Massimo Magni

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The present research extends prior work on the relationship between users and technology by examining users’ intention to explore a technology. Drawing on exploration and individual motivation theories, we developed and tested a model examining the effects of hedonic (i.e., personal innovativeness and cognitive absorption) and instrumental (i.e.,(More)
Drawing on the conceptual foundations of feedback and behavior modeling we investigate the effects of managers’ coaching intensity on the performance of those they supervise, at multiple levels of an organizational hierarchy. Data from 328 sales associates reporting to 114 middle managers, and 93 middle managers reporting to 32 executive managers are used(More)
team network structure has been shown to be an important determinant of both team and individual performance outcomes, yet few studies have investigated the relationship between team network structure and technology usage behaviors. Drawing from social network and technology use literature, we examine how the structure 10 MAgNI, ANgSt, AND AgArWAl of a(More)
Team Empowerment (Kirkman et al. 2004) [Cronbach α: .93; mean: 3.44; standard deviation: 0.36] (Potency) 1. Our team has confidence in itself. 1. My team believes that we can produce high quality work. 2. My team believes that we can be very productive. (Meaningfulness) 1. Our team cares about what it does. 2. Our team feels that its tasks are worthwhile.(More)
Prior research in technology use by individuals has predominantly focused on social influence as perceived by the individual. We take an alternative perspective and drawing from literature on normative influence and social networks, we develop cross-level hypotheses related to the effects of team level social influence on extensiveness of individual(More)