Business Intelligence Effectiveness and Corporate Performance Management: An Empirical Analysis

被引:82
|
作者
Richards, Gregory [1 ]
Yeoh, William [2 ]
Chong, Alain Yee Loong [3 ,4 ]
Popovic, Ales [5 ,6 ]
机构
[1] Univ Ottawa, Ottawa, ON, Canada
[2] Deakin Univ, Burwood, Australia
[3] Univ Nottingham Ningbo China, Ningbo, Zhejiang, Peoples R China
[4] Zhejiang Univ Finance & Econ, Hangzhou, Peoples R China
[5] Univ Ljubljana, Ljubljana, Slovenia
[6] Univ Nova Lisboa, Lisbon, Portugal
关键词
Business intelligence; corporate performance management; empirical study; DECISION-MAKING; SUPPORT; SYSTEMS; EQUIVOCALITY; TECHNOLOGY; ANALYTICS; SUCCESS; CONTEXT;
D O I
10.1080/08874417.2017.1334244
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Business intelligence (BI) technologies have received much attention from both academics and practitioners, and the emerging field of business analytics (BA) is beginning to generate academic research. However, the impact of BI and the relative importance of BA on corporate performance management (CPM) have not yet been investigated. To address this gap, we modeled a CPM framework based on the Integrative model of IT business value and on information processing theory. Data were collected from a global survey of senior managers in 337 companies. Findings suggest that the more effective the BI implementation, the more effective the CPM-related planning and analytic practices. BI effectiveness is strongly related to BA, planning and to measurement. In contrast, BA effectiveness is strongly related to planning but less so to measurement. The study suggests that although both BI and BA contribute to corporate management practices, the information needs are different based on the level of uncertainty versus ambiguity characteristic of the management practice.
引用
收藏
页码:188 / 196
页数:9
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