Acta Informatica Pragensia 2020, 9(1), 30-47 | DOI: 10.18267/j.aip.1304773

Knowledge Management-Enabling Technologies: A Supplementary Classification

Monika Dávideková1, Michal Greguš1, Marek Zanker ORCID...2, Vladimír Bureš ORCID...2
1 Department of Information Systems, Faculty of Management, Comenius University, Odbojárov 10, Bratislava, Slovakia
2 Department of Information Technologies, Faculty of Informatics and Management, University of Hradec Králové, Hradecká 1249/6, Hradec Králové, Czech Republic

Scientific and technological developments in informatics enable intensive transformation of data into valuable information. Enriched with context, information may be turned into knowledge, allowing organizations to optimize their processes and profile themselves as learning knowledge organizations. Several classifications of knowledge and knowledge management are available in scientific literature and research publications. In this paper the implementation and application of information and communication technology in knowledge management is being assessed from the perspective of synchrony and mutual interaction among collaborating parties.  Following the PRISMA scheme, a systematic review procedure using Scopus and Web of Science databases was conducted. Obtained manuscripts underwent manual content analysis. The outcome of this analysis represents the classification of widespread ICTs into diverse categories based on extensive literature research. It specifies an original type of classification by connecting intertwined synchronicity and interaction as the main classification criteria, and it provides examples of commonly used ICTs in business practice. The introduced classification aims to deepen the comprehension of ICTs, which may lead to improved efficiency and/or eligibility of technological implementations and applications of knowledge management based on the undeniably enormous benefits of the use of ICTs in processing of business operations.

Keywords: Knowledge Management, Information and Communication Technology, Classification, Knowledge, Synchrony, Interaction

Received: May 22, 2020; Revised: June 19, 2020; Accepted: June 26, 2020; Prepublished online: June 26, 2020; Published: July 29, 2020  Show citation

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Dávideková, M., Greguš, M., Zanker, M., & Bureš, V. (2020). Knowledge Management-Enabling Technologies: A Supplementary Classification. Acta Informatica Pragensia, 9(1), 30-47. doi: 10.18267/j.aip.130
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    References

    1. Aitken, S. C. (1994). I'd rather watch the movie than read the book. Journal of Geography in Higher Education, 18(3), 291-307. https://doi.org/10.1080/03098269408709269 Go to original source...
    2. Alavi, M., & Leidner, D. (1999). Knowledge Management Systems: Issues, Challenges, and Benefits. Communications of the Association for Information Systems, 1, 1-37. https://doi.org/10.17705/1CAIS.00107 Go to original source...
    3. Alavi, M., & Leidner, D. E. (2001). Review: Knowledge Management and Knowledge Management Systems: Conceptual Foundations and Research Issues. MIS Quarterly, 25(1), 107-136. https://doi.org/10.2307/3250961 Go to original source...
    4. Aldrich, C. (2005). Learning by doing: A comprehensive guide to simulations, computer games, and pedagogy in e-learning and other educational experiences (1st ed.). Pfeiffer. Go to original source...
    5. Alfonso-Cendon, J., Fernandez-de-Alba, J.M., Fuentes-Fernandez, R., & Pavon, J. (2016). Implementation of context-aware workflows with multi-agent systems. Neurocomputing, 176(SI), 91-97. https://doi.org/10.1016/j.neucom.2014.10.098 Go to original source...
    6. Al-Rodhan, N. R. F. (2011). Information and Communications Technology (ICT). In J. Zielonka & O. Anastasakis (Eds.), The Politics of Emerging Strategic Technologies (pp. 18-46). Palgrave Macmillan UK. https://doi.org/10.1057/9780230304949_3 Go to original source...
    7. Babajani-Vafsi, S., Nouri, J.M., Ebadi, A., & Zolfaghari, M. (2019). Factors Influencing the Participation of Nurses in Knowledge-Sharing Within Mobile Instant Messaging Based Virtual Communities of Practice: A Qualitative Content Analysis. Advances in Medical Education and Practice, 10, 897-905. https://doi.org/10.2147/AMEP.S222779 Go to original source...
    8. Battistutti, O.S., & Bork, D. (2017). Tacit to explicit knowledge conversion. Cognitive Processing, 18, 461-477. https://doi.org/10.1007/s10339-017-0825-6 Go to original source...
    9. Borkowski, M., Fdhila, W., Nardelli, M., Rinderle-Ma, S., & Schulte, S. (2019). Event-based failure prediction in distributed business processes. Information Systems, 81, 220-235. https://doi.org/10.1016/j.is.2017.12.005 Go to original source...
    10. Boluki, S., Eshafani, M.S., Qian, X., & Dougherty, E.R. (2017). Incorporating biological prior knowledge for Bayesian learning via maximal knowledge-driven information priors. BMC Bioinformatics, 18, article number 552. https://doi.org/10.1186/s12859-017-1893-4 Go to original source...
    11. Brunet-Thornton, R., & Bureš, V. (2012). Meeting Czech Knowledge Management Challenges Head-On: KM-Be. At-It. In M. Khosrow-Pour (Ed.) Organizational Learning and Knowledge: Concepts, Methodologies, Tools and Applications (pp. 1596-1622). IGI Global. Go to original source...
    12. Bureš, V., & Tučník, P. (2014). Complex agent-based models: application of a constructivism in the economic research. Economics and Management, 17(3), 152-168. http://doi.org/10.15240/tul/001/2014-3-012 Go to original source...
    13. Cherbakov, L., Galambos, G., Harishankar, R., Kalyana, S., & Rackham, G. (2005). Impact of service orientation at the business level. IBM Systems Journal, 44(4), 653-668. https://doi.org/10.1147/sj.444.0653 Go to original source...
    14. Chierici, R., Mazzucchelli, A., Garcia-Perez, A., & Vrontis, D. (2019). Transforming big data into knowledge: the role of knowledge management practice. Management Decision, 57(8), 1902-1922. https://doi.org/10.1108/MD-07-2018-0834 Go to original source...
    15. Chinta, R., & Das, S. (2005). Application server message logging (United States Patent No. US6879995B1). https://patents.google.com/patent/US6879995/en
    16. Chung, K.C., & Liang, S.W.J. (2020). An empirical study of social network activities via social internet of things (SIoT). IEEE Access, 8, 48652-48659. https://doi.org/10.1109/ACCESS.2020.2978151 Go to original source...
    17. Chuvakin, A., & Peterson, G. (2010). How to Do Application Logging Right. IEEE Security & Privacy Magazine, 8(4), 82-85. https://doi.org/10.1109/MSP.2010.127 Go to original source...
    18. Constantinescu, C.L., Francalanza, E., & Matarazzo, D. (2015). Towards knowledge capturing and innovative human-system interface in an open-source factory modelling and simulation environment. Procedia CRIP, 33, 23-28. https://doi.org/10.1016/j.procir.2015.06.006 Go to original source...
    19. Costa, B., Das, C. P., & Kepner, W. C. (2000). Network management event storage and manipulation using relational database technology in a data warehouse (United States Patent No. US6138121A). https://patents.google.com/patent/US6138121/en
    20. Dávideková, M., & Hvorecky, J. (2017). ICT collaboration tools for virtual teams in terms of the SECI model. International Journal of Engineering Pedagogy, 7(1), 95-116. https://doi.org/10.3991/ijep.v7i1.6502 Go to original source...
    21. Dávideková, M., & Greguš, M. (2016). Software Application Logging: Aspects to Consider by Implementing Knowledge Management. In Proceedings of the 2nd International Conference on Open and Big Data (pp. 102-107). IEEE. https://doi.org/10.1109/OBD.2016.22 Go to original source...
    22. Dávideková, M., Mjartan, M., & Greguš, M. (2017). Utilization of Virtual Reality in Education of Employees in Slovakia. Procedia Computer Science, 113, 253-260. https://doi.org/10.1016/j.procs.2017.08.365 Go to original source...
    23. Dávideková, M., Greguš, M., Zanker, M., & Bureš, V. (2020). Synchronicity and Interaction Perspective on Knowledge Management Initiatives. In Proceedings of the International scientific conference Hradec Economic Days 2020, (pp. 77-84). University of Hradec Kralove. http://doi.org/10.36689/uhk/hed/2020-01-009 Go to original source...
    24. Desouza, K. C. (2003). Barriers to effective use of knowledge management systems in software engineering. Communications of the ACM, 46(1), 99-101. https://doi.org/10.1145/602421.602458 Go to original source...
    25. Dixon, B. (1991, January). Learning by Singing. https://files.eric.ed.gov/fulltext/ED356939.pdf
    26. DuFour, R., Eaker, R., & Many, T. (2006). Learning by doing: A handbook for professional learning communities at work (1st ed.). Solution Tree.
    27. Farrasis, A., Mazzoleni, A., Devalle, A., & Couturier, J. (2019). Big data analytics capabilities and knowledge management: impact on firm performance. Management Decision, 57(8), 1923-1936. https://doi.org/10.1108/MD-07-2018-0825 Go to original source...
    28. Foray, D., & Lundvall, B.-Å. (1998). The Knowledge-Based Economy: From the Economics of Knowledge to the Learning Economy. In D. Neef, G. A. Siesfeld & J. Cefola (Eds.) The Economic Impact of Knowledge (pp. 115-121). Elsevier. https://doi.org/10.1016/B978-0-7506-7009-8.50011-2 Go to original source...
    29. Goëau, H., Vignau, C., Barthélémy, D., Boujemaa, N., Bonnet, P., Joly, A., Affouard, A., Bakic, V., Barbe, J., Dufour, S., Selmi, S., & Yahiaoui, I. (2014). Pl@ntNet Mobile 2014: Android port and new features. In Proceedings of International Conference on Multimedia Retrieval (pp. 527-528). ACM. https://doi.org/10.1145/2578726.2582618 Go to original source...
    30. Gonçalves, P., Ferreira, L., Gonçalves, J., Putnik, G. D., & Cruz-Cunha, M. M. (2014). Direct Communication versus Virtual Communication in Virtual Teams. Procedia Technology, 16, 3-10. https://doi.org/10.1016/j.protcy.2014.10.062 Go to original source...
    31. Grauert, H., & Remmert, R. (2012). Coherent analytic sheaves (265th ed.). Springer Science & Business Media.
    32. Han, J., Kamber, M., & Pei, J. (2012). Data mining: Concepts and techniques (3rd ed.). Elsevier.
    33. Hendriks, P. H. J. (2001). Many Rivers to Cross: From Ict to Knowledge Management Systems. Journal of Information Technology, 16(2), 57-72. https://doi.org/10.1080/02683960110054799 Go to original source...
    34. Hidalgo Pérez, M. A., O׳Kean Alonso, J. M., & Rodríguez López, J. (2016). Labor demand and ICT adoption in Spain. Telecommunications Policy, 40(5), 450-470. https://doi.org/10.1016/j.telpol.2015.07.004 Go to original source...
    35. Hroník, F. (2007). Rozvoj a vzdělávání pracovníků. Grada.
    36. Huysman, M., & de Wit, D. (2004). Practices of managing knowledge sharing: Towards a second wave of knowledge management. Knowledge and Process Management, 11(2), 81-92. https://doi.org/10.1002/kpm.192 Go to original source...
    37. Inmon, W. H. (2005). Building the data warehouse (4th ed). Wiley.
    38. Jarmooka, Q., Fulford, R.G., Morris, R., & Barratt-Pugh, L. (2020). The mapping of information and communication technologies, and knowledge management processes, with company innovation. Journal of Knowledge Management, ahead-of-print, preprint available. https://doi.org/10.1108/JKM-01-2020-0061 Go to original source...
    39. Johannessen, J.-A., Olaisen, J., & Olsen, B. (2001). Mismanagement of tacit knowledge: The importance of tacit knowledge, the danger of information technology, and what to do about it. International Journal of Information Management, 21(1), 3-20. https://doi.org/10.1016/S0268-4012(00)00047-5 Go to original source...
    40. Jorgenson, D. W., & Vu, K. M. (2016). The ICT revolution, world economic growth, and policy issues. Telecommunications Policy, 40(5), 383-397. https://doi.org/10.1016/j.telpol.2016.01.002 Go to original source...
    41. Kluza, K., & Nalepa, G. (2019). Formal model of business processes integrated with business rules. Information Systems Frontiers, 21, 1167-1185. https://doi.org/10.1007/s10796-018-9826-y Go to original source...
    42. Krötzsch, M., & Vrandecic, D. (2009). Semantic Wikipedia. In A. Blumauer & T. Pellegrini (Eds.), Social Semantic Web (pp. 393-421). Springer. https://doi.org/10.1007/978-3-540-72216-8_19 Go to original source...
    43. Kumar, R. R., Stauvermann, P. J., & Samitas, A. (2016). The effects of ICT⁎ on output per worker: A study of the Chinese economy. Telecommunications Policy, 40(2-3), 102-115. https://doi.org/10.1016/j.telpol.2015.06.004 Go to original source...
    44. Levin, D. Z., & Cross, R. (2004). The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer. Management Science, 50(11), 1477-1490. https://doi.org/10.1287/mnsc.1030.0136 Go to original source...
    45. Liao, C.N., & Kao, H.P. (2014). A QFD approach for cloud computing evaluation and selection in KMS: a case study. International Journal of Computational Intelligence Systems, 7(5), 896-908. https://doi.org/10.1080/18756891.2014.960233 Go to original source...
    46. Lin, D., Liang, Q., Xu, Z., Li, R., & Xie, W. (2008). Does knowledge management matter for information technology applications in China? Asia Pacific Journal of Management, 25(3), 489-507. https://doi.org/10.1007/s10490-008-9087-2 Go to original source...
    47. Linde, C. (2001). Narrative and social tacit knowledge. Journal of Knowledge Management, 5(2), 160-171. https://doi.org/10.1108/13673270110393202 Go to original source...
    48. Ludke, K. M., Ferreira, F., & Overy, K. (2014). Singing can facilitate foreign language learning. Memory & Cognition, 42(1), 41-52. https://doi.org/10.3758/s13421-013-0342-5 Go to original source...
    49. Maier, R., & Hädrich, T. (2011). Knowledge management systems. In D. Schwartz & D. Te'eni (Eds.) Encyclopedia of Knowledge Management (2nd ed.) (pp. 779-790). IGI Global. Go to original source...
    50. Marty, R. (2011). Cloud application logging for forensics. In Proceedings of the 2011 ACM Symposium on Applied Computing (pp. 178-184). ACM. https://doi.org/10.1145/1982185.1982226 Go to original source...
    51. Mattingly I. G. (1972). Reading, the linguistic process, and linguistic awareness. In Language by Ear and by Eye (pp. 133-147). MIT Press.
    52. Morris, P., & Reid, R. (1970). The repeated use of mnemonic imagery. Psychonomic Science, 20(6), 337-338. Go to original source...
    53. Nancy, W., Parimala, A., & Livingston, L.M.M. (2020). Advanced teaching pedagogy as innovative approach in modern education system. Procedia Computer Science, 172, 382-288. https://doi.org/10.1016/j.procs.2020.05.059 Go to original source...
    54. Nguyen, T., & Burgess, S. (2014). A case analysis of ICT for knowledge transfer in small businesses in Vietnam. International Journal of Information Management, 34(3), 416-421. https://doi.org/10.1016/j.ijinfomgt.2014.02.009 Go to original source...
    55. Nonaka, I., & von Krogh, G. (2009). Perspective-Tacit Knowledge and Knowledge Conversion: Controversy and Advancement in Organizational Knowledge Creation Theory. Organization Science, 20(3), 635-652. https://doi.org/10.1287/orsc.1080.0412 Go to original source...
    56. O'Leary, D. E. (1998). Knowledge-Management Systems: Converting and Connecting. IEEE Intelligent Systems and Their Applications, 13(3), 30-33. https://doi.org/10.1109/MIS.1998.683179 Go to original source...
    57. Otčenášková, T., Bureš, V., & Čech, P. (2011). Conceptual modelling for management of public health in case of emergency situations. In Proceedings of the International Conference on Knowledge Engineering and Ontology Development, (pp. 344-348). https://doi.org/10.5220/0003623503440348 Go to original source...
    58. Paivio, A., Rogers, T. B., & Smythe, P. C. (1968). Why are pictures easier to recall than words? Psychonomic Science, 11(4), 137-138. Go to original source...
    59. Panahi, S., Watson, J., & Partridge, H. (2012). Social media and tacit knowledge sharing: Developing a conceptual model. World Academy of Science, Engineering and Technology, 64, 1095-1102.
    60. Pavlo, A., Paulson, E., Rasin, A., Abadi, D. J., DeWitt, D. J., Madden, S., & Stonebraker, M. (2009). A comparison of approaches to large-scale data analysis. In Proceedings of the 35th SIGMOD International Conference on Management of Data (pp. 165-178). ACM. https://doi.org/10.1145/1559845.1559865 Go to original source...
    61. Raman, M., Ryan, T., & Olfman, L. (2005). Designing knowledge management systems for teaching and learning with wiki technology. Journal of Information Systems Education, 16, 311-320.
    62. Rashid, M., Clarke, P.M., & O'Connor, R.V. (2019). A systematic examination of knowledge loss in open source software projects. International Journal of Information Management, 46, 104-123. Go to original source...
    63. Raudeliuniene, J., & Davidavicius, S. (2017). A conceptual model of assessment of knowledge transfer to consumer. Business Management and Education, 15(2), 174-195. https://doi.org/10.3846/bme.2017.387 Go to original source...
    64. Reddy, G. S., Srinivasu, R., Rao, M. P. C., & Rikkula, S. R. (2010). Data warehousing, data mining, OLAP and OLTP technologies are essential elements to support decision-making process in industries. International Journal on Computer Science and Engineering, 2(9), 2865-2873.
    65. Selamat, M.H., & Choudrie, J. (2004). The diffusion of tacit knowledge and its implications on information systems: The role of meta-abilities. Journal of Knowledge Management, 8, 128-139. Go to original source...
    66. Schank, R. C., Berman, T. R., & Macpherson, K. A. (1999). Learning by doing. In C. M. Reigeluth (Ed.) Instructional-Design Theories and Models: A New Paradigm of Instructional Theory (pp. 161-181). Routledge.
    67. Simon, M. (2013). Support of acquisition of recognition of mushroom images. In Proceedings of CESCG 2013: The 17th Central European Seminar on Computer Graphics (pp. 1-8). CESCG.
    68. Smith, E. A. (2001). The role of tacit and explicit knowledge in the workplace. Journal of Knowledge Management, 5(4), 311-321. https://doi.org/10.1108/13673270110411733 Go to original source...
    69. Suneetha, K. R., & Krishnamoorthi, D. R. (2009). Identifying User Behavior by Analyzing Web Server Access Log File. International Journal of Computer Science and Network Security, 9(4), 327-332.
    70. Takhom, A., Usanavasin, S., Supnithi, T., & Ikeda, M. (2018). Collaborative Ontology Development Approach for Multidisciplinary Knowledge: A Scenario-Based Knowledge Construction System in Life Cycle Assessment. IEICE Transactions on Information and Systems, E101D(4), 892-900. Go to original source...
    71. Tan, C.F., Wahidin, L.S., Khalil, S.N., Tamaldin, N., Hu, J., & Rauterberg, G.W.M. (2016). The application of expert systems: a review of research and applications. ARPN Journal of Engineering and Applied Sciences, 11(4), 2448-2453.
    72. Taylor, S. J., Bogdan, R., & DeVault, M. L. (2015). Introduction to qualitative research methods: A guidebook and resource (4th ed.). John Wiley & Sons, Inc. Go to original source...
    73. Tučník, P., & Bureš, V. (2013). Inclusion of complexity: Modelling enterprise business environment by means of agent-based simulation. International Review on Modelling and Simulations, 6(5), 1709-1717.
    74. Tuomi, I. (1999). Data Is More than Knowledge: Implications of the Reversed Knowledge Hierarchy for Knowledge Management and Organizational Memory. Journal of Management Information Systems, 16(3), 103-117. https://doi.org/10.1080/07421222.1999.11518258 Go to original source...
    75. Völkel, M., Krötzsch, M., Vrandecic, D., Haller, H., & Studer, R. (2006). Semantic Wikipedia. In Proceedings of the 15th International Conference on World Wide Web (pp. 585-594). ACM. https://doi.org/10.1145/1135777.1135863 Go to original source...
    76. Wheeler, J., & Fournier, L. (2001). Working in the Asynchronous Environment: Two Case Studies. Journal of Library Administration, 32(1-2), 425-438. https://doi.org/10.1300/J111v32n01_16 Go to original source...
    77. Woo, J.-H., Clayton, M. J., Johnson, R. E., Flores, B. E., & Ellis, C. (2004). Dynamic Knowledge Map: Reusing experts' tacit knowledge in the AEC industry. Automation in Construction, 13(2), 203-207. https://doi.org/10.1016/j.autcon.2003.09.003 Go to original source...

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