New IT implementations: Learning from past experiences
Authors: Nilesh Saraf, Srabana Dasgupta, and Vallabh Sambamurthy
Overview
Abstract (English)
This research focuses on the experience-related antecedents of enterprise IT innovation, in particular, the implementation of new IT systems. We draw from the firm learning literature to propose four dimensions of IT implementation (ITI) experience – frequency, breadth, valence and recency – and propose hypotheses linking these four dimensions to the likelihood of future ITIs. Drawing from human capital theory, we also examine whether the effect of frequency and breadth of ITI experience on future implementations is more pronounced or subdued because of turnover of knowledge workers. We investigate our hypotheses using a rich panel dataset of 1,466 workplaces collected through a longitudinal establishment level survey by Statistics Canada. First, the most intuitive measure of IT implementation experience, frequency, is found to have a detrimental effect on future IT implementation propensity. Functional breadth, which captures the ‘footprint’ of previous implementations in terms of the heterogeneity of employee categories, on the other hand, has a positive impact. Next, managers’ perception of the performance impact of a most recent IT implementation (valence) is significant and positive and, the more recent is the previous implementation, the greater is the effect of valence. Interestingly, employee turnover of knowledge workers, per se, increases ITI likelihood, but weakens the impact of ITI frequency and breadth.
Abstract (French)
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Details
Type | Working paper (online) |
---|---|
Author | Nilesh Saraf, Srabana Dasgupta, and Vallabh Sambamurthy |
Publication Year | 2016 |
Title | New IT implementations: Learning from past experiences |
Series | Social Science Research Network Working Paper |
Publication Language | English |
- Nilesh Saraf
- Working paper (online)
- New IT implementations: Learning from past experiences
- Nilesh Saraf, Srabana Dasgupta, and Vallabh Sambamurthy
- Social Science Research Network Working Paper
- 2016