Intellectual capital, competitive intelligence and the Economic Espionage Act

In completing a competitors’ analysis in the railway sector by using the “Knowledge House” method, there is frequently a problem of data and information accessibility. The quality of primary information has direct influence on the quality of analytical conclusions. One more condition for the qualitative application of this method is the intellectual capital and experience of the analyst. One should note that in this regard we face another problem, that of selection of proper personnel, on the qualification of whom depends the accuracy of the evaluation and final results, on the basis of which strategic decisions are taken. The main aim of the paper is to assess the opportunities for applications of competitive intelligence methods in the railway sector. The study is using “Knowledge House”, DWS, DMS, DSS methodologies. Having analysed the scientific works the direct scientific sources of information, which are oriented to the application of the methods of competitive intelligence to the railway sector, have not been identified. The paper is absolutely original in that until now the competitive intelligence techniques have not been applied for the railway sector companies. Considering the fact that foreign companies, which compete for freighting at the international level, are regarded as the main competitors of the railway sector, the use of the methods of the competitive intelligence becomes more important while fighting for the part of the market. The competitive intelligence methods and their application to the railway sector companies are little studied. In accordance with application of the relevant methods in other sectors, it can be assumed that these innovative approaches could have a positive impact on the competitiveness of companies in the railway sector and their income.

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Understanding the Economic Espionage Act of 1996

10.31235/osf.io/ryh5m ◽

2016 ◽

Cited By ~ 2

Author(s):

Mark Lemley

Keyword(s):

Trade Secret ◽

Foreign State ◽

Industrial Espionage ◽

Espionage Act ◽

Economic Espionage ◽

Trade Secret Theft

The Economic Espionage Act of 1996 was intended to address both the generalneed for a federal criminal deterrent against trade secret theft as well asthe apparent threat from foreign state-sponsored industrial espionage. Thisarticle examines the background of this new law, provides critical analysisof its most important terms, describes the process involved in a referenceof trade secret theft to the federal authorities, and suggests practicalstrategies for businesses to take advantage of this resource as well as toavoid exposure to liability for the mishandling of information belonging toothers.

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Big Data, Knowledge, and Business Intelligence

Encyclopedia of Information Science and Technology, Fourth Edition ◽

10.4018/978-1-5225-2255-3.ch081 ◽

2018 ◽

pp. 943-950

Author(s):

G. Scott Erickson ◽

Helen N. Rothberg

Keyword(s):

Big Data ◽

Knowledge Management ◽

Competitive Advantage ◽

Intellectual Capital ◽

Business Intelligence ◽

Competitive Intelligence ◽

Business Analytics ◽

The Past ◽

The People ◽

Tools And Techniques

Knowledge management (KM), intellectual capital (IC), and competitive intelligence are distinct yet related fields that have endured and grown over the past two decades. KM and IC have always differentiated between the terms and concepts of data, information, knowledge, and wisdom/intelligence, suggesting value only comes from the more developed end of the range (knowledge and intelligence). But the advent of big data/business analytics has created new interest in the potential of data and information, by themselves, to create competitive advantage. This new attention provides opportunities for some exchange with more established theory. Big data gives direction for reinvigorating the more mature fields, providing new sources of inputs and new potential for analysis and use. Alternatively, big data/business analytics applications will undoubtedly run into common questions from KM/IC on appropriate tools and techniques for different environments, the best methods for handling the people issues of system adoption and use, and data/intelligence security.

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