The Electronic Journal of Knowledge Management aims to publish perspectives on topics relevant to the study, implementation and management of knowledge management
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Journal Article

Inter‑generational learning dynamics in universities  pp10-18

Constantin Bratianu, Adriana Agapie, Ivona Orzea, Simona Agoston

© Mar 2011 Volume 9 Issue 1, ECKM Special Issue, Editor: Eduardo Tome, pp1 - 84

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Abstract

Inter generational learning is an open process people of all ages can learn from each other in a stimulating context. It is a complex process of knowledge sharing that overcomes age and cultural barriers. Inter‑generational learning is more specific for those organizations where people group together in age layers or strata. Universities are such kind of layered or nested organizations. The purpose of this paper is to present some results of our research in the field of inter‑generational learning and knowledge sharing in universities. This topic is important because a university is by its own nature a nested knowledge organization, due to a continuous flow of students and the bottom‑up regeneration of the faculty staff. Knowledge creation and knowledge loss are intertwined processes, and both of them are strongly influenced by the age scale. A university is a multilayered knowledge organization, where the inner most layers are represented by older professors who concentrate the fundamental structures of knowledge, and the outer layers are represented by students in their different learning cycles. In this paper we are interested in assessing the choices done by the academic staff, in the context of the determinant criterions and trade‑offs in inter‑generational learning. This had been done in the framework of Analytic Hierarchic Processes (AHP). We thought that this is a proper tool since it mainly belongs to the field of decision‑making with the possibility to determine vectors of priorities for the individuals participating in the decisions under study.

 

Keywords: learning dynamics, university, knowledge sharing, knowledge creation, analytic hierarchy process

 

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Journal Article

Modeling Organizational Knowledge Dynamics: Using Analytic Hierarchy Process (AHP)  pp236-247

Constantin Bratianu, Adriana Agapie, Ivona Orzea

© Sep 2011 Volume 9 Issue 3, ECIC 2011, Editor: Geoff Turner and Clemente Minonne, pp181 - 295

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Abstract

: Modelling Organizational Knowledge Dynamics (OKD) is important in developing knowledge strategies within the framework of strategic management. We present in this paper a new perspective on modelling OKD based on the dynamic equilibrium equation of the organizational knowledge, and on using the Analytic Hierarchy Process (AHP). The dynamic equilibrium equation is considered for a time interval ∆T, and contains the following terms: the level of total organizational knowledge variation ∆K, the knowledge creation variation ∆C, the knowledge acquisition variation ∆A, and the knowledge loss variation ∆L. Since each of these terms has a different relative importance in the organizational knowledge balance, it is necessary to find a way of evaluating their weighting factors. For this purpose we use the AHP mathematical model developed by Saaty for the managerial decision making. AHP requires a structuring of the field of knowledge, and we considered a structure composed of three levels: (1) the goal level – increasing the level of organizational knowledge; (2) the strategies level – the strategy for increasing knowledge creation (S1), the strategy for increasing acquisition of new knowledge (S2), and the strategy for reducing knowledge loss (S3); (3) the activities level – hiring new valuable human resources (A1), developing training programs (A2), creating a performing motivation of employees (A3), and purchasing books, journals, software programs, and other information materials (A4). This structured model of AHP has been applied as an empirical research within a large company. We sent questionnaire to a number of 500 employees, and received valid answers from 173 respondents. The AHP method is based on paired comparisons of strategies with respect to the goal of increasing the level organizational knowledge, and then on paired comparisons of activities with respect to each strategy we defined. These paired comparisons yield matrices that lead to systems of eigenvalue equations whose solutions compose the vector of priorities for strategies, and for activities with respect to each strategy. Values of the vector of priorities for strategies are the weighting factors for the equilibrium equation components.

 

Keywords: analytic hierarchy process, knowledge acquisition, knowledge creation, knowledge dynamics, knowledge loss

 

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