Implication of Knowledge Transfer on Task Performance in ERP System Usage

Abstract

The level of success of Information Systems (IS) implemented in various organizations depends on several factors and is better measured through process metrics than project metrics. It is believed that innovative and increased use of the system (deep structure usage) and learning lead to internalization of knowledge. This in turn ensures that IS continuance (post implementation system usage) becomes more dynamic and effective contributing to enhancement in task performance resulting in better business value. A theoretical framework has been proposed based on previous theories and observations from a case study. An approach of mixed method research using multiple case studies and an empirical survey in the Enterprise Resource Planning (ERP) domain has been used to validate a conceptual model. The findings use meta-inference to offer a new dimension in the area of system usage and learning which could be useful to IS practitioners and researchers.