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Journal articles on the topic 'Information systems'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 July 2024

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1

R, Karupusamy. "Information Systems." International Journal of Research Publication and Reviews 4, no. 4 (April 2023): 3633–35. http://dx.doi.org/10.55248/gengpi.4.423.36452.

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2

Šilerová, E., and L. Kučírková. "Knowledge and information systems." Agricultural Economics (Zemědělská ekonomika) 54, No. 5 (June 13, 2008): 217–23. http://dx.doi.org/10.17221/245-agricecon.

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We can see that the today’s management level of informations is not quite fully controlled in most businesses. Nowadays generation of information systems creates support for business processes with the aim of optimalization of these processes on the bases of experiences with similar business processes. Today’s information systems are at the level of data management or information management. Quite a few manage information processes in the area of tactical and strategic planning and almost no one manages processes in the areas of gathering, distribution and sharing of knowledge in business. We can say, that investments to the information technologies do not guarantee the successful way to the management of information and knowledge in business.
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3

Dařena, F. "Global architecture of marketing information systems – Scientific Information." Agricultural Economics (Zemědělská ekonomika) 53, No. 9 (January 7, 2008): 432–40. http://dx.doi.org/10.17221/625-agricecon.

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The paper is focused on study of information systems that can be applied in the process of marketing planning. General terms from information systems theory are examined from marketing perspective, particular examples of marketing activities support are identified on the basis of literature review and global structure of the Marketing Information System (MkIS) is proposed. The main subsystems of MkIS – internal reporting system, marketing intelligence system, marketing research system, and decision support system are discussed in higher level of detail. The main attention is paid not only to supported marketing processes but also to technologies that can be used in individual parts of MkIS. The result is the architecture that integrates isolated marketing applications into one comprehensible framework. This architecture also creates a framework for following research in the field of marketing activities support.
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4

Sirkemaa, Seppo J. "Information Systems Management — Modular Approach." International Journal of Information and Electronics Engineering 7, no. 1 (2017): 7–10. http://dx.doi.org/10.18178/ijiee.2017.7.1.653.

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5

KLYUCHKO, O. M. "ELECTRONIC INFORMATION SYSTEMS IN BIOTECHNOLOGY." Biotechnologia Acta 11, no. 2 (February 2018): 5–22. http://dx.doi.org/10.15407/biotech11.02.005.

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6

Marks, Adam, and Kees Rietsema. "Airport Information Systems—Airside Management Information Systems." Intelligent Information Management 06, no. 03 (2014): 149–56. http://dx.doi.org/10.4236/iim.2014.63016.

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7

Marks, Adam, Kees Rietsema, and Maytha AL-Ali. "Airport Information Systems—Landside Management Information Systems." Intelligent Information Management 07, no. 03 (2015): 130–38. http://dx.doi.org/10.4236/iim.2015.73012.

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8

Crowley, Terry, F. W. Lancaster, Robert Hayes, Daniel O. O'Connor, and Michael Buckland. "Information and Information Systems." Journal of Education for Library and Information Science 33, no. 3 (1992): 265. http://dx.doi.org/10.2307/40323232.

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9

Ingwersen, Peter. "Information and information systems." Information Processing & Management 29, no. 3 (May 1993): 400–401. http://dx.doi.org/10.1016/0306-4573(93)90068-o.

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10

Schou, C. D., J. Frost, and W. V. Maconachy. "Information assurance in biomedical informatics systems." IEEE Engineering in Medicine and Biology Magazine 23, no. 1 (January 2004): 110–18. http://dx.doi.org/10.1109/memb.2004.1297181.

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11

Wiese, William H. "Public Health Informatics and Information Systems." American Journal of Preventive Medicine 25, no. 1 (July 2003): 78. http://dx.doi.org/10.1016/s0749-3797(03)00088-6.

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12

Tang, Xiaoya. "Social Informatics and Information Retrieval Systems." Bulletin of the American Society for Information Science and Technology 26, no. 3 (January 31, 2005): 20–21. http://dx.doi.org/10.1002/bult.155.

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13

Scott, Barrett. "Information Systems." Journal of Research on Computing in Education 32, no. 1 (September 1999): 4–16. http://dx.doi.org/10.1080/08886504.1999.10782265.

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14

RONK, MARTHA. "Information Systems." Critical Quarterly 51, no. 1 (April 2009): 125. http://dx.doi.org/10.1111/j.1467-8705.2009.01849.x.

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15

Gorgone, John T. "Information systems." ACM SIGCSE Bulletin 37, no. 4 (December 2005): 16–18. http://dx.doi.org/10.1145/1113847.1113855.

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16

Conway, Mary Ellen, and C. Taney Hamill. "Information systems." Home Care Provider 3, no. 3 (June 1998): 171–72. http://dx.doi.org/10.1016/s1084-628x(98)90329-x.

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17

Messerle, Judy. "Information Systems." Yearbook of Medical Informatics 07, no. 01 (August 1998): 273–75. http://dx.doi.org/10.1055/s-0038-1637897.

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18

Gell, G. "Information Systems." Yearbook of Medical Informatics 08, no. 01 (August 1999): 395–97. http://dx.doi.org/10.1055/s-0038-1637932.

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19

Tang, P. C. "Information Systems." Yearbook of Medical Informatics 03, no. 01 (August 1994): 215–17. http://dx.doi.org/10.1055/s-0038-1638006.

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20

Frisse, M. "Information Systems." Yearbook of Medical Informatics 04, no. 01 (August 1995): 267–70. http://dx.doi.org/10.1055/s-0038-1638032.

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21

Jean, F.-C. "Information Systems." Yearbook of Medical Informatics 06, no. 01 (August 1997): 259–61. http://dx.doi.org/10.1055/s-0038-1639687.

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22

&NA;. "Information Systems." Nursing Management (Springhouse) 32, no. 2 (February 2001): 49. http://dx.doi.org/10.1097/00006247-200102000-00017.

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&NA;. "Information Systems." Nursing Management (Springhouse) 33, no. 4 (April 2002): 51. http://dx.doi.org/10.1097/00006247-200204000-00019.

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24

Clark, Fiona, Chris Lamb, and Ginny Parsons. "Information systems." Nursing Management 8, no. 1 (April 2001): 23–26. http://dx.doi.org/10.7748/nm.8.1.23.s11.

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25

Giuse, D. A., and K. A. Kuhn. "From Hospital Information Systems to Health Information Systems." Methods of Information in Medicine 40, no. 04 (2001): 275–87. http://dx.doi.org/10.1055/s-0038-1634170.

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Summary Objectives: Hospital information systems are evolving towards health information systems. This article aims at identifying both proven benefits and critical issues, and at discussing problems and possible solutions. Methods: Reports on HIS successes and failures were analyzed, and core challenges were identified. These challenges are discussed against state of the art solutions. Results: In spite of demonstrated benefits, there are more severe problems than reports on successes suggest. Among today’s core problems are integration, human-computer interaction, socio-technical issues, and support of processes. Conclusions: Significant efforts of all parties involved in the health care process are needed to improve, implement, and evaluate the concepts described.
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26

Coward, P. M. "From Nursing Information Systems to Patient Information Systems." Methods of Information in Medicine 33, no. 03 (1994): 302–3. http://dx.doi.org/10.1055/s-0038-1635021.

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Abstract:Clinical information systems, developed for specific disciplines, reinforce the fragmentation of patient care and fail to support integrated, patient centered approaches. Fundamental restructuring of systems development is required to prepare the health care system and the practice of nursing for the future.
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27

Menkus, Belden. "Information Systems Quality Assurance Enhances Information Systems Security." EDPACS 17, no. 12 (June 1990): 6–10. http://dx.doi.org/10.1080/07366989009450603.

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28

D, Lande, Soboliev A, and Dmytrenko O. "Intelligent technologies in information retrieval systems." Artificial Intelligence 27, jai2022.27(1) (June 20, 2022): 260–68. http://dx.doi.org/10.15407/jai2022.01.260.

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This paper considers the use of modern intelligent technologies in information retrieval systems. A general scheme for the implementation of Internet search engines is presented. The existing and prospective approaches to the intellectualization of individual components of this scheme are presented. An approach to the creation of a system of intelligent agents for information collection is presented. These agents are combined into teams and exchange the results of their work with each other. They form a reliable basis for the information base of search engines, ensure uninterrupted operation of the system in case of failure of individual agents. Methods for the formation of semantic networks corresponding to the texts of individual documents are also considered. These networks are considered as search patterns of documents for information retrieval and detection of duplicates or similar documents. Machine learning methods are used to conduct sentiment analysis. The paper describes an approach that made it possible to make the transition from the use of a naive Bayesian model to a modern machine learning system. The issues of cluster analysis and visualization of search results are also considered.
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29

Pícka, M. "Metamodeling and development of information systems." Agricultural Economics (Zemědělská ekonomika) 50, No. 2 (February 24, 2012): 65–70. http://dx.doi.org/10.17221/5168-agricecon.

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Metamodeling is becaming an important part of information systems development. When metamodeling we are working with metamodel which define the syntax and the semantics of models. There are a lot of standards for definition of metamodel e.g. COMMA, GOPRR, MOF. Metamodeling is used for defining and creating of new methodologies, their implementation into CASE and metaCASE tools. Metamodeling is used for manipulation of data and metadata and for optimalization of information’s system design with utilization of generic models. The aims of this article are: to discusse fundamental concepts of metamodeling, demonstrate some theoretically and practically important meta-metamodels and to position metamodeling principles in the development of information systems.
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30

Sorokatyi, R., A. Dykha, O. Pasichnyk, and T. Skrypnyk. "Computer information technology modeling tribological systems." Problems of tribology 25, no. 2 (June 5, 2020): 59–66. http://dx.doi.org/10.31891/2079-1372-2020-96-2-59-66.

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31

S, Sangeetha, and Srividhya S.R. "Deconstructing Information Retrieval Systems with Plumbara." Journal of Advanced Research in Dynamical and Control Systems 11, no. 0009-SPECIAL ISSUE (September 25, 2019): 868–74. http://dx.doi.org/10.5373/jardcs/v11/20192645.

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32

Samoylenko, H. T., and A. V. Selivanova. "Distributed information systems in e-commerce." Mathematical machines and systems 2 (2023): 69–74. http://dx.doi.org/10.34121/1028-9763-2023-2-69-74.

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The article discusses the basic requirements for electronic commerce information systems that support business. The features of the modular design of electronic trade information systems are characterized and the advantages and disadvantages of independently developed information-but-computational resources are determined. The expediency of using distributed information systems for electronic trade tasks is justified. The concept of distributed information systems involves the use of various technologies and protocols to ensure the availability, reliability, and scalability of the system. The architecture of a distributed information system involves the creation of a system with distributed components that interact using standard interfaces and use various technologies for communications. The prospects for the use of distributed information systems are determined and the advantages of using a distributed architecture are analyzed. The article studies the stages of building the architecture of a distributed information system and defines its main components. The architecture of distributed systems can consist of such components as database servers, web servers, applications, security tools, and network equipment, and may vary depending on the specific system and its needs. The types of architectures of distributed information systems and the specifics and features of their application are determined. The article discusses microservices-oriented architecture (Microservices-Oriented Architecture, MOSA), the basic idea of which is that software is divided into small, autonomous microservices that interact with each other using APIs. The use of MOSA for electronic trade information systems allows for increasing the speed of development and implementation of additional functions and ensures scalability and resistance to failures.
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33

Dudykevyc, Valeriy, Galyna Mykytyn, Taras Kret, and Andrii Rebets. "Security of Cyber-Physical Systems from Concept to Complex Information Security System." Advances in Cyber-Physical Systems 1, no. 2 (February 23, 2016): 67–75. http://dx.doi.org/10.23939/acps2016.02.067.

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34

Ivancha, V. P., and V. V. Belozerov. "ADAPTATION OF THE ADVANTA INFORMATION SYSTEM FOR PROJECT MANAGEMENT IN ENGINEERING SYSTEMS." European Journal of Natural History, no. 5 2023 (2023): 4–8. http://dx.doi.org/10.17513/ejnh.34363.

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35

Ristov, Pančo, Ante Mrvica, and Pavao Komadina. "Security of Data and Information in Vessel Traffic Management Information Systems." Naše more 63, no. 1 (March 2016): 1–8. http://dx.doi.org/10.17818/nm/2016/1.7.

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36

Klyuchko, O. M. "INFORMATION COMPUTER TECHNOLOGIES FOR USING IN BIOTECHNOLOGY: ELECTRONIC MEDICAL INFORMATION SYSTEMS." Biotechnologia Acta 11, no. 3 (June 2018): 5–6. http://dx.doi.org/10.15407/biotech11.03.005.

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37

Dada, Maria. "Queering Geographic Information information Systems." A Peer-Reviewed Journal About 8, no. 1 (August 15, 2019): 58–68. http://dx.doi.org/10.7146/aprja.v8i1.115415.

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What’s the relationship between GIS and the political subject? In an effort to address this question, this paper traces the movement from the map to GIS. The map is shown to be the performative utterance of the state, one that supports its national discourse and narrative. GIS, on the other hand, is shown to be a device of neoliberal governmentality, its non-representational economic practices, divided discourse and subjectivities. Despite the seemingly hopeless situation surrounding GIS, however, certain simulation and modelling practices are attempting to construct subjectivities out of economic neoliberalism’s fractured narratives. They do this by reading meaning into otherwise mathematical datasets and models. These practices could form a basis for queering GIS.
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38

Halonen, Raija. "Transferring information between information systems." International Journal of Information Quality 1, no. 2 (2007): 209. http://dx.doi.org/10.1504/ijiq.2007.014610.

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39

Hammersley, P. "Editorial - Information and Information Systems." Computer Journal 32, no. 3 (March 1, 1989): 193. http://dx.doi.org/10.1093/comjnl/32.3.193.

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40

Yudina, N., and Marina Lapshina. "INFORMATION PROTECTION IN INFORMATION SYSTEMS." Моделирование систем и процессов 9, no. 4 (February 9, 2017): 89–92. http://dx.doi.org/10.12737/24592.

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41

Beeson, Ian, and Jackie Chelin. "Information systems meets information science." Innovation in Teaching and Learning in Information and Computer Sciences 5, no. 2 (May 2006): 1–6. http://dx.doi.org/10.11120/ital.2006.05020003.

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42

Stowell, Frank. "Do We Mean Information Systems or Systems of Information?" International Journal of Information Technologies and Systems Approach 1, no. 1 (January 2008): 25–36. http://dx.doi.org/10.4018/jitsa.2008010102.

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43

Beynon‐Davies, Paul, Ian Owens, and Michael D. Williams. "Information systems evaluation and the information systems development process." Journal of Enterprise Information Management 17, no. 4 (August 2004): 276–82. http://dx.doi.org/10.1108/17410390410548689.

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44

PLUCKHAHN, THOMAS. "Geographical Information Systems in Archaeology:Geographical Information Systems in Archaeology." American Anthropologist 109, no. 2 (June 2007): 370–71. http://dx.doi.org/10.1525/aa.2007.109.2.370.

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45

King, John Leslie. "Systems in information systems research." ACM SIGOIS Bulletin 15, no. 1 (August 1994): 20–24. http://dx.doi.org/10.1145/185057.185067.

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46

Chen, Hsinchun. "Intelligence and security informatics: information systems perspective." Decision Support Systems 41, no. 3 (March 2006): 555–59. http://dx.doi.org/10.1016/j.dss.2004.06.003.

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47

Teipel, Ulrich, and Ulrich Lagally. "Application of Geo-Information Systems in Geology." Zeitschrift der Deutschen Gesellschaft für Geowissenschaften 161, no. 2 (June 1, 2010): 117. http://dx.doi.org/10.1127/1860-1804/2010/0161-0117.

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48

Singh, N. P. "The Application of Information Systems of FreestyleXtreme." Journal of Management and Training for Industries 7, no. 1 (April 1, 2020): 32–49. http://dx.doi.org/10.12792/jmti.7.1.32.

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49

Sergeevich Gerasimov, Andrei. "Cloud Computing Application in Enterprise Information Systems." International Journal of Science and Research (IJSR) 13, no. 4 (April 5, 2024): 203–7. http://dx.doi.org/10.21275/es24308105813.

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50

BENAOUNE, Tayeb. "Literature Of Information Systems And Information Technology Evaluation In Management Information Systems' Field." Dirassat Journal Economic Issue 3, no. 2 (September 1, 2012): 207–24. http://dx.doi.org/10.34118/djei.v3i2.641.

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This paper investigates the famous streams in literature of information systems and information technology (IS/IT) evaluation. This theoretical review entails the user information satisfaction (UIS) models, the technology acceptance models (TAM) and Delone and McLean success model (D&M SM) (1992). The present paper represents a part from a study that has been undertaken to investigate the use of IS/IT in selected Algerian organizations and the perceived performance of both individuals and organizations
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