Title: Knowledge management for business intelligence measurement in an e-business system

Authors: Stavros Valsamidis; Ioannis Kazanidis; Sotirios Kontogiannis; Giannoula Florou

Addresses: Department of Accountancy, Technological Educational Institute of East Macedonia and Thrace, AgiosLoukas, Kavala 65404, Greece ' Department of Accountancy, Technological Educational Institute of East Macedonia and Thrace, AgiosLoukas, Kavala 65404, Greece ' Department of Mathematics, University of Ioannina, P.O. Box 1186, 54110 Ioannina, Greece ' Department of Accountancy, Technological Educational Institute of East Macedonia and Thrace, AgiosLoukas, Kavala 65404, Greece

Abstract: Knowledge management (KM) can be defined as the set of activities involved in discovering, capturing, sharing and applying knowledge to enhance, and the strategic impact of knowledge. Business intelligence (BI) is the process of enhancing data into information and into knowledge, in the field of business. E-Business refers to any business that uses the internet and related technologies. This paper introduces the role of knowledge management, for BI providing the understanding of the application of KM with explaining the usefulness of knowledge sharing system for BI in the dynamic transformation of explicit knowledge and tacit knowledge in e-business system. Four indices and four metrics, applied innovatively for the first time in the field of e-business, provide capabilities for examining data with web usage analysis in an online store. Two techniques, the hierarchical ascendant classification (HAC) and the product classification algorithm (PCA) are applied with the aid of the aforementioned measures in this e-business system.

Keywords: knowledge management; business intelligence; e-business; indices and metrics; HAC; hierarchical ascendant classification; PCA; product classification algorithm.

DOI: 10.1504/IJEB.2017.086115

International Journal of Electronic Business, 2017 Vol.13 No.4, pp.323 - 341

Received: 13 Jan 2017
Accepted: 05 May 2017
Published online: 25 Aug 2017 *

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