953 resultados para Consumer Product Safety
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Mode of access: Internet.
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"November 1986."
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Safety enforcement practitioners within Europe and marketers, designers or manufacturers of consumer products need to determine compliance with the legal test of "reasonable safety" for consumer goods, to reduce the "risks" of injury to the minimum. To enable freedom of movement of products, a method for safety appraisal is required for use as an "expert" system of hazard analysis by non-experts in safety testing of consumer goods for implementation consistently throughout Europe. Safety testing approaches and the concept of risk assessment and hazard analysis are reviewed in developing a model for appraising consumer product safety which seeks to integrate the human factors contribution of risk assessment, hazard perception, and information processing. The model develops a system of hazard identification, hazard analysis and risk assessment which can be applied to a wide range of consumer products through use of a series of systematic checklists and matrices and applies alternative numerical and graphical methods for calculating a final product safety risk assessment score. It is then applied in its pilot form by selected "volunteer" Trading Standards Departments to a sample of consumer products. A series of questionnaires is used to select participating Trading Standards Departments, to explore the contribution of potential subjective influences, to establish views regarding the usability and reliability of the model and any preferences for the risk assessment scoring system used. The outcome of the two stage hazard analysis and risk assessment process is considered to determine consistency in results of hazard analysis, final decisions regarding the safety of the sample product and to determine any correlation in the decisions made using the model and alternative scoring methods of risk assessment. The research also identifies a number of opportunities for future work, and indicates a number of areas where further work has already begun.
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This study examined consumer food safety knowledge on the island of Ireland. Domestic refrigerators were tested for the presence of a range of pathogenic bacteria.
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Hazardous chemical products have to comply with, amongst others, the provisions of a correct classification of danger, labelling and compilation of the safety data sheets. The aim is to protect people's health and the environment from exposure to hazardous chemicals- especially the health and safety of direct users, professionals or not, and the general public, via environmental exposure. This publication is intended to contribute to the knowledge of the objectives and basic aspects of these legal provisions, and thereby increase their degree of compliance in Andalusia and other european regions. This Guide is directed toward those people who, in the development of their professional activities, are in one way or another in contact with dangerous chemical products.
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Hazardous chemical products have to comply with, amongst others, the provisions of a correct classification of danger, labelling and compilation of the safety data sheets. The aim is to protect people's health and the environment from exposure to hazardous chemicals- especially the health and safety of direct users, professionals or not, and the general public, via environmental exposure. This publication is intended to contribute to the knowledge of the objectives and basic aspects of these legal provisions, and thereby increase their degree of compliance in Andalusia and other european regions. This Guide is directed toward those people who, in the development of their professional activities, are in one way or another in contact with dangerous chemical products.
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Consumer reviews, opinions and shared experiences in the use of a product is a powerful source of information about consumer preferences that can be used in recommender systems. Despite the importance and value of such information, there is no comprehensive mechanism that formalizes the opinions selection and retrieval process and the utilization of retrieved opinions due to the difficulty of extracting information from text data. In this paper, a new recommender system that is built on consumer product reviews is proposed. A prioritizing mechanism is developed for the system. The proposed approach is illustrated using the case study of a recommender system for digital cameras
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In 1980 the World Health Organization declared that smallpox was eradicated from the world, and routine smallpox vaccination was discontinued. Nevertheless, samples of the smallpox virus (variola virus) were retained for research purposes, not least because of fears that terrorist groups or rogue states might also have kept samples in order to develop a bioweapon. Variola virus represents an effective bioweapon because it is associated with high morbidity and mortality and is highly contagious. Since September 11, 2001, countries around the world have begun to develop policies and preparedness programs to deal with a bioterror attack, including stockpiling of smallpox vaccine. Smallpox vaccine itself may be associated with a number of serious adverse events, which can often be managed with vaccinia immune globulin (VIG). VIG may also be needed as prophylaxis in patients for whom pre-exposure smallpox vaccine is contraindicated (such as those with eczema or pregnant women), although it is currently not licensed in these cases. Two intravenous formulations of VIG (VIGIV Cangene and VIGIV Dynport) have been licensed by the FDA for the management of patients with progressive vaccinia, eczema vaccinatum, severe generalized vaccinia, and extensive body surface involvement or periocular implantation following inadvertent inoculation.
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Recommender systems attempt to predict items in which a user might be interested, given some information about the user's and items' profiles. Most existing recommender systems use content-based or collaborative filtering methods or hybrid methods that combine both techniques (see the sidebar for more details). We created Informed Recommender to address the problem of using consumer opinion about products, expressed online in free-form text, to generate product recommendations. Informed recommender uses prioritized consumer product reviews to make recommendations. Using text-mining techniques, it maps each piece of each review comment automatically into an ontology
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Companies operating in today’s highly internationalized markets consider product differentiation the key priority in pursue to attain a constant competitive advantage in challenging global environment (Baker and Ballington 2002, 158). The main driver affecting companies’ differentiation actions was described as early as 1912 by one of the marketing pioneers A. W. Shaw (1912, 710) as meeting human wants more accurate than the competition, and thus increasing customers’ perceived value and satisfaction. Dickson and Ginter (1987, 2) point out in their study based on earlier research by Chamberlin (1965) and Porter (1976) that differentiation can be based on either tangible characteristics of a product such as design or intangible characteristics such as a brand name and country of origin (hereafter referred to as COO). The concept of COO and its impact on consumers’ evaluation of a product as an extrinsic product cue has been one of the most noteworthy topics in international marketing, having been voluminously examined by over 780 authors in more than 750 academic publications in the past 40 years (Papadopoulos and Heslop 2002, 294). Many of these studies accentuate the significant effect the COO has on consumers’ product attribute evaluations. People routinely associate country images with products and services in order to judge and categorize them based on perceived quality and risk levels; thereby COO can influence the likelihood of a purchase (Peterson and Jolibert 1995, 883-884; Verlegh and Steenkamp 1999, 523). Based on the vast research related to COO in the field of international business, it is widely recognized that the country associated with a product can act in a similar way as the name of a brand and even become a part of product’s total image. Thereby depending on customer’s values and perceptions, the product-country image can either increase or decrease perceived value.
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Recommender systems attempt to predict items in which a user might be interested, given some information about the user's and items' profiles. Most existing recommender systems use content-based or collaborative filtering methods or hybrid methods that combine both techniques (see the sidebar for more details). We created Informed Recommender to address the problem of using consumer opinion about products, expressed online in free-form text, to generate product recommendations. Informed recommender uses prioritized consumer product reviews to make recommendations. Using text-mining techniques, it maps each piece of each review comment automatically into an ontology
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Consumer reviews, opinions and shared experiences in the use of a product is a powerful source of information about consumer preferences that can be used in recommender systems. Despite the importance and value of such information, there is no comprehensive mechanism that formalizes the opinions selection and retrieval process and the utilization of retrieved opinions due to the difficulty of extracting information from text data. In this paper, a new recommender system that is built on consumer product reviews is proposed. A prioritizing mechanism is developed for the system. The proposed approach is illustrated using the case study of a recommender system for digital cameras
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Mode of access: Internet.