Yes / Research shows that big data analytics capability (BDAC) is a major determinant of firm performance. However, scant research has theoretically articulated and empirically tested the mechanisms and conditions under which BDAC influences performance. This study advances existing knowledge on the BDAC–performance relationship by drawing on the knowledge-based view and contingency theory to argue that how and when BDAC influences market performance is dependent on the intervening role of disruptive business models and the contingency role of competitive intensity. We empirically test this argument on primary data from 360 firms in the United Kingdom. The results show that disruptive business models partially mediate the positive effect of BDAC on market performance, and this indirect positive effect is strengthened when competitive intensity increases. These findings provide new perspectives on the business model processes and competitive conditions under which firms maximize marketplace value from investments in BDACs.

Yes / This study looks at the relationship between big data analytics capability and market performance and how this relationship can be facilitated by adopting disruptive business models in competitive environments.

People use a variety of means to orient themselves towards the future. A more organised approach to handling the future known as "futures studies" is often used in a variety of contexts including long-term planning within large organisations. In the effort to enhance the quality of such studies, there have been arguments for better methods (which makes sense), but methods may not be the most important aspect in the production of futures studies. Greater theoretical awareness in the substantive questions upon which the study is based is more important. To that end, the intent of this dissertation is to infuse a keener awareness of fundamental assumptions in futures studies and contribute to increasing their quality. One objective of the dissertation is to formulate a method or procedure to analyse the futures studies of large organisations, apply it to two empirical cases and thereafter analyse its strengths and weaknesses. The method I discuss and develop extensively in this work consists of an analytical framework that focuses on three aspects of each future study: its architecture, its relationship to a few of the key future issues of our time and its assumptions regarding our views on society, humanity and technology. A second objective is to systematically study future documents from two large organisations and attempt to clarify motives, orientation, methodology and distinguishing characteristics in their future processes. The cases I have chosen are the Swedish Armed Forces and the telecommunications company Ericsson, which were both in a period of transition around the mid 1990s. The dissertation shows how the method has been used to bring to the fore and clarify central ideas in futures studies, identify ambiguities and fuzzy thinking and to show and expose more covert assumptions. The analysis also illustrates that certain aspects of the model have been observed in the empirical material, other ideas are found to a lesser extent and certain perspectives are entirely absent. The paper stresses that the model developed has both strengths and weaknesses, but the overall assessment is that it was well-balanced and maintains appropriate depth in relation to desired efficiency. The study shows that the analytical method is relevant and adequate to understand and describe the direction and content of futures studies and in so doing enhance their quality.

汽車貨運業一直以來都為台灣的經濟帶來極大的貢獻，雖然之前相關的研究提供了這個產業許多價值，但是目前還沒有是針對汽車貨運公司主要所載的商品來做研究，如此的把所有汽車貨運公司一視同仁忽略了承載不同的商品有不同的競爭程度的事實，倒置這些研究所提出來的架構無法解釋許多這個產業裡發生的現象。 將會焦點放在承載鋼鐵的汽車貨運公司，這份研究延伸策略管理的相關文獻來了解這個產業的運作，以質性研究之案例研究法來了解是什麼因素影響了公司表現、公司行為，以及產業所衍生的問題。研究發現產業的狀態，公司所擁有的資源，與正式和非正式的制度錯中交雜的影像了產業間的行為與競爭程度，所以管理者應該避免過度專注於某一層面的策略，他們應該在擬定策略時考慮到策略管理中的產業基礎理論、資源基礎理論、與制度基礎理論。 / The trucking industry has been a major contributor to Taiwan’s economy for decades. Previous research concerning strategic management practiced in the industry, while insightful, did not pay enough attention to the specific commodity primarily carried by trucking companies. The generalization that all trucking companies carry the same commodity neglects the fact that competitive intensity varies considerably within the industry depending on the commodity carried. Consequently, many phenomenons could not be explained using frameworks from previous researches. This study concentrates on trucking companies primarily carrying steel and extends various disciplines from the strategic management literature to the trucking industry. Using the qualitative method of case study, this research attempts to understand the underlying drivers of firm performances and behaviors in addition to challenges faced by the industry. The findings suggest that industry conditions, firm resource portfolio, and formal and informal institutions collectively affect the behaviors and competition in the industry, therefore managers should avoid focusing on a single strategy and bear in mind the industry-based view, the resource-based view, and the institution-based view.

83 p. / Submitted by Santiago Fabio (fabio.ssantiago@hotmail.com) on 2012-12-19T19:35:24Z No. of bitstreams: 1 88.pdf: 1431314 bytes, checksum: e77a88c490348af714e77405775135f0 (MD5) / Made available in DSpace on 2012-12-19T19:35:24Z (GMT). No. of bitstreams: 1 88.pdf: 1431314 bytes, checksum: e77a88c490348af714e77405775135f0 (MD5) Previous issue date: 2011 / A relação simbiótica entre o Estado brasileiro e a Petrobras antecede a própria criação da empresa. Assim como o ano de 1997 marcou a quebra do monopólio estatal sobre as atividades da indústria em questão, o ano de 2003 representa a mudança drástica das atitudes do governo frente à maior empresa do país. Este relacionamento chegou a tal ponto que, recentemente, por ocasião das discussões sobre o novo marco regulatório da indústria do petróleo, representantes da Petrobras fizeram parte das discussões, junto com alguns ministérios e a ANP, que resultaram na proposta de alteração do modelo regulatório para o setor. Em vista do exposto, é de relevância científica conhecer a atuação da Petrobras na reforma do marco regulatório do Pré-sal, à luz das perspectivas da análise estratégica. Mais ainda, identificar se os resultados alcançados com o novo marco regulatório foram fruto de ação intencional da empresa ou apenas reações a provocações externas (atuação do Governo Federal, por exemplo). Com base nas considerações iniciais, o objetivo geral do trabalho foi analisar em que medida os fatores institucionais, os fatores internos (recursos da firma) ou os fatores ligados à indústria moldaram a participação da Petrobras no processo de elaboração da proposta de alteração do novo marco regulatório (Projetos de Lei n. 5.938 a 5.941, 2009). Pretendeu-se investigar, igualmente, quais desses fatores se sobressaíram nas mudanças e na readequação das regras do jogo. Este trabalho argumenta, fundamentado nos resultados, que a participação da Petrobras nos trabalhos de elaboração da proposta de mudança no marco regulatório do setor foi viabilizada pela confluência de fatores institucionais (IBV) e fatores internos à firma (RBV). O presente estudo mostrou-se como oportunidade de aprofundar os conhecimentos sobre o relacionamento entre a Petrobras e Governo, de identificar e melhor conhecer aspectos pontuais da experiência regulatória brasileira, assim como testar a aplicabilidade das perspectivas estratégicas na análise de situações concretas da realidade organizacional. / Salvador

Thesis (MA (Psychology))--University of Stellenbosch, 2005. / ENGLISH ABSTRACT: Sexual relationships in the psychotherapeutic setting have always been regarded as unethical and sexual attraction between therapist and client has generally proved to be awkward and anxiety provoking for those involved. Although research indicates that these relationships do occur, and that sexual feelings between therapists and clients are not infrequent, there is little conceptual clarity on the dynamics thereof. Consequently, the available guidelines and ethical rules regulating such sexual contact generally take the form of “thou shalt not…” and provide limited assistance to therapists in managing such situations in a manner that protects the integrity of the therapeutic relationship. This review assumes the presence of the psychodynamic phenomenon of transference in all psychotherapeutic relationships, and constructs sexual attraction and contact as the product of the sub-concept of erotic transference. Against this background, the review presents the dynamics of erotic transference in terms of its nature, impact and management. On this basis, current ethical codes and training issues are reviewed, guidelines for proper prevention and management are suggested and important directions for future research are identified.

I will look at what impact big data have had on the managerial strategic decisions in the food and beverage industry. This in order to understand the complexity and theory of organizational strategic management, an effort to define the contemporary strategic theory into a holistic conceptual model is done through a literature review on organizational strategy. This literature explicitly proposes four distinctly different types of strategies that management need to consider in the organizational context. Namely, long-term strategy, internal business strategy, external corporate strategy, and competitive strategy. The study analyzed the food and beverage industry over a decade (2005-2014), where the three of the largest actors in the industry were selected, Nestlé S.A, PepsiCo Inc, and Unilever. The choice of method was content analysis, where three structured categorization matrixes were developed which each analyzed parts of the annual reports. The study propose the role of big data as a strategic tool for managerial decision from a theoretical standpoint. The content analysis show that hypothesis 1, could be confirmed, big data have an impact on all the proposed four managerial strategic decisions. Second hypothesis could not be confirmed, since decentralization does only occur for one of the organizations, but increased external environment turbulence could be concluded for the industry in general. The third hypothesis could be confirmed, which show that there is an increase in individualization due to increased customer involvement and demand. The analysis discovered three distinct time periods during the last decade, namely pre- economic instability period (2005-2007), economic instability period (2008-2011) and finally the post-paradigm period (2012-2014). Where the year 2011 was the most turbulent in terms of economy and technology for the industry. The study clearly show that customers are now involved in the production process, customers are co-creators of the products. There is now a two-way communication and increased social responsibility awareness. This study shows that the old traditional approach of looking at markets in order to position yourself to stay competitive are obsolete as this study predicted. customers demand to be a part of the organizational culture. This conclude that big data is an important tool for all strategic managerial decisions.

The purpose of the study has been, by adopting a view of life and a learning perspective, to reach an understanding of the way in which cancer patients in a palliative care context understand and cope with their existential life situation. I asked the following questions: 1) How does their personal view of life influence the patients’ understanding and coping with the illness and existential life situation? 2) What existential questions are central to the patients? 3) What is personal learning all about? 4) What prerequisites are important for fostering the patients’ personal learning? Interviews focusing on narratives were conducted with ten patients who have an incurable cancer disease. The interviews were taped and transcribed into texts. A hermeneutic method was applied to understand the content and import of the patients’ narratives. The results show that the patients achieve closure, which involves them making reassessments, adapting their life to the illness, being reconciled with themselves and with their relation to their surroundings. It is also about them wishing to bequeath a legacy and hand down desirable qualities, values and merits for future generations. Taking this view of life as their basis, the patients interpret their illness, existential questions and life situation, and structure their existence so as to make it comprehensible and meaningful. Life narratives can serve as a tool in enabling caregivers to identify patients’ existential questions, view of life, learning requirements and the way they make sense of things (”meaning-making”). By means of view of life support counselling caregivers can identify the patients’ personal ideas, values and support their needs. The patients can reach an awareness of their personal view of life. Reappraising and developing this can be viewed as a form of perspective shift or learning.

Three Dimensional Video (3DV) has become increasingly popular with the success of 3D cinema. Moreover, emerging display technology offers an immersive experience to the viewer without the necessity of any visual aids such as 3D glasses. 3DV applications, Three Dimensional Television (3DTV) and Free Viewpoint Television (FTV) are auspicious technologies for living room environments by providing immersive experience and look around facilities. In order to provide such an experience, these technologies require a number of camera views captured from different viewpoints. However, the capture and transmission of the required number of views is not a feasible solution, and thus view rendering is employed as an efficient solution to produce the necessary number of views. Depth-image-based rendering (DIBR) is a commonly used rendering method. Although DIBR is a simple approach that can produce the desired number of views, inherent artifacts are major issues in the view rendering. Despite much effort to tackle the rendering artifacts over the years, rendered views still contain visible artifacts. This dissertation addresses three problems in order to improve 3DV quality: 1) How to improve the rendered view quality using a direct approach without dealing each artifact specifically. 2) How to handle disocclusions (a.k.a. holes) in the rendered views in a visually plausible manner using inpainting. 3) How to reduce spatial inconsistencies in the rendered view. The first problem is tackled by an edge-aided rendering method that uses a direct approach with one-dimensional interpolation, which is applicable when the virtual camera distance is small. The second problem is addressed by using a depth-based inpainting method in the virtual view, which reconstructs the missing texture with background data at the disocclusions. The third problem is undertaken by a rendering method that firstly inpaint occlusions as a layered depth image (LDI) in the original view, and then renders a spatially consistent virtual view. Objective assessments of proposed methods show improvements over the state-of-the-art rendering methods. Visual inspection shows slight improvements for intermediate views rendered from multiview videos-plus-depth, and the proposed methods outperforms other view rendering methods in the case of rendering from single view video-plus-depth. Results confirm that the proposed methods are capable of reducing rendering artifacts and producing spatially consistent virtual views. In conclusion, the view rendering methods proposed in this dissertation can support the production of high quality virtual views based on a limited number of input views. When used to create a multi-scopic presentation, the outcome of this dissertation can benefit 3DV technologies to improve the immersive experience.

La matérialisation de vues est une technique très utilisée dans les systèmes de gestion bases de données ainsi que dans les entrepôts de données pour améliorer les performances des requêtes. Elle permet de réduire de manière considérable le temps de réponse des requêtes en pré-calculant des requêtes coûteuses et en stockant leurs résultats. De ce fait, l'exécution de certaines requêtes nécessite seulement un accès aux vues matérialisées au lieu des données sources. En contrepartie, la matérialisation entraîne un surcoût de maintenance des vues. En effet, les vues matérialisées doivent être mises à jour lorsque les données sources changent afin de conserver la cohérence et l'intégrité des données. De plus, chaque vue matérialisée nécessite également un espace de stockage supplémentaire qui doit être pris en compte au moment de la sélection. Le problème de choisir quelles sont les vues à matérialiser de manière à réduire les coûts de traitement des requêtes étant donné certaines contraintes tel que l'espace de stockage et le coût de maintenance, est connu dans la littérature sous le nom du problème de la sélection de vues. Trouver la solution optimale satisfaisant toutes les contraintes est un problème NP-complet. Dans un contexte distribué constitué d'un ensemble de noeuds ayant des contraintes de ressources différentes (CPU, IO, capacité de l'espace de stockage, bande passante réseau, etc.), le problème de la sélection des vues est celui de choisir un ensemble de vues à matérialiser ainsi que les noeuds du réseau sur lesquels celles-ci doivent être matérialisées de manière à optimiser les coût de maintenance et de traitement des requêtes.Notre étude traite le problème de la sélection de vues dans un environnement centralisé ainsi que dans un contexte distribué. Notre objectif est de fournir une approche efficace dans ces contextes. Ainsi, nous proposons une solution basée sur la programmation par contraintes, connue pour être efficace dans la résolution des problèmes NP-complets et une méthode puissante pour la modélisation et la résolution des problèmes d'optimisation combinatoire. L'originalité de notre approche est qu'elle permet une séparation claire entre la formulation et la résolution du problème. A cet effet, le problème de la sélection de vues est modélisé comme un problème de satisfaction de contraintes de manière simple et déclarative. Puis, sa résolution est effectuée automatiquement par le solveur de contraintes. De plus, notre approche est flexible et extensible, en ce sens que nous pouvons facilement modéliser et gérer de nouvelles contraintes et mettre au point des heuristiques pour un objectif d'optimisation.Les principales contributions de cette thèse sont les suivantes. Tout d'abord, nous définissons un cadre qui permet d'avoir une meilleure compréhension des problèmes que nous abordons dans cette thèse. Nous analysons également l'état de l'art des méthodes de sélection des vues à matérialiser en en identifiant leurs points forts ainsi que leurs limites. Ensuite, nous proposons une solution utilisant la programmation par contraintes pour résoudre le problème de la sélection de vues dans un contexte centralisé. Nos résultats expérimentaux montrent notre approche fournit de bonnes performances. Elle permet en effet d'avoir le meilleur compromis entre le temps de calcul nécessaire pour la sélection des vues à matérialiser et le gain de temps de traitement des requêtes à réaliser en matérialisant ces vues. Enfin, nous étendons notre approche pour résoudre le problème de la sélection de vues à matérialiser lorsque celui-ci est étudié sous contraintes de ressources multiples dans un contexte distribué. A l'aide d'une évaluation de performances extensive, nous montrons que notre approche fournit des résultats de qualité et fiable. / View selection is important in many data-intensive systems e.g., commercial database and data warehousing systems to improve query performance. View selection can be defined as the process of selecting a set of views to be materialized in order to optimize query evaluation. To support this process, different related issues have to be considered. Whenever a data source is changed, the materialized views built on it have to be maintained in order to compute up-to-date query results. Besides the view maintenance issue, each materialized view also requires additional storage space which must be taken into account when deciding which and how many views to materialize.The problem of choosing which views to materialize that speed up incoming queries constrained by an additional storage overhead and/or maintenance costs, is known as the view selection problem. This is one of the most challenging problems in data warehousing and it is known to be a NP-complete problem. In a distributed environment, the view selection problem becomes more challenging. Indeed, it includes another issue which is to decide on which computer nodes the selected views should be materialized. The view selection problem in a distributed context is now additionally constrained by storage space capacities per computer node, maximum global maintenance costs and the communications cost between the computer nodes of the network.In this work, we deal with the view selection problem in a centralized context as well as in a distributed setting. Our goal is to provide a novel and efficient approach in these contexts. For this purpose, we designed a solution using constraint programming which is known to be efficient for the resolution of NP-complete problems and a powerful method for modeling and solving combinatorial optimization problems. The originality of our approach is that it provides a clear separation between formulation and resolution of the problem. Indeed, the view selection problem is modeled as a constraint satisfaction problem in an easy and declarative way. Then, its resolution is performed automatically by the constraint solver. Furthermore, our approach is flexible and extensible, in that it can easily model and handle new constraints and new heuristic search strategies for optimization purpose. The main contributions of this thesis are as follows. First, we define a framework that enables to have a better understanding of the problems we address in this thesis. We also analyze the state of the art in materialized view selection to review the existing methods by identifying respective potentials and limits. We then design a solution using constraint programming to address the view selection problem in a centralized context. Our performance experimentation results show that our approach has the ability to provide the best balance between the computing time to be required for finding the materialized views and the gain to be realized in query processing by materializing these views. Our approach will also guarantee to pick the optimal set of materialized views where no time limit is imposed. Finally, we extend our approach to provide a solution to the view selection problem when the latter is studied under multiple resource constraints in a distributed context. Based on our extensive performance evaluation, we show that our approach outperforms the genetic algorithm that has been designed for a distributed setting.