Understanding the different factors, influencers, and outcomes that form a successful brand partnership allow for marketers to make informed decisions that benefit their company. This paper provides a comprehensive review of the literature regarding partnership marketing and issues a set of guidelines for marketers to strategically market their brand by way of collaboration. With two distinct strategic frameworks, reaffirming partnerships and repositioning partnerships, this paper seeks illustrate the efficacy of brand collaboration and how to achieve success based on varying brand goals.

This thesis reflectively and critically examines a series of research case studies initiated by a research-whānau. It explores the thinking, experiences and reflections of this research-whānau, as they worked to enhance the educational achievement of Māori students. Authorship of the thesis was undertaken by me (Mere Berryman). However, the methodology involved a collaborative, retrospective and critical reflection of research-whānau experiences and thinking, in the light of the research findings and experiences since the inception of this research-whānau in 1991. In the course of this work, the research-whānau have been able to explore what it has meant to put the principles of kaupapa Māori research into practice while working within a mainstream organisation (Specialist Education Services then the Ministry of Education). Our research work has involved repositioning ourselves from dependence on Western research methodologies to a better understanding and application of kaupapa Māori conceptualisations of research. The thesis begins by identifying mainstream and kaupapa Māori events that have historically and still continue to impact upon Māori students' educational experiences. These events provide the wider context for the work of this research-whānau at the interface of Te Ao Māori and Te Ao Pākehā, and for the 11 case studies that exemplify changes in our thinking and research practice over a period of 15 years. The thesis employs an indigenous (and specifically Māori) worldview as the framework for description, critical reflection, and theorising around these case studies. Common themes are collaboratively co-constructed then each theme is explained in relation to relevant Māori theory. The thesis concludes with the shifts in theorising and practice made by the research-whānau during the course of our work as we sought to contribute in ways that were more transformative and self-determining. We argue that these shifts in theorising and practice are also required of others if we are to change the status quo and contribute constructively to improving Māori students' potential.

This thesis was carried out during Spring semester 2012 at Södertörn University in collaboration with the Swedish distance selling company Halens. Halens is one of Sweden’s leading e-commerce companies with a significant history in distance selling. The company started as a mail-order company but their current and future goals are directed towards full e-commercialization. Halens has expanded to several international markets and their assortment consists mainly of women’s apparel, but also includes men’s wear, children’s wear and electronics. The purpose of this thesis is to find ways to improve the image of traditional mail-order companies that are going through a transition towards e-commerce. It has a specific look on branding and brand repositioning and the aim is to give suggestions on how to improve the image and attracting new customers while maintaining the loyal customer base that companies have gained. This includes identifying the pros and cons of the companies’ current position as well as viewing the modern possibilities that e-commercialization brings. Four interviews were conducted in order to obtain up-to-date information. Two of the people who were interviewed are employees at Halens whose work is closely related to the subject of this thesis. The data that was obtained from them deals with the company’s current activities and goals in terms of repositioning their brand. Another viewpoint is met with two consumer interviews, where information is received from different attitudes towards Halens. One of the interviewed is a long-time Halens customer, while the second one has never purchased from Halens. In addition, our own observations have been conducted for deeper analysis of the study. As one of us is a Halens employee it has given us direct access to collect data about the company image and compare our perceptions with one another. A clear view of the brand repositioning requirements that have appeared with the transition towards e-commerce has been established during this essay. Results have shown an apparent need for modernizing and investing in renewal of brand image as a mail-order company moving in to online marketing.

Bicycle sharing systems (BSS) have emerged as a powerful stimulus to non- motorized travel, especially for short-distance trips. However, the imbalances in the distribution of bicycles in BSS are widely observed. It is thus necessary to reposition bicycles to reduce the unmet demand due to such imbalances as much as possible. This paper formulates a new mixed-integer linear programming model considering the dynamic nature of the demand to solve the repositioning problem, which is later validated by an illustrative example. Due to the NP-Hard nature of this problem, we seek for two heuristics (greedy algorithm and rolling horizon approach) and one exact solution method (Benders’ decomposition) to get an acceptable solution for problems with large instances within a reasonable computation time. We create four datasets based on real world data with 12, 24, 36, and 48 stations respectively. Computational results show that our model and solution methods performed well. Finally, this paper gives some suggestions on extensions or modifications that might be added to our work in the future. / text

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Background:                 Brands are associated with certain elements, including name, logo and slogan. Being understood as major parts of all brands, changing these would be considered as a vital event. The term ‘rebranding’ is an umbrella term for describing the three following processes; changing name, changing the aesthetics of the brand, and/or repositioning. Although rebranding often results in success, the process of rebranding is challenging and risky, and it is important for firms to understand the main opportunities as well as the main barriers in order for the rebranding process to be as well-organised and effective as possible. With this in mind after a significant change, companies need to enforce the brand images previously perceived by consumers, in order to capture and transfer brand equity, as well as making sure that the rebranding process responds to the desired corporate identity of the firm. Purpose:                       The purpose of this thesis is to understand corporate rebranding, focusing on repositioning, and what consequences arise from it, in terms of brand equity, corporate identity, and brand image, by using the case of Lidl in order to illustrate this.   Method:                       A single-case study has been conducted illustrating Lidl in accordance with the purpose of this thesis. Primary data have been collected through a qualitative method, and secondary data has been gathered to further support purpose and gain understanding about Lidl. Theoretical insights have been collected through a literature review. Conclusion:                   Derived from the research the authors can conclude that repositioning, as a process of rebranding, is a difficult and long-term process. The research and findings show that repositioning although difficult is possible proven by examining positive effects from the rebranding process of Lidl on brand equity, corporate identity and brand image.

The high cost and the long time required to bring drugs into commerce is driving efforts to repurpose FDA approved drugs—to find new uses for which they weren’t intended, and to thereby reduce the overall cost of commercialization, and shorten the lag between drug discovery and availability. In comparison to traditional drug repositioning, which relies on serendipitous clinical discoveries, computational methods can systemize the drug search and facilitate the drug development timeline even further. In this dissertation, I report on the development, testing and application of a promising new approach to drug repositioning. This novel computational drug repositioning method is based on mining a human functional linkage network for inversely correlated modules of drug and disease gene targets. Functional linkage network is an evidence-weighted network that provides a quantitative measure of the degree of functional association among any set of human genes. The method takes account of multiple information sources, including gene mutation, gene expression, and functional connectivity and proximity of within module genes. The method was used to identify candidates for treating breast and prostate cancer. We found that (i) the recall rate for FDA approved drugs for breast and (prostate) cancer is 20/20 (10/11), while the rates for drugs in clinical trials were 131/154 and (82/106); (ii) the Area Under the ROC Curve performance substantially exceeds that of two comparable previously published methods; (iii) preliminary in vitro studies indicate that 5/5 identified breast cancer candidates have therapeutic indices superior to that of Doxorubicin in Luminal-A (MCF7) and Triple-Negative (SUM149) breast cancer cell lines. I briefly discuss the biological plausibility of the candidates at a molecular level in the context of the biological processes that they mediate. In conclusion, our method provides a unique way of prioritizing disease causal genes and identifying drug candidates for repositioning, based on innovative computational method. The method appears to offer promise for the identification of multi-targeted drug candidates that can correct aberrant cellular functions. In particular the computational performance exceeded that of existing computational methods. The approach has the potential to provide a more efficient drug discovery pipeline.

Drug-induced gene expression profiles are rich information sources that can help to measure the effect of a drug on the transcriptional state of cells. However, the available experimental data only covers a limited set of conditions such as treatment time, dosages, and cell lines. This poses a challenge for neural network models to learn embeddings that can be generalized to new experimental conditions. In this project, we focus on the cell line as the confounder variable and train an Adversarial Neural Network to extract transcriptional effects that are conserved across multiple cell lines, and can thus be more confidently generalized to the biological setting of interest. Additionally, we investigate several methods to test whether our approach can simultaneously learn biologically valid embeddings and deconfound the effect of cell lines on the data distribution

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京都大学 / 新制・課程博士 / 博士(医学) / 甲第23565号 / 医博第4779号 / 新制||医||1054(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 武藤 学, 教授 万代 昌紀, 教授 上杉 志成 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM