Models of strategic behavior are usually too complex to conduct large scale analyses, and frequently rely on accurate descriptions of the strategic environment, or unrealistic assumptions which render empirical studies very sensitive to misspecification. This dissertation relates game-theoretic frameworks to models of causality inference and thus provides a reliable method to identify price leadership. Therefore, causal models can be used to study large sets of data without imposing strategic behavior a priori. A case study is provided by analyzing the supply chain relationship among Dominick's Finer Foods and its suppliers. Although our data required aggregation, this empirical analysis successfully determined causal patterns for 60 percent of our sample. Of these price leaderships, 70 percent elicit Manufacturer Stackelberg relationships which tend to be associated with manufacturers that hold big market shares, 25 percent elicit Retailer Stackelbergs which seem to be associated with the biggest retailer margin profits, and only 5 percent elicit a monopolistic retailer with vertical coordination. These results agree with observations made by other authors and the market structure of the 1990's. Moreover, the strategic relationship among the suppliers is also studied. Interestingly, the dominant firms tend to isolate themselves from the price leadership, whereas the second largest firms seem to become price leaders. Our studies agree with the market literature as well. In particular, we find price leadership in a firm which was identified as a low cost leader. Finally, we discovered that the private label does not lead any firm's price unless this firm is the provider of a generic brand.

At the new knowledge economy era, knowledge and human have become the important asset in the enterprise. The enterprise looks upon knowledge management and e-leaning as important development. Progressing in information technology, it provides the best environment to permit enterprise putting much of knowledge and resource in internet. Internet can spread rapidly without limit and reduce the learning time and distance, as less as we can not feel the time and distance exist. E-learning is very important in educational discipline of enterprise and should be a learning fashion in future. In the commercial competition environment that we pay much attention to cost and performance, enterprise must reduce learning cost and enhance learning effectiveness for e-learning development in the enterprise. The purpose of this study is to understand the relationship among of self-directed learning readiness, computer attitude and e-learning effectiveness. The procedures of this study are to adopt the literature analysis and empirical study. First, to build the theoretical basis we must analyze the relative and practical research of the elder learner of domestic and foreign scholars, including reference of the theory and relative practical research of the e-learning, learning effectiveness, self-directed learning readiness and computer attitude. Second, we developed the research questionnaire according to the theoretical basis. Our study object is the employees who participate in e-learning at Taiwan Power Company and we attain the 401 effective samples. Putting the data into the statistical analysis, we induce the research result. Finally, according to the research result we achieve the following eight important conclusions. First, business employees who spent much time on surveying internet every week have higher self-directed learning readiness. Second, with the different individual varies such as less age, higher education degree, fewer service seniority, spending much time on surveying internet every week, the computer attitude is higher. Third, there are no difference for the trainers who have different individual varies on e-learning effectiveness. Fourth, both of the self-directed learning readiness and computer attitude are positive relations for the trainers. Fifth, both of the self-directed learning readiness and e-learning effectiveness are positive relations for the trainers. Sixth, both of the computer attitude and e-learning effectiveness are positive relations for the trainers. Seventh, continuing to love learning of self-directed learning readiness is the most predictable to the computer attitude for the trainers. Eighth, independant learning of self-directed learning readiness is the most predictable to the e-learning effectiveness for the trainers.

This paper uncovers the relationship between stock markets and exchange rates in seven countries by employing stable aggregate currency (SAC) for the period of 1973- 2004. Ordinary Least Squares (OLS) regression, time series methods, and directed acyclic graphs are applied to the daily data on stock market indices and exchange rates. The findings based on regression analysis show that exchange rate exposure of stock markets is statistically significant when stock indexes in SAC are used. Using an innovation accounting technique, we confirm that stock markets and exchange rates are correlated. Moreover, in most cases stock markets are more exogenous than foreign currency markets, which explains the relatively high percentage of uncertainty in the foreign currency market. Overall, SAC-based models give relatively more accurate and robust results than those which employ stock indices in local currencies, because it is more accurate to convert both variables into the same denominator.

The purpose of this study is to examine the relationship between self-directed learning readiness and the cultural values of individualism/collectivism in two sample groups drawn from different cultures. The research design used for this study was descriptive and correlational in nature. The target population for this study consisted of two sample groups: Korean and American college students who seek teacher certification in the field of agriculture. Data were collected using a web-formatted questionnaire. Results were computed statistically, including the means, standard deviations, effect size, independent sample t-test, one-way ANOVA, bivariate correlations, and multiple regression. Findings indicated that in a hierarchical multiple regression analysis, scores for the Self-Directed Learning Readiness Scale (SDLRS) (R2 = .03, adjusted R2 = .01, p = .30) in Step 1 was not statistically significantly related by gender, student classification, and GPA. Gender, student classification, and GPA accounted for only 3% of the variance and the three beta weights for the gender, student classification, and GPA variables were not statistically significantly related to the SDLRS. However, scores for SDLRS (R2= .34, adjusted R2 = .30, ¨R2 = .31, p =.00) in Step 2 was statistically significantly related by gender, student classification, GPA, nationality, vertical individualism (VI), horizontal individualism (HI), vertical collectivism(VC), and horizontal collectivism(HC). This model accounted for 34 % of the variance in the SDLRS (R2 change = .31). It appears that nationality, VI, HI, VC, and HC accounted for a further 31% of the variance. However, in Step 1, the gender, student classification, and GPA variables did not account for a significant amount of variance in Step 2. The beta weight for nationality and VI variables were not statistically significantly related to the SDLRS (E = -0.15, t = -1.67, p = .10; E = 0.01, t = 0.10, p = .92, respectively). However, the beta for the HI variable was statistically significant and positive (E = 0.40, t = 4.31, p = .00). The beta for the VC variable also was statistically significant and positive (E = 0.20, t = 2.12, p = .04). The beta for the HC variable also was statistically significant and positive (E = 0.21, t = 2.19, p = .03). These findings indicated that if HI, VC, and HC attitudes are high, the SDLRS scores tend to be high. That is, differences in the students’ SDLRS can be best explained through HI, VC, and HC among the cultural values of individualism/collectivism.

Research indicates that planning helps consumers in their goal pursuit, but little is known about how and when such beneficial effects change with regulatory fit – fit between consumers’ regulatory orientation and goal pursuit means. Results of three studies show that 1) the benefits of forming implementation intentions, or planning details such as when, where, how, and how long to perform goal-directed actions and attain consumer goals are stronger in regulatory nonfit situations (study 1), and 2) implementation intentions can be viewed as goal pursuit means and be part of the regulatory fit formulation to show the “value from fit” effect on instrumental behavior and goal attainment (studies 2 and 3). Specifically, study 1 showed that consumers in regulatory nonfit situations are more likely to perform instrumental behavior and have higher goal attainment by forming implementation intentions than consumers in regulatory fit situations. This research also provides empirical evidence of the notion of “value from fit” to the regulatory fit literature, that is, the mediating role of motivation intensity in the regulatory fit-instrumental behavior and regulatory fit-goal attainment linkages in studies 2 and 3.

Thesis (Ph. D.)--University of Washington, 2001. / Vita. Includes bibliographical references (leaves 107-114).

Thesis (Ph. D.)--University of Washington, 2003. / Vita. Includes bibliographical references (leaves 141-164).

Thesis (M.S. in Systems Technology)--Naval Postgraduate School, June 2003. / Thesis advisor(s): Orin Marvel, Curt Schleher. Includes bibliographical references (p. 71-74). Also available online.

Chlorate and perchlorate pollutions have become a problem in the environment in the last decades. Studies have shown that some bacteria can degrade these substances into unharmful substances such as chloride and molecular oxygen. One of these chlorate degrading bacteria is Ideonella dechloratans that uses chlorate reductase and chlorite dismutase to process chlorate. In the promoter gene sequence of chlorite dismutase there might be regulator sequences such as fumarate and nitrate reductase regulator (FNR) and aerobic respiration control protein (ArcA) that might control the transcription of this enzyme. This promoter sequence was placed in a pBBR1MCS-4-LacZ reporter vector and the possible regulatory sequences were changed through site-directed mutagenesis and tested on activity through beta-galactosidase assays. The changes in the FNR binding sequence gave beta-galactosidase activity that was close to a negative control which might give conclusions that either FNR has an important role or an important part of the promoter was hit. The changes in the ArcA regulator binding sequence did not give such big differences and no certainty can be given if this made important changes to the promoter.

Altering the substrate specificity of proteases is a powerful process with possible applications in many areas of therapeutics as well as proteomics. Although the field is still developing, several proteases have been successfully engineered to recognize novel substrates. Previously in our laboratory, eight highly active OmpT variants were engineered with novel catalytic sites. The present study examined the roles of several residues surrounding the active site of OmpT while attempting to use rational design to modulate fine specificity enough to create a novel protease that prefers phosphotyrosine containing substrates relative to sulfotyrosine or unmodified tyrosine residues. In particular, a previously engineered sulfotyrosine-specific OmpT variant (Varadarajan et al., 2008) was the starting point for rationally designing fifteen new OmpT variants in an attempt to create a highly active protease that would selectively cleave phosphotyrosine substrates. Our design approach was to mimic the most selective phosphoryl-specific enzymes and binding proteins by increasing positive charge around the active site. Sulfonyl esters have a net overall charge of -1 near neutral pH, while phosphate monoesters have a net overall charge of -2. Selected active site residues were mutated by site-directed mutagenesis to lysine, arginine, and histidine. The catalytic activities and substrate specificities of each variant were characterized. Although several variants displayed altered substrate specificity, none preferred phosphotyrosine over sulfotyrosine containing peptides. Taken together, our results have underscored the subtle nature of protease substrate specificity and how elusive it can be to engineer fine specificity. Apparently, phosphotyrosine specific variants were not possible within the context of our starting sulfotyrosine specific OmpT derivative mutated to have single amino acid changes chosen on the basis of differential charge interactions. / text