Author List: Leonardi, Paul M.;
MIS Quarterly, 2013, Volume 37, Issue 3, Page 749-775.
The goal of this study is to augment explanations of how newly implemented technologies enable network change within organizations with an understanding of when such change is likely to happen. Drawing on the emerging literature on technology affordances, the paper suggests that informal network change within interdependent organizational groups is unlikely to occur until users converge on a shared appropriation of the new technology's features such that the affordances the technology enables are jointly realized. In making the argument for the importance of shared affordances, this paper suggests that group-level network change has its most profound implications at the organization level when individuals use the same subset of a new information technology's features. To explore this tentative theory, we turn to a comparative, multimethod, longitudinal study of computer-based simulation technology use in automotive engineering. The findings of this explanatory case study show that engineers used the new technology for more than three months, during which time neither group experienced changes to their advice networks. Initially, divergent uses of the technology's features by engineers in both groups precluded them from being able to coordinate their work in ways that allowed them to structure their advice networks differently. Eventually, engineers in only one of the two groups converged on the use of a common set of the technology's features to enact a shared affordance. This convergence was necessary to turn the technology into a resource that could collectively afford group members the ability to compare their simulation outputs with one another and, in so doing, alter the content and structure of the group's advice network. The implications of these findings for the literatures on technology feature use, affordances, social networks, and post-adoption behaviors in organizations are discussed.
Keywords: advice networks; affordances; feature use; organizational change; Technology implementation
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#179 0.206 technologies technology new findings efficiency deployed common implications engineers conversion change transformational opportunity deployment make making improve powerful choosing enhance
#185 0.138 change organizational implementation case study changes management organizations technology organization analysis successful success equilibrium radical efforts initiatives managing resistance individuals
#163 0.135 critical realism theory case study context affordances activity causal key identifies evolutionary history generative paper events lead mechanisms evolution change
#103 0.114 exploration climate technology empowerment explore features trying use employees intention examining work intentions exploring autonomy exploitation innovate feature understanding individual
#174 0.111 use support information effective behaviors work usage examine extent users expertise uses longitudinal focus routine revealed volume constructs contributes operations
#238 0.103 shared contribution groups understanding contributions group contribute work make members experience phenomenon largely central key common especially major conceptualizing study
#249 0.090 network networks social analysis ties structure p2p exchange externalities individual impact peer-to-peer structural growth centrality participants sharing economic ownership embeddedness