Employees' Exploration of Complex Systems: An Integrative View

• Published in: Journal of management information systems Vol. 32; no. 1; pp. 322 - 357
• Main Authors: Liang, Huigang, Peng, Zeyu, Xue, Yajiong, Guo, Xitong, Wang, Nengmin
• Format: Journal Article
• Language: English
• Published: Abingdon Routledge 01.01.2015; Taylor & Francis, Ltd; Taylor & Francis Ltd
• Subjects: autonomy; Complex systems; Employees; Enterprise resource planning; ERP; Information systems; innovation climate; Innovations; IS jobs; Organizational behavior; Studies; system exploration; task complexity; task variety
• ISSN: 0742-1222; 1557-928X
• DOI: 10.1080/07421222.2015.1029402

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.