Postcards from the Edge: A Review of the Business and Environment Literature

Environmental issues, while of growing interest, have been outside the main focus of business scholarship. This position on the periphery may have been a good thing. It allowed scholars of business and the environment to consider unusual theories and evaluate overlooked phenomenon. In doing so, they created a body of research that provides new insights on two topics of mainstream interest -- the sources of competitive advantage and the origin and function of self-regulatory institutions.competitive advantage;business and environment;environmental issues

Postcards from the Edge: A Review of the Business and Environment Literature

Environmental issues, while of growing interest, have been outside the main focus of business scholarship. This position on the periphery may have been a good thing. It allowed scholars of business and the environment to consider unusual theories and evaluate overlooked phenomenon. In doing so, they created a body of research that provides new insights on two topics of mainstream interest -- the sources of competitive advantage and the origin and function of self-regulatory institutions

Contaminants of Emerging Concern: Reconsidering Our Paradigm of Water Pollution

In this senior thesis, I explore contaminants of emerging concern (CECs) and endocrine disrupting compounds (EDCs) and discuss the ways in which these novel contaminants defy traditional notions of pollution. I discuss the history and “emergence” of CECs and EDCs in scientific and public spheres and outline ongoing challenges to recognizing, prioritizing, and understanding the action of these contaminants. I position EDCs within the framework of environmental injustice and health disparities and suggest that these compounds could reinforce multigenerational health inequities. Finally, I perform a pilot analysis of the EDC bisphenol A (BPA) in Mt. Baldy Creek, the Los Angeles River, the Tijuana River, and tap water

A Physiologically Based System Theory of Consciousness

A system which uses large numbers of devices to perform a complex functionality is forced to adopt a simple functional architecture by the needs to construct copies of, repair, and modify the system. A simple functional architecture means that functionality is partitioned into relatively equal sized components on many levels of detail down to device level, a mapping exists between the different levels, and exchange of information between components is minimized. In the instruction architecture functionality is partitioned on every level into instructions, which exchange unambiguous system information and therefore output system commands. The von Neumann architecture is a special case of the instruction architecture in which instructions are coded as unambiguous system information. In the recommendation (or pattern extraction) architecture functionality is partitioned on every level into repetition elements, which can freely exchange ambiguous information and therefore output only system action recommendations which must compete for control of system behavior. Partitioning is optimized to the best tradeoff between even partitioning and minimum cost of distributing data. Natural pressures deriving from the need to construct copies under DNA control, recover from errors, failures and damage, and add new functionality derived from random mutations has resulted in biological brains being constrained to adopt the recommendation architecture. The resultant hierarchy of functional separations can be the basis for understanding psychological phenomena in terms of physiology. A theory of consciousness is described based on the recommendation architecture model for biological brains. Consciousness is defined at a high level in terms of sensory independent image sequences including self images with the role of extending the search of records of individual experience for behavioral guidance in complex social situations. Functional components of this definition of consciousness are developed, and it is demonstrated that these components can be translated through subcomponents to descriptions in terms of known and postulated physiological mechanisms

Employer Branding: What Makes a Firm a Desirable Place to Work

Mestrado em Gestão/MBAA new concerning is coming to human resource management: the way organizational branding can influence human resources to applied and be committed to enterprises. This application of branding to human resource management has been designate as "employer branding." In the present exploratory study the major objective is to understand the role of organizational reputation, organizational personality and tangible organizational attributes and manager's perception of enterprise attractiveness and commitment. Using an online survey on a 214 sample of Portuguese managers, they describe organizational reputation by emotional appeal and product and services characteristics. Work environment is also important. Organizational personality was characterized by being technical, hard working and secure. The most desirable tangible attributes on enterprise is money and work characteristics. Managers think that their enterprise believe that employees are important but the company don't spend a significant amount of money to keep their employees happy. Manager's main factor of commitment is loyalty and proud that they are part of the company. However they don't consider their company as being the best place to work

The SLIM (Social learning for the integrated management and sustainable use of water at catchment scale) Final Report

Background: SLIM stands for 'Socuak Learning for the Integrated Management and Sustainable Use of Water at Catchment Scale'. It is a multi-country research project funded by the European Commission (DG RESEARCH - 5th Framework Programme for research and technological development, 1998-2002). Its main theme is the investigation of the socio-economic aspects of the sustainable use of water. Within this theme, its main focus of interest lies in understanding the application of social learning as a conceptual framework, an operational principle, a policy instrument and a process of systemic change

Reintegrating Biology through the Nexus of Energy, Information, and Matter

Information, energy, and matter are fundamental properties of all levels of biological organization, and life emerges from the continuous flux of matter, energy, and information. This perspective piece defines and explains each of the three pillars of this nexus. We propose that a quantitative characterization of the complex interconversions between matter, energy, and information that compose this nexus will help us derive biological insights that connect phenomena across different levels of biological organization. We articulate examples from multiple biological scales that highlight how this nexus approach leads to a more complete understanding of the biological system. Metrics of energy, information, and matter can provide a common currency that helps link phenomena across levels of biological organization. The propagation of energy and information through levels of biological organization can result in emergent properties and system-wide changes that impact other hierarchical levels. Deeper consideration of measured imbalances in energy, information, and matter can help researchers identify key factors that influence system function at one scale, highlighting avenues to link phenomena across levels of biological organization and develop predictive models of biological systems

Engineering simulations for cancer systems biology

Computer simulation can be used to inform in vivo and in vitro experimentation, enabling rapid, low-cost hypothesis generation and directing experimental design in order to test those hypotheses. In this way, in silico models become a scientific instrument for investigation, and so should be developed to high standards, be carefully calibrated and their findings presented in such that they may be reproduced. Here, we outline a framework that supports developing simulations as scientific instruments, and we select cancer systems biology as an exemplar domain, with a particular focus on cellular signalling models. We consider the challenges of lack of data, incomplete knowledge and modelling in the context of a rapidly changing knowledge base. Our framework comprises a process to clearly separate scientific and engineering concerns in model and simulation development, and an argumentation approach to documenting models for rigorous way of recording assumptions and knowledge gaps. We propose interactive, dynamic visualisation tools to enable the biological community to interact with cellular signalling models directly for experimental design. There is a mismatch in scale between these cellular models and tissue structures that are affected by tumours, and bridging this gap requires substantial computational resource. We present concurrent programming as a technology to link scales without losing important details through model simplification. We discuss the value of combining this technology, interactive visualisation, argumentation and model separation to support development of multi-scale models that represent biologically plausible cells arranged in biologically plausible structures that model cell behaviour, interactions and response to therapeutic interventions