Eitan Naveh is an Associate Professor in the Faculty of Industrial Engineering and Management at the Technion—Israel Institute of Technology.
With a B.Sc. in Industrial Engineering and Management, and an M.Sc. and a D.Sc. in Quality Assurance and Reliability—all from the Technion, followed by post-doctoral studies at the University of Minnesota’s Carlson School of Management, he joined the Faculty of Industrial Engineering and Management in 2001 as a senior lecturer and became an associate professor in 2006. In 2010-2011, Eitan spent a sabbatical year as a visiting scientist at MIT—Massachusetts Institute of Technology, at the Center for Technology, Policy and Industrial Development (CTPID).
Eitan’s research focuses on innovation and quality. He studies triggers that lead to tension between continuous innovation and quality, and identifies conditions under which organizations can manage and even benefit from this tension. Part of his research is the investigation of errors, which are a basic dimension of quality.
Eitan explores these and other topics in both research and development teams in hi-tech companiesand medical teams in medical centers. He uses conventionalcross-sectional research design as well as interventional design.
His research has many implications for practice and he embeds his findings in courses he teaches.
Eitan’s research has been published in the Academy of Management Journal, Journal of Applied Phycology, Journal of Operations Management, Management Science, and other leading academic journals.
He is an Associate Editor of the Journal of Operations Management and a member of the Editorial Advisory Board of The Total Quality Management Journal.
Naveh, E., Erez, M. (2004). Innovation and attention-to-detail in the quality improvement paradigm. Management Science, 50: 1576-1586.
Naveh, E., Katz-Navon, T., Stern Z. (2005). Treatment errors in healthcare: A safety climate approach. Management Science, 51: 948-960.
Naveh, E., Marcus A. (2005). Achieving competitive advantage through implementing a replicable management standard: Installing and using ISO 9000. Journal of Operations Management, 24: 1-26.
Katz-Navon, T., Naveh, E., Stern, Z. (2005). Safety climate in healthcare organizations: A multidimensional approach. Academy of Management Journal, 48: 1075-1089.
Naveh, E., Katz-Navon, T., Stern, Z. (2006). Readiness to report medical treatment errors: The effects of safety procedures, safety information, and priority of safety. Medical Care, 44: 117-123.
Naveh, E. (2007). Formality and discretion in successful R&D projects. Journal of Operations Management, 25: 110-125.
Stern, Z., Katz-Navon, T., Naveh, E. (2008). The influence of situational learning orientation, autonomy and voice on error making: The case of resident physicians. Management Science, 54: 1553-1564.
Katz-Navon, T., Naveh, E., Stern, Z. (2009). Active Learning: When is more better? The case of resident physicians' medical errors. Journal of Applied Psychology, 94: 1200-1209.
Miron-Spektor, E., Erez, M., Naveh, E. (2011). The effect of conformists and attentive-to-detail members on team innovation: Reconciling the innovation paradox. Academy of Management Journal, 54: 740-760.
Miron-Spektor, E., Erez, M., Naveh, E. (2012). To drive creativity, add some conformity. Harvard Business Review, March, p. 706.
Naveh, E., Katz-Navon, T. A longitudinal study of an intervention to improve road safety climate: Climate as an organizational boundary spanner. Journal of Applied Psychology (Forthcoming).
Managing for quality improvement and continuous innovation • Patient safety and medical treatment errors • Multilevel perspective of errors Organizational intervention and continuous improvement programs • Agility and lean operations Meta-standards (ISO 9001, ISO 14001, ISO 39001) • Organizational climate
Exploring the promise of big data for medical error elimination
This work was supported by the European Union’s Horizon 2020 Research and Innovation Program under the Marie Sklodowska-Curie Grant Agreement 702285
Errors in hospitals pose serious threats to human lives and affect total costs. Big data research is fast becoming a tool that not only analyzes patterns but can also provide the predictive likelihood of an event. Big data may be a great opportunity to make data an engine to dramatically decrease error rates in hospital. However, there is very little published research literature that tackles the challenges of using big data in organizations and explores the promise and opportunities for new theories and practices that big data might bring about. The overriding objective of this proposal is to explore the promise of big data for eliminating and managing errors in hospitals. For more detail about the project please contact me.