Thesis (M.S.)--University of Wisconsin--Madison, 1984. / Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references.

Thesis (Ph. D.)--Ohio State University, 2005. / Title from first page of PDF file. Document formatted into pages; contains xiv, 107 p.; also includes graphics. Includes bibliographical references (p. 90-97). Available online via OhioLINK's ETD Center

In the global market in which many countries still struggle with the consequences of the financial crisis of 2008, many companies come to the conclusion that growth can be achieved through international marketing activities. This attitude poses big challenges to organization that want to enter the international arena, involving deciding which markets should be entered, how this should be done, through which marketing program and finally how to organize the marketing. International expansion poses risks as well as opportunities to businesses, and it is crucial for the organization to thoroughly evaluate the market in order to take a decision about the market entry strategy. Based on the case studies of Credit Suisse and UBS entering the Brazilian market, this thesis sought to study how Swiss banks entered the country and with what results. Based on an extensive literature review, the two cases have been presented and it was possible to demonstrate that great cultural difference and tight regulation suggest the entry through a merger or an acquisition.

This study was directed to improve our understanding of the ecology of Swiss needle cast (SNC) of Douglas-fir, a disease that produces extensive damage to forests and plantation in the coastal region of Oregon and Washington. A disease prediction model for the coastal area of Oregon was built by establishing the relationship between the distribution of disease severity and the environment. Currently available methods of determining the distribution of SNC were analyzed, and the possibility of mapping the disease using Landsat TM satellite images was explored. Two types of regression approaches were used to study the relationship between disease severity and climate, topography, soil and forest stand characteristics. Although both types provided useful information and insight, the multiple regression approach was chosen over the regression tree analysis to build the model, due to its capacity to produce a continuous prediction response. Fog occurrence, precipitation, temperature, elevation and slope aspect, were the variables that contributed to explain most of the disease severity variability. Findings agree with and formalize our previous understanding of the ecology of SNC: cool and wet conditions in summer appear to increase disease severity. When the model was applied to past climate conditions, retrospective predictions suggest that changes in climate in the last two decades could help to explain the observed recent regional increase in SNC disease severity. The resulting model was used to construct a disease prediction map. This map showed an accuracy equivalent to the currently available SNC aerial survey. The prediction model, however, is able to produce a continuous prediction surface, more suitable for testing and appropriate for assisting in disease management and research. A strong relationship between mature stand canopy defoliation and the Landsat TM indices greenness and brightness, indicates that it is possible to use satellite imagery to map SNC. In contrast, young stands showed high variability, most likely due to the relatively high proportion of exposed understory vegetation. The possibility of mapping stand defoliation is of great importance because this symptom can be directly linked to tree growth and forest productivity. Satellite imagery can be used in future and in retrospective disease mapping. / Graduation date: 2002

Thesis (Ph. D.)--Oregon State University, 2003. / Typescript (photocopy). Includes bibliographical references. Also available on the World Wide Web.

Bachelor-Arbeit Univ. St. Gallen, 2004.

Master-Arbeit Univ. St. Gallen, 2006.

Bachelor-Arbeit Univ. St. Gallen, 2007.

Master-Arbeit Univ. St. Gallen, 2008.

Bachelor-Arbeit Univ. St. Gallen, 2008.