The Impact of ERP Implementation on Business Process Outcomes: A Factor-Based Study.

Author List: Karimi, Jahangir; Somers, Toni M.; Bhattacherjee, Anol;
Journal of Management Information Systems, 2007, Volume 24, Issue 1, Page 101-134.
Failures in large-scale information technology implementation are abundantly documented in the practitioner literature. In this study, we examine why some firms benefit more from enterprise resource planning (ERP) implementation than others. We look at ERP implementation from a technological diffusion perspective, and investigate under what contextual conditions the extent of ERP implementation has the greatest effect on business process outcomes. Using empirical data, we find that the extent of ERP implementation influences business process outcomes, and both ERP radicalness and delivery system play moderating roles. For information systems (IS) practice, this study helps managers direct their attention to the most promising factors, provides insights into how to manage their complex interactions, and elaborates on their differential effects on business process outcomes. For IS research, it integrates innovation diffusion theory into our current knowledge of ERP implementation and provides theoretical explanations for ERP implementation failures.
Keywords: business process outcomes;enterprise systems;ERP effects;ERP implementation;ERP radicalness;information technology innovation;innovation diffusion theory
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List of Topics

#251 0.332 implementation erp enterprise systems resource planning outcomes support business associated understanding benefits implemented advice key implementing scope functional post-implementation implementations
#116 0.269 research study influence effects literature theoretical use understanding theory using impact behavior insights examine influences mechanisms specifically context perspective findings
#69 0.113 process business reengineering processes bpr redesign paper research suggests provide past improvements manage enable organizations regarding focal cycle creating issues
#49 0.070 adoption diffusion technology adopters innovation adopt process information potential innovations influence new characteristics early adopting set compatibility time initial current
#173 0.050 effect impact affect results positive effects direct findings influence important positively model data suggest test factors negative affects significant relationship