Based on the theory of effective use and adaptive structuration theory, we propose that employees' system exploration behavior can be affected by factors related to three major components: task, system, and organizational environment. Specifically, we examine how task characteristics (job autonomy and task variety), system complexity, and innovation climate jointly affect employees' exploration, which, in turn, leads to extended use of enterprise systems. A field survey of enterprise resource planning (ERP) users yields several interesting findings. First, job autonomy and task variety directly enhance system exploration. Second, system complexity plays a moderating role by strengthening the relationship between job autonomy and exploration and weakening the relationship between task variety and exploration. Third, innovation climate, also acting as a moderator, strengthens both the impact of job autonomy on exploration and the impact of system exploration on extended use. This research contributes to information systems (IS) research by theoretically articulating that system exploration is subject to the simultaneous influences of task, system, and organizational environment factors and empirically testing these factors' main effects and interactions to shed new light on system exploration research. It also contributes to IS practice by suggesting that organizations could enhance employees' system exploration and facilitate the transition from exploration to extended use by increasing job autonomy and task variety, designing personalized training programs to reduce system complexity, and developing organizational climates that foster innovations. > >
Blogging is becoming increasingly popular as a global phenomenon. Individual blog traffic and blogosphere structure are of interest to academia and practice. Although it is difficult to get a snapshot of the blogosphere with enough blogs over a long enough period to capture the real situation, chaos theory finds underlying order in this apparent random and complex phenomenon. This study provides an overall view of blogging from micro (individual blog traffic dynamics) and macro (blogosphere structure) levels through a chaos theory lens. Key concepts of chaos theory are used to construct an interpretive framework to illustrate blog system behavior dynamics. Blog systems tend to be nonlinear, dynamic, and deterministic, as well as sensitive to initial conditions. The study also demonstrates the feasibility of applying chaos theory thinking to areas such as knowledge management and the recent global financial crisis. Implications for practice and research opportunities are presented.