Internet Support for Knowledge Management Systems

2011 ◽  
pp. 564-570 ◽  
Author(s):  
Murray E. Jennex

Organizations are building and maintaining systems for managing organizational knowledge and memory. Users of these systems may not be at the same location; in many cases they are distributed across large geographical distances and multiple offices. Key to this task is developing an infrastructure that facilitates distributed access and utilization of the retained knowledge and memory. Connectivity and easy to use interfaces are main concerns. Jennex (2000) found that using the Internet as a common communications platform (either as an Intranet or an Extranet) and Web browsers as an interface is a viable, low cost solution. Newell, et al. (1999) found that Intranets not only supported distributed knowledge processes but also enhanced users’ abilities to capture and control knowledge. Stenmark (2002) proposes that using a multiple perspective of the Internet— information, awareness, and communication—allows developers to build successful Internet-based knowledge management systems, KMS. This article discusses how the Internet can be effectively used as an infrastructure for knowledge management/organizational memory systems, KMS/OMS.

Author(s):  
Murray E. Jennex

Organizations are building and maintaining systems for managing organizational knowledge and memory. Users of these systems may not be at the same location; in many cases they are distributed across large geographical distances and multiple offices. Key to this task is developing an infrastructure that facilitates distributed access and utilization of the retained knowledge and memory. Connectivity and easy to use interfaces are main concerns. Jennex (2000) found that using the Internet as a common communications platform (either as an Intranet or an Extranet) and Web browsers as an interface is a viable, low cost solution. Newell, et al. (1999) found that Intranets not only supported distributed knowledge processes but also enhanced users’ abilities to capture and control knowledge. Stenmark (2002) proposes that using a multiple perspective of the Internet— information, awareness, and communication—allows developers to build successful Internet-based knowledge management systems, KMS. This article discusses how the Internet can be effectively used as an infrastructure for knowledge management/organizational memory systems, KMS/OMS.


2003 ◽  
pp. 132-146 ◽  
Author(s):  
Murray E. Jennex

Studies of organizational memory/ knowledge management, OM/KM, systems have found that using a common infrastructure to facilitate access to and utilization of knowledge and memory increases the usability and success of these systems. The solution to this is for organizations to have an integrated network. This paper discusses using the Internet as the integrated network. Several systems are described that use the Internet for the OM/KM infrastructure. Theoretical support from case study research for using the Internet as a common knowledge infrastructure is provided through DeLone and McLean’s IS Success Model modified and analyzed for knowledge/memory based systems.


2011 ◽  
pp. 32-40 ◽  
Author(s):  
Murray E. Jennex

Alavi and Leidner (2001, p. 114) defined knowledge management systems (KMSs) as “IT-based systems developed to support and enhance the organizational processes of knowledge creation, storage/retrieval, transfer, and application.” They observed that not all KM initiatives will implement an IT solution, but they support IT as an enabler of KM. Maier (2002) expanded on the IT concept for the KMS by calling it an ICT system that supported the functions of knowledge creation, construction, identification, capturing, acquisition, selection, valuation, organization, linking, structuring, formalization, visualization, distribution, retention, maintenance, refinement, evolution, access, search, and application. Stein and Zwass (1995) define an organizational memory information system (OMIS) as the processes and IT components necessary to capture, store, and bring to bear knowledge created in the past on decisions currently being made. Jennex and Olfman (2004) expanded this definition by incorporating the OMS into the KMS and adding strategy and service components to the KMS.


Author(s):  
Murray E. Jennex

Alavi and Leidner (2001, p. 114) defined knowledge management systems (KMSs) as “IT-based systems developed to support and enhance the organizational processes of knowledge creation, storage/retrieval, transfer, and application.” They observed that not all KM initiatives will implement an IT solution, but they support IT as an enabler of KM. Maier (2002) expanded on the IT concept for the KMS by calling it an ICT system that supported the functions of knowledge creation, construction, identification, capturing, acquisition, selection, valuation, organization, linking, structuring, formalization, visualization, distribution, retention, maintenance, refinement, evolution, access, search, and application. Stein and Zwass (1995) define an organizational memory information system (OMIS) as the processes and IT components necessary to capture, store, and bring to bear knowledge created in the past on decisions currently being made. Jennex and Olfman (2004) expanded this definition by incorporating the OMS into the KMS and adding strategy and service components to the KMS.


2010 ◽  
Vol 09 (03) ◽  
pp. 291-302 ◽  
Author(s):  
Jan Aidemark

The paper presents a strategic planning approach for knowledge management systems. This research approaches the problem of failing KMS's by focusing on the planning phase. The result can be summarised as a set of frameworks for the strategic planning of knowledge management systems, i.e. information systems for the support of organisational knowledge processes. The approach is built on a broad set of theory, which has been used to discuss issues in KM/KMS from very broad perspectives. We approach the problem area from a strategic point of view, assuming that the problems of the area are based on a socio-technical dimension and that a multiple-paradigm approach is necessary for dealing with the problems of the various KM areas.


2011 ◽  
pp. 216-227
Author(s):  
Murray E. Jennex

Studies of organizational memory/ knowledge management, OM/KM, systems have found that using a common infrastructure to facilitate access to and utilization of knowledge and memory increases the usability and success of these systems. The solution to this is for organizations to have an integrated network. This paper discusses using the Internet as the integrated network. Several systems are described that use the Internet for the OM/KM infrastructure. Theoretical support from case study research for using the Internet as a common knowledge infrastructure is provided through DeLone and McLean’s IS Success Model modified and analyzed for knowledge/memory based systems.


Author(s):  
Murray E. Jennex

Alavi and Leidner (2001, p. 114) defined knowledge management systems (KMSs) as “IT-based systems developed to support and enhance the organizational processes of knowledge creation, storage/retrieval, transfer, and application.” They observed that not all KM initiatives will implement an IT solution, but they support IT as an enabler of KM. Maier (2002) expanded on the IT concept for the KMS by calling it an ICT system that supported the functions of knowledge creation, construction, identification, capturing, acquisition, selection, valuation, organization, linking, structuring, formalization, visualization, distribution, retention, maintenance, refinement, evolution, access, search, and application. Stein and Zwass (1995) define an organizational memory information system (OMIS) as the processes and IT components necessary to capture, store, and bring to bear knowledge created in the past on decisions currently being made. Jennex and Olfman (2004) expanded this definition by incorporating the OMS into the KMS and adding strategy and service components to the KMS.


Author(s):  
Mariusz Żytniewski

Knowledge management in an organisation is a key activity that aims to improve the organisation's competitiveness through gathering, processing, storing, and sharing of organisational knowledge. Socio-technical solutions designed to support knowledge management are systems for managing knowledge in an organisation. IT systems can support employees in their knowledge processes as well as independently generate, process, and codify knowledge, thus supporting the processes of organisational learning and development of knowledge bases. The cyclical and recurrent character of activities, both in terms of the interactions between process participants in organisations and actions of IT systems themselves, can be perceived in terms of autopoiesis, which explains the significance of knowledge management systems in organisational knowledge processing. The aim of this chapter is to analyse a knowledge management system through the lens of autopoietic perception of the activities taking place in an organisation, which are performed in poietic space.


Author(s):  
Fernando Soares Rocha Júnior ◽  
Vânia Meneghini da Rocha ◽  
Marcelo Macedo

O objetivo central deste artigo é tentar compreender por meio da visão dos colaboradores de uma pequena empresa de produtos ortopédicos, as suas principais percepções, relacionadas ao compartilhamento de conhecimento organizacional. O método escolhido para a pesquisa é qualitativo com a tipologia qualitativa básica. Para a análise de resultados, foi utilizada a técnica de análise temática de Braun e Clarke. Os principais resultados encontrados demonstram que o compartilhamento de conhecimento na organização é realizado por intermédio da utilização das tecnologias de comunicações comuns ao público, assim como, com a realização frequente da técnica de brainstorming, conversas rápidas e outras estratégias para resolução de problemas conforme identificados nesta pesquisa. Referências Alavi, M., & Leidn, D. E. (2001). Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 25, 107–136. Allameh, S. M.; Khozani, M. K.; Baniasadi, B. (2020) Consequences of knowledge processes in small businesses: the role of knowledge acquisition, dynamic capabilities, knowledge sharing and creativity. Int. J. Process Management and Benchmarking, Vol. 10, No. 1. Braun, V.; Clarke, V. (2012) Thematic analysis. In: Cooper, H. et al. (Eds.). APA handbook of research methods in psychology, v. 2, Research designs: Quantitative, qualitative, neuropsychological, and biological. Washington, DC: American Psychological Association, v. 2 p. 57-71. Creswell, J. W. (2007) Projeto de pesquisa: Métodos qualitativo, quantitativo e misto. 2. ed. Porto Alegre: Artmed. Cummings, J. (2003) Knowledge Sharing: A Review of the Literature. Washington D. C.: The World Bank Operations Evaluation Department. Dalkir, K. (2005) Knowledge Management in Theory and Practice. Oxford, UK:  Elsevier. Drucker, P. F. (1993) Sociedade Pós-Capitalista. São Paulo: Pioneira. Gold H. A.; Malhotra, A; Segars, A, H.; (2001). Knowledge management: An Organizational Capabilities Perspective. Journal of Management Information Systems, 18 (1), 185-214. Gray, C. (2006). Absorptive capacity, knowledge management and innovation in entrepreneurial small firms. International Journal of Entrepreneurial Behavior & Research, 12 (6),345-360. Harel, R.; Schwartz, D.; Kaufmann, D. (2020) Sharing knowledge processes for promoting innovation in small businesses. European Journal of Innovation Management. ISO 30401:2018. (2018) International Organization For Standardization. Knowledge Management Systems – Requirements. Genebra: ISO. Kayas, O, G.; Wright, G. (2018) Knowledge Management and Organisational Culture. The Palgrave Handbook of Knowledge Management. ISBN 978-3-319-71434-9 (eBook). Merriam, S. B. (2009) Qualitative research: a guide to design and implementation. San Francisco: Jossey-Bass/Wiley, 2009. Morgan, G. (1980) Paradigms, metaphors, and puzzle solving in organization theory. Administrative Science Quarterly, v. 25, n. 4, p. 605-622. Na Ubon, A.; Kimble, C. (2002) Knowledge Management in Online Distance Education. Proceedings of the 3rd International Conference Networked Learning, University of Sheffield, UK, pp. 465-473. Ngah e Ibrahim (2010). The Effect of Knowledge Sharing on Organizational Performance in Small and Medium Enterprises. Santos, N.; Rados, G. J. V. (2020) Fundamentos teóricos de gestão do conhecimento. E-book. – 1. ed. – Florianópolis: Pandion, 114 p. Takeuchi, H.; Nonaka, I. (2008) Criação e dialética do conhecimento. In: Takeuchi, H.; Nonaka, I. Gestão do conhecimento. Porto Alegre: Bookman. Utami, Y.; Rofik, M.; Cahyaningtyas, N. W.; Darminto, D. P. (2021). Impact of Knowledge Sharing and Innovation on Small Business Performance. CISIS 2020: Complex, Intelligent and Software Intensive Systems pp 408-411.  


2017 ◽  
Vol 5 (2) ◽  
pp. 76-91
Author(s):  
Marcin Soniewicki

This article aims to analyze the role of knowledge management systems (KMS) in knowledge processes taking place in particular types of service industry companies operating in Poland and checks the importance of these tools for such firms’ competitiveness in the current globalized world. This study distinguishes among companies that operate only locally (in Poland), and those that are on particular levels of internationalization process. This article is based on quantitative research in which 381 service industry firms were examined. The analysis show relatively large differences in the intensity of KMS usage among particular groups of service industry companies. These tools are especially intensively used by information technology (IT) and telecommunication as well as transport companies, and, in turn, less intensively by real estate as well as hotel and restaurant enterprises. Analysis has also shown that intensity of KMS usage among firms on any level of internationalization is considerably higher than among those operating locally. However, the most important finding is that intensive use of KMS in service companies is associated with being more competitive than those using KMS less intensely, and this difference is statistically significant.


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