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Journal articles on the topic 'Knowledge and Information'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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1

Šilerová, E., and L. Kučírková. "Knowledge and information systems." Agricultural Economics (Zemědělská ekonomika) 54, No. 5 (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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2

YASUNAGA, Hisashi. "Information and Knowledge." Joho Chishiki Gakkaishi 18, no. 5 (2008): 516–19. http://dx.doi.org/10.2964/jsik.18-5-34.

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3

Cohn, Jay N. "Information vs knowledge." Journal of Cardiac Failure 2, no. 2 (1996): 67–69. http://dx.doi.org/10.1016/s1071-9164(96)80024-8.

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4

Rodrigues, Vítor. "Information and knowledge." Revista Portuguesa de Cardiologia (English Edition) 38, no. 8 (2019): 557. http://dx.doi.org/10.1016/j.repce.2019.11.007.

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5

Du Rietz, Sabina. "Information vs knowledge." Accounting, Auditing & Accountability Journal 31, no. 2 (2018): 586–607. http://dx.doi.org/10.1108/aaaj-01-2013-1198.

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Purpose The purpose of this paper is to offer a new and more elaborate view of the relationship between information and knowledge in accountability settings. Design/methodology/approach The study investigates how knowledge is accomplished when accountability is demanded. The “knowing-in-practice” perspective (Lave, 1988; Orlikowski, 2002; Pentland, 1992) is introduced to theorise knowledge as the ability to purposefully go on with practice and information as a resource that may contribute to this knowledge. Empirically, the study investigates Nordic investors’ engagement with companies addressing environmental, social, and governance issues. Findings The findings illustrate how information may contribute to knowledge in an accountability setting. Whether or not the information contributes to knowledge in the accountability setting depends on the information’s origin, convergence with other accounts, and use in contradicting and disproving executives’ information. The analysis also shows how knowledge in accountability settings may be achieved without information – for example, by enacting theories. Research limitations/implications The study suggests that research should more carefully distinguish between knowledge and information. According to the perspective used here, knowledge is the ability to purposefully go on with practice. Information is one of many resources that can contribute to knowledge. Practical implications This study provides insight into the relationship between accounting systems and the practice of demanding accountability. Such understanding is valuable when designing accounts-based governance and civil regulation, such as for addressing sustainability issues, as in this study. Originality/value The study challenges the view of knowledge as a representation or factual commodity, and provides a new and more elaborate view of the relationship between information and knowledge in accountability settings by introducing the knowing-in-practice perspective to the accounting literature.

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6

Jones, Diana. "Information and Knowledge." Physiotherapy 85, no. 9 (1999): 528. http://dx.doi.org/10.1016/s0031-9406(05)65494-6.

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7

Rodrigues, Vítor. "Information and knowledge." Revista Portuguesa de Cardiologia 38, no. 8 (2019): 557. http://dx.doi.org/10.1016/j.repc.2019.09.004.

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8

Malik, Suhail. "Information and Knowledge." Theory, Culture & Society 22, no. 1 (2005): 29–49. http://dx.doi.org/10.1177/0263276405048434.

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9

P. Sivaranjini, P. Sivaranjini, and S. Praveena S. Praveena. "Knowledge Management System for Organisational Development Information Technology." Indian Journal of Applied Research 3, no. 6 (2011): 363–64. http://dx.doi.org/10.15373/2249555x/june2013/120.

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10

Polyakov, Maxim, Igor Khanin, Vladimir Bilozubenko, Maxim Korneyev, and Natalia Nebaba. "Information technologies for developing a company’s knowledge management system." Knowledge and Performance Management 4, no. 1 (2020): 15–25. http://dx.doi.org/10.21511/kpm.04(1).2020.02.

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Escalating competition, technological changes and the struggle for innovation present companies with a knowledge management (KM) challenge. To implement it at the modern level, it is necessary to develop a knowledge management system (KMS). Significant opportunities for this are created by information technologies (IT), qualitatively changing approaches to knowledge management. Therefore, the study aims to clarify the theoretical foundations of shaping the company’s KMS and conceptualize information tools for its formation. Within the theoretical foundations of KM, its essence (as a systematic management activity and a set of measures to ensure the business processes of obtaining, storing, disseminating and using knowledge in the company), the subject (the aforementioned processes and various types of knowledge), and links with other types of management (innovation, information, personnel management, etc.) are specified. Given the main goals, principles and tasks of KM, its main approaches, key processes and control elements are summarized. The conceptual foundations of KMS development are formulated and its subsystems (methodological, planning, information, and functional subsystems for ensuring business processes for obtaining, distributing and using knowledge) are highlighted. Given the importance of IT, the following concepts have been formulated: a portal for R&amp;amp;D management, innovation management platforms, and a tool for formalizing knowledge and corporate knowledge base. Their purpose, functionality, and the role of ensuring work with knowledge and KM implementation are described. The problem of their implementation, operation and improvement is emphasized. The research results allow creating a new technological basis for the introduction of knowledge management.

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11

Dr.J.Santhi, Dr J. Santhi, Dr S. Jeyachitra Dr.S.Jeyachitra, and Amudha Amudha. "An Overview of Knowledge Management in Library Information Sector." Indian Journal of Applied Research 3, no. 10 (2011): 1–2. http://dx.doi.org/10.15373/2249555x/oct2013/62.

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12

Knight, Jenny. "Sharing knowledge and information." Nursing Standard 24, no. 28 (2010): 62–63. http://dx.doi.org/10.7748/ns.24.28.62.s51.

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13

Ashworth, John M. "Knowledge and digital information." Journal of Strategic Information Systems 12, no. 4 (2003): 331–37. http://dx.doi.org/10.1016/j.jsis.2001.11.008.

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14

Nick, Peter. "From information to knowledge." Protoplasma 253, no. 1 (2016): 1–2. http://dx.doi.org/10.1007/s00709-015-0924-0.

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15

Landa, Dimitri. "Information, Knowledge, and Deliberation." PS: Political Science & Politics 52, no. 4 (2019): 642–45. http://dx.doi.org/10.1017/s1049096519000994.

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16

Doyle, Jacqueline D. "Knowledge-Based Information Management." Medical Reference Services Quarterly 13, no. 2 (1994): 85–97. http://dx.doi.org/10.1300/j115v13n02_08.

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17

van Bemmel, Jan H., and Alexa T. McCray. "Sharing Knowledge and Information." Yearbook of Medical Informatics 02, no. 01 (1993): 3–4. http://dx.doi.org/10.1055/s-0038-1637975.

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18

MacFarlane, Alistair. "Information, Knowledge and Learning." Higher Education Quarterly 52, no. 1 (1998): 77–92. http://dx.doi.org/10.1111/1468-2273.00084.

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19

Perrin, Edward J., and Pamela H. Mitchell. "Data, Information, and Knowledge." Medical Care 35, Supplement (1997): NS84—NS86. http://dx.doi.org/10.1097/00005650-199711001-00009.

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20

Cooper, Paul. "Data, information and knowledge." Anaesthesia & Intensive Care Medicine 11, no. 12 (2010): 505–6. http://dx.doi.org/10.1016/j.mpaic.2010.09.008.

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21

Lee, John A. "Data, information, and knowledge." Lancet Oncology 3, no. 6 (2002): 384. http://dx.doi.org/10.1016/s1470-2045(02)00781-7.

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22

Bonanno, Giacomo. "Information, Knowledge and Belief." Bulletin of Economic Research 54, no. 1 (2002): 47–67. http://dx.doi.org/10.1111/1467-8586.00139.

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23

Ford, Nigel. "Knowledge-based information retrieval." Journal of the American Society for Information Science 42, no. 1 (1991): 72–74. http://dx.doi.org/10.1002/(sici)1097-4571(199101)42:1<72::aid-asi8>3.0.co;2-9.

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24

Nisselle, Paul. "Information, knowledge and wisdom." Trends in Urology & Men's Health 4, no. 6 (2013): 13–16. http://dx.doi.org/10.1002/tre.361.

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25

Hopf, Henning. "Knowledge lost in information." Nachrichten aus der Chemie 55, no. 10 (2007): 984–87. http://dx.doi.org/10.1002/nadc.200751947.

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26

Hewitt, Stephen M. "Data, Information, and Knowledge." Journal of Histochemistry & Cytochemistry 67, no. 4 (2019): 227–28. http://dx.doi.org/10.1369/0022155419836995.

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27

Zeger, Scott L. "Editorial: Knowledge from information." Journal of the Royal Statistical Society: Series A (Statistics in Society) 170, no. 3 (2007): 513–16. http://dx.doi.org/10.1111/j.1467-985x.2007.00480.x.

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28

Johanson, Graeme. "Information, knowledge and research." Journal of Information Science 23, no. 2 (1997): 103–9. http://dx.doi.org/10.1177/016555159702300201.

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29

Sølvberg, Ingeborg, Inge Nordbø, and Agnar Aamodt. "Knowledge-based information retrieval." Future Generation Computer Systems 7, no. 4 (1992): 379–90. http://dx.doi.org/10.1016/0167-739x(92)90053-e.

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30

Kuryło, Piotr, Adam Wysoczański, and Piotr Bonarski. "Knowledge and Information Management." System Safety: Human - Technical Facility - Environment 3, no. 1 (2021): 1–10. http://dx.doi.org/10.2478/czoto-2021-0001.

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Abstract The paper describes selected issues related to knowledge management in a manufacturing company with a detailed analysis of the impact of optimal management using the MES system on financial and production results. The study presents an analysis of the company’s results before and after the implementation of the knowledge and information management system in a manufacturing company. Moreover, the paper presents an analysis of the company’s operations and defines a strategy for further activities aimed at increasing the financial and operational efficiency of the analysed production company.

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31

Backer, Thomas E. "Information alchemy: Transforming information through knowledge utilization." Journal of the American Society for Information Science 44, no. 4 (1993): 217–21. http://dx.doi.org/10.1002/(sici)1097-4571(199305)44:4<217::aid-asi9>3.0.co;2-d.

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32

Badia, Antonio. "Data, information, knowledge: An information science analysis." Journal of the Association for Information Science and Technology 65, no. 6 (2014): 1279–87. http://dx.doi.org/10.1002/asi.23043.

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33

Dzemyda, Gintautas, and Leonidas Sakalauskas. "Optimization and Knowledge-Based Technologies." Informatica 20, no. 2 (2009): 165–72. http://dx.doi.org/10.15388/informatica.2009.243.

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34

Maurer, Christian, Markus Steiner, and Reinhard Bernsteiner. "How to Improve Information and Knowledge Quality for Business Benefits." Journal of Economics, Business and Management 3, no. 8 (2015): 780–86. http://dx.doi.org/10.7763/joebm.2015.v3.285.

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35

Boschele, Marco. "The “information society” and the role of knowledge in society." AJIT-e: Online Academic Journal of Information Technology 5, no. 14 (2014): 7–13. http://dx.doi.org/10.5824/1309-1581.2014.1.001.x.

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36

Giedra, Haroldas, Jūratė Sakalauskaitė, and Romas Alonderis. "Decidability of Logic of Correlated Knowledge." Informatica 25, no. 4 (2014): 541–50. http://dx.doi.org/10.15388/informatica.2014.28.

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37

ZELENY, MILAN. "KNOWLEDGE OF ENTERPRISE: KNOWLEDGE MANAGEMENT OR KNOWLEDGE TECHNOLOGY?" International Journal of Information Technology & Decision Making 01, no. 02 (2002): 181–207. http://dx.doi.org/10.1142/s021962200200021x.

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Knowledge Technology (KT) is an important new development, extending and ultimately replacing IT. Meaningful and substantial Knowledge Management (KM) is crucially dependent on a useful and operational definition of knowledge. Such notion of knowledge must be clearly differentiated from so called "explicit (or codified) knowledge", i.e. from information. Information, in any form or shape, is not knowledge. While information is a symbolic description of action, knowledge is action itself. The understanding that knowing is doing and doing is knowing comes from the Western philosophical tradition of pragmatism, exemplified by Dewey, Lewis and Polanyi. In this paper, we look at knowledge as a manifest ability of purposeful coordination of action and redefine the purpose of knowledge management as turning information (description) into knowledge (action) and not vice versa. While there can be an information overload, there is never any "knowledge overload".

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38

Dalrymple, Prudence W. "Data, information, knowledge: The emerging field of health informatics." Bulletin of the American Society for Information Science and Technology 37, no. 5 (2011): 41–44. http://dx.doi.org/10.1002/bult.2011.1720370512.

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39

Todd, Ross J. "From Information to Knowledge: The Information Literacy Conundrum." Journal of the Korean Society for Library and Information Science 44, no. 4 (2010): 131–53. http://dx.doi.org/10.4275/kslis.2010.44.4.131.

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40

Ratzan, Scott C. "Health Information: Diffusing Information to Knowledge and Action." Journal of Health Communication 16, no. 9 (2011): 923–24. http://dx.doi.org/10.1080/10810730.2011.619422.

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41

Kovác, Ladislav. "Information and Knowledge in Biology." Plant Signaling & Behavior 2, no. 2 (2007): 65–73. http://dx.doi.org/10.4161/psb.2.2.4113.

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42

INOUE, Hideo. "Knowledge information processing for grinding." Journal of the Japan Society for Precision Engineering 54, no. 8 (1988): 1440–44. http://dx.doi.org/10.2493/jjspe.54.1440.

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43

Yakoviv, Ihor. "Information, signs, knowledge and intelligence." Collection "Information Technology and Security" 8, no. 2 (2020): 191–215. http://dx.doi.org/10.20535/2411-1031.2020.8.2.222605.

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44

Izmailov, A. M., and S. I. Ashmarina. "Mechanism of information resources knowledge." Proceedings of the Voronezh State University of Engineering Technologies, no. 1 (April 13, 2016): 261–66. http://dx.doi.org/10.20914/2310-1202-2016-1-261-266.

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45

Wang, Rui-Zhi, Duo-Qian Miao, Fei-Fei Xu, and Hong-Yun Zhang. "Information interpretation of knowledge granularity." Journal of Intelligent & Fuzzy Systems 24, no. 2 (2013): 395–404. http://dx.doi.org/10.3233/ifs-2012-0570.

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46

Dasgupta, Subrata. "Disentangling data, information and knowledge." Big Data and Information Analytics 1, no. 4 (2017): 377–89. http://dx.doi.org/10.3934/bdia.2016016.

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47

Shaw, Lynn. "Knowledge Transfer: Making Information Work." Work 41, no. 4 (2012): 475–76. http://dx.doi.org/10.3233/wor-2012-1422.

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48

Kim, Namgon. "Knowledge Information Firm’s Corporate Divestitures." Asia-pacific Journal of Convergent Research Interchange 4, no. 1 (2018): 63–70. http://dx.doi.org/10.21742/apjcri.2018.03.07.

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49

Malaska, Pentti. "Knowledge and information in futurology." Foresight 2, no. 2 (2000): 237–44. http://dx.doi.org/10.1108/14636680010802582.

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50

Paton, N. W., C. A. Goble, and S. Bechhofer. "Knowledge based information integration systems." Information and Software Technology 42, no. 5 (2000): 299–312. http://dx.doi.org/10.1016/s0950-5849(99)00090-7.

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