An empirical study of business intelligence impact on corporate performance management

Gregory Richards; William Yeoh; Alain Yee Loong Chong; Aleš Popovič

An empirical study of business intelligence impact on corporate performance management

Gregory Richards, William Yeoh, Alain Yee Loong Chong, Aleš Popovič

Research output: Contribution to conference › Paper › peer-review

11 Citations (Scopus)

Abstract

Business intelligence technologies have received much attention recently from both academics and practitioners. However, the impact of business intelligence (BI) on corporate performance management (CPM) has not yet been investigated. To address this gap, we conducted a large-scale survey collecting data from 337 senior managers. Partial least square method was employed to analyse the survey data. Findings suggest that the more effective the BI implementation, the more effective the CPM-related planning and analytic practices. Interestingly, size and industry sector do not influence the relationships between BI effectiveness and the CPM. This research offers a number of implications for theory and practice.

Original language	English
Publication status	Published - 2014
Event	18th Pacific Asia Conference on Information Systems, PACIS 2014 - Chengdu, China Duration: 24 Jun 2014 → 28 Jun 2014

Conference

Conference	18th Pacific Asia Conference on Information Systems, PACIS 2014
Country/Territory	China
City	Chengdu
Period	24/06/14 → 28/06/14

Keywords

Business intelligence
Corporate performance management
Empirical study

ASJC Scopus subject areas

Information Systems

Cite this

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abstract = "Business intelligence technologies have received much attention recently from both academics and practitioners. However, the impact of business intelligence (BI) on corporate performance management (CPM) has not yet been investigated. To address this gap, we conducted a large-scale survey collecting data from 337 senior managers. Partial least square method was employed to analyse the survey data. Findings suggest that the more effective the BI implementation, the more effective the CPM-related planning and analytic practices. Interestingly, size and industry sector do not influence the relationships between BI effectiveness and the CPM. This research offers a number of implications for theory and practice.",

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AU - Richards, Gregory

AU - Yeoh, William

AU - Chong, Alain Yee Loong

AU - Popovič, Aleš

PY - 2014

Y1 - 2014

N2 - Business intelligence technologies have received much attention recently from both academics and practitioners. However, the impact of business intelligence (BI) on corporate performance management (CPM) has not yet been investigated. To address this gap, we conducted a large-scale survey collecting data from 337 senior managers. Partial least square method was employed to analyse the survey data. Findings suggest that the more effective the BI implementation, the more effective the CPM-related planning and analytic practices. Interestingly, size and industry sector do not influence the relationships between BI effectiveness and the CPM. This research offers a number of implications for theory and practice.

AB - Business intelligence technologies have received much attention recently from both academics and practitioners. However, the impact of business intelligence (BI) on corporate performance management (CPM) has not yet been investigated. To address this gap, we conducted a large-scale survey collecting data from 337 senior managers. Partial least square method was employed to analyse the survey data. Findings suggest that the more effective the BI implementation, the more effective the CPM-related planning and analytic practices. Interestingly, size and industry sector do not influence the relationships between BI effectiveness and the CPM. This research offers a number of implications for theory and practice.

KW - Business intelligence

KW - Corporate performance management

KW - Empirical study

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M3 - Paper

AN - SCOPUS:84928634123

T2 - 18th Pacific Asia Conference on Information Systems, PACIS 2014

Y2 - 24 June 2014 through 28 June 2014

ER -

An empirical study of business intelligence impact on corporate performance management

Abstract

Conference

Keywords

ASJC Scopus subject areas

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