BROWSE

Related Researcher

Author's Photo

Kim, Daejin
School of Business Administration
Research Interests
  • Market Microstructure, Derivatives, Investments, Mutual Funds, Hedge Funds,

ITEM VIEW & DOWNLOAD

A sequential pattern mining approach to identifying potential areas for business diversification

Cited 0 times inthomson ciCited 0 times inthomson ci
Title
A sequential pattern mining approach to identifying potential areas for business diversification
Author
Lee, GyuminKim, DaejinLee, Changyong
Issue Date
2019-11
Publisher
ROUTLEDGE JOURNALS
Citation
ASIAN JOURNAL OF TECHNOLOGY INNOVATION
Abstract
Although many quantitative models have been presented to identify potential areas for business diversification, most have focused on the assessment of technological capabilities and/or similarities using patent information. New data sources and scientific methods have thus seldom been addressed. We propose a sequential pattern mining approach to identifying potential areas for business diversification using the historical business segment data. Our approach includes (1) sequential pattern mining to identify potential areas for business diversification by extracting the significant changing patterns of firms’ business segments; and (2) index analysis to assess the market and financial characteristics of the areas identified. Taken together, three diversification strategy maps are developed to provide comprehensive views of analysis results. An empirical analysis of 25,126 unique firms with 1320 business segments confirms that the proposed approach enables a wide-ranging search for potential areas for business diversification and the quick assessment of their characteristics.
URI
https://scholarworks.unist.ac.kr/handle/201301/30612
URL
https://www.tandfonline.com/doi/full/10.1080/19761597.2019.1693900
DOI
10.1080/19761597.2019.1693900
ISSN
1976-1597
Appears in Collections:
SME_Journal Papers
SBA_Journal Papers
Files in This Item:
There are no files associated with this item.

find_unist can give you direct access to the published full text of this article. (UNISTARs only)

Show full item record

qrcode

  • mendeley

    citeulike

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

MENU