275 resultados para B2C impediments


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After a dramatic economic decline after the collapse of the Soviet Union and the financial breakdown of 1998, the Russian economy has begun to emerge from its deep crisis. The years 1999-2004 were a period of dynamic development in all sectors of Russian economy, and saw a rapid growth in GDP of over 7 per cent per year. Russia owed the excellent macroeconomic results of that period to a combination of favourable factors. The key factors were: high hydrocarbon prices on the global markets; an increase in Russia's international competitiveness thanks to the "rouble devaluation effect" (following the 1998 financial crash); and the market reforms carried out within that period. In 2004, despite very high oil and gas prices on world markets, a slowdown of the GDP growth took place. Even though the economy is still developing fairly rapidly, we are able to say that Russia is exhausting those traditional mechanisms (apart from oil and gas prices) which have hitherto stimulated GDP growth. Moreover, there are no new mechanisms which could replace the old ones. In the longer term, these unsolved structural problems may seriously impede Russia's economic growth.

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The problem of global security of energy supply is growing in importance. TTIP negotiations represent an opportunity to improve energy security in Europe and negotiate a legal framework for bilateral trade in energy, which could serve as a model for future negotiations at a multilateral level. This paper explores some of the thorniest legal, geopolitical, and economic issues that need to be taken up by TTIP negotiators for the promotion of a secure and sustainable trade in energy between the United States and European Union. It gives an account of the most recent developments in the TTIP negotiations on energy and examines the link between a possible legal framework for energy trade under TTIP and other energy-related regional and international fora. The paper critically assesses the negotiating positions of the European Union and the United States in light of their reciprocal energy profiles and needs. It offers an overview of the critical items most likely to be on top of the TTIP agenda on energy based on a comparative analysis of energy provisions in E.U. and U.S. legislation and in light of the both parties’ interests. Finally, it discusses the main driving forces and inhibiting factors capable of facilitating or rather impeding a successful conclusion of an energy trade deal between the United States and the European Union.

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From the "Railway age" of March 29, 1901.

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Final report by University of Illinois at Urbana-Champaign, the Building Research Council [by] Kate Brown, Len Heumann, Karen Winter-Nelson. Prepared for the State of Illinois and the Illinois Housing Development Authority.

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Trust is a critical component of successful e-Commerce. Given the impersonality, anonymity, and automation of transactions, online vendor trustworthiness cannot be assessed by means of body language and other environmental cues that consumers typically use when deciding to trust offline retailers. It is therefore essential that the design of e-Commerce websites compensate by incorporating circumstantial cues in the form of appropriate trust triggers. This paper presents and discusses the results of a study which took an initial look at whether consumers with different personality types (a) are generally more trusting and (b) rely on different trust cues during their assessment of first impression vendor trustworthiness in B2C e-Commerce.

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En los últimos años, el desarrollo creciente de la tecnología informática ha generado cambios en diferentes aspectos de la vida contemporánea. Las negociaciones, comunicaciones, el entretenimiento, la forma de relacionarse, entre otros aspectos, se han visto afectados por el uso de Internet, obligando a realizar ajustes a las tendencias que vienen transformando al mundo y sus aspectos determinantes.

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The purpose of this work is to investigate the digital online- and website- presence of the international automobile industry. The focus is on the business-to-consumer area to find out how digital communication is designed and if there are differences in the design dependent on the type of company or its cultural origin. The research is based on different quantitative as well as qualitative studies. After the selection and validation of the test sample, a qualitative content analysis for each corporate website in the test sample is conducted. Then, an extensive quantitative content analysis is applied. In a third step interviews with nine different experts from different sectors of the automobile company are carried out to validate the previous findings and obtain deeper insights. All of the findings are statistically analyzed and comprehensively evaluated.

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The building life cycle process is complex and prone to fragmentation as it moves through its various stages. The number of participants, and the diversity, specialisation and isolation both in space and time of their activities, have dramatically increased over time. The data generated within the construction industry has become increasingly overwhelming. Most currently available computer tools for the building industry have offered productivity improvement in the transmission of graphical drawings and textual specifications, without addressing more fundamental changes in building life cycle management. Facility managers and building owners are primarily concerned with highlighting areas of existing or potential maintenance problems in order to be able to improve the building performance, satisfying occupants and minimising turnover especially the operational cost of maintenance. In doing so, they collect large amounts of data that is stored in the building’s maintenance database. The work described in this paper is targeted at adding value to the design and maintenance of buildings by turning maintenance data into information and knowledge. Data mining technology presents an opportunity to increase significantly the rate at which the volumes of data generated through the maintenance process can be turned into useful information. This can be done using classification algorithms to discover patterns and correlations within a large volume of data. This paper presents how and what data mining techniques can be applied on maintenance data of buildings to identify the impediments to better performance of building assets. It demonstrates what sorts of knowledge can be found in maintenance records. The benefits to the construction industry lie in turning passive data in databases into knowledge that can improve the efficiency of the maintenance process and of future designs that incorporate that maintenance knowledge.