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Knowledge management tutorial: an editorial overview

A. Satyadas, U. Harigopal, N.P. Cassaigne
2001 IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews)  
We present a tutorial on knowledge management (KM) and a roadmap of this special issue around the knowledge life cycle.  ...  Knowledge management is a discipline that provides strategy, process, and technology to share and leverage information and expertise that will increase our level of understanding, to more effectively solve  ...  ACKNOWLEDGMENT The authors would like to thank M. G. Singh for motivating them to co-edit this special issue on knowledge management.  ... 
doi:10.1109/5326.983926 fatcat:4bycs2qg4jekbpqgo6nk5lz7nu

The unacknowledged parentage of knowledge management

Patrick Lambe
2011 Journal of Knowledge Management  
Findings -The current canonical knowledge management literature almost universally ignores significant antecedents to knowledge management thinking and practice dating back to the 1960s.  ...  In many ways, this characterization of improbable newness could be applied to knowledge management in the mid-1990s.  ...  , Organization, and Power: Effective Management in the Knowledge Society (Zand, 1981) .  ... 
doi:10.1108/13673271111119646 fatcat:vkldcockgjagvbq64pwk7lyp5a

From Data to Knowledge to Action: A Global Enabler for the 21st Century [article]

Eric Horvitz, Tom Mitchell
2020 arXiv   pre-print
The data pose a huge opportunity for data-centric analyses. To date, we have only scratched the surface of the potential for learning from these large-scale data sets.  ...  Key advances include jumps in the availability of rich streams of data, precipitous drops in the cost of storing and retrieving massive amounts of data, exponential increases in computing power and memory  ...  Predictive models constructed from historical data have already provided an "optics" onto such hidden states as the potential illnesses lurking behind a patient's symptoms, the durations of traffic jams  ... 
arXiv:2008.00045v1 fatcat:kgv5urdzwrc45g2ly6iqc2vbhu

Expanding Frontiers of Customer Knowledge Management to Sustain Competitive Advantage: The Mediating Role of Predictive Analytics

Diana Chernetska
2017 Eurasian Journal of Business and Management  
Findings indicated specific nature of analytics-generated customer knowledge that challenges the frontiers of customer knowledge management towards integration with data management and information management  ...  Given the peculiarity of such knowledge assets, generated via analytics, it has to be specifically addressed within customer knowledge management.  ...  The latter claims the knowledge about customers being hidden behind the patterns in customer behavioral data within the processes of online interaction.  ... 
doi:10.15604/ejbm.2017.05.01.001 fatcat:7ohht2kvtfe67h5c2f5txa4p7e

How to Tie Everyday Work to Strategy

Mary Lee Kennedy, Malgorzata (Gosia) Stergios
2009 Journal of Information & Knowledge Management  
This may be due to the organization being a unit within a larger organization (and in essence hidden behind the "safe" parent organization).  ...  Research initiatives in healthcare management and the sciences, as well as in social enterprise, leadership and entrepreneurship continue to grow and deliver significant new knowledge for those involved  ... 
doi:10.1142/s0219649209002403 fatcat:lez3evetdvbarhiuxjkko43t7a

Knowledge sharing for development [chapter]

2012 Development Centre Studies  
Key Words: knowledge management for development; civil society partnerships and policy dialogues; information and communications technologies for development; online networks; knowledge networks; community  ...  These usually manifested as obstacles to the benefits of participation and were borne out of the power relations in which participants are enmeshed.  ...  The move towards self-service has enabled some knowledge workers to more actively focus on the production of knowledge products, in some cases following a more techno-centric and agency-centric approach  ... 
doi:10.1787/9789264173897-9-en fatcat:q5ifbfw7dfco3eyiywuqbkfdsm

Efficient Framework of e-Government for Mining Knowledge from Massive Grievance Redressal Data

Sangeetha G, Manjunatha. L Rao
2015 IJARCCE  
The prime reason behind this is grievance data is massive in size and they are highly unstructured.  ...  Because of this fact, the proposed system attempts to understand the possibility of performing knowledge discovery process from grievance Data using conventional data mining algorithms.  ...  Data mining is the core step, which results in the discovery of hidden but useful knowledge from massive databases.  ... 
doi:10.17148/ijarcce.2015.45142 fatcat:slly6h36yvarfnnjscfk4o7tli

Managing Adaptive Versatile environments

G. Michael Youngblood, Diane J. Cook, Lawrence B. Holder
2005 Pervasive and Mobile Computing  
The goal of the MavHome project is to develop technologies to Manage Adaptive Versatile environments.  ...  In this paper, we present a complete agent architecture for a single inhabitant intelligent environment and discuss the development, deployment, and techniques utilized in our working intelligent environments  ...  , behind the couch, inside the television, and so forth.  ... 
doi:10.1016/j.pmcj.2005.08.004 fatcat:k76pnd3mwvckpemq454rmzxeby

International Perspective [chapter]

2005 Dealing with Interests, Values and Knowledge in Managing Risk  
Network on Drug Use (SACENDU) (Parry et al, 1997) , the Canadian Community Epidemiological Network on Drug Use (CCENDU) (e.g.  ...  the response network for ER systems and monitoring generally.  ... 
doi:10.1787/9789264007321-3-en fatcat:ddsewyycejax5j5phewi4hm7cy

Modelling of e-Governance Framework for Mining Knowledge from Massive Grievance Redressal Data

Sangeetha G, L. Manjunatha Rao
2017 International Journal of Advances in Applied Sciences  
The prime reason behind this is grievance data is massive in size and they are highly unstructured.  ...  Because of this fact, the proposed system attempts to understand the possibility of performing knowledge discovery process from grievance Data using conventional data mining algorithms.  ...  The object behind these investment is to improve the efficiency of government function by, especially enabling citizen centric services.  ... 
doi:10.11591/ijaas.v6.i1.pp32-41 fatcat:jalsl6g6uvcuhpmfxiopez6iqq

Fog Computing Service in the Healthcare Monitoring System for Managing the Real-Time Notification

Ahmed Elhadad, Fulayjan Alanazi, Ahmed I. Taloba, Amr Abozeid, Mohamed Elhoseny
2022 Journal of Healthcare Engineering  
In this paper, a new framework for healthcare monitoring for managing real-time notification based on fog computing has been proposed.  ...  One of the necessary qualities of computing systems that can enable the completion of healthcare operations is latency reduction.  ...  In the watermarking process, the data are hidden behind an image without any distortion in its credibility or visibility [30] [31] [32] [33] [34] .  ... 
doi:10.1155/2022/5337733 pmid:35340260 pmcid:PMC8941505 fatcat:zr4uitduibhrpp657fjpbrhide

Big Data in Healthcare Management: A Review of Literature

Senthilkumar SA
2018 American Journal of Theoretical and Applied Business  
This paper reviews the definition, process, and use of big data in healthcare management. Unstructured data are growing very faster than semi-structured and structured data.  ...  A systematic literature review of papers on big data in healthcare published between 2010 and 2015 was conducted.  ...  Acknowledgements The authors are grateful to the editor and anonymous reviewers for those constructive comments and recommendations.  ... 
doi:10.11648/j.ajtab.20180402.14 fatcat:x2ggwhcul5f4jfd56pkuywgbpi

Impacts of Data Mining on Relational Database Management System Centric Business Environments

Md. SajjatulIslam, Md. Zainal Abedin
2013 International Journal of Computer Applications  
The aim of this research is to discover and analyze the crucial impacts of data mining (DM) on relational database management system (RDBMS) centric business domains.  ...  The theme is to clarify the situation of having rich set of data in relational repository with the advancement of storage capacity but no strategic information and knowledge regarding relevant business  ...  The main motivation behind the data mining is to turn the huge amount of data into useful and relevant information and knowledge to assist the decision maker or knowledge worker.  ... 
doi:10.5120/13091-0371 fatcat:mpf523oibncolc3mu7guseooam

A Smart Biometric Identity Management Framework for Personalised IoT and Cloud Computing-Based Healthcare Services

Farnaz Farid, Mahmoud Elkhodr, Fariza Sabrina, Farhad Ahamed, Ergun Gide
2021 Sensors  
This paper proposes a novel identity management framework for Internet of Things (IoT) and cloud computing-based personalized healthcare systems.  ...  Hence, offering some significant improvements to the overall security and privacy of personalized healthcare systems.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s21020552 pmid:33466730 fatcat:6n2tvxgqe5henan6m52k52ki2q

AI and Data Democratisation for Intelligent Energy Management

Vangelis Marinakis, Themistoklis Koutsellis, Alexandros Nikas, Haris Doukas
2021 Energies  
A data democratisation framework for intelligent energy management is presented.  ...  In doing so, it highlights the need for the democratisation of data and analytics in the energy sector, toward making data available for the right people at the right time, allowing them to make the right  ...  It is evident that extensive innovative approaches are needed to assess the knowledge and tools developed over the years and extend them to a holistic, AI-powered, human-centric framework, aimed to optimise  ... 
doi:10.3390/en14144341 fatcat:ne6kxyobjna4hlwck4nyyrxrsm
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