Spending Predictions: the Effects of Unpacking Based on Typicality

Spending predictions are key drives of important life decisions, so it is critical to understand the underlying psychology. We demonstrate that unpacking a target category of spending can increase, decrease, or leave predictions unaffected, based on the typicality of the unpacked components and the perceived spending on them.



Citation:

Konstantinos Hadjichristidis, Kishore Gopalakrishna Pillai, and Bidisha Burman (2016) ,"Spending Predictions: the Effects of Unpacking Based on Typicality", in NA - Advances in Consumer Research Volume 44, eds. Page Moreau, Stefano Puntoni, and , Duluth, MN : Association for Consumer Research, Pages: 734-734.

Authors

Konstantinos Hadjichristidis, University of Trento, Italy
Kishore Gopalakrishna Pillai, Norwich Business School; University of East Anglia, U.K.
Bidisha Burman, University of Mary, Washington



Volume

NA - Advances in Consumer Research Volume 44 | 2016



Share Proceeding

Featured papers

See More

Featured

The Upside of Incompetence: How Discounting Luxury Affects Retailer Price Image

Karen Wallach, Emory University, USA
Ryan Hamilton, Emory University, USA
morgan k ward, Emory University, USA

Read More

Featured

M7. The Mixed Effects of Nostalgia on Consumer Switching Behavior

Zhongqiang (Tak) Huang, University of Hong Kong
Xun (Irene) Huang, Nanyang Technological University, Singapore
Yuwei Jiang, Hong Kong Polytechic University

Read More

Featured

Uncertain Reward Campaigns Impact Product Size Choices

Nükhet Taylor, York University, Canada
Theodore J. Noseworthy, York University, Canada
Ethan Pancer, Saint Mary's University

Read More

Engage with Us

Becoming an Association for Consumer Research member is simple. Membership in ACR is relatively inexpensive, but brings significant benefits to its members.