Mathew Chylinski

University of New South Wales (UNSW)

Sydney , NSW 2052

Australia

SCHOLARLY PAPERS

3

DOWNLOADS

195

CITATIONS

0

Scholarly Papers (3)

1.

MTurk ‘Unscrubbed’: Exploring the Good, the ‘Super’, and the Unreliable on Amazon's Mechanical Turk

UNSW Business School Research Paper No. 2015-20A
Number of pages: 45 Posted: 04 Sep 2015 Last Revised: 13 Oct 2015
Jeanette Deetlefs, Mathew Chylinski and Andreas Ortmann
UNSW Australia Business School, School of Marketing, University of New South Wales (UNSW) and UNSW Australia Business School, School of Economics
Downloads 87 (130,408)

Abstract:

data collection, experimentation, field experiment, internet, Mechanical Turk

Consumer Learning of New Binary Attribute Importance Accounting for Priors, Bias, and Order Effects

Marketing Science, Vol. 31, No. 4, pp. 549-566, 2012, DOI: 10.1287
Posted: 18 Sep 2012
Mathew Chylinski, John Roberts and Bruce Hardie
University of New South Wales (UNSW), Australian Graduate School of Management and London Business School

Abstract:

consumer utility, preference dynamics, associative learning

Consumer Learning of New Binary Attribute Importance Accounting for Priors, Bias, and Order Effects

Marketing Science, Vol. 31, No. 4, 2012; pp. 549-566; DOI: 10.1287/mksc.1120.0719
Posted: 24 Oct 2012
Mathew Chylinski, John H. Roberts and Bruce Hardie
University of New South Wales (UNSW), affiliation not provided to SSRN and London Business School

Abstract:

consumer utility, preference dynamics, associative learning

3.

Modeling Consumer Learning of New Binary Attribute Importance Accounting for Priors, Bias, and Recency

Marketing Science, Forthcoming
Posted: 12 Mar 2012 Last Revised: 26 Mar 2012
Mathew Chylinski, John Roberts and Bruce Hardie
University of New South Wales (UNSW), Australian Graduate School of Management and London Business School

Abstract:

Consumer utility, preference dynamics, associative learning