Syukri Akub, Muhadar, Andi Sofyan The criminal act of corruption is more systematic and has been categorized as extraordinary crime and its scope has entered all aspects of community life.
Despite advances in our understanding of the role of IT, however, we lack robust empirical data on the precise mechanisms by which IT architecture impacts agility.
We address this gap in the literature by exploring the relationship between IT architecture and IT agility at the level of the individual components in the architecture. In particular, we draw upon modular systems theory to develop and test a series of propositions about the impact of component coupling on the cost of IT change.
DSMs allow us to i identify discrete layers in the IT architecture associated with different types of components and ii capture data on the dependencies between components, hence assessing their relative levels of coupling and position within the architecture.
We test our propositions using empirical data from a large pharmaceutical firm encompassing architectural components and 1, dependencies between them.
We show that different components occupy different positions in the IT architecture and possess different levels of coupling. We find measures of coupling predict IT agility—defined as the cost of making changes to software applications. The measure of coupling that best predicts agility is one that captures all direct and indirect connections between components i.
Our results reveal that different business groups within the firm face different costs of adaptation, deepening our understanding of the roots of organizational agility.Technology and Innovation is a featured research topic at Harvard Business School. The early works of William Abernathy on roadblocks to innovation and Richard Rosenbloom on technology and information transfers in the 's and 's started the Technology Strategy field and helped pave the path.
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