An Integrated Framework To Improve The Concept Of Resource Specialisation.

Resource specialisation, although a fundamental component of ecological theory, is employed in disparate ways. Most definitions derive from simple counts of resource species. We build on recent advances in ecophylogenetics and null model analysis to propose a concept of specialisation that comprises affinities among resources as well as their co-occurrence with consumers. In the distance-based specialisation index (DSI), specialisation is measured as relatedness (phylogenetic or otherwise) of resources, scaled by the null expectation of random use of locally available resources. Thus, specialists use significantly clustered sets of resources, whereas generalists use over-dispersed resources. Intermediate species are classed as indiscriminate consumers. The effectiveness of this approach was assessed with differentially restricted null models, applied to a data set of 168 herbivorous insect species and their hosts. Incorporation of plant relatedness and relative abundance greatly improved specialisation measures compared to taxon counts or simpler null models, which overestimate the fraction of specialists, a problem compounded by insufficient sampling effort. This framework disambiguates the concept of specialisation with an explicit measure applicable to any mode of affinity among resource classes, and is also linked to ecological and evolutionary processes. This will enable a more rigorous deployment of ecological specialisation in empirical and theoretical studies.

Bridging the gap between different statistical approaches: An integrated framework for modelling

This paper proposes a template for modelling complex datasets that integrates traditional statistical modelling approaches with more recent advances in statistics and modelling through an exploratory framework. Our approach builds on the well-known and long standing traditional idea of 'good practice in statistics' by establishing a comprehensive framework for modelling that focuses on exploration, prediction, interpretation and reliability assessment, a relatively new idea that allows individual assessment of predictions. The integrated framework we present comprises two stages. The first involves the use of exploratory methods to help visually understand the data and identify a parsimonious set of explanatory variables. The second encompasses a two step modelling process, where the use of non-parametric methods such as decision trees and generalized additive models are promoted to identify important variables and their modelling relationship with the response before a final predictive model is considered. We focus on fitting the predictive model using parametric, non-parametric and Bayesian approaches. This paper is motivated by a medical problem where interest focuses on developing a risk stratification system for morbidity of 1,710 cardiac patients given a suite of demographic, clinical and preoperative variables. Although the methods we use are applied specifically to this case study, these methods can be applied across any field, irrespective of the type of response.

Intrinsic and relational perspectives of relationship value: an integrated framework in buyer-supplier relationships

O relacionamento entre firmas vem sendo estudado como um fator que amplia os limites do valor criado pelas firmas individualmente, por meio da construção conjunta de benefícios que não poderia ocorrer caso o relacionamento não se estabelecesse. O valor total criado no nível da díade, que é capturado pelas partes, é o valor do relacionamento. Os benefícios obtidos transcendem as características financeiras da transação, podendo converter-se em outros aspectos da relação entre as firmas, tais como capacitação técnica, oferta de serviços, capacidade de inovação e reputação. Os recursos compartilhados e trocados entre as partes são fontes de criação de valor no relacionamento, mas originam-se de duas perspectivas diferentes. Eles podem pertencer previamente a uma delas, compondo um valor que é intrínseco, ou desenvolverem-se ao longo do relacionamento em si, resultando numa parcela de valor relacional. Neste contexto, este estudo propõe-se a investigar as diferentes características das partes que são fonte de criação de valor em um relacionamento, bem como analisar os aspectos que influenciam sua captura pelas partes. O estudo envolveu três etapas. A primeira, de cunho teórico, visou a explorar as dimensões do valor do relacionamento, no que se refere à sua definição e suas fontes. As duas etapas seguintes objetivaram testar empiricamente o efeito das fontes do valor do relacionamento na criação e captura de valor, por meio de uma survey transversal e um estudo de casos múltiplos. A perspectiva teórica que permeia o estudo é a Visão Baseada em Recursos, uma vez que ela pressupõe que os recursos das firmas produzem valor econômico que transcende os limites delas e é capturado por seus clientes e fornecedores. A abordagem ontológica é a do realismo crítico, a qual permite um melhor entendimento dos acontecimentos empiricamente observados. Os resultados contribuem para um melhor entendimento teórico sobre valor do relacionamento, uma vez que os construtos de valor intrínseco e valor relacional integram diferentes fontes de benefícios que podem advir de relacionamentos. A relação entre esses construtos e sua influência individual na captura de valor também trazem uma contribuição teórica ao estudo de relacionamentos comprador-fornecedor. As principais contribuições gerenciais dizem respeito ao fato de que é possível capturar valor mesmo que o relacionamento não seja colaborativo. Adicionalmente, os resultados enfatizam que as empresas deveriam explorar mais como fazer para extrair mais benefícios da outra parte e do relacionamento em si, em especial de fontes não-financeiras.

Advances in understanding energy consumption behavior and the governance of its change - Outline of an integrated framework

Transforming today’s energy systems in industrialized countries requires a substantial reduction of the total energy consumption at the individual level. Selected instruments have been found to be effective in changing people’s behavior in single domains. However, the so far weak success story on reducing overall energy consumption indicates that our understanding of the determining factors of individual energy consumption as well as of its change is far from being conclusive. Among others, the scientific state of the art is dominated by analyzing single domains of consumption and by neglecting embodied energy. It also displays strong disciplinary splits and the literature often fails to distinguish between explaining behavior and explaining change of behavior. Moreover, there are knowledge gaps regarding the legitimacy and effectiveness of the governance of individual consumption behavior and its change. Against this backdrop, the aim of this paper is to establish an integrated interdisciplinary framework that offers a systematic basis for linking the different aspects in research on energy related consumption behavior, thus paving the way for establishing a better evidence base to inform societal actions. The framework connects the three relevant analytical aspects of the topic in question: (1) It systematically and conceptually frames the objects, i.e. the energy consumption behavior and its change (explananda); (2) it structures the factors that potentially explain the energy consumption behavior and its change (explanantia); (3) it provides a differentiated understanding of change inducing interventions in terms of governance. Based on the existing states of the art approaches from different disciplines within the social sciences the proposed framework is supposed to guide interdisciplinary empirical research.

An integrated framework for assessing the accuracy of geobia landcover products.

Se establece un metodología para evaluar la cartografía de capas GIS

An integrated framework for office information systems design and management

Information Technologies are complex and this is true even in the smallest piece of equipment. But this kind of complexity is nothing comparejwith the one that arises when this technology interact with society. Office Automation has been traditionally considered as a technical field but there is no way to find solutions from a technical point of view when the problems are primarily social in their origin. Technology management has to change its focus from a pure technical perspective to a sociotechnical point of view. To facilitate this change, we propose a model that allows a better understanding between the managerial and the technical world, offering a coherent, complete and integrated perspective of both. The base for this model is an unfolding of the complexity found in information Technologies and a matching of these complexities with several levels considered within the Office, Office Automation and Human Factors dimensions. Each one of these domains is studied trough a set of distinctions that create a new and powerful understanding of its reality. Using this model we build up a map of Office Automation to be use^not only by managers but also by technicians because the primaty advantage of such a framework is that it allows a comprehensive evaluation of technology without requhing extensive technical knowledge. Thus, the model can be seen as principle for design and diagnosis of Office Automation and as a common reference for managers and specialist avoiding the severe limitations arising from the language used by the last

National system of innovation and technological learning:an integrated framework for understanding technological capability development in the Russian forestry sector

One of the issues in the innovation system literature is examination of technological learning strategies of laggard nations. Two distinct bodies of literature have contributed to our insight into forces driving learning and innovation, National Systems of Innovation (NSI) and technological learning literature. Although both literatures yield insights on catch-up strategies of 'latecomer' nations, the explanatory powers of each literature by itself is limited. In this paper, a possible way of linking the macro- and the micro-level approaches by incorporating enterprises as active learning entities into the learning and innovation system is proposed. The proposed model has been used to develop research hypotheses and indicate research directions and is relevant for investigating the learning strategies of firms in less technologically intensive industries outside East Asia.

Effectiveness of performance appraisal:an integrated framework

Based on a robust analysis of the existing literature on performance appraisal (PA), this paper makes a case for an integrated framework of effectiveness of performance appraisal (EPA). To achieve this, it draws on the expanded view of measurement criteria of EPA, i.e. purposefulness, fairness and accuracy, and identifies their relationships with ratee reactions. The analysis reveals that the expanded view of purposefulness includes more theoretical anchors for the purposes of PA and relates to various aspects of human resource functions, e.g. feedback and goal orientation. The expansion in the PA fairness criterion suggests certain newly established nomological networks, which were ignored in the past, e.g. the relationship between distributive fairness and organization-referenced outcomes. Further, refinements in PA accuracy reveal a more comprehensive categorization of rating biases. Coherence among measurement criteria has resulted in a ratee reactions-based integrated framework, which should be useful for both researchers and practitioners.

An integrated framework for ensuring the quality of software design

Software development is an extremely complex process, during which human errors are introduced and result in faulty software systems. It is highly desirable and important that these errors can be prevented and detected as early as possible. Software architecture design is a high-level system description, which embodies many system features and properties that are eventually implemented in the final operational system. Therefore, methods for modeling and analyzing software architecture descriptions can help prevent and reveal human errors and thus improve software quality. Furthermore, if an analyzed software architecture description can be used to derive a partial software implementation, especially when the derivation can be automated, significant benefits can be gained with regard to both the system quality and productivity. This dissertation proposes a framework for an integrated analysis on both of the design and implementation. To ensure the desirable properties of the architecture model, we apply formal verification by using the model checking technique. To ensure the desirable properties of the implementation, we develop a methodology and the associated tool to translate an architecture specification into an implementation written in the combination of Arch-Java/Java/AspectJ programming languages. The translation is semi-automatic so that many manual programming errors can be prevented. Furthermore, the translation inserting monitoring code into the implementation such that runtime verification can be performed, this provides additional assurance for the quality of the implementation. Moreover, validations for the translations from architecture model to program are provided. Finally, several case studies are experimented and presented.

DIMUSE: An integrated framework for distributed multimedia system with database management and security support

With the recent explosion in the complexity and amount of digital multimedia data, there has been a huge impact on the operations of various organizations in distinct areas, such as government services, education, medical care, business, entertainment, etc. To satisfy the growing demand of multimedia data management systems, an integrated framework called DIMUSE is proposed and deployed for distributed multimedia applications to offer a full scope of multimedia related tools and provide appealing experiences for the users. This research mainly focuses on video database modeling and retrieval by addressing a set of core challenges. First, a comprehensive multimedia database modeling mechanism called Hierarchical Markov Model Mediator (HMMM) is proposed to model high dimensional media data including video objects, low-level visual/audio features, as well as historical access patterns and frequencies. The associated retrieval and ranking algorithms are designed to support not only the general queries, but also the complicated temporal event pattern queries. Second, system training and learning methodologies are incorporated such that user interests are mined efficiently to improve the retrieval performance. Third, video clustering techniques are proposed to continuously increase the searching speed and accuracy by architecting a more efficient multimedia database structure. A distributed video management and retrieval system is designed and implemented to demonstrate the overall performance. The proposed approach is further customized for a mobile-based video retrieval system to solve the perception subjectivity issue by considering individual user's profile. Moreover, to deal with security and privacy issues and concerns in distributed multimedia applications, DIMUSE also incorporates a practical framework called SMARXO, which supports multilevel multimedia security control. SMARXO efficiently combines role-based access control (RBAC), XML and object-relational database management system (ORDBMS) to achieve the target of proficient security control. A distributed multimedia management system named DMMManager (Distributed MultiMedia Manager) is developed with the proposed framework DEMUR; to support multimedia capturing, analysis, retrieval, authoring and presentation in one single framework.