The purpose of this article is to provide further insights into the adoption of enterprise resource planning systems (ERPS) and the impacts on organisational performance. It aims at challenging existing claims of ERP vendors with regards to the benefits of their products and at providing evidence of the benefits of bundling ERPS with supply chain management systems (SCMS). A survey was conducted to collect data on several aspects of organisational performance in companies which adopted ERPS, SCMS and the respective control groups. Financial key performance indicators were used to measure overall firm performance and the Supply-Chain Operations Reference (SCOR) model to operationalise performance at the business process (supply chain) level. Our key results contradict the claims of ERPS vendors insofar as we found no significant performance differences between ERPS adopters and non-adopters, neither at the core business process level, nor at the overall firm level. While we could confirm that, the longer the experience of firms with ERPS, the higher their overall performance, we found no evidence of a similar effect on business process (supply chain) performance. Only those ERPS adopters which also adopted SCMS achieved significantly higher performance at the business process level.

Business Intelligence (BI) systems have been a top priority of CIOs for a decade, but little is known about how to successfully manage those systems beyond the implementation phase. This paper investigates the direct and indirect effects of BI management quality on the quality of managerial decision making using PLS analysis of survey responses of senior IT managers in Australia. The results confirm this overall relationship (total effect), but also reveal mediating effects of data/information quality and BI solution scope. The study contributes to both academia and industry by providing first time evidence of direct and indirect determinants of managerial decision support improvements related to BI solutions scope and active management of BI.