In this insightful study, Bockja Kim evaluates J.N. Findlay's philosophy of religion in order to determine whether it provides a basis for the positive construction of moral philosophy. In this effort, Kim relies heavily on Hegel's distinction between bad and true infinity to interpret Findlay's philosophical thought. Kim argues that the significance of Findlay's moral philosophy lies in its attempt to construct a method for positive moral reflection by redressing the extreme negative philosophies of transcendentalism and existentialism. Findlay's philosophy thus (...) effectively counters the negativity of moral skepticism and mysticism, both of which tend to neglect moral philosophy and ethics. In addition, Kim explores how Findlay's philosophy may promote inter-faith dialogue between religious traditions of the East and West. Philosophers and religious scholars with interests in Christianity and Buddhism will find this thought-provoking work enlightening. (shrink)
Abstract Bentham's utilitarianism, although castigated by Marx as a shopkeeper's rhetoric, maintained an invincible sway over its epigones particularly in their argumentations on moral and political matters. With the disappearance of the free market in the classical sense, however, it is rather J. S. Mill's revised hedonism than the orthodox Benthamite doctrine that has provided more interesting issues for moral and political contemplation. The duality of Mill's theoretical character ? liberal as well as authoritarian ? originated from his differentiation of (...) qualities in the essentially quantitative concept of utilitarian ?pleasure?. This paper concerns itself with the negative and unsuccessful aspects of Mill's deliberations. Mill developed a theory of moral rule for the purpose of generalizing high quality pleasures to society at large. Nevertheless, according to this paper, he ended up leaving us with uncertainty regarding how the ignorant mass could be led to higher quality pleasures. (shrink)
This study investigated the perceptions and attitudes of ICU nurses towards the ‘do not resuscitate’ (DNR) decision and changes in their nursing activities after implementation of the DNR decision in South Korea. A data survey was conducted in South Korea between August and October 2008, with a convenience sample of 252 ICU nurses who had more than one year of clinical experience. The data were collected via a self-administered questionnaire. Most of the nurses perceived the necessity of the DNR decision (...) in cases where there would be no chance of patient recovery despite massive efforts. Very few of the nurses' activities changed, either passively or actively, after implementation of the DNR decision. Moreover, the findings of this research provide suggestions for the future direction of the DNR decision and ethical nursing guidelines in South Korea. Further investigations are needed for the development of decision-making skills and intervention guidelines for end-of-life nursing. (shrink)
Does environmental management help foreign firms outperform local firms in emerging economies? While existing research suggests that environmental management may or may not benefit firm performance, the question is particularly under-investigated in the emerging economy context. Using the data on foreign investment into China, this study explores whether foreign firms that are under greater environmental pressure, at home or at the host, outperform comparable local firms in an emerging host country. In making this comparison, we use propensity-score matching and a (...) difference-in-differences approach to handle the problem of endogeneity inherent in comparing the performances of foreign versus local firms. We find empirical support that foreign firms perform better than local firms when they are under high environmental pressure in the emerging host country, and this result is driven by the foreign firms originating from countries with high environmental pressure. (shrink)
This article investigates the moderating effects of organizational social consciousness on the natural environmental competency and innovativeness relationship. Organizational social consciousness reflects the organization’s awareness of its place and contribution to the larger system in which it exists and is developed through an organization’s social responsibility, ethics, culture, corporate values, and the view of its stakeholders. Through our study of key strategic decision makers from organizations located in the USA, we operationalize organizational social consciousness and demonstrate the efficacy of this (...) construct in relation to the organizational-level constructs of environmental management competency and innovativeness. Our results reveal that organizational social consciousness positively strengthens the natural environmental competency to organizational innovativeness relationship. (shrink)
Automated seismic facies classification using machine-learning algorithms is becoming more common in the geophysics industry. Seismic attributes are frequently used as input because they may express geologic patterns or depositional environments better than the original seismic amplitude. Selecting appropriate attributes becomes a crucial part of the seismic facies classification analysis. For unsupervised learning, principal component analysis can reduce the dimensions of the data while maintaining the highest variance possible. For supervised learning, the best attribute subset can be built by selecting (...) input attributes that are relevant to the output class and avoiding using redundant attributes that are similar to each other. Multiple attributes are tested to classify salt diapirs, mass transport deposits, and the conformal reflector “background” for a 3D seismic marine survey acquired on the northern Gulf of Mexico shelf. We have analyzed attribute-to-attribute correlation and the correlation between the input attributes to the output classes to understand which attributes are relevant and which attributes are redundant. We found that amplitude and texture attribute families are able to differentiate salt, MTDs, and conformal reflectors. Our attribute selection workflow is also applied to the Barnett Shale play to differentiate limestone and shale facies. Multivariate analysis using filter, wrapper, and embedded algorithms was used to rank attributes by importance, so then the best attribute subset for classification is chosen. We find that attribute selection algorithms for supervised learning not only reduce computational cost but also enhance the performance of the classification. (shrink)
In this paper we introduce the concept of d-fuzzy function which generalizes the concept of fuzzy subalgebra to a much larger class of functions in a natural way. In addition we discuss a method of fuzzification of a wide class of algebraic systems onto [0, 1] along with some consequences.