Developing the Profiles of Business Analytics Adopters and Non-Adopters using Data Mining Tools

Abstract

Despite the growing popularity of business analytics (BA) in the increasingly knowledge-based economy, many firms are still skeptical about its strategic value and thus hesitant to adopt BA. To have a true sense of which firms are likely to adopt and then utilize the BA for their competitiveness, this paper identifies BA user characteristics in terms of the user's firm size, organizational readiness, financial resources, and information technology expertise/infrastructure. In so doing, this paper conducted a series of cluster and decision tree analyses to develop specific profiles of BA adopters and non-adopters based on a sample of 224 Korean firms representing various industry sectors. This paper is one of the first attempts to develop practical guidelines for the successful implementation of BA based on the empirical study of BA practices among Korean firms.

Department(s)

Business and Information Technology

Keywords and Phrases

Business Analytics Adoption; Business Intelligence; Data Mining Tools; Korean Firms

International Standard Serial Number (ISSN)

2380-2057; 0887-4417

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2021 Taylor & Francis, All rights reserved.

Publication Date

15 Sep 2021

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