Applying an organizational learning perspective to new technology deployment by technological gatekeepers: A theoretical model and key issues for future research

Abstract

Organizations often under-utilize expensive information technology (IT) enabled work processes that automate routines or processes that were previously carried out manually. One reason for this phenomenon may lie in the types of decisions made by technological gatekeepers, who are key individuals charged with deploying new technologies in organizations. From an organizational learning perspective, technological gatekeepers are more likely to perform successfully when they make appropriate decisions about exploring or exploiting the routines associated with a new technology. The factors that influence gatekeepers' decisions about exploration or exploitation, however, are still largely unexplored. In this study, we present a model based on the basic technology acceptance model (TAM) to examine this issue. We use concepts from the literatures on organizational learning, expertise, and cognitive styles to elaborate on the constructs in our model, and examine how these literatures can inform our understanding of technological gatekeepers' decisions. The goal of this paper is to accelerate micro-level research on new technology deployment in organizations by identifying some key issues and propositions for future studies.

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