1,457,594 research outputs found

    Technology infrastructure in information technology industries

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    Abstract not availableeconomics of technology business administration and economics

    CLARIN: Common language resources and technology infrastructure

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    This paper gives an overview of the CLARIN project [1], which aims to create a research infrastructure that makes language resources and technology (LRT) available and readily usable to scholars of all disciplines, in particular the humanities and social sciences (HSS)

    Information Technology as Coordination Infrastructure

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    Business information technology is traditionally viewed as information provision technology. In this view, organizations use their IT to implement databases that provide people with information when they want it. This view is persistent even though information provision is never an end in itself but always has the further purpose to support the coordination of activities of people. The role if IT as coordination technology became more prominent in the 1980s with the advent of network technology, that allowed activities across different businesses to be coordinated. This trend has accellerated since the growth of Internet usage, and today IT is used to support an increasingly varied range of processes performed by a variety of partners that do not all have a hierarchical relation to each other. This makes it difficult to analyze requirements for IT support and specify IT solutions: Business processes may not be well-defined, and interests of different businesses may clash. This report argues that to deal with this in requirements engineering and IT solution specification, business information technology should not be viewed as IT support for business processes but as IT support for the coordination of activities in one or more businesses. We will identify three basic coordination mechanisms, namely coordination by price, by management, and by shared norms, and for each of these mechanisms, we will identify requirements for IT support. The advent of flexible and standardized networking technology has facilitated the creation of novel coordination mechanisms within these three general paradigms, and we will give an inventory of generalized coordination mechanisms made possible by current IT. Finally, we will draw conclusions for requirements engineering methods for IT support for each of the coordination mechanisms identified by the framework

    eHealth and the Internet of Things

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    To respond to an ageing population, eHealth strategies offer significant opportunities in achieving a balanced and sustainable healthcare infrastructure. Advances in technology both at the sensor and device levels and in respect of information technology have opened up other possibilities and options. Of significance among these is what is increasingly referred to as the Internet of Things, the interconnection of physical devices to an information infrastructure. The paper therefore sets out to position the Internet of Things at the core of future developments in eHealt

    Digital Divide: An Econometric Study of the Determinants in Information-poor Countries

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    There can not be two opinions on the importance of Information and Communication Technology (ICT) for economic development. However, real disparities exist in access to and use of ICT across countries. The digital divide is a complicated matter of varying levels of access, basic usage, and applications of ICT among countries and peoples. Using the Gompertz Technology Diffusion model, this paper attempts to measure the contribution of factors such as affordability, knowledge, infrastructure, human capital, trade openness, and economic and social environment in the technology diffusion process, specially in the case of information-poor countries.Digital Divide, Information and Communication Technologies, ICT, Gompertz Model, ICT Diffusion, Economic Development, ICT Infrastructure

    The future of shale

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    Master's Project (M.S.) University of Alaska Fairbanks, 2016This project examines the various drivers that led to the U.S. shale oil revolution in order to predict its place in the energy industry going forward and to analyze its effects on Alaska. The shale boom flooded the market with oil causing a dramatic decrease in crude oil prices in late 2014. With this price drop threatening to send Alaska into an economic recession, the future of shale should be of primary concern to all Alaskans as well as other entities that rely heavily on oil revenue. The primary driver leading to the shale revolution is technology. Advances in hydraulic fracturing, horizontal drilling, and 3D seismic mapping made producing shale oil and gas possible for the first time. New technologies like rotary steerable systems and measurements while drilling continue to make shale production more efficient, and technology will likely continue to improve. Infrastructure helps to explain why the shale revolution was mostly an American phenomenon. Many countries with shale formations have political infrastructure too unstable to risk shale investment. Capital infrastructure is a primary strength of the U.S. and also helps to explain why shale development didn't find its way up to Alaska despite having political stability. Financial infrastructure allowed oil companies to receive the funding necessary to quickly bring shale to the market. The final driver explored is crude oil prices. High oil prices helped spark the shale revolution, but with the recent price crash, there is uncertainty about its future. With production costs continually falling due to technology improvements and analysts predicting crude oil prices to stabilize above most project breakeven points, the future of shale looks bright.Introduction -- Shale & Alaska North Slope Crude Oil Prices -- Seeds of its own destruction? Technology -- Hydraulic Fracturing -- History of fracking -- Directional drilling -- History of drilling -- Benefits of directional drilling -- 3D seismic mapping -- Creating a shockwave -- Recording the data -- Interpreting the results -- The birth of a revolution -- Current/future developments -- Rotary steerable system -- Measurements while drilling -- Future developments. Infrastructure -- Political risk -- Financial markets -- Over investment -- Capital infrastructure. Crude prices -- The price crash -- Breakeven prices -- Future prices -- Alaska -- Conclusion -- Bibliography

    Total Factor Productivity and Technical Efficiency of Indian Manufacturing: The Role of Infrastructure and Information & Communication Technology

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    Drawing on a recent dataset of the Indian manufacturing industry for 1994 to 2008, this paper shows for eight sectors that core infrastructure and Information & Communication Technology (ICT) matter for Total Factor Productivity (TFP) and Technical Efficiency (TE).In the analysis, we use a range of advanced estimation techniques to overcome problems of non-stationary, omitted variables, endogeneity and reverse causality (such as System-GMM, panel cointegration and FMOLS). Estimation results suggest that the impact of core infrastructure is rather strong on TFP and TE (elasticity of 0.32 and 0.17 respectively), while the effect of ICT appears slightly smaller (0.12 and 0.08, respectively). This finding is of particular importance in the Indian context of infrastructure bottlenecks. It strongly supports the idea that a lack of infrastructure can hamper growth in developing countries. Our results also reveal that the impact of infrastructure and ICT varies among the industries. Interestingly, Transport Equipments, Metal & Metal Products and Textile, which are sectors relatively more exposed to foreign competition, are also found to be more sensitive to infrastructure endowment. This result can be extended to the Chemical industry for TE. This finding implies that improving core and ICT infrastructure would proportionally benefit more to these sectors, which could play a leading role in the competitiveness and the industrial growth of the Indian economy.infrastructure;Manufacturing Industry;India;Information and Communication Technology;total factor productivity;Technical efficiency
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