Competitive Intelligence and the Web

Boncella, Robert J.

doi:10.17705/1cais.01221

Cited by 22 publications

(17 citation statements)

References 10 publications

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“…• Establishing security: The security of mission-critical corporate intelligence systems [Boncella, 2003] • Designing scalable systems: The scalability of Web-based systems when large volumes of BI information are exchanged between databases and Web clients [Cody, 2002].…”

Section: Research Issuesmentioning

confidence: 99%

Business Intelligence

Negash¹

2004

CAIS

249

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Business intelligence systems combine operational data with analytical tools to present complex and competitive information to planners and decision makers. The objective is to improve the timeliness and quality of inputs to the decision process. Business Intelligence is used to understand the capabilities available in the firm; the state of the art, trends, and future directions in the markets, the technologies, and the regulatory environment in which the firm competes; and the actions of competitors and the implications of these actions. The emergence of the data warehouse as a repository, advances in data cleansing, increased capabilities of hardware and software, and the emergence of the web architecture all combine to create a richer business intelligence environment than was available previously. Although business intelligence systems are widely used in industry, research about them is limited. This paper, in addition to being a tutorial, proposes a BI framework and potential research topics. The framework highlights the importance of unstructured data and discusses the need to develop BI tools for its acquisition, integration, cleanup, search, analysis, and delivery. In addition, this paper explores a matrix for BI data types (structured vs. unstructured) and data sources (internal and external) to guide research.

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Section: Research Issuesmentioning

confidence: 99%

Business Intelligence

Negash¹

2004

CAIS

249

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“…The official information (Boncella 2003): -the reports, publications, editions, staff of the company; -publications in the press; -the official events, which are organized by the company (exhibitions, seminars, presentations); -the production and services; -official telephone conversations with the representatives of the company; -publicity and the materials, which are delivered; -commercial offers; -the information, which is put in the Internet; -statistical information; -technical transmitters of the information, information technologies and their equipments (TV, the radio); -the materials of the exhibitions etc.…”

Section: The Role Of Information and The Sources In The Business Modementioning

confidence: 99%

Use of “Knowledge House”, Dws, DMS and DSS Methodology by Completing a Competitors' Analysis in the Railway Sector

Gaidelys

Dailydka

2016

Journal of Business Economics and Management

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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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“…This is an ongoing research project and so far the body of knowledge in the literature addressing this research topic is very limited. Jakubchak [30] has conducted a research to estimate the value of using multi-criteria analysis for intelligence analysts in the military domain. This research tested empirically with controlled experiments the value of using MCDA to support analysts in their intelligence work and conclude that it is likely to be a valuable method to use when conducting intelligence analysis.…”

Section: Critical Issuesmentioning

confidence: 99%

“…The term was defined by the Society of Competitive Intelligence Professionals as "a systematic and ethical program for gathering, analyzing and managing external information that can affect your company's plans, decisions and operations". After a large review of the literature, we found that no single definition of CI is likely to be precise and universally accepted [30,31,32,33]. CI is divided in three categories [1]:…”

Section: Introductionmentioning

confidence: 99%

Competitive intelligence: History, importance, objectives, process and issues

Sassi

Frini

Karâa³

et al. 2015

2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)

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Competitive intelligence deals with the competitive environment of a company. Several studies have been conducted on competitive intelligence domain but there is no empirical work that gives a complete implemented competitive intelligence solution. This paper presents an overview of competitive intelligence studies and highlights the issues towards developing a complete CI solution. A new conceptual model which details the collection phase and incorporates the anticipation of the competitor decisions is proposed. To better solve the CI problem, the paper proposes to integrate the ability of multi-criteria decision aid methods to manage conflicting criteria in a complex environment, with the ability of artificial intelligence in managing and extracting large amount of technical data/information in such a context.

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Competitive Intelligence and the Web

Cited by 22 publications

References 10 publications

Business Intelligence

Business Intelligence

Use of “Knowledge House”, Dws, DMS and DSS Methodology by Completing a Competitors' Analysis in the Railway Sector

Competitive intelligence: History, importance, objectives, process and issues

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