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Effects of control on the performance of information systems projects: The moderating role of complexity risk
Institution:1. School of Management, Xi''an Jiaotong University, Xianning Road, Xian Shaanxi 710049, No. 28, China;2. The Key Lab of the Ministry of Education for Process Control & Efficiency Engineering, Xianning Road, Xian Shaanxi 710049, No. 28, China;3. State Grid Energy Research Institute, Changping District 102209, Beijing, China;4. Department of Management Information Systems, College of Business, East Carolina University, Greenville, NC 27858, USA
Abstract:Control of projects is a core issue for organizations. Successful projects, such as information systems projects, enable organizations to develop a superior supply network and enhance the capability of operations management. A few studies have investigated the effects of control on project performance; however, complexity risk has not been integrated into the relationship between control and performance. Limited evidence has been provided concerning whether modes of control differ in their effectiveness in the presence of a single risk factor. Based on quantitative data obtained from 128 information systems projects, behavior, outcome, clan, and self-control are empirically determined to be positively associated with the system performance of projects. However, complexity risk generates a mixed moderating effect on the relationship between control and performance. In the presence of a high complexity risk, the effects of behavior and self-control on performance are low, whereas the effectiveness of outcome and clan control increases. This finding implies that complexity risk is a double-edged sword with regard to control. Each control mode exhibits different characteristics and effectiveness under high complexity risk. Therefore, appropriate control modes should be carefully selected, and highly effective control modes, such as outcome and clan control, should be prioritized in managing complex system projects.
Keywords:Project management  Performance  Complexity risk  Managerial control  System development
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