An empirical study of business intelligence impact on corporate performance management


Autoria(s): Richards,Gregory; Yeoh, William; Chong, Alain Yee-Loong; Popovic, Ales
Contribuinte(s)

Siau, Keng

Li, Qing

Guo, Xunhua

Data(s)

01/01/2014

Resumo

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.

Identificador

http://hdl.handle.net/10536/DRO/DU:30066567

Idioma(s)

eng

Publicador

AIS eLiberary

Relação

http://dro.deakin.edu.au/eserv/DU:30066567/yeoh-empiricalstudy-2014.pdf

http://dro.deakin.edu.au/eserv/DU:30066567/yeoh-improvingtelemark-evid-2014.pdf

http://pacis2014.org/dates.php

http://aisel.aisnet.org/pacis2014/341/

Direitos

2014, AIS

Palavras-Chave #business intelligence #corporate performance management #empirical study
Tipo

Conference Paper