Abstract

In the implementation of an organizational innovation, managers are usually presumed to influence the extent to which the innovation is adopted and used by their subordinates. However, the findings presented in this paper suggest that the managerial influence is not equally perceived by all subordinates. Rather, certain context-specific characteristics of individual employees mediate the managerial influence. Users of the expert system studied herein who were low in personal innovativeness toward this class of innovations, for whom the subjective importance of the task being computerized was low, whose task-related skills were low or who were low performers in their sales job—all these user groups perceived their management had encouraged them to adopt. In contrast, users who rated high on any of these measures did not perceive any management influence in their adoption decision. Moreover, although access to the innovation was in fact highly similar for all users, high performers also were inclined to perceive the system as more accessible than were low performers. These findings suggest that the diffusion of an innovation within an organization perhaps could be viewed as a two-step managerial process. Employees whose characteristics incline them to adopt an innovation will do so without management support or urging if it is simply made available. Employees low on these characteristics will await a managerial directive before adopting. Implications for future research are discussed.

Keywords

Task (project management)BusinessContext (archaeology)DirectiveKnowledge managementProcess (computing)MarketingComputer scienceManagement

Affiliated Institutions

Related Publications

Publication Info

Year
1988
Type
article
Volume
34
Issue
10
Pages
1252-1265
Citations
798
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

798
OpenAlex
39
Influential
462
CrossRef

Cite This

Dorothy Leonard‐Barton, Isabelle Deschamps (1988). Managerial Influence in the Implementation of New Technology. Management Science , 34 (10) , 1252-1265. https://doi.org/10.1287/mnsc.34.10.1252

Identifiers

DOI
10.1287/mnsc.34.10.1252

Data Quality

Data completeness: 77%