Knowledge-Based Strategies and Systems

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.

Author(s):  
Preeti Mulay ◽  
Pritam Ahire

The errands in various workplaces demand effective teamwork and cooperation among the personnel. To prove a best team member, leader and authority in industries, it is essential to develop strong human relationship-base at academics level itself. This base is nothing but surfing through entire life-cycle phases related to knowledge: acquire, represent, use, and augment. This chapter focuses on the implementation of Knowledge-Management and Augmentation for academics, to establish compatibility among various relationships in academic field like students, faculty, principal, higher authorities, teaching and non teaching staff, using Astrology & Numerology with IT. It also endeavours to promote the inclination in students of giving magnitude to create the compatibility in interpersonal relationships. This inclination will assist all academic entities, to be compatible with their colleagues in potential domains related occupations.


Author(s):  
JONATHAN LEE ◽  
JOHN YEN

Several methodologies have been developed to enhance the software life cycle of knowledge-based systems by emphasizing on the use of both prototypes and specifications. However, these methodologies focus on the development phase of knowledge-based systems. The roles of prototypes and specifications in the maintenance phase has not been fully explored. Because a suitable problem specification for a knowledge-based system is often difficult to acquire, validating changes to non-executable solution specification during the maintenance phase can be a problem. To address this, we propose an alternative paradigm in which the prototype complements the specification throughout the life cycle. The traceability between them is facilitated by organizing both types of artifacts using a common functional decomposition structure. Based on our task-based specification methodology (TBSM), we have also developed a knowledge engineering tool (called TAME) to facilitate the acquisition and the organization of the specification and the prototype. The proposed methodology and the tool together can thus enhance the verification, validation, and the maintenance of knowledge-based systems through their life cycles.


2019 ◽  
Vol 11 (2) ◽  
pp. 359 ◽  
Author(s):  
Alexandra Zbuchea ◽  
Florina Pînzaru ◽  
Mihail Busu ◽  
Sergiu-Octavian Stan ◽  
Alina Bârgăoanu

Starting from the findings of specialized studies on knowledge management in the field of biotechnology, this paper aims to present the factors that underline sustainable performances of Romanian biotechnology organizations. Particularly, descriptive analysis of these factors has outlined a picture of the current situation of biotechnology in Romania. The design of an exploratory knowledge management model for organizations in the biotechnology sector was achieved and validated through a panel data model. Starting from a model of growth based on productivity, capital inflow, and human capital, three statistical hypotheses were validated by a time series data panel regression model using EViews 9.0 software. The data were collected for the enterprises active in the field of biotechnology for a period of nine years. The paper highlights the fact that the economic performance of biotechnology organizations is determined by the flow of capital, productivity, and the workforce. Knowledge-based growth strategies are essential in the econometric model presented. Nevertheless, in terms of knowledge management strategies, the sector has not reached its maturity, and full sustainability is not a norm.


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).


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