From knowledge workers to knowledge managing systems: An exercise in transferring experience with knowledge-based systems into knowledge management

Author(s):  
Jozef Kelemen
Author(s):  
Meir Russ ◽  
J. Greg Jones ◽  
Jeannette K Jones

Knowledge management strategies and implementation of knowledge-based systems have gained importance over the last decade. However, many organizations are not able to develop “winning” knowledge-based strategies and others waste signifi- cant monies when the knowledge-based systems they invest in fail to produce the desired results. To address the challenges faced by these organizations, a recently developed framework for strategic dilemmas was proposed by Russ, Jones, and Fineman (2006) to aid in the development of knowledge-based (KB) strategies. The framework (C3EEP) identifies six dilemmas that organizations should balance when considering their knowledge management and business strategies. Examples of such dilemmas include the balance between concealment (secrecy) vs. transparency, complementary vs. destroying, and the balance between exploitation and exploration. The framework compliments the six stages in the life cycle of KB systems (KBS) as identified by the academic literature that discusses the development and implementation of KBS from the information systems (IS) perspective (e.g., Lytras, Pouloudi, & Poulymenakou, 2002; Nissen, Kamel, & Sengupta, 2000). This interaction/ linkage between KB strategies and systems is crucial for the success of both. Academic research supports the complex relationship between the two. However, there is no conclusive formula for managing this relationship to achieve success. The purpose of this study will be to identify crossovers between the two streams (strategy and systems) of research by using a systematic literature review. For example, is the academic literature focusing mostly on the learning aspect (late stage in the life cycle) of the exploration strategy while largely ignoring the discussion about attracting the appropriate knowledge (early stage in the life cycle) for this kind of strategy? Or does the academic literature focus on populating a KBS with appropriate complementary knowledge while largely ignoring the dynamics of the transfer of destroying knowledge (learning aspect)? The authors hope to accomplish three goals in this study: (1) to continue the validation of the two (C3EEP and KBS life cycle) frameworks; (2) to identify new research opportunities; and (3) to focus managerial attention on areas of importance in KB strategies and systems that lack depth of academic discussion.


Terminology ◽  
2005 ◽  
Vol 11 (1) ◽  
pp. 55-81 ◽  
Author(s):  
Lee Gillam ◽  
Mariam Tariq ◽  
Khurshid Ahmad

This paper discusses a method for corpus-driven ontology design: extracting conceptual hierarchies from arbitrary domain-specific collections of texts. These hierarchies can form the basis for a concept-oriented (onomasiological) terminology collection, and hence may be used as the basis for developing knowledge-based systems using ontology editors. This reference to ontology is explored in the context of collections of terms. The method presented is a hybrid of statistical and linguistic techniques, employing statistical techniques initially to elicit a conceptual hierarchy, which is then augmented through linguistic analysis. The result of such an extraction may be useful in information retrieval, knowledge management, or in the discipline of terminology science itself.


2010 ◽  
Vol 108-111 ◽  
pp. 123-128
Author(s):  
Ting Zeng

Knowledge management and knowledge engineering is two important concepts, in recent years. Knowledge Engineering is the engineering solution of the system, emphasizing the process of the acquisition of knowledge and knowledge on behalf of knowledge-based systems in the uncertain process requirements. The purpose of this paper is to discuss how to use the basic principles of knowledge engineering in order to promote knowledge management.


2019 ◽  
Vol 7 (4) ◽  
pp. 18-20
Author(s):  
Arunava Ghosh

Expert systems are computer systems that help the computers to make decisions based on a pre-requisite knowledge database. For a competitive advantage, marketing plays an important role. Environment changes needs to be monitored and necessary changes are to be made in an organization. An efficient knowledge management system is required to acquire, store and retrieve the knowledge when needed (Moradi et al., 2013). When these systems acquire knowledge from several sources rather than from a single source, such systems are knowledge-based systems (Luconi et al., 1986).


PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261573
Author(s):  
Fazal ur Rehman ◽  
Hishamuddin Ismail ◽  
Basheer M. Al Ghazali ◽  
Muhammad Mujtaba Asad ◽  
Muhammad Saeed Shahbaz ◽  
...  

Drucker’s knowledge-worker productivity theory and knowledge-based view of the firm theory are widely employed in many disciplines but there is little application of these theories in knowledge-based innovation among academic researchers. Therefore, this study intends to evaluate the effects of the knowledge management process on knowledge-based innovation alongside with mediating role of Malaysian academic researchers’ productivity during the Pandemic of COVID-19. Using a random sampling technique, data was collected from 382 academic researchers. Questionnaires were self-administered and data was analyzed via Smart PLS-SEM. Knowledge management process and knowledge workers’ productivity have a positive and significant relationship with the knowledge-based innovation among academic researchers during the Pandemic of COVID-19. In addition, knowledge workers’ productivity mediates the relationship between the knowledge management process (knowledge creation, knowledge acquisition, knowledge sharing, and knowledge utilization) and knowledge-based innovation during the Pandemic of COVID-19. Results have also directed knowledge sharing as the key factor in knowledge-based innovation and a stimulating task for management discipline around the world during the Pandemic of COVID-19. This study provides interesting insights on Malaysian academic researchers’ productivity by evaluating the effects of knowledge creation, acquisition, sharing, and application on the knowledge-based innovation among academic researchers during the Pandemic of COVID-19. These useful insights would enable policymakers to develop more influential educational strategies. By assimilating the literature of defined variables, the main contribution of this study is the evaluation of knowledge creation, acquisition, sharing, and utilization into knowledge-based innovation alongside the mediating role of knowledge workers productivity in the higher education sector of Malaysia during the Pandemic of COVID-19.


10.28945/3257 ◽  
2008 ◽  
Author(s):  
Rachel Or-Bach

Worked-out examples serve an important role in the educational process. In order to take advantage of such carefully designed examples, students have to "make sense" of the examples and retrieve them whenever it is appropriate. This calls for a knowledge management process to be conducted by the students; a process we implemented as a learning task during a Knowledge-Based Systems course. Students were required to incrementally define and refine a metadata scheme for representing and managing a growing set of programming examples that were introduced during the course. Our findings show that students' iterative processes of metadata creation and modification, which were conducted both individually and collaboratively, supported reflection activities and brought students to revisit, rethink and reinterpret the various code examples and the relations between them. We discuss the finding and the implications of having students deal with issues of reusability, abstraction, metadata; and with the respective tradeoffs and dilemmas.


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