Enterprise resource planning: multisite ERP implementations
Communications of the ACM
The critical success factors for ERP implementation: an organizational fit perspective
Information and Management
European Journal of Information Systems - Special issue: Making enterprise systems work
Journal of Management Information Systems
Journal of Management Information Systems
Toward a Theory of Knowledge Reuse: Types of Knowledge Reuse Situations and Factors in Reuse Success
Journal of Management Information Systems
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
Journal of Management Information Systems
Implementation costs of IS-enabled organizational change
Information and Organization
Critical factors for successful ERP implementation: Exploratory findings from four case studies
Computers in Industry - Special issue: Current trends in ERP implementations and utilisation
Identifying critical issues in enterprise resource planning (ERP) implementation
Computers in Industry - Special issue: Current trends in ERP implementations and utilisation
International Journal of Information Management: The Journal for Information Professionals
Factors that Improve ERP Implementation Strategies in an Organization
International Journal of Enterprise Information Systems
Factors that Determine the Adoption of Cloud Computing: A Global Perspective
International Journal of Enterprise Information Systems
International Journal of Enterprise Information Systems
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Business Intelligence BI systems are applied by increasing numbers of organizations in a wide range of sectors. Despite the growing numbers of BI solutions and the experience augmented in many implementation projects worldwide, as well as the value that BI systems provide to organizations, IT literature lacks a coherent set of definitions through which BI systems can be classified, categorized, and assessed. Furthermore, BI implementation projects often do not succeed or do not fully accomplish the degrees of value and performance as expected, when firms fail to complete the system implementation, to satisfy the needs of users or when the benefits BI systems produce are lower than anticipated. This paper presents an analytical framework through which BI systems are defined and classified. On the basis of this framework, possible technical, organizational, and personal factors that affect the failure, partial or full success of BI system implementations are discussed. These factors are followed by a case study and empirical data analyses that exemplify and assess the extent to which various organizational attributes and properties of users influence the success or failure of BI implementation projects. Finally, implications regarding the management of BI system implementation projects and the organizations that apply them are derived.