Abstract
The paper raises the issues of Knowledge Workers job and the Knowledge Management Information Systems (KMIS) that support it. The first objective of the paper is to define the notions Knowledge Worker and KMIS - in the form of concept maps. In the paper, the knowledge actions conducted by the Knowledge Workers are also analyzed and the most frequently performed actions are distinguished. The two actions - analysis and information organization, are used as the basis for examination of KMIS quality in terms of Knowledge Workers support. A case study of Moodle platform as a KMIS supporting actions of Knowledge Workers in higher education justifies the conclusions of the support quality of traditional KMIS. With the objective to suggest improvement of the KMIS the authors introduce a design approach for Knowledge-Graph-based Information Systems (KGIS) and describe the general benefits of them, again referring to such knowledge actions as analysis and information organization. The paper also covers the limitations that might relate to a broad implementation of KGIS, connected with infrastructure, technology, organization, and media effects. At the end, the authors present another small case study dealing with the expected support quality of a semantic IT service catalog, prototypically implemented in a German higher education institution.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Davenport, T.H., Prusak, L.: Working Knowledge: How organizations manage what they know. Harvard Business School Press, Boston (2000)
Sajeva, S.: The analysis of key elements of socio-technical knowledge management system. In: Economics and Management, pp. 765–774 (2010). ISSN 1822-6515
Hoq, M.G.K., Akter, R.: Knowledge management in Universities: role of knowledge workers. Bangladesh Journal of Library and Information Science 2(1), 92–102 (2012)
Mohanta, G.C., Kannan, V., Thooyamani, K.P.: Strategies for Improving Productivity of Knowledge Workers - An Overview. Strength Based Strategies, India (2006). http://strengthbasedstrategies.com/papers.htm
Laha, A.: A Theoretical Foundation for Building Knowledge-Work Support Systems. SETLabs, Hyderabad (2008). http://arxiv.org/abs/0910.5386
Drucker, P.F.: Managing in a Time of Great Change. Truman Talley Books/Dutton, New York (1995)
Reinhardt, W., Schmidt, B., Sloep, P., Drachsler, H.: Knowledge worker roles and actions – results of two empirical studies. Knowl. Process Manage. 18(3), 150–174 (2011)
Morello, D., Caldwell, F.: What Are Knowledge Workers? What Makes Them Thick? Gartner Group Research, Note SPA-12-7780 (2001)
Davenport, T.H.: Thinking for a Living: How to Get Better Performances and Results from Knowledge Workers. Harvard Business School Press, Boston (2005)
Figurska, I.: Knowledge workers engagement in work in theory and practice. Hum. Res. Manage. Ergonomic 2(9), 43–59 (2015)
Serrat, O.: Managing Knowledge Workers. Asian Development Bank, Washington (2008). http://digitalcommons.ilr.cornell.edu/intl/146/
Skrzypek, E.: Creativity of Knowledge Workers and Their Impact on Innovativeness of Enterprises (in Polish) (2009). http://www.instytut.info/Vkonf/site/32.pdf
Rizun, M.: Moodle platform as a knowledge management system: results of a questionnaire research. Econ. Stud. Sci. J. Univ. Econ. Katowice, Inf. Econometrics 296(6), 49–63 (2016)
Probst, G., Raub, S., Romhardt, K.: Wie Unternehmen ihre wertvollste Ressource optimal nutzen, 6th edn. Gabler Fachverlag, Wiesbaden (2010)
Maier, R., Hädrich, T.: Centralized versus peer-to-peer knowledge management systems. Mastering Knowl. Organ. Challenges Practices Prospects 13(1), 47–61 (2006)
Wikipedia Deutschland Analyse (2017). https://de.wikipedia.org/wiki/Analyse
Allemang, D., Hendler, J.: Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL. Morgan Kaufmann, Amsterdam (2011)
Sowa, J.F.: Conceptual Structures: Information Processing in Mind and Machine. Addison-Wesley Longman Publishing, Boston (2008)
Stokman, F.N., de Vries, P.H.: Structuring knowledge in a graph. In: van der Veer, C.G., Mulder, G. (eds.) Human-Computer Interaction: Psychonomic Aspects, pp. 186–206. Springer, Heidelberg (1988). doi:10.1007/978-3-642-73402-1_12
Pujara, J., Miao, H., Getoor, L., Cohen, W.: Knowledge Graph Identification. In: Alani, H., et al. (eds.) ISWC 2013. LNCS, vol. 8218, pp. 542–557. Springer, Heidelberg (2013). doi:10.1007/978-3-642-41335-3_34
Blumauer, A.: From Taxonomies over Ontologies to Knowledge Graphs - The Semantic Puzzle (2014). https://blog.semantic-web.at/2014/07/15/
Miao, Q., Meng, Y., Zhang, B.: Chinese enterprise knowledge graph construction based on Linked Data. In: Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015, Anaheim, California, pp. 153–154 (2015)
Galkin, M., Auer, S., Scerri, S.: Enterprise knowledge graphs: a survey. In: 37th International Conference on Information Systems (2016)
Paulheim, H.: Knowledge graph refinement: a survey of approaches and evaluation methods. In: Semantic Web, pp. 1–20 (2016)
Meister, V.G., Jetschni, J., Kreideweiß, S.: Konzept und Prototyp einer dezentralen Wissensinfrastruktur zu Hochschuldaten für Mensch und Maschine (accapted to: Workshop Hochschule 2027 im Rahmen der 47. GI Jahrestagung, Chemnitz) (2017)
Gartner: Gartner’s 2016 Hype Cycle for Emerging Technologies Identifies Three Key Trends That Organizations Must Track to Gain Competitive Advantage (2016). http://www.gartner.com/newsroom/id/3412017
Meister, V.G., Jetschni, J.: Umsetzungskonzepte und Nutzen von IT-Dienste-Katalogen für die IT-Versorgung in Organisationen – Eine Fallstudie im Hochschulumfeld. In: Angewandte Forschung in der Wirtschaftsinformatik. 28. Jahrestagung des AKWI, Luzern, pp. 141–151 (2015)
Saaty, T.L., Vargas, L.G.: Models, Methods, Concepts & Applications of the Analytic Hierarchy Process. Springer, New York (2012). doi:10.1007/978-1-4615-1665-1
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Rizun, M., Meister, V.G. (2017). Analysis of Benefits for Knowledge Workers Expected from Knowledge-Graph-Based Information Systems. In: Wrycza, S., Maślankowski, J. (eds) Information Systems: Research, Development, Applications, Education. SIGSAND/PLAIS 2017. Lecture Notes in Business Information Processing, vol 300. Springer, Cham. https://doi.org/10.1007/978-3-319-66996-0_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-66996-0_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-66995-3
Online ISBN: 978-3-319-66996-0
eBook Packages: Business and ManagementBusiness and Management (R0)