Aim: This study aims to explore bank selection criteria employed by international students in Gavle, Sweden. Methodology: Data was collected through semi-open structure questionnaire. The researchers do sampling a total of 101 students in the University of Gavle. After data collection through questionnaire, data was analyzed through SPSS19 software. A non-probabilistic convenience sampling was employed and data was analyzed to be refined and reduced in a manageable way. Conclusion: There are four factors which are the main reasons in influencing international students choosing banks in Sweden. This study reveals that “Good service provision”, “assurance”, “value added service”, “convenience and security” have significant influence on the bank selection decision of international students. There is no difference between ethnicity in influencing factors. Besides, different genders have same influencing factors as the four factors in this research.   Implications and value of this research: This research steps further in the investigation about customer bank selection behavior. It is the research that focuses on individual customers of banks especially in Sweden. Furthermore, the results of this research can be beneficial for banks to identify appropriate strategies to attract and retain international students. Suggestion for future studies: The international students are banks’ potential customers in the long run. Because the results of this study are only based on customer’s perceptions, it could be an interesting research area for future researchers to investigate the correspondence between and service providers’ and consumers’ perceptions. In addition, because one of our study limitations was that the research only conducted in one city: Gavle, it would be interesting to investigate other Swedish universities international students for the same topic.

The "Den Mother" marten habitat quality models were created to provide insight into American marten habitat selection behavior and to promote the recovery of the Newfoundland marten (Martes americana atrata) population. Although these objectives are typical of most wildlife habitat modeling projects, the marten's idiosyncratic habitat ecology and apparently intractable conflicts associated with timber harvesting motivated a unique, process-oriented approach to appraising landscapes. The Den Mother models used optimal decision-making principles to synthesize critical resources (den sites and foraging opportunities) and constraints (adverse thermal situations and exposure to predations) into a single hierarchical framework. The resulting spatially explicit, combinatorial optimization models depend on a complex array of interacting assumptions. However, in mechanistic models, explicit assumptions provide the means by which insights are gained. For example, manipulating prey population parameters provided a clear demonstration of how resource conditions confound the relationship between landscape configuration and marten fitness, thereby challenging conventional definitions of habitat based on vegetation alone. Likewise, the models' sensitivity to spatial circumstances argued against the concept of an "optimal landscape," a traditional objective for wildlife habitat analyses. Although the model analyses did not refute the conventional wisdom that marten are strongly associated with (and may depend on) large contiguous blocks of senescing and defoliated forests, they did suggest that the marten is an opening-sensitive, rather than coresensitive, species. The models also suggested new avenues for research addressing marten den site selection, predator avoidance behavior, foraging efficiency, and space use strategies, as well as new techniques for assessing the trade-offs that govern marten habitat selection behavior. Finally, the models also suggested new guidelines for promoting marten recovery in an adaptive management context, including recommendations for placing artificial resting structures; creating favorable landscape mosaics; managing ephemeral resources such as transition old-growth forests, defoliation, and coarse woody debris; and developing alternative, competing management scenarios that address both forest and prey conditions simultaneously.