Can consumer software selection code for digital cameras improve consumer performance?

A. L. Norman, M. Aberty, K. Brehm, M. Drake, S. Gour, C. Govil, B. Gu, J. Hart, G. El Kadiri, J. Ke, S. Keyburn, M. Kulkarni, N. Mehta, A. Robertson, J. Sanghai, V. Shah, J. Schieck, Y. Sivakumaran, J. Sussman, C. TillmannsK. Yan, F. Zahradnic

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Forecasting the performance of products undergoing rapid technological change requires data and the knowledge to interpret that data. We surveyed students about one such product - digital cameras - and found that they lacked knowledge to interpret the data. To show that decision aids could improve their performance, we created a digital camera selection code that included an education module and in an experiment demonstrated its superiority to (1) the recommendations of sales clerks, (2) the recommendations of digital camera owners, and (3) the recommendations of subjects with Internet access, but without access to our code.

Original languageEnglish (US)
Pages (from-to)363-380
Number of pages18
JournalComputational Economics
Volume31
Issue number4
DOIs
StatePublished - May 2008

Keywords

  • Consumer theory
  • Decision aids
  • Experiment

ASJC Scopus subject areas

  • Economics, Econometrics and Finance (miscellaneous)
  • Computer Science Applications

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    Norman, A. L., Aberty, M., Brehm, K., Drake, M., Gour, S., Govil, C., Gu, B., Hart, J., El Kadiri, G., Ke, J., Keyburn, S., Kulkarni, M., Mehta, N., Robertson, A., Sanghai, J., Shah, V., Schieck, J., Sivakumaran, Y., Sussman, J., ... Zahradnic, F. (2008). Can consumer software selection code for digital cameras improve consumer performance? Computational Economics, 31(4), 363-380. https://doi.org/10.1007/s10614-007-9121-3