Process innovation: reengineering work through information technology
Process innovation: reengineering work through information technology
Reengineering: business change of mythic proportions?
MIS Quarterly
SPSS-X Advanced Statistics Guide
SPSS-X Advanced Statistics Guide
Strategies for business process reengineering: evidence from field studies
Journal of Management Information Systems - Special section: Toward a theory of business process change management
Managing information about processes
Journal of Management Information Systems - Special section: Toward a theory of business process change management
Business process redesign: tactics for managing radical change
Journal of Management Information Systems - Special section: Toward a theory of business process change management
The implementation of business process reengineering
Journal of Management Information Systems - Special section: Toward a theory of business process change management
Journal of Management Information Systems
Using Social Network Analysis to Measure IT-Enabled Business Process Performance
Information Systems Management
Information Resources Management Journal
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This study addresses the complex relationship between fit and organizational performance in business reengineering. First, a framework for analysis based on the concept of fit is proposed. Three generic archetypes for three levels of ambitions are defined. Archetypes or ideal-type patterns of change are consistent packages of design and change management measures. It is hypothesized that organizations that change according to an ideal-type pattern outperform organizations that follow a different, inconsistent pattern. On the basis of a questionnaire sent to organizations involved in reengineering, this paper shows that consistent reengineering endeavors generally result in greater benefits than do inconsistent change efforts. It also demonstrates that only a minority of organizations have succeeded in creating a "magical mix" between the level of ambition and the design and change management measures actually taken. Finally, the managerial implications and future research challenges are described.