Nolan Taylor

Areas of Expertise

Computer systems usability, E-Commerce, Technology-enabled group performance

Academic Degrees

• PhD, University of Georgia, 2001
• MBA, California State University, 1995
• BS, University of Alabama, 1986

Professional Experience

• Research Assistant/Instructor, University of Georgia
• Software Project Manager, Norton Air Force Base, San Bernardino, CA
• Lead Computer Engineer, Wright-Patterson Air Force Base, Dayton, OH

Awards, Honors & Certificates

• Kelley School of Business Summer Research Grant, 2004
• IUPUI Course Development Grant, 2002
• AMCIS Doctoral Consortium, 1999
• Anbar Electronic Intelligence
• KPMG Doctoral Scholar, 1995 - 1999

Selected Publications

• Taylor, N. J., E. T. Loiacono, and R. T. Watson (2008), "Alternative scenarios to the ''banner'' years: A test of alternative formats to Web banner ads," Communications of the ACM, Vol. 51, No. 2, pp. 53-58.
• Taylor, N. J. (2007), "Public grid computing participation: An exploratory study of determinants," Information & Management, Vol. 44, No. 1, pp. 12-21.
• Dennis, A. R. and N. J. Taylor (2006), “Information Foraging on the Web: The Effects of ''Acceptable'' Internet Delays on Multi-page Information Search Behavior”, Decision Support Systems, Vol. 42, No. 2, pp. 810-824.

Abstract Delays on the Web are a persistent and highly publicized problem. Long delays have been shown to reduce information search, but less is known about the impact of more modest “acceptable” delays – delays that do not reduce user satisfaction. Prior research suggests that as the time and effort required to complete a task increases, decision-makers tend to minimize effort by reducing information search activities and let decision quality slip rather than increase effort to maintain a consistent level of decision quality. In this study, we examined the effects of an acceptable time delay (seven seconds) on information search and decision making behavior. We found that the increased time and effort caused by acceptable delays provoked increased information search.

• Taylor, N. J. (2006), "The impact of grid computing project characteristics on adoption intentions,” Journal of Computer Information Systems, Vol. 47, No. 1, pp. 23-32.