719 research outputs found
Competitive Intelligence and Internet Sources
In the Knowledge Age to maintain profitability and in some cases to remain in the market, companies must focus their actions in activities such as collecting, filtering, and disseminating information about market, about competitors and their actions. Those are part of Competitive Intelligence (CI) concept. In digital age, most of the information needed for CI projects is available on the web. This paper focuses on this field and presents a mix of directions that companies need to take into consideration in their CI projects in order to achieve the goals.competitive intelligence, web mining, information
Numerical verification of the Cohen-Lenstra-Martinet heuristics and of Greenberg's -rationality conjecture
In this paper we make a series of numerical experiments to support
Greenberg's -rationality conjecture, we present a family of -rational
biquadratic fields and we find new examples of -rational multiquadratic
fields. In the case of multiquadratic and multicubic fields we show that the
conjecture is a consequence of the Cohen-Lenstra-Martinet heuristic and of the
conjecture of Hofmann and Zhang on the -adic regulator, and we bring new
numerical data to support the extensions of these conjectures. We compare the
known algorithmic tools and propose some improvements
The intersections between TRIZ and forecasting methodology
The authorsâ intention is to correlate the basic knowledge in using the TRIZ methodology (Theory of Inventive Problem Solving or in Russian: Teoriya Resheniya Izobretatelskikh Zadatch) as a problem solving tools meant to help the decision makers to perform more significant forecasting exercises. The idea is to identify the TRIZ features and instruments (40 inventive principles, i.e.) for putting in evidence the noise and signal problem, for trend identification (qualitative and quantitative tendencies) and support tools in technological forecasting, to make the decision-makers able to refine and to increase the level of confidence in the forecasting results. The interest in connecting TRIZ to forecasting methodology, nowadays, relates to the massive application of TRIZ methods and techniques for engineering system development world-wide and in growing application of TRIZâs concepts and paradigms for improvements of non-engineering systems (including the business and economic applications).forecasting, TRIZ, methodology, problem solving.
The Business Intelligence and the Better Decisions in Management
The paper intends to present more reasons in the favour of promoting the business intelligence (BI) in the managerial practice. Business intelligence is an umbrella term that encompasses the processes, tools, and technologies required to turn data into information, and information into knowledge and plans that drive effective business activity. BI encompasses data warehousing technologies and processes on the back end, and query, reporting, analysis, and information delivery tools (that is, BI tools) and processes on the front end. Organizations need to increase their focus on decision-making. In particular, they need to think again about the relationship between information and decision-making. Business intelligence and its predecessor concepts decision support, executive information systems, have been circulating for several decades in business.business intelligence, decisions, management.
Understanding Algorithm Performance on an Oversubscribed Scheduling Application
The best performing algorithms for a particular oversubscribed scheduling
application, Air Force Satellite Control Network (AFSCN) scheduling, appear to
have little in common. Yet, through careful experimentation and modeling of
performance in real problem instances, we can relate characteristics of the
best algorithms to characteristics of the application. In particular, we find
that plateaus dominate the search spaces (thus favoring algorithms that make
larger changes to solutions) and that some randomization in exploration is
critical to good performance (due to the lack of gradient information on the
plateaus). Based on our explanations of algorithm performance, we develop a new
algorithm that combines characteristics of the best performers; the new
algorithms performance is better than the previous best. We show how hypothesis
driven experimentation and search modeling can both explain algorithm
performance and motivate the design of a new algorithm
A Study of the Relationship between Foreign Aid and Human Development in Africa
Why are some countries more prosperous than others? Why are some countries still poor? What can be done by the West to help the rest to overcome the poverty trap? Finding better answers to these questions still represents the research agenda for development economists and political agenda for government and international institutions. Of course, the first two questions are ageâold ones and have been asked since the beginning of our history. The economic literature has identified important factors that influence the wealth of nations and they include: openness to trade, natural resources, capital accumulation, and innovation. Recent studies have found that cultural aspects and institutional framework tend to play a major role in a nation\u27s development process. The researchersâ work also helps policy makers to find a better answer to the last question. The purpose of this chapter is to evaluate the effectiveness of aid in eradicating poverty and improving life conditions in African countries since 1980. Since we are at the beginning of a new UN development agenda, it is important for all stakeholders (recipient, donors, international agencies, etc.) to identify the conditions that enable aid to work
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