scholarly journals What role does technology play for intelligence studies at the start of the 21st century?

2016 ◽  
Vol 6 (3) ◽  
Author(s):  
Klaus Solberg Söilen
Keyword(s):  
21St Century ◽  
Business Intelligence ◽  
Census Data ◽  
Evaluation Model ◽  
Added Value ◽  
Hotspot Analysis ◽  
English Grammar ◽  
Industrial Espionage ◽  
Intelligence Studies ◽  
Fuzzy Promethee

All articles published in this issue show the role technology plays for intelligence studies in business. We see how patents can be used for competitive and business intelligence, how datamining and software can be used for geoeconomics, how it may measure the success of open source innovation indifferent cultures, how business intelligence software can be evaluated using fuzzy PROMETHEE and how software and the internet are used for economic and industrial espionage. Singh writes on geoeconomics on a micro scale, the question about where a business should be located geographically to be economically viable. The author presents a new geospatial methodologicalapproach using census data. ArcGIS software is used as a geospatial analytics tool for hotspot analysis and for producing maps.Deshpande, Ahmed, and Khode’s article entitled “Business intelligence evaluation model in enterprise systems using fuzzy PROMETHEE” presents a new model to evaluate business intelligence for enterprise systems.The article by Capatina, Bleoju, Yamazaki and Nistor show how strategic intelligence solutions, once performed in a collaborative culture environment, will lead to the improvement of the partners’ managerial competences and will act as enablers for competitive positioning, proving the added-value ofthe acquired know-how through open innovation practices. The article by Maadi, Javidnia and Khatami shows how patents can be used as a source of informationfor competitive/business intelligence to highlight the technological trends in the field of energy efficient cooling of data centers. As such it is a good applied example for how patent analysis can be done in a specific industry.The last article entitled “Economic and industrial espionage at the start of the 21st century – Status quaestionis” is by Solberg Søilen. It is an attempt to define where the field of economic and industrial espionage is today, more than ten years after the author wrote a dissertation on the subject. As always, we would above all like to thank the authors for their contributions to this issue of JISIB. Thanks to Dr. Allison Perrigo for reviewing English grammar and helping with layout

scholarly journals Business intelligence evaluation model in enterprise systems using fuzzy PROMETHEE

2016 ◽  
Vol 6 (3) ◽  
Author(s):  
Mansoureh Maadi ◽  
Mohammad Javidnia ◽  
Malihe Khatami
Keyword(s):  
Decision Making ◽  
Business Intelligence ◽  
Fuzzy Theory ◽  
Evaluation Model ◽  
Enterprise Systems ◽  
Practical Method ◽  
Multi Criteria Decision Making ◽  
Proposed Model ◽  
Fuzzy Promethee

In this paper, a new model to evaluate business intelligence (BI) for enterprisesystems is presented. Evaluation of BI before making decisions about buying and deploymentcan be an important decision support system for managers in organizations. In this paper, asimple and practical method is presented that evaluates BI for enterprise systems. In this way,after reviewing different papers in the literature, 34 criteria for BI specifications aredetermined, and then by applying fuzzy PROMETHEE, different enterprise systems areranked. To continue to assess the proposed model and as a case study, five enterprise systemswere selected and ranked using the proposed model. The advantages of PROMETHEE overother multi-criteria decision making methods and the use of fuzzy theory to deal withuncertainty in decision making is assessed and it is found that the proposed model can be auseful and applied method to help managers make decisions in organizations.

How Sweet and Ripe are the Fruits? Data Mining Techniques for Classifying and Predicting ‘Quick-Wins’ Direct Capital Investment in Indonesia as One Approach to Business intelligence Orientation and Knowledge Management Scenarios of Indonesian Enterprises

2019 ◽  
Vol 1 (1) ◽  
pp. 121-131
Author(s):  
Ali Fauzi
Keyword(s):  
Data Mining ◽  
Business Intelligence ◽  
Direct Investment ◽  
Capital Investment ◽  
Export Market ◽  
Added Value ◽  
Knowledge Generation ◽  
Management Scenarios ◽  
Data Mining Techniques ◽  
Knowledge Based Economy

The existence of big data of Indonesian FDI (foreign direct investment)/ CDI (capital direct investment) has not been exploited somehow to give further ideas and decision making basis. Example of data exploitation by data mining techniques are for clustering/labeling using K-Mean and classification/prediction using Naïve Bayesian of such DCI categories. One of DCI form is the ‘Quick-Wins’, a.k.a. ‘Low-Hanging-Fruits’ Direct Capital Investment (DCI), or named shortly as QWDI. Despite its mentioned unfavorable factors, i.e. exploitation of natural resources, low added-value creation, low skill-low wages employment, environmental impacts, etc., QWDI , to have great contribution for quick and high job creation, export market penetration and advancement of technology potential. By using some basic data mining techniques as complements to usual statistical/query analysis, or analysis by similar studies or researches, this study has been intended to enable government planners, starting-up companies or financial institutions for further CDI development. The idea of business intelligence orientation and knowledge generation scenarios is also one of precious basis. At its turn, Information and Communication Technology (ICT)’s enablement will have strategic role for Indonesian enterprises growth and as a fundamental for ‘knowledge based economy’ in Indonesia.

Evaluation model of business intelligence for enterprise systems using fuzzy TOPSIS

2012 ◽  
Vol 39 (3) ◽  
pp. 3764-3771 ◽  
Author(s):  
Saeed Rouhani ◽  
Mehdi Ghazanfari ◽  
Mostafa Jafari
Keyword(s):  
Business Intelligence ◽  
Evaluation Model ◽  
Enterprise Systems ◽  
Fuzzy Topsis

THE VALUE OF NETWORKING IN 21st CENTURY HIGHER EDUCATION: THE MARNE-LA-VALLÉE UNIVERSITY CASE

2011 ◽  
Vol 08 (03) ◽  
pp. 483-500
Author(s):  
ANTONELLA POCE
Keyword(s):  
Higher Education ◽  
21St Century ◽  
Added Value ◽  
Present Contribution ◽  
Successful Case ◽  
Education Requirements ◽  
Insight Into

The keyword that most effectively describes 21st-century higher education is "expansion," as suggested by Daniel et al. [2009]. The present contribution aims to analyze current higher education requirements, offers a general insight into how to respond to pressing needs by exploiting the added value of networking potentiality, and reports on a successful case: the Licence Professionnelle "Management des Organisations de l'Economie Sociale" course (University Marne-la-Vallée, France).

scholarly journals Espionaje y competitividad: la industria automotriz alemana en el juego comercial moderno de China/ Espionage and Competitiveness: The German Automotive Industry in China's Modern Commercial Game

2020 ◽  
pp. 93-103
Author(s):  
Daniel F. Crespo Pazmiño
Keyword(s):  
21St Century ◽  
Automotive Industry ◽  
Automobile Industry ◽  
Lower Cost ◽  
Technological Development ◽  
Economic Security ◽  
German Industry ◽  
German Government ◽  
Industrial Espionage

La innovación y el desarrollo tecnológico son una fuente crucial de competitividad dentro del entorno comercial global. En el siglo XXI, firmas automotrices alemanas como Audi, Volkswagen y Mercedes-Benz se han posicionado en el top de empresas con reconocimiento internacional por su calidad y prestigio innovador. No es ninguna novedad destacar que cada vez existen más compañías productoras de automóviles que se establecen a partir de la reproducción a bajo costo de los modelos de las principales marcas. Sin embargo, cabe destacar el hecho de que la industria automotriz alemana ha extendido su vinculación con las empresas ensambladoras de automóviles en China, que se han vuelto conocidas por duplicar el producto alemán. Mediante un análisis bajo los lentes de la seguridad económica, la dinámica del espionaje industrial moderno y la cultura del capitalismo chino, este trabajo se enfoca en evidenciar cómo el espionaje corporativo constituye una parte más del juego comercial moderno, particularmente en el contexto de la industria automotriz alemana en China. Así, se analizan los principales casos de espionaje chino de la industria alemana, las acciones defensivas emprendidas por Alemania y las estrategias que su industria automotriz prioriza para mantener la competitividad en un entorno de espionaje e incertidumbre. Abstract Innovation and technological development are a crucial source of competitiveness within the global trading environment. So far in the 21st century, some German automotive firms, such as Audi, Volkswagen, and Mercedes-Benz, have positioned at the top of internationally recognized car companies for their quality and innovative prestige. It is no novelty to mention that there are more and more car-producing companies, which reproduce the models of the main brands at a lower cost, and in doing so, they have positioned themselves internationally. However, it is especially noteworthy the fact that the German automobile industry has been spreading its linkage with the manufacturers and assemblers of cars in China, which have become famous by doubling the German product. This article shows how corporate espionage constitutes a part of the modern commercial game, particularly in the context of the German automotive industry in China, under the lens of economic security, the dynamics of modern industrial espionage and the culture of China's capitalism. For such ends, it discusses the main cases of Chinese espionage of the German industry, the defensive actions undertaken by the German Government, and the strategies that the German automotive industry prioritizes in order to maintain its competitiveness in an environment of espionage and uncertainty.

scholarly journals THE EVALUATION OF THE II PILLAR PENSION’S FUNDS: AN INTEGRATED APPROACH USING MULTI-CRITERIA DECISION METHODS

2017 ◽  
Vol 18 (0) ◽  
pp. 109-127
Author(s):  
Lina Novickytė ◽  
Viktorija Rabikauskaitė
Keyword(s):  
Pension System ◽  
Evaluation Model ◽  
Holistic Approach ◽  
Integrated Approach ◽  
Added Value ◽  
Risk Indicators ◽  
Mathematical Methods ◽  
The World Bank ◽  
Decision Methods ◽  
The World

Lithuania has had a significant reform path in the last twenty-five years like other communist bloc countries during the intense changes in the world. Changes and transformations took place in various areas including social security system. Since 2004 have been significant developments legalizing the three-pillar old age pension system supported by the World Bank. Currently, the pension funds operating more than ten years and their assessment still have not stopped being the centre of numerous discussions. There are ongoing discussions about the fund performances’ benefit, efficiency and its evaluation. Therefore, this paper investigates the funds’ valuation problem by testing II pillar pension’s funds in Lithuania. We use the multi-criteria methods with two scenarios: first we estimate II pillar pension’s funds by applying a return (as well as the added value) and the risk indicators; second we include only the most popular derivative indicators: Sharpe, Treynor and Jensen’s alpha ratios. Our results indicate that based on the second scenario methodology is more precise evaluated II pillar pensions funds’ performance, but funds evaluation model based on multi-criteria assessment is more appropriate for larger funds groups. However, in order to assess the performance of the funds and compare them with each other it is important not only use the mathematical methods but also to maintain a holistic approach which allows to integrate micro and macro environmental factors into the funds’ assessment.

scholarly journals EDITORIAL NOTE VOL 2, NO 3 (2012)

2012 ◽  
Vol 2 (3) ◽  
Author(s):  
Klaus Solberg Søilen
Keyword(s):  
New York ◽  
Business Intelligence ◽  
Competitive Intelligence ◽  
Editorial Note ◽  
Thomson Reuters ◽  
Market Situation ◽  
Intelligence Studies ◽  
History Of ◽  
To Come ◽  
A Company

JISIB has entered into an electronic licensing relationship with EBSCO Publishing. It has also been selected to appear in EBSCO’s Business Source Complete database, which according to the company publishes “Superior Academic Journals (…) with premium content of peer-reviewed, business related journals. “ JISIB now also fulfills the official criteria of Thomson Reuters to be cited in their ISI Web of Knowledge database. As such it has applied to be included in the database. However, by experience with other journals, we know this process can still take considerable time. After having had the journal’s first annual meeting for editors in December we would like to thank the old board members who are leaving and welcome the new ones. Most contributions continue to come from best papers from a number of conferences related to Intelligence Studies. Two out of five articles come from ECKM 2012, which was held 6-7 September in Cartagena, Spain. Track co-chairs for the Mini Track on Competitive Intelligence and KM was G. Scott Erickson, Ithaca College, Ithaca, NY and Helen N. Rothberg, Marist College, Poughkeepsie, New York. Two other articles are revised versions of papers presented at ECIS, but not previously published in journals. The article by Helen N. Rothberg and G. Scott Ericksonis about how to benchmark competitive intelligence activities. The paper identifies and measures different circumstances in which knowledge development and knowledge protection can have greater or lesser importance for a company.  The authors believe that the results will start to move scholarly work in the field into the new areas of macro studies and strategic choice. The article by Stéphan Goria is on board wargames for businesses. It also gives a broad background of this field of study with the history of wargames and numerous historical examples. Moreover Goria shows the benefits with wargames by creating a new game and testing it for a market situation which found place in France between Nintendo and Sony. The article by Yasmina Amara, Klaus Solberg Søilen and Dirk Vriens proposes a way to evaluate business intelligence software by introducing a new model, the SSAV model. The article by Marisela Rodriguez Salvador and Luis Francisco Salinas Casanova applies a Competitive Intelligence model to analyze Thermoplastics Elastomers (TE), a class of polymers, for a company in Mexico. The model shows numerous novel findings with important implications for the company. Finally, the article by Klaus Solberg Søilen and Anders Hasslinger show how vendors of Business Intelligence software try to differentiate themselves in this market.

scholarly journals Business intelligence, big data and theory

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Klaus Solberg Söilen
Keyword(s):  
Social Sciences ◽  
Big Data ◽  
Business Intelligence ◽  
Success Factors ◽  
Small And Medium Enterprises ◽  
Great Length ◽  
Extensive Literature ◽  
Sequencing Analysis ◽  
Starting Point ◽  
Intelligence Studies

Again, the articles for this issue are mostly about the application of new technology and about business intelligence, reflecting a strong development in corporations. The only exception is the first article, which is purely theoretical.The contribution by Søilen, entitled “When the social sciences are based in evolutionary theory: the example of geoeconomics and intelligence studies,” is a theoretical article. It argues for why it was wrong to make the study of physics the model for the new social sciences after the Second World War.Moreover, it describes how this was done for the study of economics and how new studies like geoeconomics and intelligence studies have an advantage in this sense, and that a fresh look at theory is easier in these cases.Hughes, in his article “A new model for identifying emerging technologies,” argues for the relevance of the intelligence expert despite the increase in new complexities required for understanding an industry, but he also emphasizes the importance for the analyst to learn more about big data. Our technologicalsystems are still ineffective at knowing the relevant data sources and how to connect the data in meaningful ways to derive value for the firm, but their importance is increasing. The author proposes a new forecasting model that incorporates a combination of technology sequencing analysis and big datatools within the organization while also leveraging experts from across the open innovation spectrum. Salguero et al., in the article “Proposal of an assessment scale in competitive intelligence applied to touristic sector,” present a mathematical CI model to be applied in the tourism sector, specifically forhotels. The model is also tested and fine-tuned, proving to have value for the CI function. The authors also present an extensive literature review.The extensive article by García and Pinzón, “Key success factors to business intelligence solutions implementation,” builds on previous literature published in this journal, such as Cidrin and Adamala (2011) and takes as a starting point the high number of BI projects that fail. The authors identify 13 factors that affect business intelligence solution success. The final article, by Papachristodoulou et al., “Business intelligence and SMEs: Bridging the gap,” talks at great length about the problem of implementing BI in small and medium enterprises (SMEs). It shows how new products have changed to adapt to a new sector of customers.

scholarly journals The width and scope of intelligence studies in business

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Klaus Solberg Soilen
Keyword(s):  
Data Mining ◽  
Economic Development ◽  
Additive Manufacturing ◽  
Business Intelligence ◽  
Predictive Analytics ◽  
Competitive Intelligence ◽  
Special Issue ◽  
Monitoring Process ◽  
Intelligence Studies ◽  
Simple Evaluation

If the last issue of JISIB was a special issue where the discipline was reflecting on itself, then this issues shows some of the width and scope of the field. The conceptual article by Nienaber and Sewdass presents a relatively new concept of workforce intelligence, and links it to competitive advantage by way of predictive analytics. The article by Solberg Søilen is an attempt to lay out a broad scientific agenda for the area of intelligence studies in business.Empirical findings come from a survey, but in the discussion the author argues for why the study should define itself as much broader than what the survey data implies, breaking out of the current dominating scientific paradigm. The article by Fourati-Jamoussi and Niamba is an updated evaluation of business intelligence tools, a frequently reoccurring topic. However, this time it is not a simple evaluation of existing software, but an evaluation by users to helpdesigners of business intelligence tools get the best efficiency out of a monitoring process. The article by Calof is an evaluation of government sponsored competitive intelligence for regional and sectoral economic development in Canada. The article concludes that it is possible tocalculate positive economic impacts from these activities. Rodríguez Salvador and Hernandez de Menéndez come back to a field that has become a specialty for Rodríguez Salvador: scientific and industrial intelligence based on scientometric patent analysis. This time she looks at bio-additive manufacturing using advanced data mining software and interviews with experts.

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