An expanded model of the factors affecting the acceptance and effectiveness of electronic human resource management systems

• Published in: Human resource management review Vol. 19; no. 2; pp. 134 - 143
• Main Authors: Stone, Dianna L., Lukaszewski, Kimberly M.
• Format: Journal Article
• Language: English
• Published: Greenwich Elsevier Inc 01.06.2009; Elsevier Science Ltd
• Subjects: Communication; Electronic human resource systems; Human resource management; Human resources; Information systems; Personalization; Studies; Technology adoption; Electronic human resource systems; Personalization; Communication
• ISSN: 1053-4822; 1873-7889
• DOI: 10.1016/j.hrmr.2008.11.003

Despite the widespread use of eHR systems, surveys show that there may be a number of problems associated with their design and implementation [CedarCrestone (2007). CedarCrestone 2007–2008 HR systems survey: HR technologies, service delivery approaches, and metrics. Available at www.cedarcrestone.com/research.php. Retrieved July, 2008]. In an effort to overcome these problems we expanded the model of eHR acceptance and effectiveness developed by Stone, Stone-Romero, & Lukaszewski [Stone, D. L., Stone-Romero, E. F., & Lukaszewski, K. (2006). Factors affecting the acceptance and effectiveness of electronic human resource systems. Human Resources Management Review, 16, 229-244]. The expanded model provides a more detailed discussion of the communication processes underlying these systems including the effects of media and message characteristics. In addition, we offer a number of testable hypotheses based on the model that can be used to guide future research on eHR systems.