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JCR Impact Factor: 0.459
JCR 5-Year IF: 0.442
Issues per year: 4
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Next issue: May 2017
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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "Big Data - " before the paper title in OpenConf.

2017-Jan-30
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2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

2016-Jun-14
Thomson Reuters published the Journal Citations Report for 2015. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.459, and the JCR 5-Year Impact Factor is 0.442.

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  1/2009 - 2

A Knowledge Management Scenario to Support Knowledge Applications Development in Small and Medium Enterprises

ROSU, S. M., DRAGOI, G., GURAN, M.
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (1,188 KB) | Citation | Downloads: 996 | Views: 3,895

Author keywords
knowledge management, knowledge bases, knowledge process, knowledge application, SME

References keywords
knowledge(14), management(8), rosu(6), business(6), learning(5), intelligence(5), design(5), daaam(5), published(4), guran(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2009-02-03
Volume 9, Issue 1, Year 2009, On page(s): 8 - 15
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2009.01002
Web of Science Accession Number: 000264815300002
SCOPUS ID: 67749117835

Abstract
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Full text preview
Nowadays, in the European countries more than 95% of the companies are small and medium-sized enterprises (SMEs) and majority of the European Union employees work in these companies. In order to develop intelligent business to become competitive, the enterprises must increase the quality and technologic level of products and services, to have permanent new product or to make old products bettering and to have a good prices policy. These activities request first a large amount of data, information and knowledge collected from all sources and then request transferring knowledge at each enterprise level. Therefore, this work analyses the state of art of the knowledge and knowledge management (KM) and propose KM scenario to support knowledge applications (KApps) development in SMEs. In addition, the paper presents how can be knowledge bases built at the enterprise level.


References | Cited By  «-- Click to see who has cited this paper

[1] J. Ash, Next Generation Knowledge Management, Volume 3. Published by Ark Group, London, 2007.

[2] M. Biere, "Business Intelligence for the Enterprise", Prentice Hall Press, 2003. [PermaLink]

[3] P. Coppola, R. Lomuscio, S. Mizzaro, E. Nazzi, "m-Dvara 2.0: Mobile & Web 2.0 services integration for cultural heritage" in SWKM'2008: Workshop on Social Web and Knowledge Management @ WWW 2008, April, Beijing, China

[4] G. Dragoi, C. E. Cotet, L. Rosu, S. M. Rosu, "Internet/Intranet/Extranet-Based Systems in the CESICED Platform for Virtual Product Development Environment", Advances in Integrated Design and Manufacturing in Mechanical Engineering II, S. Tichkiewitch, M. Tollenaere, P. Ray (Eds.), published by Springer, XIV, 2007, pp. 293-307
[CrossRef] [Web of Science Record]


[5] G. Dragoi, S. M. Rosu, M. Guran, C. E. Cotet, L. Rosu, "A Knowledge Management Methodological View to Improve Virtual Product Development", Chapter 19 in DAAAM International Scientific Book 2007, B. Katalinic (Ed.), published by DAAAM International, Vienna, Austria, pp. 199-212

[6] L. Etman, M. Kokkolaras, A. Hofkamp, P. Papalambros, J. Rooda, "Coordination specification in distributed optimal design of multilevel systems using the x language", Struct. Multidisc. Optim., 29, 2005, pp. 198-212
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 7]


[7] K. Fink, "Know-how Management", Oldenbourg Verlag, Munchen, 2000.

[8] K. Fink, C. Ploder, "The Impact of Knowledge Process Modeling on Small and Medium-sized Enterprises", in Proceedings of the I-KNOW'06, Graz, Austria, 2006, pp. 47-51

[9] K. Fink, C. Ploder, "Knowledge Process Modeling in SME and Cost-efficient Software Support - Theoretical Framework and Empirical Studies", in Khosrow-Pour, M.: Managing Worldwide Operations and Communications with Information Technology, Idea Group Publishing, New Jersey, 2007, pp. 152-155.

[10] D. Grecu, L. Becker, L., "Coactive Learning for Distributed Data Mining", in Fourth International Conference on Knowledge Discovery in Databases - KDD-98, Menlo Park, CA: AAAI Press, 1998

[11] M. Guran, "Knowledge Management using Intranets and Enterprise Portals", International Journal of Computers, Communications & Control, vol. III (2008), Suppl. issues: Proceedings of ICCCC'2008, pp. 75-81

[12] L. Heinrich, F. Lehner "Informationsmanagement", Oldenbourg Verlag, Munchen, 2005.

[13] R. Kalakota, M. Robinson, "E-Business Roadmap for the Success", Addison-Wesley Press, 1999.

[14] R. S. Michalski, "Inferential Theory of Learning as a Conceptual Basis for Multistrategy Learning", Machine Learning, 11(2/3), 1993, pp. 111-151
[CrossRef] [SCOPUS Times Cited 31]


[15] F. Noel, D. Brissaud, S. Tichkiewitch, S., "Integrative Design Environment to Improve Collaboration between Various Experts", CIRP Annals, STC Dn, vol. 52, no. 1, 2003, pp. 109-116

[16] I. Nonaka, H. Takeuchi, "The Knowledge-Creating Company", Oxford University Press, Oxford, 1995.

[17] M. Nunes, F. Annansingh, B. Eaglestone, R. Wakefield, "Knowledge Management Issues in Knowledge-Intensive SMEs", Journal of Documentation, vol. 62, no. 1, 2006, pp. 101-119
[CrossRef] [Web of Science Times Cited 65] [SCOPUS Times Cited 116]


[18] C. Ploder, K. Fink, "An Orchestration Model for Knowledge Management Tools in SMEs", in Proceedings of the I-KNOW'07, Graz, Austria, September 2007, pp. 176-184

[19] M. Porter, "Strategy and Internet", Harvard Business Review, vol. 79, no. 3, pp. 62-78, March 2001.

[20] S. M. Rosu, A. Draghici, M. Guran, "Knowledge Transfer in the Enterprise Business Intelligence", Annals of DAAAM for 2007 & Proceedings of the 18th International DAAAM Symposium, Katalinic B. (Ed.), published by DAAAM International, Vienna, Austria, October, pp. 647-648

[21] S. M. Rosu, M. Guran, "Knowledge capitalization & transfer in the enterprise business intelligence", Academic Journal of Manufacturing Engineering, vol. 6, no. 2/2008, pp. 143-150

[22] A. Shakya, H. Takeda, V. Wuwongse, "StYLiD: Social information sharing with free creation of structured linked data" in SWKM'2008: Workshop on Social Web and Knowledge Management @ WWW 2008, April, Beijing, China

[23] B. Thuraisingham. Web Data Mining and Applications in Business Intelligence. Auerbach Publications Press, 2003.
[CrossRef]


[24] J. Ward, J. Peppard. Strategic planning for information systems. West Sussex, England, John Wiley & Sons, 2002.

[25] Z. Wu, A. Duffy, "Using Protocol Analysis to Investigate Collective Learning in Design", in Artificial Intelligence in Design'02, Cambridge, UK: Kluwer Academic Publishers, 2002.

References Weight

Web of Science® Citations for all references: 70 TCR
SCOPUS® Citations for all references: 154 TCR

Web of Science® Average Citations per reference: 3 ACR
SCOPUS® Average Citations per reference: 6 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2017-04-22 13:48 in 37 seconds.




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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania


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