Theoretical framework for the assessment of vulnerability to natural hazards and climate change [in Europe]

Reducing risk that emerges from hazards of natural origin and societal vulnerability is a key challenge for the development of more resilient communities and the overall goal of sustainable development. The following chapter outlines a framework for multidimensional, holistic vulnerability assessment that is understood as part of risk evaluation and risk management in the context of Disaster Risk Management (DRM) and Climate Change Adaptation (CCA). As a heuristic, the framework is a thinking tool to guide systematic assessments of vulnerability and to provide a basis for comparative indicators and criteria development to assess key factors and various dimensions of vulnerability, particularly in regions in Europe, however, it can also be applied in other world regions. The framework has been developed within the context of the research project MOVE (Methods for the Improvement of Vulnerability Assessment in Europe; ) sponsored by the European Commission within the framework of the FP 7 program.

The conceptual table: a strategy for the development of a theoretical framework of a field research or knowledge

This is a guide to develop a theoretical framework for any field of knowledge. It is a rational and organized to put everything that is known or has been written about an issue or a problem way.

Drivers of Agricultural Physical Capital Development: Theoretical Framework and Hypotheses. Factor Markets Working Paper No. 18, February 2012

This paper aims to identify drivers of physical capital adjustments in agriculture. It begins with a review of some of the most important theories and modelling approaches regarding firms’ adjustments of physical capital, ranging from output-based models to more recent approaches that consider irreversibility and uncertainty. Thereafter, it is suggested that determinants of physical capital adjustments in agriculture can be divided into three main groups, namely drivers related to: i) expected (risk-adjusted) profit, ii) expected societal benefits and costs and iii) expected private nonpecuniary benefits and costs. The discussion that follows focuses on the determinants belonging to the first group and covers aspects related to product market conditions, technological conditions, financial conditions and the role of firm structure and organization. Furthermore, the role of subjective beliefs is emphasized. The main part of this paper is concerned with the demand side of the physical capital market and one section also briefly discusses some aspects related to supply of farm assets.

The Theoretical Framework and Methodology to Estimate the Farm Labour and Other Factor-Derived Demand and Output Supply Systems. Factor Markets Working Document No. 44, May 2013

This paper provides a conceptual framework for the estimation of the farm labour and other factor-derived demand and output supply systems. In order to analyse the drivers of labour demand in agriculture and account for the impact of policies on those decisions, it is necessary to acknowledge the interaction between the different factor markets. For this purpose, we present a review of the theoretical background to primal and dual representations of production and some empirical literature that has made use of derived demand systems. The main focus of the empirical work is to study the effect of market distortions in one market, through inefficient pricing, on the demand for other inputs. Therefore, own-price and cross-price elasticities of demand become key variables in the analysis. The dual cost function is selected as the most appropriate approach, where input prices are assumed to be exogenous. A commonly employed specification – and one that is particularly convenient due to its flexible form – is the translog cost function. The analysis consists of estimating the system of cost-share equations, in order to obtain the derived demand functions for inputs. Thus, the elasticities of factor substitution can be used to examine the complementarity/substitutability between inputs.

Knowledge acquisition through conceptual clustering : a theoretical framework and an algorithm for partitioning data into conjunctive concepts /

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Towards a theoretical framework for human performance modelling within manufacturing systems design

The performance of direct workers has a significant impact on the competitiveness of many manufacturing systems. Unfortunately, system designers are ill equipped to assess this impact during the design process. An opportunity exists to assist designers by expanding the capabilities of popular simulation modelling tools, and using them as a vehicle to better consider human factors during the process of system design manufacture. To support this requirement, this paper reports on an extensive review of literature that develops a theoretical framework, which summarizes the principal factors and relationships that such a modelling tool should incorporate.

Advanced manufacturing technology and work design:towards a theoretical framework

This paper introduces a theoretical framework to guide research into the psychological effects of advanced manufacturing technology (AMT) on shopfloor operators. The framework has two main aspects. First, based on the emerging literature on the job content implications of AMT, it identifies four key constructs, namely: control, cognitive demand, production responsibility and social interaction. Second, by drawing on the more established job design, stress and related literatures, it predicts how these independent variables differentially affect system performance, job-related strain and job satisfaction. The wider implications and limitations of the theoretical framework are discussed.

Implications of a theoretical framework on stress and burnout for the development of graduate nursing education curricula

This study had two purposes: (a) to develop a theoretical framework integrating and synthesizing findings of prior research regarding stress and burnout among critical care nurses (CCRNs), and (b) to validate the theoretical framework with an empirical study to assure a theory/research based teaching-learning process for graduate courses preparing nursing clinical specialists and administrators.^ The methods used to test the theoretical framework included: (a) adopting instruments with reported validity, (b) conducting a pilot study, (c) revising instruments using results of the pilot study and following concurrence of a panel of experts, and (d) establishing correlations within predetermined parameters. The reliability of the tool was determined through the use of Cronbach's Alpha Coefficient with a resulting range from.68 to.88 for all measures.^ The findings supported all the research hypotheses. Correlations were established at r =.23 for statistically significant alphas at the.01 level and r =.16 for alphas.05. The conclusions indicated three areas of strong correlation among the theoretical variables: (a) work environment stressor antecedents and specific stressor events were correlated significantly with subjective work stress and burnout; (b) subjective work stress (perceived work related stress) was a function of the work environment stressor antecedents and specific stressor events, and (c) emotional exhaustion, the first phase of burnout, was confirmed to be related to stressor antecedents and specific stressor events. This dimension was found to be a function of the work environment stressor antecedents, modified by the individual characteristics of work and non-work related social support, non-work daily stress, and the number of hours worked per week. The implications of the study for nursing graduate curricula, nursing practice and nursing education were discussed. Recommendations for further research were enumerated. ^