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. Tillmanns; K. Yan; F. Zahradnic

doi:10.1007/s10614-007-9121-3

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

Arizona State University

Research output: Contribution to journal › Article › peer-review

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 language	English (US)
Pages (from-to)	363-380
Number of pages	18
Journal	Computational Economics
Volume	31
Issue number	4
DOIs	https://doi.org/10.1007/s10614-007-9121-3
State	Published - May 2008

Keywords

Consumer theory
Decision aids
Experiment

ASJC Scopus subject areas

Economics, Econometrics and Finance (miscellaneous)
Computer Science Applications

Access to Document

10.1007/s10614-007-9121-3

Cite this

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

Norman, AL, 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, Tillmanns, C, Yan, K & Zahradnic, F 2008, 'Can consumer software selection code for digital cameras improve consumer performance?', Computational Economics, vol. 31, no. 4, pp. 363-380. https://doi.org/10.1007/s10614-007-9121-3

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title = "Can consumer software selection code for digital cameras improve consumer performance?",

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.",

keywords = "Consumer theory, Decision aids, Experiment",

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

year = "2008",

month = may,

doi = "10.1007/s10614-007-9121-3",

language = "English (US)",

volume = "31",

pages = "363--380",

journal = "Computer Science in Economics and Management",

issn = "0921-2736",