculiarity of the Baltic languages, the number of which is 32% (41 w.). Not much is behind the old ide. and only for the Lithuanian language peculiar lexics 25% (34/33 w.). The smallest number but very important one is common Baltic and Slave lexics that makes 16% (20 w.). In general there are 128 derivative (not... [to full text]

This thesis presents new Bayesian nonparametric models and approaches for their development, for the problems of name disambiguation and supervised learning. Bayesian nonparametric methods form an increasingly popular approach for solving problems that demand a high amount of model flexibility. However, this field is relatively new, and there are many areas that need further investigation. Previous work on Bayesian nonparametrics has neither fully explored the problems of entity disambiguation and supervised learning nor the advantages of nested hierarchical models. Entity disambiguation is a widely encountered problem where different references need to be linked to a real underlying entity. This problem is often unsupervised as there is no previously known information about the entities. Further to this, effective use of Bayesian nonparametrics offer a new approach to tackling supervised problems, which are frequently encountered. The main original contribution of this thesis is a set of new structured Dirichlet process mixture models for name disambiguation and supervised learning that can also have a wide range of applications. These models use techniques from Bayesian statistics, including hierarchical and nested Dirichlet processes, generalised linear models, Markov chain Monte Carlo methods and optimisation techniques such as BFGS. The new models have tangible advantages over existing methods in the field as shown with experiments on real-world datasets including citation databases and classification and regression datasets. I develop the unsupervised author-topic space model for author disambiguation that uses free-text to perform disambiguation unlike traditional author disambiguation approaches. The model incorporates a name variant model that is based on a nonparametric Dirichlet language model. The model handles both novel unseen name variants and can model the unknown authors of the text of the documents. Through this, the model can disambiguate authors with no prior knowledge of the number of true authors in the dataset. In addition, it can do this when the authors have identical names. I use a model for nesting Dirichlet processes named the hybrid NDP-HDP. This model allows Dirichlet processes to be clustered together and adds an additional level of structure to the hierarchical Dirichlet process. I also develop a new hierarchical extension to the hybrid NDP-HDP. I develop this model into the grouped author-topic model for the entity disambiguation task. The grouped author-topic model uses clusters to model the co-occurrence of entities in documents, which can be interpreted as research groups. Since this model does not require entities to be linked to specific words in a document, it overcomes the problems of some existing author-topic models. The model incorporates a new method for modelling name variants, so that domain-specific name variant models can be used. Lastly, I develop extensions to supervised latent Dirichlet allocation, a type of supervised topic model. The keyword-supervised LDA model predicts document responses more accurately by modelling the effect of individual words and their contexts directly. The supervised HDP model has more model flexibility by using Bayesian nonparametrics for supervised learning. These models are evaluated on a number of classification and regression problems, and the results show that they outperform existing supervised topic modelling approaches. The models can also be extended to use similar information to the previous models, incorporating additional information such as entities and document titles to improve prediction.

No description available.