ANP Approach to E-Learning Setup Decision in Knowledge Community of Enterprise

Abstract:

The prioritization of E-Learning setup decision is a complex decision-making problem. The purpose of the paper is to show how to include corporate strategy in the decision-making process and use the Analytic Network Process as a multiple criteria decision-making methodology which can be used in solving E-Learning setup selection problems. In this method, relevant criteria affecting setup are split into three categories: economic criteria, cost criteria and risk criteria. Due to the interdependency between these criteria, ANP was used to generalize analytic hierarchical process by considering the interdependencies among factor. Finally, in order to show the applicability of the propose structure in practice, the structure is implemented to choose the best E-Learning setup policy among three aforementioned strategies in the real case company. Keywords: ANP approach, E-Learning, setup decision, knowledge community

• Periodical: Applied Mechanics and Materials (Volumes 48-49)
• Pages: 236-240
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.48-49.236
• Online since: February 2011
• Authors: Bing Wu, Wen Xia Xu, Jun Ge
• Keywords: ANP Approach, E-Learning, Knowledge Community, Setup Decision

References

[1] Lamia Berkania , Azeddine Chikhb. A process for knowledge reuse in communities of practice of e-learning. Procedia Social and Behavioral Sciences, 2010, 2, p.4436–4443.

DOI: 10.1016/j.sbspro.2010.03.707

[2] Ohbyung Kwon, Yixing Wen. An empirical study of the factors affecting social network service use. Computers in Human Behavior, 2010, 26, p.254–263.

DOI: 10.1016/j.chb.2009.04.011

[3] Seyhan Sipahi and Mehpare Timor. The analytic hierarchy process and analytic network process: an overview of applications. Management Decision, 2010, 48 (5), pp.775-808.

DOI: 10.1108/00251741011043920

[4] Pei-Luen Patrick Rau, Qin Gao, Yinan Ding. Relationship between the level of intimacy and lurking in online social network services. Computers in Human Behavior, 2008, 24, p.2757–2770.

DOI: 10.1016/j.chb.2008.04.001

[5] L. A. G. González, W. V. Ruggiero. Collaborative e-learning and Learning Objects. IEEE LATIN AMERICA TRANSACTIONS, 2009, 7(5), pp.569-577.

DOI: 10.1109/tla.2009.5361195

[6] Samira Hemmati, Masoud Rabbani. Makr-to-order/make –to-stock partitioning decision using the analytic network process. Int J Adv manuf Techno, 2010, 48, pp.801-813.

DOI: 10.1007/s00170-009-2312-4

[7] Nina Begicevic. Decision-making on prioritization of projects in higher education institutions using the analytic network process approach. CEJOR, 2010, 18, pp.341-364.

DOI: 10.1007/s10100-009-0113-3

[8] Jafar Razmi & Hamed Rafiei. An integrated analytic network process with mixed-integer non-linear programming to supplier selection and order allocation. Int J Adv Manuf Technol, 2010, 49, p.1195–1208.

DOI: 10.1007/s00170-009-2445-5

[9] Wei-Wen Wu. Choosing knowledge management strategies by using a combined ANP and DEMATEL approach. Expert Systems with Applications, 2008, 35, p.828–835.

DOI: 10.1016/j.eswa.2007.07.025

[10] Zhen Chen, etc. Knowledge-Driven ANP Approach to Vendors Evaluation for Sustainable Construction. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, DECEMBER 2008, pp.928-941.

DOI: 10.1061/(asce)0733-9364(2008)134:12(928)