- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- 【Updated on June 30, 2025】Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Architecture Analysis of Business Intelligence (BI) Products
-
- TANAKA Kimihito
- Graduate School of Business Administration, Hosei University
Bibliographic Information
- Other Title
-
- ビジネス・インテリジェンス (BI) 製品のアーキテクチャ分析
Search this article
Description
The objective of this study is to find the key success factors for business intelligence (BI) market in Japan. First, the key factors for choosing a BI product were estimated by interviews with several customers of each BI vendor. The results showed that the characteristics of products (including both software and consulting services provided by BI vendors) were the most important for customers, compared with other factors such as prices, deliveries or trade records in the past. Second, the dynamics of “product architecture” of BI software and consulting services were analyzed in order to find how the superiority of winners’ products was established. The results indicated that the dynamics of winners’ architectures had following three features: (1) the architecture of both software and consulting services were “closed” at first, (2) the architecture of consulting services had firstly changed from “closed” to “open”, and (3) the architecture of software had secondly changed from “closed” to “open”. On the other hand, the architectures of losers’ products had opposite dynamics: firstly software’s architecture had firstly become “open”, and then services’ architecture had secondly been “open”. Those results indicated the differences of the dynamics of product architecture can be dominant factors for success in BI market.
Journal
-
- Transactions of the Academic Association for Organizational Science
-
Transactions of the Academic Association for Organizational Science 2 (1), 30-37, 2013
The Academic Association for Organizational Science
- Tweet
Keywords
Details 詳細情報について
-
- CRID
- 1390282680478085120
-
- NII Article ID
- 130004675503
-
- ISSN
- 21868530
-
- Text Lang
- ja
-
- Data Source
-
- JaLC
- CiNii Articles
-
- Abstract License Flag
- Disallowed