TY - CHAP
T1 - Empirical models of learning dynamics
T2 - A survey of recent developments
AU - Ching, Andrew T.
AU - Erdem, Tülin
AU - Keane, Michael P.
N1 - Funding Information:
Keane’s work on this project has been supported by Australian Research Council grants FF0561843 and FL110100247. Ching’s work has been supported by SSHRC. But the views expressed are entirely our own. We thank two anonymous referees and Ralf van der Lans for their helpful comments. We also thank Shervin Shahrokhi Tehrani for providing excellent research assistance. The article was previously circulated under the title “Models for Marketing Dynamics and Learning: A Survey of Recent Developments.”
Publisher Copyright:
© 2017, Springer International Publishing AG.
PY - 2017
Y1 - 2017
N2 - There is now a very large literature on dynamic learning models in marketing. Learning dynamics can be broadly defined as encompassing any process whereby the prior history of a consumer or market affects current utility evaluations (e.g., social learning, search, correlated learning, information spillover, etc.). In the present chapter, we focus on discussing this rapidly growing literature that deals with this broader view of learning dynamics.
AB - There is now a very large literature on dynamic learning models in marketing. Learning dynamics can be broadly defined as encompassing any process whereby the prior history of a consumer or market affects current utility evaluations (e.g., social learning, search, correlated learning, information spillover, etc.). In the present chapter, we focus on discussing this rapidly growing literature that deals with this broader view of learning dynamics.
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U2 - 10.1007/978-3-319-56941-3_8
DO - 10.1007/978-3-319-56941-3_8
M3 - Chapter
AN - SCOPUS:85024482771
T3 - International Series in Operations Research and Management Science
SP - 223
EP - 257
BT - International Series in Operations Research and Management Science
PB - Springer New York LLC
ER -