Environmental management has become a fundamental concern for organizations, customers, and citizens, yet there are few environmental management metrics that guide toward environmental excellence. This research presents a detailed qualitative model of the evolution of environmental management of a firm through the definition of maturity stages and causal influences. The model provides a technique for assessing maturity stages as well as steps that can assist or negate their ecological advancement. The causal-based classification helps companies to understand the need for nontechnical elements in the process, such as top management commitment. This article also contributes to the literature on integrative multimethod research, as it brings together several approaches to environmental management.

System dynamics requires the intense use of qualitative data and human judgment in all stages of model development. Most approaches to the formal inclusion of qualitative data have been employed with the purpose of knowledge elicitation during the conceptualization or formulation stages of modeling. In recent years, a small community of practice has explored the creation of interviewing tools to assess system dynamics models. We present the disconfirmatory assessment interview as a specific technique to be used during model assessment. This paper explores the use of interviews as a research and knowledge acquisition technique and more fully describes disconfirmatory assessment as an interview strategy. Based on a comparison of four applications of disconfirmatory interviews as a tool to assess system dynamics models, we present seven features that should form the core of the disconfirmatory interview. Copyright © 2012 System Dynamics Society.

Small ruminants are important assets in several regions of the world. They account for more than half of the domesticated ruminants. Despite the growth in goat production in the world (more than 2% per ye. ar), research related to goat production is less than desired. One underused but potentially valuable approach for research on small ruminants is sim ulation modelling. Models of the components of small ruminant systems can enhance the financial returns and reduce negative environmental impacts. These models can be used to assess many dimensions of small ruminant production, from rumen dynamics to economic policies designed to support small ruminant production. Understanding the nutrition, pro duction, and economic policy feedback signals and planning ahead is crucial to build a robust and integrated production activity that can be managed under different production scenarios. System Dynamics (SD) is a computer-aided modelling methodology that can be used to perform policy analysis and decision support system (DSS) applied to dynamic problems arising in complex social, managerial, economic. or ecological dynamic systems characterized by interdependence, mutual interaction, information feedback. and circular causality. SD can be used as a modelling tool to aggregate knowledge to solve d ifferent types of problems that have a limited scope to a specific location or have broad trends of applications across locations and areas of science. Important issues of broad application include the bearings ofanimal production in the climate change and the impacts of climate change in animal production, alternative production scenarios ofanimal and crop integra tion, associations between animal production and business (economics, marketing). The trend of increasing small ruminants in tropical and subtropical regions and an increasing pressure on tropical and subtropical livestock systems to produce food, to feed livestock. and to produce energy crops warrants the development ofDSS to address issues such as what is the "real" benefits of livestock. the negative impacts livestock can have on greenhouse-gas emissions and the environment, and the effects ofclimate change on livestock systems.

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